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ORCIDCoRR, November 2018
- Ryan Prenger, Rafael Valle, Bryan Catanzaro:
WaveGlow: A Flow-based Generative Network for Speech Synthesis. - (Withdrawn) Deep Net Features for Complex Emotion Recognition.
- Gerasimos Lampouras, Ion Androutsopoulos:
Generating Texts with Integer Linear Programming. - Shrey Gadiya
, Deepak Anand, Amit Sethi:
Some New Layer Architectures for Graph CNN. - Sheikh Muhammad Saiful Islam, Md Mahedi Hasan:
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from Sequence Using Cascaded Convolutional and Recurrent Network. - Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks. - Nina Pörner, Masoud Jalili Sabet, Benjamin Roth, Hinrich Schütze:
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. - Yifeng Tao, Bruno Godefroy, Guillaume Genthial, Christopher Potts:
Effective Feature Representation for Clinical Text Concept Extraction. - Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang:
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. - Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh:
The UEA multivariate time series classification archive, 2018. - Nikolaos Dionelis:
On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain Kalman Filtering. - Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. - Mosab Khayat, Arif Ghafoor:
A Process-driven View on Summative Evaluation of Visual Analytics Solutions. - Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. - Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala:
The Price of Fair PCA: One Extra Dimension. - Geordie George, Angel Lozano, Martin Haenggi:
Massive MIMO Forward Link Analysis for Cellular Networks. - David Gómez-Gutiérrez, Carlos Renato Vázquez, Sergej Celikovský, Juan Diego Sánchez-Torres, Javier Ruiz-León:
On finite-time and fixed-time consensus algorithms for dynamic networks switching among disconnected digraphs. - Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy. - Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Face Recognition: From Traditional to Deep Learning Methods. - Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge:
A task in a suit and a tie: paraphrase generation with semantic augmentation. - Yu Sun, Shiqi Xu, Yunzhe Li, Lei Tian, Brendt Wohlberg, Ulugbek S. Kamilov:
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm. - David J. Miller, Xinyi Hu, Zhen Xiang, George Kesidis:
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters. - Nghia Doan, Seyyed Ali Hashemi, Elie Ngomseu Mambou, Thibaud Tonnellier, Warren J. Gross:
Neural Belief Propagation Decoding of CRC-Polar Concatenated Codes. - Karl J. Kreder III:
BlockReduce: Scaling Blockchain to Human Commerce. - Amaru Cuba Gyllensten, Magnus Sahlgren:
Measuring Issue Ownership using Word Embeddings. - Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman:
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning. - Yijun Xiao, Tiancheng Zhao, William Yang Wang:
Dirichlet Variational Autoencoder for Text Modeling. - Nathaniel Harms:
Testing Halfspaces over Rotation-Invariant Distributions. - Tingting Li, Cheng Feng, Chris Hankin:
Improving ICS Cyber Resilience through Optimal Diversification of Network Resources. - Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh:
Democratizing Production-Scale Distributed Deep Learning. - Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John C. Duchi, Russ Tedrake:
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation. - Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. - Haoyu Wang, Vivek Kulkarni, William Yang Wang:
DOLORES: Deep Contextualized Knowledge Graph Embeddings. - Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. - Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. - Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. - Beau Johnston, Gregory Falzon, Josh Milthorpe:
OpenCL Performance Prediction using Architecture-Independent Features. - Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. - Zahra Sadeghi:
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons. - Yu-An Wang, Yu-Kai Huang, Tzu-Chuan Lin, Shang-Yu Su, Yun-Nung Chen:
Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder. - Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. - Panagiotis Kasnesis, Charalampos Z. Patrikakis, Iakovos S. Venieris:
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion. - Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan:
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks. - Karim Eldefrawy, Ivan Oliveira Nunes, Norrathep Rattanavipanon, Michael Steiner, Gene Tsudik:
Formally Verified Hardware/Software Co-Design for Remote Attestation. - Charanjeet, Anuj Sharma:
Online learning using multiple times weight updating. - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Improving Robustness of Attention Models on Graphs. - Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang:
Dial2Desc: End-to-end Dialogue Description Generation. - Jiayang Liu, Dongdong Hou, Weiming Zhang, Nenghai Yu:
Reversible Adversarial Examples. - Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
Decidable Verification of Uninterpreted Programs. - Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. - Hao Yu, Vivek Kulkarni, William Yang Wang:
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings. - Christopher Mohri:
Online Learning Algorithms for Statistical Arbitrage. - Pranay Mukherjee, Abhirup Das, Ayan Kumar Bhunia, Partha Pratim Roy:
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception. - Yinzheng Gu, Chuanpeng Li, Jinbin Xie:
Attention-aware Generalized Mean Pooling for Image Retrieval. - Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. - Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau:
I Know the Feeling: Learning to Converse with Empathy. - Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang:
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. - Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. - Vipul Harsh, Sangeetha Abdu Jyothi, Inderdeep Singh, Philip Brighten Godfrey:
Expander Datacenters: From Theory to Practice. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. - Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, Xilin Chen:
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning. - Ashif Sikandar Iquebal, Satish T. S. Bukkapatnam:
Unsupervised image segmentation via maximum a posteriori estimation of continuous max-flow. - Kaidi Cao, Jing Liao, Lu Yuan:
CariGANs: Unpaired Photo-to-Caricature Translation. - Jong Wook Kim, Rachel M. Bittner, Aparna Kumar, Juan Pablo Bello:
Neural Music Synthesis for Flexible Timbre Control. - Naomi Saphra, Adam Lopez:
Understanding Learning Dynamics Of Language Models with SVCCA. - Grant Schoenebeck, Shih-Tang Su, Vijay G. Subramanian:
Social Learning with Questions. - Daouda Sow, Zengchang Qin, Mouhamed Niasse, Tao Wan:
A sequential guiding network with attention for image captioning. - Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension. - Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-based Path Prediction. - Tatsuya Chuman, Warit Sirichotedumrong, Hitoshi Kiya:
Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images. - Hao Li, Yang Wang, Xinyu Liu, Zhichao Sheng, Si Wei:
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data. - Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. - Farhad Bin Siddique, Dario Bertero, Pascale Fung:
GlobalTrait: Personality Alignment of Multilingual Word Embeddings. - Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham, Haihua Xu, Eng Siong Chng, Haizhou Li:
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition. - Jinwon An, Sungwon Lyu, Sungzoon Cho:
SARN: Relational Reasoning through Sequential Attention. - P. Manisha, Sujit Gujar:
A Neural Network Framework for Fair Classifier. - Dichao Hu:
Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data. - Yang He, Ping Liu, Ziwei Wang, Yi Yang:
Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration. - Kaitao Song, Tan Xu, Furong Peng, Jianfeng Lu:
Hybrid Self-Attention Network for Machine Translation. - Yaqiang Yao, Yan Liu, Huanhuan Chen:
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches. - Long Zhou, Yuchen Liu, Jiajun Zhang, Chengqing Zong, Guoping Huang:
Language-Independent Representor for Neural Machine Translation. - Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye:
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. - Masahito Hayashi:
Semi-Finite Length Analysis for Information Theoretic Tasks. - Yaqiang Yao, Huanhuan Chen:
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. - Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. - Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Phrases with Local and Global Contexts. - Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang:
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. - Yiling Yuan, Tao Yang, Yuedong Xu, Hui Feng, Bo Hu:
A Cascaded Channel-Power Allocation for D2D Underlaid Cellular Networks Using Matching Theory. - Cho-Ying Wu, Ulrich Neumann:
Efficient Multi-Domain Dictionary Learning with GANs. - Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun:
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy. - Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. - Dezhi Wang, Lilun Zhang, Changchun Bao, Kele Xu, Boqing Zhu, Qiuqiang Kong:
Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data. - Ev Zisselman, Jeremias Sulam, Michael Elad:
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model. - Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez:
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking. - Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. - Emna Krichene, Wael Ouarda, Habib Chabchoub, Adel M. Alimi:
Taylor-based Optimized Recursive Extended Exponential Smoothed Neural Networks Forecasting Method. - Vasileios Argyriou:
Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain. - Yu Hong Yeung, Alex Pothen, Jessica Crouch:
AMPS: A Real-time Mesh Cutting Algorithm for Surgical Simulations. - Qin Zou, Yanling Wang, Yi Zhao, Qian Wang, Chao Shen, Qingquan Li:
Deep Learning Based Gait Recognition Using Smartphones in the Wild. - Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Ji-Lin Li, Chengjie Wang, Feiyue Huang, Yu Chen:
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. - Subeesh Vasu, Thekke Madam Nimisha, Rajagopalan Ambasamudram Narayanan:
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network. - Mokshay Madiman, Piotr Nayar, Tomasz Tkocz:
Entropy versus variance for symmetric log-concave random variables and related problems. - Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia, Florian Metze:
How2: A Large-scale Dataset for Multimodal Language Understanding. - Haitong Zhang, Junbo Zhang, Yujun Wang:
Sequence-to-sequence Models for Small-Footprint Keyword Spotting. - Haitong Zhang, Junbo Zhang, Yujun Wang:
End-to-end Models with auditory attention in Multi-channel Keyword Spotting. - Iacer Calixto, Miguel Rios, Wilker Aziz:
Latent Visual Cues for Neural Machine Translation. - Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Cuihua Li:
Bi-GANs-ST for Perceptual Image Super-resolution. - Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. - V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages. - Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Continuous-time Intensity Estimation Using Event Cameras. - Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge:
Excessive Invariance Causes Adversarial Vulnerability. - Herman Kamper:
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder models. - Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. - Ewin Tang:
Quantum-inspired classical algorithms for principal component analysis and supervised clustering. - Avanti Shrikumar, Katherine Tian, Anna Shcherbina, Ziga Avsec, Abhimanyu Banerjee, Mahfuza Sharmin, Surag Nair, Anshul Kundaje:
TF-MoDISco v0.4.4.2-alpha: Technical Note. - Raul-Jose Palma-Mendoza, Daniel Rodríguez, Luis de-Marcos:
Distributed ReliefF based Feature Selection in Spark. - Christopher Iliffe Sprague, Özer Özkahraman, Andrea Munafò, Rachel Marlow, Alexander B. Phillips, Petter Ögren:
Improving the Modularity of AUV Control Systems using Behaviour Trees. - Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup:
Temporal Regularization in Markov Decision Process. - Jinyin Chen, Lihong Chen, Yixian Chen, Minghao Zhao, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
GA Based Q-Attack on Community Detection. - Haggai Roitman, Guy Feigenblat, David Konopnicki, Doron Cohen, Odellia Boni:
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization. - Nehal Doiphode, Rahul Mitra, Shuaib Ahmed, Arjun Jain:
An Improved Learning Framework for Covariant Local Feature Detection. - Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning. - Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley:
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. - Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. - Yue Li, Manolis Kellis:
A latent topic model for mining heterogenous non-randomly missing electronic health records data. - Yulin Hu, Xiaopeng Yuan, Jie Xu, Anke Schmeink:
Optimal 1D Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer. - Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. - Gabriel Biscaro Cavallari, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis. - Xiaofan Xu, Mi Sun Park, Cormac Brick:
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices. - Denis Kuperberg, Anirban Majumdar:
Computing the Width of Non-deterministic Automata. - Ilias I. Giannakopoulos, Mikhail S. Litsarev, Athanasios G. Polimeridis:
Memory footprint reduction for the FFT-based volume integral equation method via tensor decompositions. - Ngoc-Tu Nguyen, Bing-Hong Liu, Shih-Yuan Wang:
On New Approaches of Maximum Weighted Target Coverage and Sensor Connectivity: Hardness and Approximation. - Alane Suhr, Stephanie Zhou, Iris Zhang, Huajun Bai, Yoav Artzi:
A Corpus for Reasoning About Natural Language Grounded in Photographs. - Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng:
Modeling Attention Flow on Graphs. - Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz:
Multilingual NMT with a language-independent attention bridge. - Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan:
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. - Jing Bi, Tianyou Xiao, Qiuyue Sun, Chenliang Xu:
Navigation by Imitation in a Pedestrian-Rich Environment. - Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao:
A bird's-eye view on coherence, and a worm's-eye view on cohesion. - Congzheng Song, Vitaly Shmatikov:
The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model. - Bryan He, James Zou:
Minimizing Close-k Aggregate Loss Improves Classification. - Marc Khoury, Dylan Hadfield-Menell:
On the Geometry of Adversarial Examples. - Arkady Molev-Shteiman, Stefano Galli, Laurence Mailaender, Xiao-Feng Qi:
The Effect of Diversity Combining on ISI in Massive MIMO. - Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. - Colin Graber, Ofer Meshi, Alexander G. Schwing:
Deep Structured Prediction with Nonlinear Output Transformations. - Erva Ulu:
Enhancing the Structural Performance of Additively Manufactured Objects. - Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multiple-Attribute Text Style Transfer. - Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng:
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing. - Jean Thierry-Mieg:
How the fundamental concepts of mathematics and physics explain deep learning. - Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Functional Nonlinear Sparse Models. - Philipp Dufter, Hinrich Schütze:
A Stronger Baseline for Multilingual Word Embeddings. - Bin Wang, Xin Xu, Kai Sun:
Power System Transient Stability Analysis Using Truncated Taylor Expansion Systems. - Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi:
Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries. - Liangliang Zhao, Jingdong Zhao, Hong Liu, Dinesh Manocha:
Collision-Free Kinematics for Redundant Manipulators in Dynamic Scenes using Optimal Reciprocal Velocity Obstacles. - Lorenzo De Stefani, Leonhard F. Spiegelberg, Tim Kraska, Eli Upfal:
VizRec: A framework for secure data exploration via visual representation. - Zhiwen Tang, Grace Hui Yang:
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. - Rui Rodrigues de Mello Junior, Leandro Santiago de Araújo, Tiago A. O. Alves, Leandro A. J. Marzulo, Gabriel Antoine Louis Paillard, Felipe M. G. França:
Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulation. - Jesse Thomason, Daniel Gordon, Yonatan Bisk:
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. - Mehrnoosh Sadrzadeh, Matthew Purver, Julian Hough, Ruth Kempson:
Exploring Semantic Incrementality with Dynamic Syntax and Vector Space Semantics. - David Bryant, Céline Scornavacca:
An O(n log n) time Algorithm for computing the Path-length Distance between Trees. - Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu:
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. - Chirag Agarwal, Anh Nguyen, Dan Schonfeld:
Improving Adversarial Robustness by Encouraging Discriminative Features. - Michael Kruse, Hal Finkel:
User-Directed Loop-Transformations in Clang. - Jiaao Chen, Jianshu Chen, Zhou Yu:
Incorporating Structured Commonsense Knowledge in Story Completion. - Michael Kruse, Hal Finkel:
Loop Optimization Framework. - Bojan Petrovski, Ignacio Aguado, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Embedding Individual Table Columns for Resilient SQL Chatbots. - Ankur Chowdhary, Dijiang Huang, Adel Alshamrani, Abdulhakim Sabur, Myong H. Kang, Anya Kim, Alexander Velazquez:
SDFW: SDN-based Stateful Distributed Firewall. - Ankur Chowdhary, Adel Alshamrani, Dijiang Huang, Myong H. Kang, Anya Kim, Alexander Velazquez:
TRUFL: Distributed Trust Management framework in SDN. - Brandon Tran, Jerry Li, Aleksander Madry:
Spectral Signatures in Backdoor Attacks. - Alexander Shekhovtsov, Boris Flach:
Stochastic Normalizations as Bayesian Learning. - Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon:
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization. - Guangmo Tong, Weili Wu, Ding-Zhu Du:
An Approximation Algorithm for Active Friending in Online Social Networks. - Mohammadreza Rezvan, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
Analyzing and learning the language for different types of harassment. - Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. - Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang, Abdulhakim Sabur:
Adaptive MTD Security using Markov Game Modeling. - Nadja Brouns, Samir Tata, Heiko Ludwig, Estefanía Serral Asensio, Paul Grefen:
Modeling IoT-aware Business Processes - A State of the Art Report. - Ankur Chowdhary, Dijiang Huang:
SDN based Network Function Parallelism in Cloud. - Yuezun Li, Siwei Lyu:
Exposing DeepFake Videos By Detecting Face Warping Artifacts. - Ankur Chowdhary, Adel Alshamrani, Dijiang Huang:
SUPC: SDN enabled Universal Policy Checking in Cloud Network. - Deren Lei, Zichen Sun, Yijun Xiao, William Yang Wang:
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications. - Xin Yang, Yuezun Li, Siwei Lyu:
Exposing Deep Fakes Using Inconsistent Head Poses. - Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. - Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren:
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence. - Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho:
Dialogue Natural Language Inference. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. - Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. - Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro:
SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Ruochen Yang, Gaurav Gupta, Paul Bogdan:
Data-driven Perception of Neuron Point Process with Unknown Unknowns. - Chuong Le, Huy Xuan Pham, Hung Manh La:
A Multi-Robotic System for Environmental Cleaning. - Yuan Wang, Hideaki Ishii:
Resilient Consensus Through Asynchronous Event-based Communication. - Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu:
Zero-Shot Transfer VQA Dataset. - Yanran Li, Wenjie Li:
Meta-path Augmented Response Generation. - Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha:
Design Verifiably Correct Model Patterns to Facilitate Modeling Medical Best Practice Guidelines with Statecharts (Technical Report). - Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. - Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai:
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering. - Chong Gao, Taolue Chen, Zhilin Wu:
Separation Logic with Linearly Compositional Inductive Predicates and Set Data Constraints. - Jia Li, Yafei Song, Jianfeng Zhu, Lele Cheng, Ying Su, Lin Ye, Pengcheng Yuan, Shumin Han:
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification. - Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova, Benjamin P. Turnbull:
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset. - Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Learning Latent Fractional dynamics with Unknown Unknowns. - Luís Borges, Bruno Martins, Pável Calado:
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News. - Jason Li, Ravi Gadde, Boris Ginsburg, Vitaly Lavrukhin:
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation. - Marek Cygan, Guy Kortsarz, Bundit Laekhanukit:
On subexponential running times for approximating directed Steiner tree and related problems. - He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. - Ting-Rui Chiang, Yun-Nung Chen:
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. - Xiang Li, Haiyang Xue, Wei Chen, Yang Liu, Yang Feng, Qun Liu:
Improving the Robustness of Speech Translation. - Yiling Yuan, Tao Yang, Yuedong Xu, Bo Hu:
Cooperative Spectrum Sharing Between D2D Users and Edge-Users: A Matching Theory Perspective. - Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. - Xiaoyu Wang, Cailian Chen, Yang Min, Jianping He, Bo Yang, Yang Zhang:
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network. - Jean-Philippe Martin, Eunjin Jung:
Rationality-proof consensus: extended abstract. - Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Unique Identification of Macaques for Population Monitoring and Control. - Jingyi Li, Michelle X. Zhou, Huahai Yang, Gloria Mark:
Confiding in and Listening to Virtual Agents: The Effect of Personality. - Simon Williams, Arthur George Suvorov, Zengfu Wang, Bill Moran:
Information Geometry of Sensor Configuration. - Shuo Yang:
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data. - Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang:
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. - Kartik Ahuja, Mihaela van der Schaar:
Risk-Stratify: Confident Stratification Of Patients Based On Risk. - Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. - Uri Abraham:
On the Lazy Set object. - Chandan Kalita, Gautam Barua, Priya Sehgal:
DurableFS: A File System for Persistent Memory. - Hakime Öztürk, Arzucan Özgür, Elif Özkirimli Ölmez:
A chemical language based approach for protein - ligand interaction prediction. - Yaonan Jin, Pinyan Lu, Qi Qi, Zhihao Gavin Tang, Tao Xiao:
Tight Approximation Ratio of Anonymous Pricing. - Naoki Sakamoto, Youhei Akimoto:
Ranking Based Linear Constraint Handling Method with Adaptive Penalty. - Ray Oshikawa, Jing Qian, William Yang Wang:
A Survey on Natural Language Processing for Fake News Detection. - Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar:
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. - Edwin Simpson, Iryna Gurevych:
Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging. - Byeongchang Kim, Hyunwoo Kim, Gunhee Kim:
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. - J. R. Caldwell, Richard A. Watson, Christoph Thies, Joshua D. Knowles:
Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks. - Tamara Mchedlidze, Marcel Radermacher, Ignaz Rutter, Nina Zimbel:
Drawing Clustered Graphs on Disk Arrangements. - Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model. - Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. - Mitsuru Kusumoto, Keisuke Yahata, Masahiro Sakai:
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning. - Anton Andreychuk, Natalia Soboleva, Konstantin S. Yakovlev:
eLIAN: Enhanced Algorithm for Angle-constrained Path Finding. - Sebastian Baltes, Lorik Dumani, Christoph Treude, Stephan Diehl:
The Evolution of Stack Overflow Posts: Reconstruction and Analysis. - Amin Ghazanfari, Emil Björnson, Erik G. Larsson:
Power Control for D2D Underlay in Multi-cell Massive MIMO Networks. - Michael A. Bekos, Henry Förster, Martin Gronemann, Tamara Mchedlidze, Fabrizio Montecchiani, Chrysanthi N. Raftopoulou, Torsten Ueckerdt:
Planar Graphs of Bounded Degree have Constant Queue Number. - Miriam Backens, Leslie Ann Goldberg:
Holant clones and the approximability of conservative holant problems. - Juheon Lee, Seohyun Kim, Kyogu Lee:
Listen to Dance: Music-driven choreography generation using Autoregressive Encoder-Decoder Network. - Rainer Niedermayr, Tobias Röhm, Stefan Wagner:
Too Trivial To Test? An Inverse View on Defect Prediction to Identify Methods with Low Fault Risk. - Mireille El Gheche, Pascal Frossard:
Multilayer Graph Signal Clustering. - Davide Maiorca, Battista Biggio, Giorgio Giacinto:
Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware. - Stefan Edelkamp, Armin Weiß:
Worst-Case Efficient Sorting with QuickMergesort. - Kaustav Bose, Ranendu Adhikary, Manash Kumar Kundu, Buddhadeb Sau:
Arbitrary Pattern Formation on Infinite Grid by Asynchronous Oblivious Robots. - Shayan Aziznejad, Michael Unser:
An L1 Representer Theorem for Multiple-Kernel Regression. - Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. - Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. - Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. - Yasha Singh, Dhruv Srivastava, P. S. Chandranand, Surinder Singh:
Algorithms for screening of Cervical Cancer: A chronological review. - Daniel Goldfarb:
Understanding Deep Neural Networks Using Topological Data Analysis. - Adel Rahimi, Mohammad Bahrani:
Improving Information Retrieval Results for Persian Documents using FarsNet. - Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-based Recommendation with Graph Neural Networks. - Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. - Durmus Ozkan Sahin, Erdal Kiliç:
Comparison of Classification Algorithms Used Medical Documents Categorization. - Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung:
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN. - Sandro Sozzo:
Quantum Structures in Human Decision-making: Towards Quantum Expected Utility. - Deniz Lefkeli, Baris Akgün, Sahibzada Omar, Aansa Malik, Zeynep Gurhan Canli, Terry Eskenazi:
Mind in the Machine: Perceived Minds Induce Decision Change. - Yunming Xiao, Bin Wu:
Clustering mutants favor and disfavor fixation. - Shamel Fahmi, Carlos Mastalli, Michele Focchi, Claudio Semini:
Passivity Based Whole-body Control for Quadrupedal Locomotion on Challenging Terrain. - Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke:
Competitively Chasing Convex Bodies. - Maria I. Gorinova, Andrew D. Gordon, Charles Sutton:
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic. - James Large, Paul Southam, Anthony J. Bagnall:
Can automated smoothing significantly improve benchmark time series classification algorithms? - Ahmed Eleliemy, Ali Mohammed, Florina M. Ciorba:
Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling. - Ilya Kulikov, Alexander H. Miller, Kyunghyun Cho, Jason Weston:
Importance of a Search Strategy in Neural Dialogue Modelling. - Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin:
Online Diverse Learning to Rank from Partial-Click Feedback. - David Vargas, Yong Jin Daniel Kim:
Two-Layered Superposition of Broadcast/Multicast and Unicast Signals in Multiuser OFDMA Systems. - Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller:
Convolutional Neural Networks for Epileptic Seizure Prediction. - Sajjad Arshad, Seyed Ali Mirheidari, Tobias Lauinger, Bruno Crispo, Engin Kirda, William K. Robertson:
Large-Scale Analysis of Style Injection by Relative Path Overwrite. - Tobias Lauinger, Abdelberi Chaabane, Sajjad Arshad, William K. Robertson, Christo Wilson, Engin Kirda:
Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web. - Sajjad Arshad, Amin Kharraz, William K. Robertson:
Identifying Extension-based Ad Injection via Fine-grained Web Content Provenance. - Muhammad Ahmad Bashir, Sajjad Arshad, William K. Robertson, Christo Wilson:
Tracing Information Flows Between Ad Exchanges Using Retargeted Ads. - Seyed Ali Mirheidari, Sajjad Arshad, Rasool Jalili:
Alert Correlation Algorithms: A Survey and Taxonomy. - Seyed Ali Mirheidari, Sajjad Arshad, Saeidreza Khoshkdahan, Rasool Jalili:
A Comprehensive Approach to Abusing Locality in Shared Web Hosting Servers. - Seyed Ali Mirheidari, Sajjad Arshad, Saeidreza Khoshkdahan, Rasool Jalili:
Two Novel Server-Side Attacks against Log File in Shared Web Hosting Servers. - Seyed Ali Mirheidari, Sajjad Arshad, Saeidreza Khoshkdahan:
Performance Evaluation of Shared Hosting Security Methods. - Sajjad Arshad, Maghsoud Abbaspour, Mehdi Kharrazi, Hooman Sanatkar:
An Anomaly-based Botnet Detection Approach for Identifying Stealthy Botnets. - Sajjad Arshad, Amin Kharraz, William K. Robertson:
Include Me Out: In-Browser Detection of Malicious Third-Party Content Inclusions. - Gaurav Bhatt, Akshita Gupta, Aditya Arora, Balasubramanian Raman:
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture. - Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. - Raphael Tang, Jimmy Lin:
Progress and Tradeoffs in Neural Language Models. - Spyros Chatzivasileiadis:
Lecture Notes on Optimal Power Flow (OPF). - Ankur Moitra, Alexander S. Wein:
Spectral Methods from Tensor Networks. - Kurt Shuster, Samuel Humeau, Antoine Bordes, Jason Weston:
Engaging Image Chat: Modeling Personality in Grounded Dialogue. - Klaus Jansen, Alexandra Lassota, Lars Rohwedder:
Near-Linear Time Algorithm for n-fold ILPs via Color Coding. - Klaus Jansen, Lars Rohwedder:
Local search breaks 1.75 for Graph Balancing. - Konstantinos Dovelos, Boris Bellalta:
Optimal Resource Allocation for Uplink OFDMA in 802.11ax Networks. - Bo Liu, Luwan Zhang, Ji Liu:
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. - Loïc Vial, Benjamin Lecouteux, Didier Schwab:
Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships. - Igor Shalyminov, Ondrej Dusek, Oliver Lemon:
Neural Response Ranking for Social Conversation: A Data-Efficient Approach. - Jakub Bulín, Andrei A. Krokhin, Jakub Oprsal:
Algebraic approach to promise constraint satisfaction. - Eren Balevi, Jeffrey G. Andrews:
One-Bit OFDM Receivers via Deep Learning. - Naman D. Singh, Abhinav Dhall:
Clustering and Learning from Imbalanced Data. - Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown:
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems. - Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. - Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski, Dimitrios Mavroeidis:
Anomaly Detection for imbalanced datasets with Deep Generative Models. - David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines. - Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen:
Invertible Residual Networks. - James O'Neill, Danushka Bollegala:
Analysing Dropout and Compounding Errors in Neural Language Models. - Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke:
Chasing Nested Convex Bodies Nearly Optimally. - Mirac Suzgun, Yonatan Belinkov, Stuart M. Shieber:
On Evaluating the Generalization of LSTM Models in Formal Languages. - Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. - Peng Shi, Jinfeng Rao, Jimmy Lin:
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. - Abhisekh Sankaran:
A Generalization of the Łoś-Tarski Preservation Theorem - Dissertation Summary. - Emmanouil Theodosis, Petros Maragos:
An Adaptive Pruning Algorithm for Spoofing Localisation Based on Tropical Geometry. - Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. - Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. - Philipp Jordan, Paula Alexandra Silva:
Building an Argument for the Use of Science Fiction in HCI Education. - Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. - Junyan Wu, Xiaoxiao Li, Eric Z. Chen, Hongda Jiang, Xu Dong, Ruichen Rong:
What evidence does deep learning model use to classify Skin Lesions? - Kaiyi Ji, Yingbin Liang:
Minimax Estimation of Neural Net Distance. - Mikhail Hayhoe, Francisco Barreras, Hamed Hassani, Victor M. Preciado:
SPECTRE: Seedless Network Alignment via Spectral Centralities. - Aditi Raghunathan, Jacob Steinhardt, Percy Liang:
Semidefinite relaxations for certifying robustness to adversarial examples. - Matthias Lalisse, Paul Smolensky:
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations. - Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Augmenting Neural Response Generation with Context-Aware Topical Attention. - Surafel Melaku Lakew, Aliia Erofeeva, Marcello Federico:
Neural Machine Translation into Language Varieties. - Jin Wu:
Real-time Magnetometer Disturbance Estimation via Online Nonlinear Programming. - Adrián Peñate Sánchez, Lourdes Agapito:
3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds. - Yong Wang:
Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing. - Vincent Kurtz, Hai Lin:
Toward Verifiable Real-Time Obstacle Motion Prediction for Dynamic Collision Avoidance. - Will Ma, David Simchi-Levi, Jinglong Zhao:
Dynamic Pricing under a Static Calendar. - Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju:
Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading. - Sayed Mazdak Abulnaga, Jonathan Rubin:
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss. - Jason Phang, Thibault Févry, Samuel R. Bowman:
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks. - Dor Muhlgay, Jonathan Herzig, Jonathan Berant:
Value-based Search in Execution Space for Mapping Instructions to Programs. - Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. - Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? - Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun:
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. - Stefan Hell, Vasileios Argyriou:
Machine learning architectures to predict motion sickness using a Virtual Reality rollercoaster simulation tool. - Roohollah Etemadi, Jianguo Lu:
The estimation of bias and variance in clustering coefficient streaming algorithms. - Sujay Kumar Jauhar, Michael Gamon, Patrick Pantel:
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer. - Xing Niu, Weijia Xu, Marine Carpuat:
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. - Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov, Nilesh Chakraborty, Asja Fischer, Jens Lehmann:
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. - Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Direct Citations between Citing Publications. - Arun Ganesh, Qiuyi (Richard) Zhang:
Optimal Sequence Length Requirements for Phylogenetic Tree Reconstruction with Indels. - Gunnar E. Carlsson, Rickard Brüel Gabrielsson:
Topological Approaches to Deep Learning. - Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin:
Unsupervised Hyperalignment for Multilingual Word Embeddings. - Souvik Kundu, Tushar Khot, Ashish Sabharwal:
Exploiting Explicit Paths for Multi-hop Reading Comprehension. - Bei Jia, Surjyendu Ray, Sam Safavi, José Bento:
Efficient Projection onto the Perfect Phylogeny Model. - Leonardo de Paula Carvalho, Jonathan M. Palma, Lucas P. Moreira, Alim P. C. Gonçalves:
The Burst Failure Influence on the H∞ Norm. - Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson:
VIREL: A Variational Inference Framework for Reinforcement Learning. - Nicolas Papernot:
A Marauder's Map of Security and Privacy in Machine Learning. - Lajanugen Logeswaran, Honglak Lee, Samy Bengio:
Content preserving text generation with attribute controls. - Mikel Artetxe, Holger Schwenk:
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. - Surafel Melaku Lakew, Aliia Erofeeva, Matteo Negri, Marcello Federico, Marco Turchi:
Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary. - Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang:
Multitask learning for frame-level instrument recognition. - Robert E. Kent:
The IFF Approach to the Lattice of Theories. - Amanda Rios, Laurent Itti:
Closed-Loop GAN for continual Learning. - Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. - Qianqian Zhang, Walid Saad, Mehdi Bennis, Xing Lu, Mérouane Debbah, Wangda Zuo:
Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory. - Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Identifying and Controlling Important Neurons in Neural Machine Translation. - Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang:
Boosted Sparse and Low-Rank Tensor Regression. - Engin Arslan, Ahmed Alhussen:
Fast Integrity Verification for High-Speed File Transfers. - An Zhang, Yong Chen, Zhi-Zhong Chen, Guohui Lin:
Improved approximation algorithms for path vertex covers in regular graphs. - Timm Faulwasser, Alexander Engelmann, Tillmann Mühlpfordt, Veit Hagenmeyer:
Optimal Power Flow: An Introduction to Predictive, Distributed and Stochastic Control Challenges. - Binh Nguyen, Atsuhiro Takasu:
Learning Representations from Product Titles for Modeling Large-scale Transaction Logs. - Mayank Sharma, Jayadeva, Sumit Soman:
Radius-margin bounds for deep neural networks. - Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye:
Nonparallel Emotional Speech Conversion. - Mohammed A. Almagboul, Feng Shu, Yaolu Qin, Xiaobo Zhou, Jin Wang, Yuwen Qian, Kingsley Jun Zou:
An Efficient Hybrid Beamforming Design for Massive MIMO Receive Systems via SINR Maximization Based on an Improved Bat Algorithm. - Michael Gene Dobbins, Andreas F. Holmsen, Tillmann Miltzow:
Smoothed Analysis of the Art Gallery Problem. - Nasrin Sadat Zarif, Hamed Najafi, Mehdi Imani:
A New Hybrid Method of IPv6 Addressing in the Internet of Things. - Drahomira Herrmannova, Steven R. Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe:
Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. - Dianhao Zheng, Hongbin Zhang, J. Andrew Zhang, Steven W. Su:
Stability Analysis for Switched Systems with Sequence-based Average Dwell Time. - Amir Afianian, Salman Niksefat, Babak Sadeghiyan, David Baptiste:
Malware Dynamic Analysis Evasion Techniques: A Survey. - Themos Stafylakis, Muhammad Haris Khan, Georgios Tzimiropoulos:
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs. - (Withdrawn) Biconvex Landscape In SDP-Related Learning.
- Enzo Rucci, Armando De Giusti, Marcelo R. Naiouf:
Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study. - Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. - Nicola Prezza:
Optimal Rank and Select Queries on Dictionary-Compressed Text. - Bita Shams, Saman Haratizadeh:
Reliable graph-based collaborative ranking. - Zhehui Chen, Haoming Jiang, Bo Dai, Tuo Zhao:
Learning to Defense by Learning to Attack. - Anindya De, Ryan O'Donnell, Rocco A. Servedio:
Learning sparse mixtures of rankings from noisy information. - Xiaoyi Dong, Weiming Zhang, Nenghai Yu:
CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network. - Nabil Ibtehaz, M. Kaykobad, M. Sohel Rahman:
Multidimensional segment trees can do range queries and updates in logarithmic time. - Xiao-Lei Zhang, Zi-Chen Fan:
Deep Ad-hoc Beamforming. - Amanda Belleville, David Doty, David Soloveichik:
Hardness of computing and approximating predicates and functions with leaderless population protocols. - Jun Feng, Minlie Huang, Yijie Zhang, Yang Yang, Xiaoyan Zhu:
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning. - Norah M. Asiri, Muhammad Hussain, Hatim A. Aboalsamh:
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey. - Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston:
Wizard of Wikipedia: Knowledge-Powered Conversational agents. - Daniel Jiwoong Im, Nakul Verma, Kristin Branson:
Stochastic Neighbor Embedding under f-divergences. - Dmitry Kosolobov, Nikita Sivukhin:
Compressed Multiple Pattern Matching. - Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh:
Dynamic Feature Acquisition Using Denoising Autoencoders. - Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Multi-View Networks For Multi-Channel Audio Classification. - Andrzej Reinke, Marco Camurri, Claudio Semini:
A Factor Graph Approach to Multi-Camera Extrinsic Calibration on Legged Robots. - Eric S. Rowland, Reem Yassawi:
Automaticity and invariant measures of linear cellular automata. - Stefan Edelkamp, Armin Weiß, Sebastian Wild:
QuickXsort - A Fast Sorting Scheme in Theory and Practice. - Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield:
Legible Normativity for AI Alignment: The Value of Silly Rules. - Samvit Jain, Junchen Jiang, Yuanchao Shu, Ganesh Ananthanarayanan, Joseph Gonzalez:
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale. - Amos Korman, Yoav Rodeh:
Cooperative Search Games: Symmetric Equilibria, Robustness, and Price of Anarchy. - Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig:
Building a Winning Self-Driving Car in Six Months. - Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith:
Challenges in detecting evolutionary forces in language change using diachronic corpora. - Pavel Kus, Andreas Marek, Simone S. Koecher, Hagen-Henrik Kowalski, Christian Carbogno, Christoph Scheurer, Karsten Reuter, Matthias Scheffler, Hermann Lederer:
Optimizations of the Eigensolvers in the ELPA Library. - Heide Gluesing-Luerssen, Alberto Ravagnani:
Partitions of Matrix Spaces With an Application to q-Rook Polynomials. - Shahar Mahpod, Yosi Keller:
Auto-ML Deep Learning for Rashi Scripts OCR. - Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki:
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. - Dusan Knop, Michal Pilipczuk, Marcin Wrochna:
Tight complexity lower bounds for integer linear programming with few constraints. - Minh N. B. Nguyen, Samuel Thomas, Anne E. Gattiker, Sujatha Kashyap, Kush R. Varshney:
SimplerVoice: A Key Message & Visual Description Generator System for Illiteracy. - Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau:
Adversarial Gain. - Hossein K. Mousavi, Qiyu Sun, Nader Motee:
Space-Time Sampling for Network Observability. - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. - Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee:
Block-wise Partitioning for Extreme Multi-label Classification. - Augusto Luis Ballardini, Daniele Cattaneo, Domenico G. Sorrenti:
A dataset for benchmarking vision-based localization at intersections. - Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Towards Unsupervised Speech-to-Text Translation. - Shreya Khare, Rahul Aralikatte, Senthil Mani:
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization. - Alireza Farhadi, MohammadTaghi Hajiaghayi, Kasper Green Larsen, Elaine Shi:
Lower Bounds for External Memory Integer Sorting via Network Coding. - Xilei Zhao, James C. Spall:
Modeling Traffic Networks Using Integrated Route and Link Data. - Xilei Zhao, Xiang Yan, Alan Yu, Pascal Van Hentenryck:
Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models. - Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Nonlinear Collaborative Scheme for Deep Neural Networks. - Felipe Grando, Diego Noble, Luís C. Lamb:
An Analysis of Centrality Measures for Complex and Social Networks. - Aaron Stump:
Syntax and Typing for Cedille Core. - Sreelekshmi S, K. R. Remesh Babu:
Synchronized Multi-Load Balancer with Fault Tolerance in Cloud. - Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. - Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su:
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. - Yinpei Dai, Yichi Zhang, Zhijian Ou, Yanmeng Wang, Junlan Feng:
Elastic CRFs for Open-ontology Slot Filling. - Ittai Abraham, Dahlia Malkhi, Alexander Spiegelman:
Validated Asynchronous Byzantine Agreement with Optimal Resilience and Asymptotically Optimal Time and Word Communication. - Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with neighbors embedding and gradient matching. - Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. - Ashish Ranjan, Akshay Deepak, Md. Shah Fahad, Sudhakar Tripathi:
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences. - Ahmadreza Ahmadi, Jun Tani:
Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN. - Dana Berman, Deborah Levy, Shai Avidan, Tali Treibitz:
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset. - Ahmed Eleliemy, Ali Mohammed, Florina M. Ciorba:
Exploring the Relation Between Two Levels of Scheduling Using a Novel Simulation Approach. - Bita Shams, Saman Haratizadeh:
IteRank: An iterative network-oriented approach to neighbor-based collaborative ranking. - Hiroki Morizumi:
Some Results on the Power of Nondeterministic Computation. - Georgia Avarikioti, Roman Brunner, Aggelos Kiayias, Roger Wattenhofer, Dionysis Zindros:
Structure and Content of the Visible Darknet. - Albert Atserias, Tuomas Hakoniemi:
Size-Degree Trade-Offs for Sums-of-Squares and Positivstellensatz Proofs. - Nadine Rons:
Testing Reviewer Suggestions Derived from Bibliometric Specialty Approximations in Real Research Evaluations. - Sergey Tridenski, Ram Zamir:
Channel input adaptation via natural type selection. - Amrith Rajagopal Setlur:
Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection. - Zati Bayani Zawawi, Yang Huang, Bruno Clerckx:
Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design and SINR-Energy Tradeoff. - Jing Zhou, Wenyi Zhang:
Bounds on Capacity Region of Optical Intensity Multiple Access Channel. - A. Chakravarty, Johan H. Mentink, C. S. Davies, K. Yamada, A. V. Kimel, Th. Rasing:
Supervised learning of an opto-magnetic neural network with ultrashort laser pulses. - Kohki Mametani, Tsuneo Kato, Seiichi Yamamoto:
Investigating context features hidden in End-to-End TTS. - Kai Hu, Zhijian Ou, Min Hu, Junlan Feng:
Neural CRF transducers for sequence labeling. - Daniel Omeiza, Jemima Owusu-Tweneboah:
Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal. - Surafel Melaku Lakew, Quintino F. Lotito, Matteo Negri, Marco Turchi, Marcello Federico:
Improving Zero-Shot Translation of Low-Resource Languages. - Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose, Abhirup Das, Partha Pratim Roy:
Query-based Logo Segmentation. - Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy:
Handwriting Recognition in Low-resource Scripts using Adversarial Learning. - Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan:
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. - Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy:
Texture Synthesis Guided Deep Hashing for Texture Image Retrieval. - Rory Smith, Tilo Burghardt:
DeepKey: Towards End-to-End Physical Key Replication From a Single Photograph. - Mehwish Alam, Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero:
Semantic Role Labeling for Knowledge Graph Extraction from Text. - Subhra Mazumdar, Sushmita Ruj:
Design of Anonymous Endorsement System in Hyperledger Fabric. - Martin Becker, Samarjit Chakraborty:
Measuring Software Performance on Linux. - Xu Liu, Steven W. Chen, Chenhao Liu, Shreyas S. Shivakumar, Jnaneshwar Das, Camillo J. Taylor, James Patrick Underwood, Vijay Kumar:
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association. - Dan Alistarh, James Aspnes, Faith Ellen, Rati Gelashvili, Leqi Zhu:
Why Extension-Based Proofs Fail. - Gorkem Polat, Ugur Halici, Yesim Serinagaoglu Dogrusoz:
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks. - Hadley Black, Deeparnab Chakrabarty, C. Seshadhri:
Domain Reduction for Monotonicity Testing: A o(d) Tester for Boolean Functions on Hypergrids. - Shifa Zhang, Anne Kim, Dianbo Liu, Sandeep C. Nuckchadyy, Lauren Huang, Aditya Masurkar, Jingwei Zhang, Lawrence Tseng, Pratheek Karnati, Laura Martínez, Thomas Hardjono, Manolis Kellis, ZhiZhuo Zhang:
Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data. - Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. - Brent D. Mittelstadt, Chris Russell, Sandra Wachter:
Explaining Explanations in AI. - Zhao Song, David P. Woodruff, Peilin Zhong:
Towards a Zero-One Law for Entrywise Low Rank Approximation. - Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. - Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. - Abigail Z. Jacobs:
Assembly in populations of social networks. - Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah:
Fashionable Modelling with Flux. - Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling:
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. - Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. - Virginia Tsintzou, Evaggelia Pitoura, Panayiotis Tsaparas:
Bias Disparity in Recommendation Systems. - Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. - Ke Sun:
Intrinsic Universal Measurements of Non-linear Embeddings. - Francesco Ferrante, Frédéric Gouaisbaut, Ricardo G. Sanfelice, Sophie Tarbouriech:
L2 State Estimation with Guaranteed Convergence Speed in the Presence of Sporadic Measurements. - Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Practical Batch Bayesian Optimization for Less Expensive Functions. - Michelle Edwards, Lewis Mitchell, Jonathan Tuke, Matthew Roughan:
The one comparing narrative social network extraction techniques. - Najmeh Sadoughi, Greg P. Finley, James Fone, Vignesh Murali, Maxim Korenevsky, Slava Baryshnikov, Nico Axtmann, Mark Miller, David Suendermann-Oeft:
Medical code prediction with multi-view convolution and description-regularized label-dependent attention. - Kensuke Sakai, Tatsuya Ohno, Keisuke Goto, Yoshimasa Takabatake, Tomohiro I, Hiroshi Sakamoto:
RePair in Compressed Space and Time. - Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn:
Fast Face Image Synthesis with Minimal Training. - Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. - Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li:
FairMod - Making Predictive Models Discrimination Aware. - Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee:
Contingency-Aware Exploration in Reinforcement Learning. - Jack Collins, David Howard, Jürgen Leitner:
Quantifying the Reality Gap in Robotic Manipulation Tasks. - Sviatoslav Covanov, Davood Mohajerani, Marc Moreno Maza, Lin-Xiao Wang:
Putting Fürer Algorithm into Practice with the BPAS Library. - Wenwei Xu, Shari Matzner:
Underwater Fish Detection using Deep Learning for Water Power Applications. - Hanqing Guo, Nan Zhang, Saeed AlQarni, Shaoen Wu:
DSIC: Deep Learning based Self-Interference Cancellation for In-Band Full Duplex Wireless. - Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. - Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Deep Multiple Description Coding by Learning Scalar Quantization. - Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz:
An Efficient Network for Predicting Time-Varying Distributions. - Rui-Juan Jing, Marc Moreno Maza, Delaram Talaashrafi:
Complexity Estimates for Fourier-Motzkin Elimination. - Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
SLAMBooster: An Application-aware Controller for Approximation in SLAM. - Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung:
Unsupervised RGBD Video Object Segmentation Using GANs. - Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis:
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information. - Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung:
Workload-aware Automatic Parallelization for Multi-GPU DNN Training. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for time series classification. - Rüdiger Göbl, Diana Mateus, Christoph Hennersperger, Maximilian Baust, Nassir Navab:
Redefining Ultrasound Compounding: Computational Sonography. - Claire Mathieu, Simon Mauras:
How to aggregate Top-lists: Score based approximation schemes. - Bingli Jiao, Yuli Yang, Mingxi Yin:
Cocktail BPSK: Energy Reused Scheme for High Achievable Data Rates. - Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut T. Kandemir, Myoungsoo Jung:
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources. - Ping Guo, Xiuling Zhou, Ke Wang:
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks. - Yijun Yuan, Sören Schwertfeger:
Incrementally Building Topology Graphs via Distance Maps. - Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. - Panagiotis Charalampopoulos, Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Almost Optimal Distance Oracles for Planar Graphs. - Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh:
Representation Learning by Reconstructing Neighborhoods. - Qianxiao Li, Cheng Tai, Weinan E:
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations. - Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell:
Parallel training of linear models without compromising convergence. - Xinbang Zhang, Zehao Huang, Naiyan Wang:
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization. - Mohsen Yavartanoo, Euyoung Kim, Kyoung Mu Lee:
SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection. - Mokshi Goyal, Madhu Raka:
Polyadic cyclic codes over a non-chain ring $\mathbb{F}_{q}[u, v]/\langle f(u), g(v), uv-vu\rangle$. - Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee, Pascal Frossard:
Supervised Linear Regression for Graph Learning from Graph Signals. - Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization. - Andreas Achen:
Putting the Agents back in the Domain: A Two-Sorted Term-Modal Logic. - Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu:
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. - Nikhil Bansal:
On a generalization of iterated and randomized rounding. - Michal Neoral, Jan Sochman, Jiri Matas:
Continual Occlusions and Optical Flow Estimation. - Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo:
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion. - Yongkyu Cho, Young Myoung Ko:
Stabilizing the virtual response time in single-server processor sharing queues with slowly time-varying arrival rates. - Djamel Djenouri, Roufaida Laidi, Cherif Zizoua:
Electrical Energy Consumption Control in Buildings Using Wireless Sensor Networks. - Rateb Jabbar, Khalifa Al-Khalifa, Mohamed Kharbeche, Wael K. M. Alhajyaseen, Mohsen A. Jafari, Shan Jiang:
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques. - Mauro Barni, Kassem Kallas, Ehsan Nowroozi, Benedetta Tondi:
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics. - Pasin Manurangsi, Warut Suksompong:
When Do Envy-Free Allocations Exist? - Yong Niu, Yu Liu, Yong Li, Zhangdui Zhong, Bo Ai, Pan Hui:
Mobility-aware Caching Scheduling for Fog Computing in mmWave Band. - Giovanni Abramo:
Bibliometric evaluation of research performance: where do we stand? - Giovanni Abramo:
Revisiting the scientometric conceptualization of impact and its measurement. - João C. S. Freitas, Rafael Barbastefano, Diego Carvalho:
Identifying influential patents in citation networks using enhanced VoteRank centrality. - Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki:
Leveraging Random Label Memorization for Unsupervised Pre-Training. - Alkida Balliu, Juho Hirvonen, Dennis Olivetti, Jukka Suomela:
Hardness of minimal symmetry breaking in distributed computing. - Nils Donselaar:
Probabilistic Parameterized Polynomial Time. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Revisiting size effects in higher education research productivity. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
A sensitivity analysis of researchers' productivity rankings to the time of citation observation. - Samaneh Jozashoori, Tatiana Novikova, Maria-Esther Vidal:
Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale. - Pedro J. Villasana T., Stanislaw Gorlow:
Exact multiplicative updates for convolutional β-NMF in 2D. - Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis:
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. - Yongzhe Zhang, Zhenjiang Hu:
Composing Optimization Techniques for Vertex-Centric Graph Processing via Communication Channels. - Claire Maïza, Valentin Touzeau, David Monniaux, Jan Reineke:
Fast and exact analysis for LRU caches. - Alkida Balliu, Sebastian Brandt, Yi-Jun Chang, Dennis Olivetti, Mikaël Rabie, Jukka Suomela:
The distributed complexity of locally checkable problems on paths is decidable. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems. - Yacine Ouzrout, Matteo Mario Savino, Abdelaziz Bouras, Carlo Di Domenico:
Supply Chain Management analysis: a simulation approach of the Value Chain Operations Reference model (VCOR). - Arash Khoeini, Bita Shams, Saman Haratizadeh:
GEMRank: Global Entity Embedding For Collaborative Filtering. - Gilles Neubert, Yacine Ouzrout, Abdelaziz Bouras:
Collaboration and integration through information technologies in supply chains. - Takaaki Hori, Ramón Fernandez Astudillo, Tomoki Hayashi, Yu Zhang, Shinji Watanabe, Jonathan Le Roux:
Cycle-consistency training for end-to-end speech recognition. - Carmine Dodaro, Francesco Ricca:
The External Interface for Extending WASP. - Wei Shi, Vera Demberg:
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
A sensitivity analysis of research institutions' productivity rankings to the time of citation observation. - Junjie Zeng, Long Qin, Yue Hu, Cong Hu, Quanjun Yin:
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder. - Ahsan Adeel:
Role of Awareness and Universal Context in a Spiking Conscious Neural Network (SCNN): A New Perspective and Future Directions. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
National research assessment exercises: a comparison of peer review and bibliometrics rankings. - Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh:
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Assessing the varying level of impact measurement accuracy as a function of the citation window length. - Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar:
Weakly Supervised Grammatical Error Correction using Iterative Decoding. - Marcel Jackson, Szabolcs Mikulás:
Domain and range for angelic and demonic compositions. - Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. - Siwei Wang, Longbo Huang:
Multi-armed Bandits with Compensation. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
A field-standardized application of DEA to national-scale research assessment of universities. - Migran N. Gevorkyan, Anastasiya V. Demidova, Anna V. Korolkova, Dmitry S. Kulyabov:
Issues in the software implementation of stochastic numerical Runge-Kutta. - Jeff Johnson:
Rethinking floating point for deep learning. - Ronghui You, Suyang Dai, Zihan Zhang, Hiroshi Mamitsuka, Shanfeng Zhu:
AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Research productivity: are higher academic ranks more productive than lower ones? - Radu Tudor Ionescu, Andrei M. Butnaru:
Transductive Learning with String Kernels for Cross-Domain Text Classification. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
The field-standardized average impact of national research systems compared to world average: the case of Italy. - David Monniaux, Valentin Touzeau:
On the complexity of cache analysis for different replacement policies. - Lisheng Wu, Minne Li, Jun Wang:
Learning Shared Dynamics with Meta-World Models. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On Meta-Learning for Dynamic Ensemble Selection. - Tachporn Sanguanpuak, Nandana Rajatheva, Dusit Niyato, Matti Latva-aho:
Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G. - Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield:
Unique Information and Secret Key Agreement. - Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. - David Vigouroux, Sylvain Picard:
FUNN: Flexible Unsupervised Neural Network. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
National research assessment exercises: the effects of changing the rules of the game during the game. - Achim Schilling, Jonas Rietsch, Richard Gerum, Holger Schulze, Claus Metzner, Patrick Krauss:
How deep is deep enough? - Optimizing deep neural network architecture. - Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Decoding Generic Visual Representations From Human Brain Activity using Machine Learning. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
University-industry research collaboration: a model to assess university capability. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Evaluating research: from informed peer review to bibliometrics. - Isabella Pozzi, Sander M. Bohté, Pieter R. Roelfsema:
A Biologically Plausible Learning Rule for Deep Learning in the Brain. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
The dangers of performance-based research funding in non-competitive higher education systems. - Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil:
Reliable Broadcast in Dynamic Networks with Locally Bounded Byzantine Failures. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A national-scale cross-time analysis of university research performance. - Mario Gleirscher, Sven Linker, Stefan Kugele:
SCAV'18: Report of the 2nd International Workshop on Safe Control of Autonomous Vehicles. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi:
The relationship between scientists' research performance and the degree of internationalization of their research. - Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz:
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. - Steven F. Hoover, Ahmed Salman:
Top-Down Transaction-Level Design with TL-Verilog. - Michael Filhol:
A human-editable Sign Language representation for software editing - and a writing system? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa, Marco Solazzi:
The role of information asymmetry in the market for university-industry research collaboration. - Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
National-scale research performance assessment at the individual level. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi:
Are researchers that collaborate more at the international level top performers? An investigation on the Italian university system. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
Peer review research assessment: a sensitivity analysis of performance rankings to the share of research product evaluated. - Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Citations versus journal impact factor as proxy of quality: Could the latter ever be preferable? - Md Mahfuzul Haque, Mohammad Yousuf, Zahedur Arman, Md Main Uddin Rony, Ahmed Shatil Alam, Kazi Mehedi Hasan, Md Khadimul Islam, Naeemul Hassan:
Fact-checking Initiatives in Bangladesh, India, and Nepal: A Study of User Engagement and Challenges. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi:
National research assessment exercises: a measure of the distortion of performance rankings when labor input is treated as uniform. - Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
A robust benchmark for the h- and g-indexes. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi:
Assessing public-private research collaboration: is it possible to compare university performance? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Testing the trade-off between productivity and quality in research activities. - Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant:
Log-Concave Polynomials II: High-Dimensional Walks and an FPRAS for Counting Bases of a Matroid. - Sara Mandelli, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro:
Facing Device Attribution Problem for Stabilized Video Sequences. - Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt:
Structured Neural Summarization. - Radoslav Ivanov, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verisig: verifying safety properties of hybrid systems with neural network controllers. - Guofu Li, Pengjia Zhu, Zhiyi Chen:
Accelerating System Log Processing by Semi-supervised Learning: A Technical Report. - Micha Livne, David J. Fleet:
TzK Flow - Conditional Generative Model. - Marius Jahrens, Thomas Martinetz:
Multi-layer Relation Networks. - Mirela Damian, Robin Y. Flatland:
Unfolding Orthotrees with Constant Refinement. - (Withdrawn) Deep Genetic Network.
- Cong Feng, Jie Zhang:
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. - Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch:
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. - Olga Slizovskaia, Leo Kim, Gloria Haro, Emilia Gómez:
End-to-End Sound Source Separation Conditioned On Instrument Labels. - Sameer Dhoju, Md Main Uddin Rony, Naeemul Hassan:
Differences between Health Related News Articles from Reliable and Unreliable Media. - Richard Futrell, Roger P. Levy:
Do RNNs learn human-like abstract word order preferences? - Ainesh Bakshi, Rajesh Jayaram, David P. Woodruff:
Learning Two Layer Rectified Neural Networks in Polynomial Time. - Bartlomiej Blaszczyszyn, Paul Mühlethaler:
Analyzing LoRa long-range, low-power, wide-area networks using stochastic geometry. - Joachim Draeger, Stephanie Öttl:
Malware Epidemics Effects in a Lanchester Conflict Model. - Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. - Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi:
Deriving item features relevance from collaborative domain knowledge. - Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang:
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. - David Cortes:
Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations. - Edward Collins, Nikolai Rozanov, Bingbing Zhang:
Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks. - Charles Jeon, Ramina Ghods, Arian Maleki, Christoph Studer:
Optimal Data Detection in Large MIMO. - Filipe Falcão, Caio Barbosa, Baldoino Fonseca, Alessandro Garcia, Márcio Ribeiro, França Sales:
On Relating Technical, Social Factors, and the Introduction of Bugs. - Mahathi Bhargavapuri, Soumya Ranjan Sahoo, Mangal Kothari:
Global Attitude Stabilization using Pseudo-Targets. - Robin van Emden, Maurits Kaptein:
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R. - Sayed Chhattan Shah:
Mobile Edge Cloud: Opportunities and Challenges. - Sophie van der Zee, Ronald Poppe, Alice Havrileck, Aurélien Baillon:
A personal model of trumpery: Deception detection in a real-world high-stakes setting. - Yehia Abd Alrahman, Hugo Torres Vieira:
Operation Control Protocols in Power Distribution Grids. - Michel Gevers, Alexandre Sanfelice Bazanella, Gian Vianna da Silva:
A practical method for the consistent identification of a module in a dynamical network. - Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II:
Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. - Fotios Logothetis, Roberto Mecca, Roberto Cipolla:
A Differential Volumetric Approach to Multi-View Photometric Stereo. - Joern Wuebker, Patrick Simianer, John DeNero:
Compact Personalized Models for Neural Machine Translation. - Keren Censor-Hillel, Ami Paz, Noam Ravid:
The Sparsest Additive Spanner via Multiple Weighted BFS Trees. - Mohamed Baza, Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud, Erchin Serpedin, Mohammad Ashiqur Rahman:
Blockchain-based Privacy-Preserving Charging Coordination Mechanism for Energy Storage Units. - Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. - Rob Sumners:
A Toolbox For Property Checking From Simulation Using Incremental SAT (Extended Abstract). - Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency. - Sepehr Assadi, Aaron Bernstein:
Towards a Unified Theory of Sparsification for Matching Problems. - Oindrila Chatterjee, Shantanu Chakrabartty:
A Unified Perspective of Evolutionary Game Dynamics Using Generalized Growth Transforms. - Meghna G. Mankalale, Zhengyang Zhao, Jianping Wang, Sachin S. Sapatnekar:
SkyLogic - A proposal for a skyrmion logic device. - Taco Cohen, Mario Geiger, Maurice Weiler:
A General Theory of Equivariant CNNs on Homogeneous Spaces. - Matteo Marra, Guillermo Polito, Elisa Gonzalez Boix:
Out-Of-Place debugging: a debugging architecture to reduce debugging interference. - John Aycock, Tara Copplestone:
Entombed: An archaeological examination of an Atari 2600 game. - Robert E. Kent:
Conceptua: Institutions in a Topos. - Timon E. Knigge, Rob H. Bisseling:
An improved exact algorithm and an NP-completeness proof for sparse matrix bipartitioning. - Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization using a Roadmap Framework. - Yilei Shi, Xiao Xiang Zhu, Richard Bamler:
Non-Local Compressive Sensing Based SAR Tomography. - Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu:
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation. - C. P. Andriotis, K. G. Papakonstantinou:
Managing engineering systems with large state and action spaces through deep reinforcement learning. - Hossein Khoshnevis, Ian D. Marsland, Halim Yanikomeroglu:
Throughput-based Design for Polar Coded-Modulation. - Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan:
Model Extraction and Active Learning. - Seongjun Hahm, Iroro Orife, Shane Walker, Jason Flaks:
The Marchex 2018 English Conversational Telephone Speech Recognition System. - Yi Lu, Xiangyao Yu, Samuel Madden:
STAR: Scaling Transactions through Asymmetric Replication. - Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
A Recurrent Graph Neural Network for Multi-Relational Data. - Xuankai Chang, Yanmin Qian, Kai Yu, Shinji Watanabe:
End-to-End Monaural Multi-speaker ASR System without Pretraining. - Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. - Christopher Snyder, Sriram Vishwanath:
Generalization Bounds for Neural Networks: Kernels, Symmetry, and Sample Compression. - Yuqi Zhou, Jorge Cisneros-Saldana, Le Xie:
False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis. - Mohamed A. Suliman, Wei Dai:
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee. - Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao:
QUOTA: The Quantile Option Architecture for Reinforcement Learning. - Fengxiang Yang, Zhun Zhong, Zhiming Luo, Sheng Lian, Shaozi Li:
Leveraging Virtual and Real Person for Unsupervised Person Re-identification. - Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova:
Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Huacheng Yu:
Optimal Succinct Rank Data Structure via Approximate Nonnegative Tensor Decomposition. - Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. - Pan Li, Gregory J. Puleo, Olgica Milenkovic:
Motif and Hypergraph Correlation Clustering. - Ahmed Mostayed, Junye Luo, Xingliang Shu, William Wee:
Classification of 12-Lead ECG Signals with Bi-directional LSTM Network. - Like Hui, Siyuan Ma, Mikhail Belkin:
Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement. - Yu Li, Hu Wang, Xinjian Deng:
Image-Based Reconstruction for a 3D-PFHS Heat Transfer Problem by ReConNN. - German Ignacio Parisi, Xu Ji, Stefan Wermter:
On the role of neurogenesis in overcoming catastrophic forgetting. - (Withdrawn) Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism.
- Xuesu Xiao, Jan Dufek, Mohamed Suhail, Robin R. Murphy:
Motion Planning for a UAV with a Straight or Kinked Tether. - Robbi Rahim, Andri Pranolo, Ronal Hadi, Rasyidah, Heri Nurdiyanto, Darmawan Napitupulu, Ansari Saleh Ahmar, Leon Andretti Abdillah, Dahlan Abdullah:
Digital Signature Security in Data Communication. - Younggun Lee, Taesu Kim:
Robust and fine-grained prosody control of end-to-end speech synthesis. - (Withdrawn) Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory.
- Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures. - Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo:
Student's t-Generative Adversarial Networks. - Naoki Kobayashi, Ugo Dal Lago, Charles Grellois:
On the Termination Problem for Probabilistic Higher-Order Recursive Programs. - Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe:
Transfer learning of language-independent end-to-end ASR with language model fusion. - Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner:
Extended Isolation Forest. - Li Tang, Konstantinos Konstantinidis, Aditya Ramamoorthy:
Erasure coding for distributed matrix multiplication for matrices with bounded entries. - Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha:
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. - Haifeng Li, Jinming Wen:
A New Analysis for Support Recovery with Block Orthogonal Matching Pursuit. - Sungwon Kim, Sang-gil Lee, Jongyoon Song, Sungroh Yoon:
FloWaveNet : A Generative Flow for Raw Audio. - Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? - Aaron Springer, Steve Whittaker:
"I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency. - Aaron Springer, Steve Whittaker:
Progressive Disclosure: Designing for Effective Transparency. - Sameer Qazi, Syed Muhammad Atif, Muhammad Bilal Kadri:
A Novel Compressed Sensing Technique for Traffic Matrix Estimation of Software Defined Cloud Networks. - Shun Zheng, Peilin Yu, Lu Chen, Ling Huang, Wei Xu:
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction. - Sandip Roy:
Comments Regarding 'On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'. - Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou:
Neural Phrase-to-Phrase Machine Translation. - Yuval Dagan, Yuval Filmus, Daniel Kane, Shay Moran:
The entropy of lies: playing twenty questions with a liar. - Feifan Xu, Fei He, Enze Xie, Liang Li:
Fast OBDD Reordering using Neural Message Passing on Hypergraph. - Geon-min Kim, Hwaran Lee, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee:
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition. - Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg:
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. - Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim:
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators. - Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. - Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. - Ali Cheraghian, Lars Petersson:
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. - Fei Yang, Qian Zhang, Chi Zheng, Guoping Qiu:
In-the-wild Facial Expression Recognition in Extreme Poses. - Utkarsh Porwal, Smruthi Mukund:
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach. - Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Collaborative Filtering with Stability. - Chenwei Wang, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos, Giuseppe Caire:
On-the-fly Large-scale Channel-Gain Estimation for Massive Antenna-Array Base Stations. - Zekun Zhang, Chenwei Wang, Haralabos C. Papadopoulos:
On-the-fly Uplink Training and Pilot Code Sequence Design for Cellular Networks. - Qiangqiang Wu, Yan Yan, Yanjie Liang, Yi Liu, Hanzi Wang:
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking. - Wen Kokke, Fabrizio Montesi, Marco Peressotti:
Better Late Than Never: A Fully Abstract Semantics for Classical Processes. - Wieslaw Kopec, Marcin Skibinski, Cezary Biele, Kinga Skorupska, Dominika Tkaczyk, Anna Jaskulska, Katarzyna Abramczuk, Piotr Gago, Krzysztof Marasek:
Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots. - Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet, Laurence Rozé:
Day-ahead time series forecasting: application to capacity planning. - Dmitry Yu. Maximov:
An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic. - Yingying Zhao, Dongsheng Li, Qin Lv, Li Shang:
A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation. - Zhuochen Jin, Jingshun Yang, Shuyuan Cui, David Gotz, Jimeng Sun, Nan Cao:
CarePre: An Intelligent Clinical Decision Assistance System. - Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He:
Kernel Exponential Family Estimation via Doubly Dual Embedding. - Heike Adel, Hinrich Schütze:
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. - Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning. - Maxime Bucher, Stéphane Herbin, Frédéric Jurie:
Semantic bottleneck for computer vision tasks. - Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: a few pixels make a big difference. - Mikhail Vilgelm, Sergio Rueda Liñares, Wolfgang Kellerer:
On the Resource Consumption of M2M Random Access: Efficiency and Pareto Optimality. - Oleksiy Kurganskyy, Igor Potapov:
De Bruijn graphs and powers of 3/2. - Frank Gurski, Carolin Rehs, Jochen Rethmann:
Characterizations and Directed Path-Width of Sequence Digraphs. - Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell:
NIPS4Bplus: a richly annotated birdsong audio dataset. - Ahsan Manzoor, Madhusanka Liyanage, An Braeken, Salil S. Kanhere, Mika Ylianttila:
Blockchain based Proxy Re-Encryption Scheme for Secure IoT Data Sharing. - Chris Hokamp, Sebastian Ruder, John Glover:
Off-the-Shelf Unsupervised NMT. - Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar:
Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. - Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. - (Withdrawn) Infrared and visible image fusion using a novel deep decomposition method.
- Mohsin Khan, Philip Ginzboorg, Kimmo Järvinen, Valtteri Niemi:
Defeating the Downgrade Attack on Identity Privacy in 5G. - Simon Colin, Rodolphe Lepigre, Gabriel Scherer:
Unboxing Mutually Recursive Type Definitions in OCaml. - Kunal Sanjay Narkhede, Aashay Anil Bhise, Sainul Islam Ansary, Sankha Deb:
A Backstepping control strategy for constrained tendon driven robotic finger. - Pan Hu, Boris Motik, Ian Horrocks:
Modular Materialisation of Datalog Programs. - Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko:
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. - Ruturaj G. Gavaskar, Kunal N. Chaudhury:
Fast Adaptive Bilateral Filtering. - Ali Reihanian, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi:
An Enhanced Multi-Objective Biogeography-Based Optimization Algorithm for Automatic Detection of Overlapping Communities in a Social Network with Node Attributes. - Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu:
Recurrent Skipping Networks for Entity Alignment. - (Withdrawn) Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates.
- Yixiao Qu, Sihao Xue, Zhenyi Ying, Hang Zhou, Jue Sun:
Hierarchical Neural Network Architecture In Keyword Spotting. - Michael Kaufmann, Thomas P. Parnell, Kornilios Kourtis:
Elastic CoCoA: Scaling In to Improve Convergence. - Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. - Emmanouil Fountoulakis, Qi Liao, Manuel Stein, Nikolaos Pappas:
Traversing Virtual Network Functions from the Edge to the Core: An End-to-End Performance Analysis. - Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. - Nesrine Ben Khalifa, Mohamad Assaad, Mérouane Debbah:
Risk-Sensitive Reinforcement Learning for URLLC Traffic in Wireless Networks. - Yali Chen, Bo Ai, Yong Niu, Ke Guan, Zhu Han:
Resource Allocation for Device-to-Device Communications Underlaying Heterogeneous Cellular Networks Using Coalitional Games. - Andrew Chi-Chih Yao:
An Incentive Analysis of some Bitcoin Fee Designs. - Ching-Ting Chang, Shun-Po Chuang, Hung-yi Lee:
Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation. - Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou:
Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering. - Chongyang Wang, Min Peng, Tao Bi, Tong Chen:
Micro-Attention for Micro-Expression recognition. - Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi:
Kalman Filter Modifier for Neural Networks in Non-stationary Environments. - Pravin Nair, Kunal Narayan Chaudhury:
Fast High-Dimensional Bilateral and Nonlocal Means Filtering. - Zhuosheng Zhang, Hai Zhao, Kangwei Ling, Jiangtong Li, Zuchao Li, Shexia He:
Effective Subword Segmentation for Text Comprehension. - Antonio Lieto, Gian Luca Pozzato:
A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics. - Christian Sieber, Susanna Schwarzmann, Andreas Blenk, Thomas Zinner, Wolfgang Kellerer:
Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-host Pacing. - Eric K. Tokuda, Cláudio T. Silva, Roberto M. Cesar Jr.:
Identificação automática de pichação a partir de imagens urbanas. - Vasily Morzhakov:
Sets of autoencoders with shared latent spaces. - Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. - Aniket Bhatnagar, Sanchit Aggarwal:
Fine-grained Apparel Classification and Retrieval without rich annotations. - Xuan Guang, Raymond W. Yeung, Fang-Wei Fu:
Local-Encoding-Preserving Secure Network Coding - Part I: Fixed Security Level. - Xuan Guang, Raymond W. Yeung, Fang-Wei Fu:
Local-Encoding-Preserving Secure Network Coding - Part II: Flexible Rate and Security Level. - Nils Schwinning, Michael Striewe, Till Massing, Christoph Hanck, Michael Goedicke:
Towards digitalisation of summative and formative assessments in academic teaching of statistics. - Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. - Paramanand Chandramouli, Samuel Burri, Claudio Bruschini, Edoardo Charbon, Andreas Kolb:
A 'Little Bit' Too Much? High Speed Imaging from Sparse Photon Counts. - Radu Iosif, Xiao Xu:
First Order Alternation. - Alexander P. Kryukov, Andrey Demichev:
Architecture of Distributed Data Storage for Astroparticle Physics. - António Ramires, Rui Penha, Matthew E. P. Davies:
User Specific Adaptation in Automatic Transcription of Vocalised Percussion. - António Ramires, Diogo Cocharro, Matthew E. P. Davies:
An audio-only method for advertisement detection in broadcast television content. - Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. - Elena Farahbakhsh Touli, Yusu Wang:
FPT-algorithms for computing Gromov-Hausdorff and interleaving distances between trees. - Matias Martinez, Thomas Durieux, Romain Sommerard, Jifeng Xuan, Martin Monperrus:
Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset. - Advaith Siddharthan, Nicolas Cherbuin, Paul J. Eslinger, Kasia Kozlowska, Nora A. Murphy, Leroy Lowe:
WordNet-feelings: A linguistic categorisation of human feelings. - Max S. New, Daniel R. Licata, Amal Ahmed:
Gradual Type Theory (Extended Version). - Konpal Shaukat Ali, Hesham ElSawy, Mohamed-Slim Alouini:
Meta Distribution of Downlink Non-Orthogonal Multiple Access (NOMA) in Poisson Networks. - Pavel Naumov, Jia Tao:
Blameworthiness in Games with Imperfect Information. - Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
Multi-Level Sensor Fusion with Deep Learning. - Chen Lin, Zhao Zhong, Wei Wu, Junjie Yan:
Synaptic Strength For Convolutional Neural Network. - Luis Evaristo Caraballo, José Miguel Díaz-Báñez, Ruy Fabila Monroy, Carlos Hidalgo-Toscano, Jesús Leaños, Amanda Montejano:
On the Number of Order Types in Integer Grids of Small Size. - Robert Frank Martorano III:
Semantic Term "Blurring" and Stochastic "Barcoding" for Improved Unsupervised Text Classification. - Jarno Alanko, Travis Gagie, Gonzalo Navarro, Louisa Seelbach Benkner:
Tunneling on Wheeler Graphs. - Gennaro Notomista, Magnus Egerstedt:
Constraint-Driven Coordinated Control of Multi-Robot Systems. - Marc Rußwurm, Marco Körner:
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery. - Hemant Gehlot, Satish V. Ukkusuri:
User equilibrium with a policy-based link transmission model for stochastic time-dependent traffic networks. - Wenbo Li, Longyin Wen, Xiao Bian, Siwei Lyu:
Evolvement Constrained Adversarial Learning for Video Style Transfer. - Giovanni Morrone, Luca Pasa, Vadim Tikhanoff, Sonia Bergamaschi, Luciano Fadiga, Leonardo Badino:
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments. - Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. - Igor Mordatch:
Concept Learning with Energy-Based Models. - Iqbal H. Sarker:
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications. - Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas:
Towards continual learning in medical imaging. - Viet Hung Tran:
Variational Bayes Inference in Digital Receivers. - Jonathan Le Roux, Scott Wisdom, Hakan Erdogan, John R. Hershey:
SDR - half-baked or well done? - Miquel Esplà-Gomis, Felipe Sánchez-Martínez, Mikel L. Forcada:
UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networks. - Lívia Ruback, Claudio Lucchese, Alexander Arturo Mera Caraballo, Grettel Monteagudo García, Marco Antonio Casanova, Chiara Renso:
Computing Entity Semantic Similarity by Features Ranking. - Rajaditya Mukherjee, Qingyang Li, Zhili Chen, Shicheng Chu, Huamin Wang:
NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids. - Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti:
Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results. - Ran Gelles, Siddharth Iyer:
Interactive coding resilient to an unknown number of erasures. - Remi Francis, Tom Ash, Will Williams:
Discriminative training of RNNLMs with the average word error criterion. - Ross Horne:
A Bisimilarity Congruence for the Applied pi-Calculus Sufficiently Coarse to Verify Privacy Properties. - Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Composability of Regret Minimizers. - Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, Yong Jae Lee:
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. - Paul Yaworsky:
A Model for General Intelligence. - Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin:
Language GANs Falling Short. - Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? - Jun Guo, Philipp Walk, Hamid Jafarkhani:
Quantizers with Parameterized Distortion Measures. - Manash Pratim Das, Zhen Dong, Sebastian A. Scherer:
Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality. - Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. - Dallas Card, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. - Sina Ghiassian, Andrew Patterson, Martha White, Richard S. Sutton, Adam White:
Online Off-policy Prediction. - Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou:
Training Generative Adversarial Networks with Weights. - Kaveh Khoshkhah, Mehdi Khosravian Ghadikolaei, Jérôme Monnot, Florian Sikora:
Weighted Upper Edge Cover: Complexity and Approximability. - Sufeng Duan, Jiangtong Li, Hai Zhao:
Fast Neural Chinese Word Segmentation for Long Sentences. - Laurent Valentin Jospin, Gilles Baechler, Adam Scholefield:
Embedded polarizing filters to separate diffuse and specular reflection. - Luzi Sennhauser, Robert C. Berwick:
Evaluating the Ability of LSTMs to Learn Context-Free Grammars. - Iqbal H. Sarker:
Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications. - Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar:
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement. - Kieran Greer:
An Experiment with Bands and Dimensions in Classifiers. - Yaqi Duan, Zheng Tracy Ke, Mengdi Wang:
State Aggregation Learning from Markov Transition Data. - Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana:
MixTrain: Scalable Training of Formally Robust Neural Networks. - Jérémie Dumas, Jonàs Martínez, Sylvain Lefebvre, Li-Yi Wei:
Printable Aggregate Elements. - Yue Zhang, Bin Song, Xiaojiang Du, Mohsen Guizani:
Vehicle Tracking Using Surveillance with Multimodal Data Fusion. - Dong Yul Oh, Il Dong Yun:
Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks. - Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Qiuwen Lou, Chenyun Pan, John McGuinness, András Horváth, Azad Naeemi, Michael T. Niemier, Xiaobo Sharon Hu:
A mixed signal architecture for convolutional neural networks. - Maria Gorlatova, Hazer Inaltekin, Mung Chiang:
Characterizing Task Completion Latencies in Fog Computing. - Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Demystifying Neural Network Filter Pruning. - Matthew Maciejewski, Gregory Sell, Leibny Paola García-Perera, Shinji Watanabe, Sanjeev Khudanpur:
Building Corpora for Single-Channel Speech Separation Across Multiple Domains. - Aman Rana, Gregory Yauney, Alarice Lowe, Pratik Shah:
Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks. - Fuxun Yu, Zhuwei Qin, Xiang Chen:
Distilling Critical Paths in Convolutional Neural Networks. - Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. - Jian Li:
Visual Attention is Beyond One Single Saliency Map. - Emre Egriboz, Furkan Kaynar, Songül Varli Albayrak, Benan Müsellim, Tuba Selçuk:
Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning. - Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran:
OverSketch: Approximate Matrix Multiplication for the Cloud. - Ryan Sherman:
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation. - Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing. - Nhat Ho, Tan M. Nguyen, Ankit B. Patel, Anima Anandkumar, Michael I. Jordan, Richard G. Baraniuk:
Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning. - Yujia Wang, David J. Miller, George Kesidis:
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers. - Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah:
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients. - Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. - Randi Wang, Vadim Shapiro:
Topological Semantics for Lumped Parameter Systems Modeling. - Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa:
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. - Hanadi El Achi, Tatiana Belousova, Lei Chen, Amer Wahed, Iris Wang, Zhihong Hu, Zeyad Kanaan, Adan Rios, Andy N. D. Nguyen:
Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning. - Yi Su, Lequn Wang, Michele Santacatterina, Thorsten Joachims:
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning. - Indranil Banerjee, Dana Richards:
The Set-Maxima Problem in a Geometric Setting. - Xu Kang, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani:
Attention-Mechanism-based Tracking Method for Intelligent Internet of Vehicles. - Robert Krauthgamer, James R. Lee, Havana Rika:
Flow-Cut Gaps and Face Covers in Planar Graphs. - Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. - Kentaro Yoshioka, Edward Lee, Mark Horowitz:
Training Domain Specific Models for Energy-Efficient Object Detection. - Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
Evaluating Methods for End-User Creation of Robot Task Plans. - Jacob Rafati, Roummel F. Marcia:
Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games. - Ran Wang, Yao Wang, Adeen Flinker:
Reconstructing Speech Stimuli From Human Auditory Cortex Activity Using a WaveNet Approach. - Shangtong Zhang, Hao Chen, Hengshuai Yao:
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. - Martha Lewis, Bob Coecke, Jules Hedges, Dimitri Kartsaklis, Dan Marsden:
Proceedings of the 2018 Workshop on Compositional Approaches in Physics, NLP, and Social Sciences, CAPNS@QI 2018, Nice, France, 2nd-3rd September 2018. EPTCS 283, 2018 [contents] - Gary Cheng, Armin Askari, Laurent El Ghaoui, Kannan Ramchandran:
Frank-Wolfe Algorithm for Exemplar Selection. - Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau:
The RLLChatbot: a solution to the ConvAI challenge. - Sam Kumar, Michael P. Andersen, Hyung-Sin Kim, David E. Culler:
TCPlp: System Design and Analysis of Full-Scale TCP in Low-Power Networks. - Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie:
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. - Zeev Dvir, Alexander Golovnev, Omri Weinstein:
Static Data Structure Lower Bounds Imply Rigidity. - Rui Zhang, Sheng Tang, Yu Li, Junbo Guo, Yongdong Zhang, Jintao Li, Shuicheng Yan:
Style Separation and Synthesis via Generative Adversarial Networks. - Khondokar Fida Hasan, Yanming Feng, Yu-Chu Tian:
GNSS Time Synchronization in Vehicular Ad-Hoc Networks: Benefits and Feasibility. - Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. - Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. - Osman Tursun, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes, Sandra Mau:
Component-based Attention for Large-scale Trademark Retrieval. - Seyyedeh Atefeh Musavi, Mahmoud Reza Hashemi:
A Method for Ontology-based Architecture Reconstruction of Computing Platforms. - Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen:
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. - Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. - Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks. - Buddhima Gamlath, Sagar Kale, Slobodan Mitrovic, Ola Svensson:
Weighted Matchings via Unweighted Augmentations. - Yohei Miki:
Gravitational octree code performance evaluation on Volta GPU. - Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. - Yoonchang Sung, Pratap Tokekar:
A Competitive Algorithm for Online Multi-Robot Exploration of a Translating Plume. - Sung-Feng Huang, Yi-Chen Chen, Hung-yi Lee, Lin-Shan Lee:
Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection. - Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Álvarez-Estévez:
Uncertainty in Quantum Rule-Based Systems. - Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin:
YASENN: Explaining Neural Networks via Partitioning Activation Sequences. - Spencer Sheen, Jiancheng Lyu:
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition. - Lau Skorstengaard, Dominique Devriese, Lars Birkedal:
StkTokens: Enforcing Well-bracketed Control Flow and Stack Encapsulation using Linear Capabilities - Technical Report with Proofs and Details. - Pawel Kryszkiewicz, Adrian Kliks, Lukasz Kulacz, Hanna Bogucka, Georgios P. Koudouridis, Marcin Dryjanski:
Context-based spectrum sharing in 5G wireless networks based on Radio Environment Maps. - Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. - Xi Chen, Jie Tang, Yizhou Sun:
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. - Gui-Song Xia, Jin Huang, Nan Xue, Qikai Lu, Xiaoxiang Zhu:
GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images. - Tomoya Kitamura, Yuu Hasegawa, Sho Sakaino, Toshiaki Tsuji:
Estimation of Relationship between Stimulation Current and Force Exerted during Isometric Contraction. - Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. - Costin Florian Ciusdel, Alexandru Turcea, Andrei Puiu, Lucian Mihai Itu, Lucian Calmac, Emma Weiss, Cornelia Margineanu, Elisabeta Badila, Martin Berger, Thomas Redel, Tiziano Passerini, Mehmet A. Gülsün, Puneet Sharma:
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies. - Phi Vu Tran:
Multi-Task Graph Autoencoders. - Xiaolei Fang, Khawla Labad, Hongwei Liu, Jinquan Luo:
New Parameters on MDS Self-dual Codes over Finite Fields. - Qingnan Fan, Jiaolong Yang, David P. Wipf, Baoquan Chen, Xin Tong:
Image Smoothing via Unsupervised Learning. - Yukun Tian, Yimei Lei, Junping Zhang, James Z. Wang:
PaDNet: Pan-Density Crowd Counting. - Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang:
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. - Anton Belyy:
Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models. - Federico Della Croce, Rosario Scatamacchia:
A new exact approach for the Bilevel Knapsack with Interdiction Constraints. - Andrei Arusoaie, Dorel Lucanu:
Unification in Matching Logic - Extended Version. - Krishna Chaitanya Kosaraju, Michele Cucuzzella, Ramkrishna Pasumarthy, Jacquelien M. A. Scherpen:
Differentiation and Passivity for Control of Brayton-Moser Systems. - David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
Neural Image Compression for Gigapixel Histopathology Image Analysis. - Gloria Re Calegari, Andrea Fiano, Irene Celino:
A Framework to build Games with a Purpose for Linked Data Refinement. - Ilya Kamenshchikov, Matthias Krauledat:
Effects of Dataset properties on the training of GANs. - Arta Cika, Mihai-Alin Badiu, Justin P. Coon, Shahriar Etemadi Tajbakhsh:
Entropy Rate of Time-Varying Wireless Networks. - Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen:
UWB/LiDAR Fusion For Cooperative Range-Only SLAM. - Hao Qiu, Shaoshuai Gao:
Position filtering-based non-orthogonal multiple access in mobile scenarios. - Lin Zhang, Junjie Tan, Ying-Chang Liang, Gang Feng, Dusit Niyato:
Deep Reinforcement Learning based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks. - Mikulas Zelinka:
Baselines for Reinforcement Learning in Text Games. - Arthur le Calvez, Dave Cliff:
Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market. - Seong Hah Cho, Cody A. Cushing, Kunal Patel, Alok Kothari, Rongjian Lan, Matthias Michel, Mouslim Cherkaoui, Hakwan C. Lau:
Blockchain and human episodic memory. - Federico Della Croce, Thierry Garaix, Andrea Grosso:
Iterated local search and very large neighborhoods for the parallel-machines total tardiness problem. - Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna:
SCALE-Sim: Systolic CNN Accelerator. - Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGSim + MGMark: A Framework for Multi-GPU System Research. - Shuja Khalid:
Player Availability Rating (PAR) - A Tool for Quantifying Skater Performance for NHL General Managers. - Ellie Birbeck, Dave Cliff:
Using Stock Prices as Ground Truth in Sentiment Analysis to Generate Profitable Trading Signals. - Tam N. Nguyen:
Certified Ethical Hacker v.10 Online Course - a Case Study. - Julien Lavauzelle, Razane Tajeddine, Ragnar Freij-Hollanti, Camilla Hollanti:
Private Information Retrieval Schemes with Regenerating Codes. - Gregor Wiedemann, Raghav Jindal, Chris Biemann:
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. - Lipeng Zhu, Jun Zhang, Zhenyu Xiao, Xianbin Cao, Dapeng Oliver Wu, Xiang-Gen Xia:
Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks. - Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann:
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter. - Zhenyu Xiao, Lipeng Zhu, Zhen Gao, Dapeng Oliver Wu, Xiang-Gen Xia:
User Fairness Non-orthogonal Multiple Access (NOMA) for 5G Millimeter-Wave Communications with Analog Beamforming. - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
DOD-CNN: Doubly-injecting Object Information for Event Recognition. - Ben Abramowitz, Nicholas Mattei:
Flexible Representative Democracy: An Introduction with Binary Issues. - Dongdong Hou, Weiming Zhang, Jiayang Liu, Siyan Zhou, Dongdong Chen, Nenghai Yu:
Emerging Applications of Reversible Data Hiding. - Yuting Zhu, Liyong Lin, Rong Su:
Supervisor Obfuscation Against Actuator Enablement Attack. - Nima Anari, Alireza Rezaei:
A Tight Analysis of Bethe Approximation for Permanent. - Hongwei Yong, Deyu Meng, Jinxing Li, Wangmeng Zuo, Lei Zhang:
Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians. - Hendrik Fichtenberger, Pan Peng, Christian Sohler:
Every Testable (Infinite) Property of Bounded-Degree Graphs Contains an Infinite Hyperfinite Subproperty. - Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona:
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation. - Antoine Amarilli, Florent Capelli, Mikaël Monet, Pierre Senellart:
Connecting Knowledge Compilation Classes and Width Parameters. - Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales:
Generative Adversarial Policy Networks for Behavioural Repertoire. - Imanol Luengo, Evangello Flouty, Petros Giataganas, Piyamate Wisanuvej, Jean Nehme, Danail Stoyanov:
SurReal: enhancing Surgical simulation Realism using style transfer. - Vahid Jamali, Antonia M. Tulino, Georg Fischer, Ralf R. Müller, Robert Schober:
Scalable and Energy-Efficient Millimeter Massive MIMO Architectures: Reflect-Array and Transmit-Array Antennas. - Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez:
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition. - Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau:
Compositional Language Understanding with Text-based Relational Reasoning. - Bernhard Bergmair, Thomas Buchegger, Johann Hoffelner, Gerald Schatz, Siegfried Silber, Johannes Klinglmayr:
Instantly Deployable Expert Knowledge - Networks of Knowledge Engines. - Martin Ukrop, Valdemar Svábenský, Jan Nehyba:
Reflective Diary for Professional Development of Novice Teachers. - Adrien Pommellet, Marcio Diaz, Tayssir Touili:
Reachability Analysis of Pushdown Systems with an Upper Stack. - Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong:
An exploration of algorithmic discrimination in data and classification. - Yana B. Feygin, Kelly Morris, Roman V. Yampolskiy:
Uploading Brain into Computer: Whom to Upload First? - Yuhui Ding, Shanshan Li, Jinghan Liu, Xiaojun Wu:
DCLab: A Web-based System for Digital Logic Experiment Teaching. - Adriënne M. Mendrik, Stephen R. Aylward:
Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems. - Hadi Mansourifar, Weidong Shi:
Toward Efficient Breast Cancer Diagnosis and Survival Prediction Using L-Perceptron. - Shashank K. Mehta, Mahesh Sreekumar Rajasree, Rajendra Kumar:
Maximum Distance Sub-Lattice Problem. - Fabrizio Grandoni, Bundit Laekhanukit, Shi Li:
O(log2k/log log k)-Approximation Algorithm for Directed Steiner Tree: A Tight Quasi-Polynomial-Time Algorithm. - Adam Conkey, Tucker Hermans:
Learning Task Constraints from Demonstration for Hybrid Force/Position Control. - Jinseok Kim:
Scale-free collaboration networks: An author name disambiguation perspective. - Aleksandr N. Maksimenko:
Branch and bound algorithm for the traveling salesman problem is not a direct type algorithm. - Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Severe ViewPoint and Appearance Changes. - Can Eren Sezener:
Computing the Value of Computation for Planning. - Agnieszka Falenska, Anders Björkelund, Xiang Yu, Jonas Kuhn:
IMS at the PolEval 2018: A Bulky Ensemble Depedency Parser meets 12 Simple Rules for Predicting Enhanced Dependencies in Polish. - Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way:
Data Selection with Feature Decay Algorithms Using an Approximated Target Side. - Oscar Luis Vera-Pérez, Martin Monperrus, Benoit Baudry:
Descartes: A PITest Engine to Detect Pseudo-Tested Methods - Tool Demonstration. - Mohammad Rafayet Ali, Zahra Rasazi, Abdullah Al Mamun, Raina Langevin, Reza Rawassizadeh, Lenhart K. Schubert, Mohammed (Ehsan) Hoque:
A Virtual Conversational Agent for Teens with Autism: Experimental Results and Design Lessons. - Christoph Dann, Lihong Li, Wei Wei, Emma Brunskill:
Policy Certificates: Towards Accountable Reinforcement Learning. - Raphael Tang, Ashutosh Adhikari, Jimmy Lin:
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks. - Chin-Chia Michael Yeh:
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. - Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain:
Prototypical Clustering Networks for Dermatological Disease Diagnosis. - Siyu Dai, Shawn Schaffert, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Chance Constrained Motion Planning for High-Dimensional Robots. - Zijia Zhong, Mark M. Nejad, Earl E. Lee II:
Unconventional Arterial Intersection Designs under Connected and Automated Vehicle Environment: A Survey. - Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional embeddings for music source separation. - Antoine Labatie:
Characterizing Well-behaved vs. Pathological Deep Neural Network Architectures. - Eric Balkanski, Aviad Rubinstein, Yaron Singer:
An Optimal Approximation for Submodular Maximization under a Matroid Constraint in the Adaptive Complexity Model. - Mitchell Stern, Noam Shazeer, Jakob Uszkoreit:
Blockwise Parallel Decoding for Deep Autoregressive Models. - Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens:
On the Complexity of Reconnaissance Blind Chess. - Vincent Billaut, Matthieu de Rochemonteix, Marc Thibault:
ColorUNet: A convolutional classification approach to colorization. - Olivier Cardin:
Classification of cyber-physical production systems applications: Proposition of an analysis framework. - Jin-Yi Cai, Tianyu Liu, Pinyan Lu, Jing Yu:
Approximability of the Eight-vertex Model. - Savvas Zannettou, Tristan Caulfield, William Setzer, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn:
Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls. - Simon H. Tindemans, Matthew Woolf, Goran Strbac:
Capacity Value of Interconnection Between Two Systems. - Sara Handouf, Essaid Sabir:
Strategic Availability and Cost Effective UAV-based Flying Access Networks: S-Modular Game Analysis. - Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification to Improve Poultry Welfare. - K. Gretchen Greene:
DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring. - Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind, Jure Leskovec, Sune Lehmann:
Offline Behaviors of Online Friends. - Ali Taimori, Farokh Marvasti:
Forensic Discrimination between Traditional and Compressive Imaging Systems. - Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm. - Kshitij Tiwari, Xuesu Xiao, Nak Young Chong:
Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration. - Tim Miller:
Contrastive Explanation: A Structural-Model Approach. - Nathan Burow, Xinping Zhang, Mathias Payer:
Shining Light On Shadow Stacks. - Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. - Taolue Chen, Matthew Hague, Anthony W. Lin, Philipp Rümmer, Zhilin Wu:
Decision Procedures for Path Feasibility of String-Manipulating Programs with Complex Operations. - Stephane Fotso, Philip Spanoudes, Benjamin C. Ponedel, Brian Reynoso, Janet Ko:
Attention Fusion Networks: Combining Behavior and E-mail Content to Improve Customer Support. - Matthew R. Kirchner:
Automatic Thresholding of SIFT Descriptors. - Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi:
SAT-based Explicit LTLf Satisfiability Checking. - Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. - Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu:
Solving Jigsaw Puzzles By the Graph Connection Laplacian. - Elizabeth Salesky, Susanne Burger, Jan Niehues, Alex Waibel:
Towards Fluent Translations from Disfluent Speech. - Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh:
Ad-versarial: Defeating Perceptual Ad-Blocking. - Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians Clustering. - Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao:
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning. - Victor Perrier, Hassan Jameel Asghar, Dali Kaafar:
Private Continual Release of Real-Valued Data Streams. - Prashanth Gurunath Shivakumar, Panayiotis G. Georgiou:
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities. - Brian Axelrod, Gregory Valiant:
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood. - Kerry Halupka, Rahil Garnavi, Stephen Moore:
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data. - Marco Stricker, Olivier Augereau, Koichi Kise, Motoi Iwata:
Facial Landmark Detection for Manga Images. - Weichen Dai, Yu Zhang, Ping Li, Zheng Fang:
RGB-D SLAM in Dynamic Environments Using Points Correlations. - Hongjiang Lei, Zixuan Yang, Ki-Hong Park, Imran Shafique Ansari, Yongcai Guo, Gaofeng Pan, Mohamed-Slim Alouini:
Secrecy Outage Analysis for Cooperative NOMA Systems with Relay Selection Scheme. - Jingwei Liu, Xiaolu Li, Lin Ye, Hongli Zhang, Xiaojiang Du, Mohsen Guizani:
BPDS: A Blockchain based Privacy-Preserving Data Sharing for Electronic Medical Records. - Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani:
Stochastic Matching with Few Queries: New Algorithms and Tools. - Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. - Mingyang Guan, Zhengguo Li, Renjie He, Changyun Wen:
High Speed Tracking With A Fourier Domain Kernelized Correlation Filter. - Jingwei Liu, Xiaolu Li, Rong Sun, Xiaojiang Du, E. Paul Ratazzi:
An Efficient Privacy-Preserving Incentive Scheme without TTP in Participatory Sensing Network. - Jingwei Liu, Qingqing Li, Rong Sun, Xiaojiang Du, Mohsen Guizani:
An Efficient Anonymous Authentication Scheme for Internet of Vehicles. - Wei Zhou, Yan Jia, Yao Yao, Lipeng Zhu, Le Guan, Yuhang Mao, Peng Liu, Yuqing Zhang:
Phantom Device Attack: Uncovering the Security Implications of the Interactions among Devices, IoT Cloud, and Mobile Apps. - Faisal Mohammad, Ki Boem Lee, Young-Chon Kim:
Short Term Load Forecasting Using Deep Neural Networks. - Jingwei Liu, Huifang Tang, Chaoya Li, Rong Sun, Xiaojiang Du, Mohsen Guizani:
vFAC: Fine-Grained Access Control with Versatility for Cloud Storage. - Roger Granada, Renata Vieira, Cássia Trojahn, Nathalie Aussenac-Gilles:
Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages. - Jingwei Liu, Qin Hu, Chaoya Li, Rong Sun, Xiaojiang Du, Mohsen Guizani:
A Traceable Concurrent Data Anonymous Transmission Scheme for Heterogeneous VANETs. - Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. - Hongguang Zhang, Piotr Koniusz:
Model Selection for Generalized Zero-shot Learning. - Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon:
Bias and Generalization in Deep Generative Models: An Empirical Study. - Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn, Bin Wang, Slava Maslennikov:
Using Passivity Theory to Interpret the Dissipating Energy Flow Method. - Songyou Peng, Peter Sturm:
Calibration Wizard: A Guidance System for Camera Calibration. - Sourav Das, Vinay Joseph Ribeiro, Abhijeet Anand:
YODA: Enabling computationally intensive contracts on blockchains with Byzantine and Selfish nodes. - Luisa F. Polanía, Dongning Wang, Glenn Fung:
Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation. - Xi Yang, Michail Matthaiou, Jie Yang, Chao-Kai Wen, Feifei Gao, Shi Jin:
Hardware-Constrained Millimeter Wave Systems for 5G: Challenges, Opportunities, and Solutions. - Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang:
Learning Disentangled Representations for Timber and Pitch in Music Audio. - Peter M. Hines:
Information Flow in Pregroup Models of Natural Language. 13-27 - Brian Tyrrell:
Applying Distributional Compositional Categorical Models of Meaning to Language Translation. 28-49 - Francesco Galofaro, Zeno Toffano, Bich-Liên Doan:
Quantum Semantic Correlations in Hate and Non-Hate Speeches. 62-74 - Gijs Wijnholds, Mehrnoosh Sadrzadeh:
Classical Copying versus Quantum Entanglement in Natural Language: The Case of VP-ellipsis. 103-119 - Bob Coecke, Giovanni de Felice, Dan Marsden, Alexis Toumi:
Towards Compositional Distributional Discourse Analysis. 1-12 - Calvin Newport, Chaodong Zheng:
Approximate Neighbor Counting in Radio Networks. - Chien Cheng Chien, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function. - Ang Li, Christos Masouros, Yonghui Li, Branka Vucetic, A. Lee Swindlehurst:
Interference Exploitation Precoding for Multi-Level Modulations: Closed-Form Solutions. - Jason R. C. Nurse, Sadie Creese, David De Roure:
Security Risk Assessment in Internet of Things Systems. - Mithun Das Gupta:
Doc2Im: document to image conversion through self-attentive embedding. - Qiang Wu, T. John Koo, Yoshihiko Susuki:
Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm. - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
BAR: Bayesian Activity Recognition using variational inference. - Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar:
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge. - Anand Bihari, Sudhakar Tripathi, Akshay Deepak:
h-index and its alternative: A Review. - Xiaoyan Kuai, Lei Chen, Xiaojun Yuan, An Liu:
Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM Channel Estimation. - Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang:
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO. - Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO. - Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Discovering Power Laws in Entity Length. - Naoki Kato, Tianqi Li, Kohei Nishino, Yusuke Uchida:
Improving Multi-Person Pose Estimation using Label Correction. - Aaron Bernstein, Danupon Nanongkai:
Distributed Exact Weighted All-Pairs Shortest Paths in Near-Linear Time. - Xiaoxiao Li, Vivek K. Singh, Yifan Wu, Klaus J. Kirchberg, James S. Duncan, Ankur Kapoor:
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging. - Leonid Kostenko, Alexander Zhabin, Alexander Kuznetsov, Elizabeth Kukharchuk, Tatiana Simonenko:
System of Bibliometric Monitoring Sciences in Ukraine. - Tanya Shreedhar, Sanjit K. Kaul, Roy D. Yates:
ACP: An End-to-End Transport Protocol for Delivering Fresh Updates in the Internet-of-Things. - Davide Grossi, Sanjay Modgil:
On the Graded Acceptability of Arguments in Abstract and Instantiated Argumentation. - Davide Bacciu, Antonio Carta, Alessandro Sperduti:
Linear Memory Networks. - Nikolaus Binder, Alexander Keller:
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes. - Igor E. Shparlinski, Arne Winterhof:
Codes correcting restricted errors. - Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Meta-Learning for Multi-objective Reinforcement Learning. - Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, Stephen Marshall:
Activation Functions: Comparison of trends in Practice and Research for Deep Learning. - Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel:
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis. - Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel:
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. - Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. - Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King:
Transformative Machine Learning. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. - Karolin Winter, Stefanie Rinderle-Ma:
Untangling the GDPR Using ConRelMiner. - Jiaxu Zuo, Tom Gedeon, Zhenyue Qin:
Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition. - Yuji Roh, Geon Heo, Steven Euijong Whang:
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective. - Jarryd Son, Amit Kumar Mishra:
ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks. - Marco Cox, Thijs van de Laar, Bert de Vries:
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms. - Arta Cika, Mihai-Alin Badiu, Justin P. Coon:
Quantifying Link Stability in Ad Hoc Wireless Networks Subject to Ornstein-Uhlenbeck Mobility. - Jianguo Chen, Kenli Li, Zhuo Tang, Kashif Bilal, Keqin Li:
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment. - Karol Król, Artur Strzelecki, Dariusz Zdonek:
Credibility of Automatic Appraisal of Domain Names. - Carl Öhman, David S. Watson:
Are the Dead Taking Over Facebook: A Big Data Approach to the Future of Death Online. - Gautam Srivastava, Ashutosh Dhar Dwivedi, Rajani Singh:
Automated Remote Patient Monitoring: Data Sharing and Privacy Using Blockchain. - Mark C. Ballandies, Marcus M. Dapp, Evangelos Pournaras:
Decrypting Distributed Ledger Design - Taxonomy, Classification and Blockchain Community Evaluation. - Hugh Harvey, James Keen, Chester Robinson, James Roff, Thilo Gross:
Quantitative analysis of approaches to group marking. - Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. - Markus Eger, Kory W. Mathewson:
dAIrector: Automatic Story Beat Generation through Knowledge Synthesis. - Massimo Bartoletti, Tiziana Cimoli, Livio Pompianu, Sergio Serusi:
Blockchain for social good: a quantitative analysis. - Anmoila Talpur, Yanchun Zhang:
A Study of Tourist Sequential Activity Patterns through Location Based Social Network (LBSN). - Iñigo Urteaga, Mollie McKillop, Sharon Lipsky Gorman, Noémie Elhadad:
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. - Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. - Ben Green:
Data Science as Political Action: Grounding Data Science in a Politics of Justice. - Hayoung Eom, Heeyoul Choi:
Alpha-Pooling for Convolutional Neural Networks. - Omar Elbagalati, Mustafa Hajij:
Integrating Project Spatial Coordinates into Pavement Management Prioritization. - Sangchul Hahn, Heeyoul Choi:
Disentangling Latent Factors with Whitening. - Md. Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches. - Jiayang Liu, Weiming Zhang, Nenghai Yu:
CAAD 2018: Iterative Ensemble Adversarial Attack. - Lukas Burkhalter, Hossein Shafagh, Anwar Hithnawi, Sylvia Ratnasamy:
TimeCrypt: A Scalable Private Time Series Data Store. - Shenglan Liu, Shuai Guo, Hong Qiao, Yang Wang, Bin Wang, Wenbo Luo, Mingming Zhang, Keye Zhang, Bixuan Du:
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition. - Conrad Watt, Petar Maksimovic, Neelakantan R. Krishnaswami, Philippa Gardner:
A Program Logic for First-Order Encapsulated WebAssembly. - Aftab Hussain, Omar Asadi, Debra J. Richardson:
A holistic look at requirements engineering practices in the gaming industry. - Ilias Diakonikolas, Daniel M. Kane:
Degree-d Chow Parameters Robustly Determine Degree-d PTFs (and Algorithmic Applications). - Enrique Sanchez, Michel F. Valstar:
Triple consistency loss for pairing distributions in GAN-based face synthesis. - Gopal P. Sarma, Adam Safron, Nick J. Hay:
Integrative Biological Simulation, Neuropsychology, and AI Safety. - Marc Carreras, Carles Candela, David Ribas, Narcís Palomeras, Lluís Magií, Angelos Mallios, Eduard Vidal, Èric Pairet, Pere Ridao:
Testing SPARUS II AUV, an open platform for industrial, scientific and academic applications. - Helge Spieker, Arnaud Gotlieb, Morten Mossige:
Rotational Diversity in Multi-Cycle Assignment Problems. - Nikos Gorogiannis, Peter W. O'Hearn, Ilya Sergey:
A True Positives Theorem for a Static Race Detector - Extended Version. - Chen Cai, Yusu Wang:
A simple yet effective baseline for non-attribute graph classification. - Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and Benchmarks for Automated Log Parsing. - Nikolaus Binder, Alexander Keller:
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces. - Jiaxun Cai, Hai Zhao:
Effective Subtree Encoding for Easy-First Dependency Parsing. - Ayyoob Imani, Amir Vakili, Ali Montazer, Azadeh Shakery:
Deep Neural Networks for Query Expansion using Word Embeddings. - Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson:
Learning from Demonstration in the Wild. - Bertrand Higy, Peter Bell:
Few-shot learning with attention-based sequence-to-sequence models. - Mubariz Zaffar, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition. - Zachary Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos:
A Geometric Perspective on the Transferability of Adversarial Directions. - Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. - Wayne Treible, Scott Sorensen, Andrew D. Gilliam, Joseph L. Mundy:
Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery. - Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. - Vuk Lesi, Ilija Jovanov, Miroslav Pajic:
Integrating Security in Resource-Constrained Cyber-Physical Systems. - Marcos A. C. Oliveira, Diego Pinheiro, Mariana Macedo, Carmelo J. A. Bastos Filho, Ronaldo Menezes:
Unveiling Swarm Intelligence with Network Science - the Metaphor Explained. - Shuo Niu, D. Scott McCrickard, Steve Harrison:
Towards Connecting Experiences during Collocated Events through Data Mining and Visualization. - Kashyap Chitta, Jianwei Feng, Martial Hebert:
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels. - Shuai Chen, Marleen de Bruijne:
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. - Pengxiang Cheng, Katrin Erk:
Implicit Argument Prediction as Reading Comprehension. - Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. - Braegan S. Spring, Eric Polizzi, Ahmed H. Sameh:
A Feature Complete SPIKE Banded Algorithm and Solver. - Mizanur Rahman, Mashrur Chowdhury, Jerome McClendon:
Real-time Traffic Data Prediction with Basic Safety Messages using Kalman-Filter based Noise Reduction Model and Long Short-term Memory Neural Network. - Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin W. Hart, Scott Niekum, Luis Sentis, Peter Stone:
LAAIR: A Layered Architecture for Autonomous Interactive Robots. - David A. Robb, Jonatan Scharff Willners, Nicolas Valeyrie, Francisco Javier Chiyah Garcia, Atanas Laskov, Xingkun Liu, Pedro Patrón, Helen F. Hastie, Yvan R. Petillot:
A Natural Language Interface with Relayed Acoustic Communications for Improved Command and Control of AUVs. - Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio:
Biologically-plausible learning algorithms can scale to large datasets. - Yacine Chitour, Zhenyu Liao, Romain Couillet:
A Geometric Approach of Gradient Descent Algorithms in Neural Networks. - Ayyoob Imani, Amir Vakili, Ali Montazer, Azadeh Shakery:
An Axiomatic Study of Query Terms Order in Ad-hoc Retrieval. - Luca Bortolussi, Guido Sanguinetti:
Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence. - Quoc-Hoan Tran, Van Tuan Vo, Yoshihiko Hasegawa:
Scale-variant topological information for characterizing complex networks. - Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. - Marilena Vendittelli, Jean-Paul Laumond, Bud Mishra:
Decidability in Robot Manipulation Planning. - Shih-Han Hung, Kesha Hietala, Shaopeng Zhu, Mingsheng Ying, Michael Hicks, Xiaodi Wu:
Quantitative Robustness Analysis of Quantum Programs (Extended Version). - Sepideh Mahabadi, Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Nonlinear Dimension Reduction via Outer Bi-Lipschitz Extensions. - Dekel Tsur:
An O^*(2.619^k) algorithm for 4-path vertex cover. - Kitti Gelle, Szabolcs Iván:
The ordinal generated by an ordinal grammar is computable. - Takahiro Yabe, Yoshihide Sekimoto, Kota Tsubouchi, Satoshi Ikemoto:
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data. - Christopher J. Shallue, Jaehoon Lee, Joseph M. Antognini, Jascha Sohl-Dickstein, Roy Frostig, George E. Dahl:
Measuring the Effects of Data Parallelism on Neural Network Training. - Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage:
Federated Learning for Mobile Keyboard Prediction. - Filippo Bonchi, Tom van Bussel, Matias David Lee, Jurriaan Rot:
Bisimilarity of Open Terms in Stream GSOS. - Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. - Timo Wunderlich, Ákos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. - Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. - Hang Qiu, Krishna Chintalapudi, Ramesh Govindan:
Satyam: Democratizing Groundtruth for Machine Vision. - Álvaro García-Pérez, Alexey Gotsman:
Federated Byzantine Quorum Systems (Extended Version). - Jason M. Pittman, Jesus P. Espinoza, Courtney Soboleski Crosby:
Stovepiping and Malicious Software: A Critical Review of AGI Containment. - Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu:
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness. - Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. - Mohammad Ghasemisharif, Peter Snyder, Andrius Aucinas, Benjamin Livshits:
SpeedReader: Reader Mode Made Fast and Private. - Daeyoung Choi, Kyungeun Lee, Changho Shin, Wonjong Rhee:
On the Statistical and Information-theoretic Characteristics of Deep Network Representations. - Salman Yousaf, Pouyan Ahmadi, Khondkar R. Islam:
A Novel Study of the Relation Between Students Navigational Behavior on Blackboard and their Learning Performance in an Undergraduate Networking Course. - Jacques Carette, Roshan P. James, Amr Sabry:
Embracing the Laws of Physics: Three Reversible Models of Computation. - Caroline Werther, Morgan Ferguson, Kevin Park, Troy Kling, Cuixian Chen, Yishi Wang:
Gender Effect on Face Recognition for a Large Longitudinal Database. - Muhammad Amjad, Leila Musavian, Mubashir Husain Rehmani:
Effective Capacity in Wireless Networks: A Comprehensive Survey. - Ian J. Goodfellow:
New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling. - Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang:
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? - Deepak Mishra, A. P. Prathosh, Aravind Jayendran, Prashant Pandey, Santanu Chaudhury:
NEMGAN: Noise Engineered Mode-matching GAN. - Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley:
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. - Chao Weng, Dong Yu:
A Comparison of Lattice-free Discriminative Training Criteria for Purely Sequence-Trained Neural Network Acoustic Models. - Giovanni Sutanto, Nathan D. Ratliff, Balakumar Sundaralingam, Yevgen Chebotar, Zhe Su, Ankur Handa, Dieter Fox:
Learning Latent Space Dynamics for Tactile Servoing. - Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. - Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu:
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series. - Huili Chen, Bita Darvish Rouhani, Xinwei Fan, Osman Cihan Kilinc, Farinaz Koushanfar:
Performance Comparison of Contemporary DNN Watermarking Techniques. - Jared M. Smith, Kyle Birkeland, Max Schuchard:
An Internet-Scale Feasibility Study of BGP Poisoning as a Security Primitive. - Michal Derezinski:
Fast determinantal point processes via distortion-free intermediate sampling. - Christoph Vogel, Patrick Knöbelreiter, Thomas Pock:
Learning Energy Based Inpainting for Optical Flow. - Jingwei Liu, Fanghui Cai, Longfei Wu, Rong Sun, Liehuang Zhu, Xiaojiang Du:
EPDA: Enhancing Privacy-Preserving Data Authentication for Mobile Crowd Sensing. - Jingwei Liu, Jinping Han, Longfei Wu, Rong Sun, Xiaojiang Du:
VDAS: Verifiable Data Aggregation Scheme for Internet of Things. - Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava:
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. - Yanran Li, Wenjie Li, Ziqiang Cao, Chengyao Chen:
Incorporating Relevant Knowledge in Context Modeling and Response Generation. - Jingwei Liu, Qingqing Li, Huijuan Cao, Rong Sun, Xiaojiang Du, Mohsen Guizani:
MDBV: Monitoring Data Batch Verification for Survivability of Internet of Vehicles. - Kejiang Chen, Hang Zhou, Dongdong Hou, Hanqing Zhao, Weiming Zhang, Nenghai Yu:
Provably Secure Steganography on Generative Media. - Thomas A. Hogan, Bhavya Kailkhura:
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses. - Xiaoshuai Sun:
Semantic and Contrast-Aware Saliency. - Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu:
Securing Behavior-based Opinion Spam Detection. - Jingwei Liu, Lihuan Zhang, Rong Sun, Xiaojiang Du, Mohsen Guizani:
Mutual Heterogeneous Signcryption Schemes for 5G Network Slicings. - Xingyu Li, Bogdan I. Epureanu:
Analysis of Fleet Modularity in an Artificial Intelligence-Based Attacker-Defender Game. - Patrick Lavin, E. Jason Riedy, Rich Vuduc, Jeffrey S. Young:
Spatter: A Benchmark Suite for Evaluating Sparse Access Patterns. - Anindya De, Philip M. Long, Rocco A. Servedio:
Density estimation for shift-invariant multidimensional distributions. - Umair Mohammad, Sameh Sorour:
Adaptive Task Allocation for Mobile Edge Learning. - Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati:
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. - Naoto Sato, Hironobu Kuruma, Masanori Kaneko, Yuichiroh Nakagawa, Hideto Ogawa, Thai Son Hoang, Michael J. Butler:
DeepSaucer: Unified Environment for Verifying Deep Neural Networks. - Duong Nguyen Anh, Hieu Nguyen Kiem, Vi Ngo Van:
Neural sequence labeling for Vietnamese POS Tagging and NER. - (Withdrawn) Influence of Technical and Social Factors for Introducing Bugs.
- Tsuyoshi Adachi, Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji:
Imitation Learning for Object Manipulation Based on Position/Force Information Using Bilateral Control. - Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao:
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction. - Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. - Yonggyu Park, Junhyun Lee, Yookyung Koh, Inyeop Lee, Jinhyuk Lee, Jaewoo Kang:
Typeface Completion with Generative Adversarial Networks. - Jaroslaw Blasiok, Mark Bun, Aleksandar Nikolov, Thomas Steinke:
Towards Instance-Optimal Private Query Release. - Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles. - Xin Long, Jigang Wu, Long Chen:
Energy-Efficient Offloading in Mobile Edge Computing with Edge-Cloud Collaboration. - Wenqi Liang, Guangcong Wang, Jianhuang Lai, Jun-Yong Zhu:
M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification. - Benjamin Johnston, Philip de Chazal:
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs. - Bin Wang, Kai Sun, Xin Xu:
Nonlinear Modal Decoupling Based Power System Transient Stability Analysis. - Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. - Minjia Shi, Li Xu, Patrick Solé:
On isodual double polycirculant codes. - Liwei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo, Dongyan Zhao:
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach. - Xin Luo, Fengtao Xu, Ting Wang, Hu Wang, Yang Zeng:
Global sensitivity analysis based on DIRECT-KG-HDMR and thermal optimization of pin-fin heat sink for the platform inertial navigation system. - Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai:
Gradient Descent Finds Global Minima of Deep Neural Networks. - Roland Roller, Philippe Thomas, Sven Schmeier:
Football and Beer - a Social Media Analysis on Twitter in Context of the FIFA Football World Cup 2018. - Kim Batselier:
The trouble with tensor ring decompositions. - Jianbo Gao, Han Liu, Chao Liu, Qingshan Li, Zhi Guan, Zhong Chen:
EASYFLOW: Keep Ethereum Away From Overflow. - Edwin Yuan, Junkyo Suh:
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images. - Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka:
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement. - Chao Yu:
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control. - Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma:
Skeptical Deep Learning with Distribution Correction. - Bin Liu:
A Very Brief and Critical Discussion on AutoML. - Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. - Oleksii Sidorov:
Changing the Image Memorability: From Basic Photo Editing to GANs. - Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani:
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. - Zhen Mei, Kui Cai, Long Shi:
Information Theoretic Bounds Based Channel Quantization Design for Emerging Memories. - Serge Gaspers, Joshua Lau:
Minimizing and Computing the Inverse Geodesic Length on Trees. - John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
Unique End of Potential Line. - Qiming Zou, Ke Lu, Yu Li:
Computation Load Balancing Real-Time Model Predictive Control in Urban Traffic Networks. - Sune Darkner, Stefan Sommer, Andreas Schuhmacher, Henrik Ingerslev Anders O. Baandrup, Carsten Thomsen, Søren Jønsson:
An Average of the Human Ear Canal: Recovering Acoustical Properties via Shape Analysis. - Corentin Hardy, Erwan Le Merrer, Bruno Sericola:
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets. - Christopher M. Maynard, David N. Walters:
Precision of the ENDGame: Mixed-precision arithmetic in the iterative solver of the Unified Model. - Qiming Zou, Ling Wang, Ke Lu, Yu Li:
Sample-Efficient Policy Learning based on Completely Behavior Cloning. - Ozan Caglayan, Ramon Sanabria, Shruti Palaskar, Loïc Barrault, Florian Metze:
Multimodal Grounding for Sequence-to-Sequence Speech Recognition. - Timo Schick, Hinrich Schütze:
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. - Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina:
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. - Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Quasi-Perfect Stackelberg Equilibrium. - Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang:
Long Short-Term Memory with Dynamic Skip Connections. - Ryan Eloff, Herman A. Engelbrecht, Herman Kamper:
Multimodal One-Shot Learning of Speech and Images. - Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-Supervision. - Yoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tatsuya Demizu:
Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications. - Duo Zhang, Geir Lindholm, Nicolas Martinez, Harsha Ratnaweera:
Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction. - Feng Wang, Wanna Zhang, Wei Luo:
An Empirical Evaluation On Vibrotactile Feedback For Wristband System. - Frank Sill Torres, Philipp Niemann, Robert Wille, Rolf Drechsler:
Breaking Landauer's Limit\\Using Quantum-dot Cellular Automata. - Sultan Javed Majeed, Marcus Hutter:
Performance Guarantees for Homomorphisms Beyond Markov Decision Processes. - Remus Pop, Patric Fulop:
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles. - Florian Wirnshofer, Philipp S. Schmitt, Wendelin Feiten, Georg von Wichert, Wolfram Burgard:
Robust, Compliant Assembly via Optimal Belief Space Planning. - Arnaud Gotlieb, Dusica Marijan, Helge Spieker:
Stratified Constructive Disjunction and Negation in Constraint Programming. - Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis:
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. - Shijie Lin, Jinwang Wang, Wen Yang, Gui-Song Xia:
Toward Autonomous Rotation-Aware Unmanned Aerial Grasping. - Yongseok Jeon, Seungho Kuk, Hyogon Kim:
Reducing Message Collisions in Sensing-based Semi-Persistent Scheduling (SPS) by Using Reselection Lookaheads in Cellular V2X. - Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang:
A Hierarchical Framework for Relation Extraction with Reinforcement Learning. - Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi:
Vector Gaussian CEO Problem Under Logarithmic Loss and Applications. - Jonathan Roux, Eric Alata, Guillaume Auriol, Mohamed Kaâniche, Vincent Nicomette, Romain Cayre:
RadIoT: Radio Communications Intrusion Detection for IoT - A Protocol Independent Approach. - Eleftherios Lampiris, Petros Elia:
Resolving a Feedback Bottleneck of Multi-Antenna Coded Caching. - Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis:
Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features. - Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix Recovery with Implicitly Low-Rank Data. - Anuran Makur, Elchanan Mossel, Yury Polyanskiy:
Broadcasting on Random Directed Acyclic Graphs. - Samuel A. Burden, Thomas Libby, Samuel D. Coogan:
On contraction analysis for hybrid systems. - Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song:
A Convergence Theory for Deep Learning via Over-Parameterization. - Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Compression of Sum-Product Networks on Tensor Networks. - Lars Jaffke, Paloma T. Lima:
A Complexity Dichotomy for Critical Values of the b-Chromatic Number of Graphs. - Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. - Wenting Xiong, Iftitahu Ni'mah, Juan M. G. Huesca, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy:
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN. - Simon N. Foley, Fabien Autrel, Edwin Bourget, Thomas Clédel, Stephane Grunenwald, José Rubio-Hernán, Alexandre Kabil, Raphael Larsen, Vivien M. Rooney, Kirsten Vanhulst:
Science Hackathons for Cyberphysical System Security Research: Putting CPS testbed platforms to good use. - Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique:
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. - Mohamed K. Abdel-Aziz, Chen-Feng Liu, Sumudu Samarakoon, Mehdi Bennis, Walid Saad:
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail. - Salman Faraji, Philippe Müllhaupt, Auke Jan Ijspeert:
Imprecise dynamic walking with time-projection control. - Erwin Riegler, Helmut Bölcskei:
Uncertainty relations and sparse signal recovery. - Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision. - Stanislav Fedorov, Antonio Candelieri:
Reachability-based safe learning for optimal control problem. - Dmitry Gavinsky:
The layer complexity of Arthur-Merlin-like communication. - Théo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach:
A generic framework for privacy preserving deep learning. - Philipp Blandfort, Jörn Hees, Desmond Upton Patton:
An Overview of Computational Approaches for Analyzing Interpretation. - Pulakesh Upadhyaya, Anxiao Jiang:
Representation-Oblivious Error Correction by Natural Redundancy. - Kamalika Bhattacharjee, Krishnendu Maity, Sukanta Das:
A Search for Good Pseudo-random Number Generators : Survey and Empirical Studies. - Qiang Zou, Hsi-Yung Feng:
Push-pull direct modeling of solid CAD models. - Alexander Prolubnikov:
An estimation of the greedy algorithm's accuracy for a set cover problem instance. - Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks. - Hongyang Jia, Yinqi Tang, Hossein Valavi, Jintao Zhang, Naveen Verma:
A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing. - Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul:
Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. - MohammadHossein Bateni, Alireza Farhadi, MohammadTaghi Hajiaghayi:
Polynomial-time Approximation Scheme for Minimum k-cut in Planar and Minor-free Graphs. - Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Automated Multi-Label Classification based on ML-Plan. - Jan Bok, Nikola Jedlicková:
A note on simultaneous representation problem for interval and circular-arc graphs. - Jan Bok:
On convexity and solution concepts in cooperative interval games. - You Lu, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. - Alexandr Andoni, Tal Malkin, Negev Shekel Nosatzki:
Two Party Distribution Testing: Communication and Security. - Abdelrahman M. Ibrahim, Ahmed A. Zewail, Aylin Yener:
Benefits of Coded Placement for Networks with Heterogeneous Cache Sizes. - Aniruddh Rao Kabbinale, Emmanouil Dimogerontakis, Mennan Selimi, Anwaar Ali, Leandro Navarro, Arjuna Sathiaseelan:
Blockchain for Economically Sustainable Wireless Mesh Networks. - Maryam Babaee, Ali Athar, Gerhard Rigoll:
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification. - Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult:
Reducing Network Agnostophobia. - (Withdrawn) An Agent-Based Approach for Optimizing Modular Vehicle Fleet Operation.
- Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié:
ADNet: A Deep Network for Detecting Adverts. - Helge Spieker, Arnaud Gotlieb, Dusica Marijan, Morten Mossige:
Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration. - Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri:
Policy Regret in Repeated Games. - Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas S. Huang:
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification. - Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Derek Doran, Pascal Hitzler:
Reasoning over RDF Knowledge Bases using Deep Learning. - Efthymios Tzinis, Georgios Paraskevopoulos, Christos Baziotis, Alexandros Potamianos:
Integrating Recurrence Dynamics for Speech Emotion Recognition. - Jeff M. Phillips, Wai Ming Tai:
Relative Error RKHS Embeddings for Gaussian Kernels. - Reza Ghanaatian, Vahid Jamali, Andreas Burg, Robert Schober:
Feedback-Aware Precoding for Millimeter Wave Massive MIMO Systems. - Iroro Orife, Shane Walker, Jason Flaks:
Audio Spectrogram Factorization for Classification of Telephony Signals below the Auditory Threshold. - Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg:
LoRa Digital Receiver Analysis and Implementation. - Daniel Ting:
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. - Wei Zeng, Azadeh Davoodi, Yu Hen Hu:
Design Rule Violation Hotspot Prediction Based on Neural Network Ensembles. - Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell:
Zero-shot Neural Transfer for Cross-lingual Entity Linking. - Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. - João Pedro Dias, Hugo Sereno Ferreira:
State of the Software Development Life-Cycle for the Internet-of-Things. - Josue Espinosa Godinez, Hasan M. Jamil:
Meet Cyrus - The Query by Voice Mobile Assistant for the Tutoring and Formative Assessment of SQL Learners. - Patrick Vanvorce, Hasan M. Jamil:
Computational Thinking with the Web Crowd using CodeMapper. - Van-Khanh Tran, Le-Minh Nguyen:
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems. - Hongguang Zhang, Piotr Koniusz:
Power Normalizing Second-order Similarity Network for Few-shot Learning. - Amiangshu Bosu, Anindya Iqbal, Rifat Shahriyar, Partha Chakroborty:
Understanding the Motivations, Challenges and Needs of Blockchain Software Developers: A Survey. - Samir Hodzic, Enes Pasalic, Yongzhuang Wei, Fengrong Zhang:
Designing plateaued Boolean functions in spectral domain and their classification. - Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomás E. Ward:
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation. - Chung-Jin Kwak, Son-Il Kwak, Dae-Song Kang, Song-Il Choe, Jin-Ung Kim, Hyok-Gi Chea:
New Movement and Transformation Principle of Fuzzy Reasoning and Its Application to Fuzzy Neural Network. - Changhe Song, Cunchao Tu, Cheng Yang, Zhiyuan Liu, Maosong Sun:
CED: Credible Early Detection of Social Media Rumors. - Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara:
An efficient branch-and-bound algorithm for submodular function maximization. - Valts Blukis, Dipendra Kumar Misra, Ross A. Knepper, Yoav Artzi:
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction. - Farshid Farhat, Mohammad Mahdi Kamani, James Z. Wang:
CAPTAIN: Comprehensive Composition Assistance for Photo Taking. - Rafael Diniz:
Towards a Ginga-enabled Digital Radio Mondiale Broadcasting chain: Signaling and Definitions. - Yifan Tian, Yantian Hou, Jiawei Yuan:
CPAR: Cloud-Assisted Privacy-preserving Image Annotation with Randomized KD-Forest. - Matthijs Vákár, Ohad Kammar, Sam Staton:
A Domain Theory for Statistical Probabilistic Programming. - Amir H. Ashouri, Tarek S. Abdelrahman, Alwyn Dos Remedios:
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks. - Xiang Zhang, Yann LeCun:
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation. - Boumediene Hamzi, Eyad H. Abed:
A Note on Local Mode-in-State Participation Factors for Nonlinear Systems. - Ruotao Xu, Yuhui Quan, Yong Xu:
Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su:
Densely Connected Attention Propagation for Reading Comprehension. - Jifeng Xuan, Matias Martinez, Favio Demarco, Maxime Clément, Sebastian R. Lamelas Marcote, Thomas Durieux, Daniel Le Berre, Martin Monperrus:
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs. - Hsuan-Hao Chang, Wei-Yu Chiu, Hongjian Sun, Chia-Ming Chen:
User-Centric Multiobjective Approach to Privacy Preservation and Energy Cost Minimization in Smart Home. - Lei Deng, Cheng Tan, Wing Shing Wong:
On Stability Condition of Wireless Networked Control Systems under Joint Design of Control Policy and Network Scheduling Policy. - Bodor Almatrouk, Mohammad Rafiq Swash, Abdul Hamid Sadka:
Innovative 3D Depth Map Generation From A Holoscopic 3D Image Based on Graph Cut Technique. - Won-Ik Cho, Hyeon Seung Lee, Ji Won Yoon, Seok Min Kim, Nam Soo Kim:
Speech Intention Understanding in a Head-final Language: A Disambiguation Utilizing Intonation-dependency. - Ming Zhang, Nenggan Zheng, De Ma, Gang Pan, Zonghua Gu:
Efficient Spiking Neural Networks with Logarithmic Temporal Coding. - Felix Petersen, Moritz Schubotz, Bela Gipp:
Towards Formula Translation using Recursive Neural Networks. - Guyue Hu, Bo Cui, Shan Yu:
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention. - Geesara Prathap, Titus Nanda Kumara, Roshan G. Ragel:
Near Real-Time Data Labeling Using a Depth Sensor for EMG Based Prosthetic Arms. - Md. Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. - Martin Fixman, Ariel J. Berenstein, Jorge Brea, Martin Minnoni, Matias Travizano, Carlos Sarraute:
A Bayesian Approach to Income Inference in a Communication Network. - Geesara Prathap, Ilya Afanasyev:
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery. - Franklin Abodo, Robert Rittmuller, Brian Sumner, Andrew Berthaume:
Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision. - David McAllester, Karl Stratos:
Formal Limitations on the Measurement of Mutual Information. - Shangbang Long, Xin He, Cong Yao:
Scene Text Detection and Recognition: The Deep Learning Era. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Input Perturbations for Adaptive Regulation and Learning. - Juste Raimbault:
Relating complexities for the reflexive study of complex systems. - Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li:
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. - Nadezhda A. Ezhova, Leonid B. Sokolinsky:
Scalability Evaluation of Iterative Algorithms Used for Supercomputer Simulation of Physical processes. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features. - Archana Rajakaruna, Ahsan Manzoor, Pawani Porambage, Madhusanka Liyanage, Mika Ylianttila, Andrei V. Gurtov:
Lightweight Dew Computing Paradigm to Manage Heterogeneous Wireless Sensor Networks with UAVs. - Hainan Xu, Shuoyang Ding, Shinji Watanabe:
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling. - Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
IP Geolocation through Reverse DNS. - Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning. - Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Jaspreet Singh Walia, Marja Matinmikko-Blue, Mika Ylianttila:
Micro-Operator driven Local 5G Network Architecture for Industrial Internet. - William Kuszmaul:
Efficiently Approximating Edit Distance Between Pseudorandom Strings. - Peirong Wang, Pengfei Li, Farzana Chowdhury, Li Zhang:
Centralized adaptive traffic control strategy design across multiple intersections based on vehicle path flows: An approximated Lagrangian decomposition approach. - Andrew Hryniowski, Alexander Wong:
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations. - Reza Mirzazadeh, Mohammad Hossein Moattar, Majid Vafaei Jahan:
Metamorphic Malware Detection Using Linear Discriminant Analysis and Graph Similarity. - Soubarna Banik, Mikko Lauri, Simone Frintrop:
Multi-label Object Attribute Classification using a Convolutional Neural Network. - Hongwei Li, Andrii Zhygallo, Bjoern H. Menze:
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. - Iddo Tzameret, Stephen A. Cook:
Uniform, Integral and Feasible Proofs for the Determinant Identities. - Iaakov Exman:
Software Conceptual Integrity: Deconstruction, Then Reconstruction. - Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto:
Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation. - Mohammad Fereydounian, Mohammad Vahid Jamali, Hamed Hassani, Hessam Mahdavifar:
Channel Coding at Low Capacity. - Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. - Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. - Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. - Ye Zhao, Yinan Li, Luis Sentis, Ufuk Topcu, Jun Liu:
Reactive Task and Motion Planning for Robust Whole-Body Dynamic Locomotion in Constrained Environments. - Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, Dinesh Manocha:
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation. - Rohitash Chandra, Konark Jain, Ratneel Vikash Deo, Sally Cripps:
Langevin-gradient parallel tempering for Bayesian neural learning. - Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. - Vishal Agarwal:
Deep Face Quality Assessment. - Peng Liu, Brian Paden, Ümit Özgüner:
Model predictive trajectory optimization and tracking for on-road autonomous vehicles. - Zijian Bao, Bin Wang, Yongxin Zhang, Qinghao Wang, Wenbo Shi:
Lockcoin: a secure and privacy-preserving mix service for bitcoin anonymity. - John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. - Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao:
Generalization Bounds for Vicinal Risk Minimization Principle. - Yafang Huang, Zhuosheng Zhang, Hai Zhao:
Neural-based Pinyin-to-Character Conversion with Adaptive Vocabulary. - Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao:
Multi-labeled Relation Extraction with Attentive Capsule Network. - Bryan Wang, Yi-Hsuan Yang:
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network. - Ahmed ElSayed, Elif Kongar, Ausif Mahmood, Tarek M. Sobh, Terrance E. Boult:
Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition. - Qi Xuan, Xincheng Shu, Zhongyuan Ruan, Jinbao Wang, Chenbo Fu, Guanrong Chen:
A Self-Learning Information Diffusion Model for Smart Social Networks. - Neri Merhav, Asaf Cohen:
Universal Randomized Guessing with Application to Asynchronous Decentralized Brute-Force Attacks. - Amir Ahmad, Shehroz S. Khan:
A Survey of Mixed Data Clustering Algorithms. - Anrin Chakraborti, Radu Sion:
ConcurORAM: High-Throughput Stateless Parallel Multi-Client ORAM. - Izzeddin Gur, Dilek Hakkani-Tür, Gökhan Tür, Pararth Shah:
User Modeling for Task Oriented Dialogues. - Soham Saha, Girish Varma, C. V. Jawahar:
Improved Visual Relocalization by Discovering Anchor Points. - Alexander Schindler, Thomas Lidy, Stephan Karner, Matthias Hecker:
Fashion and Apparel Classification using Convolutional Neural Networks. - Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-aware Recommendation. - Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani:
Explaining Deep Learning Models using Causal Inference. - Walid A. Y. Aljoby, Xin Wang, Tom Z. J. Fu, Richard T. B. Ma:
On SDN-Enabled Online and Dynamic Bandwidth Allocation for Stream Analytics. - David Cortes:
Adapting multi-armed bandits policies to contextual bandits scenarios. - Yunho Jeon, Junmo Kim:
Integrating Multiple Receptive Fields through Grouped Active Convolution. - Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation. - Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang:
Gaussian-Induced Convolution for Graphs. - K. Sairam, Jayanta Mukherjee, Amit Patra, Partha Pratim Das:
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis. - Liu Yuezhang, Ruohan Zhang, Dana H. Ballard:
An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning. - Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization with Non-Uniform Weights on Missing Data. - Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Scoring Functions Using Deep Neural Networks. - Alexander Schindler, Thomas Lidy, Andreas Rauber:
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. - Wangyu Luo, Wael Alghamdi, Yue M. Lu:
Optimal Spectral Initialization for Signal Recovery with Applications to Phase Retrieval. - Valentin P. Bakoev:
About the ordinances of the vectors of the n-dimensional Boolean cube in accordance with their weights. - Xiaojin Zhu:
An Optimal Control View of Adversarial Machine Learning. - Talya Eden, Dana Ron, C. Seshadhri:
Faster sublinear approximations of k-cliques for low arboricity graphs. - Vadim E. Levit, David Tankus:
Generating subgraphs in chordal graphs. - Vadim E. Levit, David Tankus:
Recognizing generating subgraphs revisited. - Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen:
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. - Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. - Botond Fazekas, Alexander Schindler, Thomas Lidy, Andreas Rauber:
A Multi-modal Deep Neural Network approach to Bird-song identification. - Peetak Mitra:
Deep Learning Framework for Pedestrian Collision Avoidance System (PeCAS). - Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy:
ReDecode Framework for Iterative Improvement in Paraphrase Generation. - Mark Sh. Levin:
Time-interval balancing in multi-processor scheduling of composite modular jobs (preliminary description). - Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao:
Bridging Network Embedding and Graph Summarization. - Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas:
Machine Learning with Abstention for Automated Liver Disease Diagnosis. - Andrei Lissovoi, Pietro S. Oliveto:
Computational Complexity Analysis of Genetic Programming. - Zhen Li, Nicholas J. Meyer, Eric B. Laber, Robert T. Brigantic:
Thompson Sampling for Pursuit-Evasion Problems. - Anit Kumar Sahu, Shaunak Mishra, Narayan Bhamidipati:
Managing App Install Ad Campaigns in RTB: A Q-Learning Approach. - Martin P. Robillard, Kaylee Kutschera:
Lessons Learned in Migrating from Swing to JavaFX. - Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. - Sakil Barbhuiya, Zafeirios C. Papazachos, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
RADS: Real-time Anomaly Detection System for Cloud Data Centres. - Ulderico Fugacci, Federico Iuricich, Leila De Floriani:
Computing discrete Morse complexes from simplicial complexes. - Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga:
Multiple Subspace Alignment Improves Domain Adaptation. - Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. - Xuhong Li, Erik Leitinger, Magnus Oskarsson, Kalle Åström, Fredrik Tufvesson:
Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components. - Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu:
Product Title Refinement via Multi-Modal Generative Adversarial Learning. - Aaron Mishkin, Frederik Kunstner, Didrik Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan:
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient. - Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo:
An Interpretable Generative Model for Handwritten Digit Image Synthesis. - Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson:
Agent Embeddings: A Latent Representation for Pole-Balancing Networks. - Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda:
Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition. - Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling:
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network. - Janpreet Singh, Shashank Shekhar:
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN. - Pallav Kumar Bera, Rajesh Kumar, Can Isik:
Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning. - Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami:
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. - Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. - Yi-Guang Bai, Sanyang Liu, Ke Yin, Jing Yuan:
Variational Community Partition with Novel Network Structure Centrality Prior. - Zhenyue Qin, Jie Wu:
Visual Saliency Maps Can Apply to Facial Expression Recognition. - Liu Jiang, Shixia Liu, Changjian Chen:
Recent Research Advances on Interactive Machine Learning. - Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson:
Learning Latent Dynamics for Planning from Pixels. - Ali Gholami Rudi:
Approximate Curve-Restricted Simplification of Polygonal Curves. - Junhao Li:
HPS: A C++11 High Performance Serialization Library. - Diptapriyo Majumdar, Rian Neogi, Venkatesh Raman, S. Vaishali:
Tractability of Konig Edge Deletion Problems. - Manoj K. Raut:
An Algorithm for Computing Prime Implicates in Modal Logic. - Hiroshi Seki, Takaaki Hori, Shinji Watanabe:
Vectorization of hypotheses and speech for faster beam search in encoder decoder-based speech recognition. - Zhinan Cheng, Qun Huang, Patrick P. C. Lee:
On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance. - Long Hoang Nguyen, Zhou Yang, Jia Li, Guofeng Cao, Fang Jin:
Forecasting People's Needs in Hurricane Events from Social Network. - Khondokar Fida Hasan, Charles Wang, Yanming Feng, Yu-Chu Tian:
Time synchronization in vehicular ad-hoc networks: A survey ontheory and practice. - Nazim Uddin Sheikh, Hasina Rahman, Shashwat Vikram, Hamed AlQahtani:
A Lightweight Signature-Based IDS for IoT Environment. - Sergey Gordeychik, Denis Kolegov:
SD-WAN Threat Landscape. - Tung-Cheng Wu, Shau-Yin Tseng, Chin-Feng Lai, Chia-Yu Ho, Ying-Hsun Lai:
Navigating Assistance System for Quadcopter with Deep Reinforcement Learning. - Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu:
Differentiating Concepts and Instances for Knowledge Graph Embedding. - Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar:
Holistic Multi-modal Memory Network for Movie Question Answering. - Isamu Furuya, Takuya Takagi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Takuya Kida:
MR-RePair: Grammar Compression based on Maximal Repeats. - Huimin Xu, Da Xiao, Lingfei Wu, Chengjun Wang:
The Hidden Shape of Stories Reveals Positivity Bias and Gender Bias. - Zixiang Xu, Yiwei Zhang, Gennian Ge:
New Theoretical Bounds and Constructions of Permutation Codes under Block Permutation Metric. - Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan:
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. - Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun:
Learning Personalized End-to-End Goal-Oriented Dialog. - Venkatesan Guruswami, Runzhou Tao:
Streaming Hardness of Unique Games. - Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. - Tuvi Etzion, Sascha Kurz, Kamil Otal, Ferruh Özbudak:
Subspace Packings. - Ayumi Igarashi, Jakub Sliwinski, Yair Zick:
Forming Probably Stable Communities with Limited Interactions. - Hang Yang, Zhongbo Zhang:
Depth Image Upsampling based on Guided Filter with Low Gradient Minimization. - Vadim Popov, Mikhail A. Kudinov:
Fine-tuning of Language Models with Discriminator. - Jonathan Lim, Phillip Stanley-Marbell:
Newton: A Language for Describing Physics. - Zhen Chen, Anthimos Georgiadis:
Parameterized Synthetic Image Data Set for Fisheye Lens. - Yuichi Tanji:
Reciprocal and Positive Real Balanced Truncations for Model Order Reduction of Descriptor Systems. - Judith S. Heinisch, Christoph Anderson, Klaus David:
Angry or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild. - Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. - Jialin Dong, Yuanming Shi, Zhi Ding:
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow. - Lianping Yang, Bin Shao, Ting Sun, Song Ding, Xiangde Zhang:
Hallucinating very low-resolution and obscured face images. - Pablo Samuel Castro, Maria Attarian:
Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation. - Ivan Sekulic, Matej Gjurkovic, Jan Snajder:
Not Just Depressed: Bipolar Disorder Prediction on Reddit. - Kyrylo Malakhov, Oleksandr Kurgaev, Vitalii Velychko:
Modern RESTful API DLs and frameworks for RESTful web services API schema modeling, documenting, visualizing. - Namita Jain, Susmita Ghosh, Ashish Ghosh, C. A. Murthy:
Proprties of biclustering algorithms and a novel biclustering technique based on relative density. - Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos:
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. - Shashank Tiwari, Suvra Sekhar Das:
Design of Low Complexity GFDM Transceiver. - Kalapriya Kannan, Rema Ananthanarayanan, Sameep Mehta:
What is my data worth? From data properties to data value. - Arjun Roy, Kingshuk Basak, Asif Ekbal, Pushpak Bhattacharyya:
A Deep Ensemble Framework for Fake News Detection and Classification. - Karim Armanious, Sherif Abdulatif, Fady Aziz, Bernhard Kleiner, Bin Yang:
Towards Adversarial Denoising of Radar Micro-Doppler Signatures. - Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. - (Withdrawn) Bias Scheme Reducing Transient Currents and Speeding up Read Operations for 3-D Cross Point PCM.
- Xin Qin, Jyotirmoy V. Deshmukh:
Joint Probability Distribution of Prediction Errors of ARIMA. - Che-Ping Tsai, Hung-yi Lee:
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification. - Fernando Benites, Shervin Malmasi, Marcos Zampieri:
Classifying Patent Applications with Ensemble Methods. - Jindrich Helcl, Jindrich Libovický, Dusan Varis:
CUNI System for the WMT18 Multimodal Translation Task. - Joanna Rownicka, Peter Bell, Steve Renals:
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation. - Michael Chertkov, Yury Maximov:
Gauges, Loops, and Polynomials for Partition Functions of Graphical Models. - Jindrich Libovický, Jindrich Helcl, David Marecek:
Input Combination Strategies for Multi-Source Transformer Decoder. - Jindrich Libovický, Jindrich Helcl:
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. - Zhongliang Yang, Shuyu Jin, Yongfeng Huang, Yujin Zhang, Hui Li:
Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding. - Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri:
Universal Marginalizer for Amortised Inference and Embedding of Generative Models. - Shengwei Chen, Yanyan Shen, Yanmin Zhu:
Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction. - Steve Jeffrey Tueno Fotso, Marc Frappier, Régine Laleau, Amel Mammar, Héctor Ruíz Barradas:
The Generic SysML/KAOS Domain Metamodel. - Walid Hachem, Adrien Hardy, Shlomo Shamai:
Mutual Information of Wireless Channels and Block-Jacobi Ergodic Operators. - Jay F. Lofstead, Joshua Baker, Andrew Younge:
Data Pallets: Containerizing Storage For Reproducibility and Traceability. - Xiaolei Ma, Yi Li, Zhiyong Cui, Yinhai Wang:
Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models. - Hongyi Huang:
Reimplementation and Reinterpretation of the Copycat Project. - Tim Pfeifer, Peter Protzel:
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. - Andrew A. Kennings:
Simple FPGA routing graph compression. - Jarek Duda:
Gaussian Auto-Encoder. - Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Learning Representations of Missing Data for Predicting Patient Outcomes. - George B. Mertzios, Hendrik Molter, Viktor Zamaraev:
Sliding Window Temporal Graph Coloring. - Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski:
Deep-learning the Latent Space of Light Transport. - Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-based filtrations. - Gherardo Varando, Concha Bielza, Pedro Larrañaga, Eva Riccomagno:
Markov Property in Generative Classifiers. - Steven Gratton:
Quantum Reasoning using Lie Algebra for Everyday Life (and AI perhaps...). - Yue Chen, Kevin C. Galloway, Isuru S. Godage:
Efficient Reduced-Order Models for Soft Actuators. - Mingyang Geng, Kele Xu, Bo Ding, Huaimin Wang, Lei Zhang:
Learning data augmentation policies using augmented random search. - H. T. Kung, Bradley McDanel, Sai Qian Zhang:
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. - Ankit V. Manerikar, Tanmay Prakash, Avinash C. Kak:
Adaptive Target Recognition: A Case Study Involving Airport Baggage Screening. - Emma Strubell, Andrew McCallum:
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? - Xingjian Li, Jun Fang, Huiping Duan, Zhi Chen, Hongbin Li:
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach. - Heng Fan, Peng Chu, Longin Jan Latecki, Haibin Ling:
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection. - Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt:
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. - Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. - Mieczyslaw A. Klopotek:
Mathematical Theory of Evidence Versus Evidence. - Rajiv Sambasivan, Sourish Das, Sujit K. Sahu:
A Bayesian Perspective of Statistical Machine Learning for Big Data. - Mieczyslaw A. Klopotek:
Reasoning From Data in the Mathematical Theory of Evidence. - Alan T. Sherman, Enis Golaszewski, Edward LaFemina, Ethan Goldschen, Mohammed Khan, Lauren Mundy, Mykah Rather, Bryan Solis, Wubnyonga Tete, Edwin Valdez, Brian Weber, Damian Doyle, Casey O'Brien, Linda Oliva, Joseph Roundy, Jack Suess:
The SFS Summer Research Study at UMBC: Project-Based Learning Inspires Cybersecurity Students. - Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala, Kirsten Crager, Jibo He, Heena Rathore:
A Practical Framework for Preventing Distracted Pedestrian-related Incidents using Wrist Wearables. - Wolfgang Faber, Michael Morak, Stefan Woltran:
Strong Equivalence for Epistemic Logic Programs Made Easy (Extended Version). - Vikraman Arvind, Frank Fuhlbrück, Johannes Köbler, Oleg Verbitsky:
On Weisfeiler-Leman Invariance: Subgraph Counts and Related Graph Properties. - Mark Chilenski, George Cybenko, Isaac Dekine, Piyush Kumar, Gil Raz:
Observability Properties of Colored Graphs. - Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images. - Jessa Bekker, Jesse Davis:
Learning From Positive and Unlabeled Data: A Survey. - Ankit Manerikar, Tamer Shamseldin, Ayman Habib:
SLAM-Assisted Coverage Path Planning for Indoor LiDAR Mapping Systems. - Max I. Kanovich, Tajana Ban Kirigin, Vivek Nigam, Andre Scedrov, Carolyn L. Talcott:
Compliance in Real Time Multiset Rewriting Models. - Alexander Golovnev, Alexander S. Kulikov:
Circuit Depth Reductions. - Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang:
Quantum-inspired sublinear classical algorithms for solving low-rank linear systems. - Flávio S. Corrêa da Silva, Frederico P. Costa, Antonio F. Iemma:
On the practice of classification learning for clinical diagnosis and therapy advice in oncology. - He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-shot Learning. - Genevieve Gorrell, Xingyi Song, Angus Roberts:
Bio-YODIE: A Named Entity Linking System for Biomedical Text. - Ioannis Athanasiadis, Panagiotis Mousouliotis, Loukas Petrou:
A Framework of Transfer Learning in Object Detection for Embedded Systems. - Sathyanarayanan N. Aakur, Sudeep Sarkar:
A Perceptual Prediction Framework for Self Supervised Event Segmentation. - Rama Akkiraju, Vibha Sinha, Anbang Xu, Jalal Mahmud, Pritam Gundecha, Zhe Liu, Xiaotong Liu, John Schumacher:
Characterizing machine learning process: A maturity framework. - Ayumi Igarashi, Dominik Peters:
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints. - Junhao Li:
Comparing Spark vs MPI/OpenMP On Word Count MapReduce. - Tanya Chowdhury, Tanmoy Chakraborty:
CQASUMM: Building References for Community Question Answering Summarization Corpora. - Zhao Wang, Aron Culotta:
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation. - Ritwik Gupta, Carson D. Sestili, Javier A. Vazquez-Trejo, Matthew E. Gaston:
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery. - Po-Ming Law, Yanhong Wu, Rahul C. Basole:
Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts. - Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
TED: Teaching AI to Explain its Decisions. - Ruizhi Li, Xiaofei Wang, Sri Harish Reddy Mallidi, Takaaki Hori, Shinji Watanabe, Hynek Hermansky:
Multi-encoder multi-resolution framework for end-to-end speech recognition. - Lei Xu, Lin Chen, Zhimin Gao, Shouhuai Xu, Weidong Shi:
Efficient Public Blockchain Client for Lightweight Users. - Xiaofei Wang, Ruizhi Li, Sri Harish Mallidi, Takaaki Hori, Shinji Watanabe, Hynek Hermansky:
Stream attention-based multi-array end-to-end speech recognition. - Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. - András Gilyén, Seth Lloyd, Ewin Tang:
Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension. - Sophia Collet, Robert Dadashi, Zahi N. Karam, Chang Liu, Parinaz Sobhani, Yevgeniy Vahlis, Jichao Zhang:
Boosting Model Performance through Differentially Private Model Aggregation. - Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor:
Online Timely Status Updates with Erasures for Energy Harvesting Sensors. - Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang:
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. - Anastasios K. Papazafeiropoulos, Tharmalingam Ratnarajah:
Modeling and Performance of Uplink Cache-Enabled Massive MIMO Heterogeneous Networks. - Marius Buliga:
Molecular computers. - Yihe Huang, Hao Bai, Eddie Kohler, Barbara Liskov, Liuba Shrira:
The Impact of Timestamp Granularity in Optimistic Concurrency Control. - Soheil Ghili, Ehsan Kazemi, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. - Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. - Samyak Parajuli, Aswin Raghavan, Sek M. Chai:
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks. - Chenxu Luo, Xiao Chu, Alan L. Yuille:
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. - Isuru S. Godage, Yue Chen, Ian D. Walker:
Dynamic Control of Pneumatic Muscle Actuators. - Liwei Guo, Shuang Zhai, Yi Qiao, Felix Xiaozhu Lin:
Transkernel: An Executor for Commodity Kernels on Peripheral Cores. - Danielle Gonzalez, Suzanne Prentice, Mehdi Mirakhorli:
A Fine-Grained Approach for Automated Conversion of JUnit Assertions to English. - Eric K. Tokuda, Yitzchak Lockerman, Gabriel B. A. Ferreira, Ethan Sorrelgreen, David Boyle, Roberto M. Cesar Jr., Cláudio T. Silva:
A new approach for pedestrian density estimation using moving sensors and computer vision. - David Kozhaya, Ognjen Maric, Yvonne-Anne Pignolet:
You Only Live Multiple Times: A Blackbox Solution for Reusing Crash-Stop Algorithms In Realistic Crash-Recovery Settings. - Jan Overgoor, Austin R. Benson, Johan Ugander:
Choosing to grow a graph: Modeling network formation as discrete choice. - Long Hoang Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin:
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. - Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron C. Courville:
Blindfold Baselines for Embodied QA. - Rongcheng Lin, Jing Xiao, Jianping Fan:
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification. - Sanaz Bahargam, Behzad Golshan, Theodoros Lappas, Evimaria Terzi:
A Team-Formation Algorithm for Faultline Minimization. - Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. - Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu:
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. - Deeparnab Chakrabarty, Chaitanya Swamy:
Approximation Algorithms for Minimum Norm and Ordered Optimization Problems. - Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou:
Generating faces for affect analysis. - Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello:
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering. - Charles C. Margossian:
A Review of automatic differentiation and its efficient implementation. - Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Finding All Bayesian Network Structures within a Factor of Optimal. - Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan:
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. - Felix G. Hamza-Lup, Marcel Maghiar:
Web3D Graphics enabled through Sensor Networks for Cost-Effective Assessment and Management of Energy Efficiency in Buildings. - Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah, Abolfazl Razi, Jonathan D. Ashdown:
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning. - Matthew Moore:
Finite degree clones are undecidable. - Edgar Bolívar, Siavash Rezazadeh, Robert D. Gregg:
Minimizing Energy Consumption and Peak Power of Series Elastic Actuators: a Convex Optimization Framework for Elastic Element Design. - Chandrasekaran Anirudh Bhardwaj, Megha Mishra, Kalyani Desikan:
Dynamic Feature Scaling for K-Nearest Neighbor Algorithm. - Peter Mathews, Caitlin Gray, Lewis Mitchell, Giang T. Nguyen, Nigel G. Bean:
SMERC: Social media event response clustering using textual and temporal information. - Fei Pan, Hans-Arno Jacobsen:
PanJoin: A Partition-based Adaptive Stream Join. - John Benhart, Tianlin Duan, Peter Hase, Liuyi Zhu, Cynthia Rudin:
Shall I Compare Thee to a Machine-Written Sonnet? An Approach to Algorithmic Sonnet Generation. - David Balaban, John Cooper, Erik Komendera:
Inverse Kinematics and Sensitivity Minimization of an n-Stack Stewart Platform. - Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. - Dazhu Li:
Losing Connection: Modal Logic of Definable Link Deletion. - Victor Eijkhout:
Task Graph Transformations for Latency Tolerance. - Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. - Abbas Ganji, Scott B. Miles:
Toward Human-Centered Simulation Modeling for Critical Infrastructure Disaster Recovery Planning. - Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Domain Agnostic Real-Valued Specificity Prediction. - Curtis Bright, Dragomir Z. Djokovic, Ilias S. Kotsireas, Vijay Ganesh:
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples. - Sergül Aydöre, Lee H. Dicker, Dean P. Foster:
A Local Regret in Nonconvex Online Learning. - Senmao Wang, Pan Zhou, Wei Chen, Jia Jia, Lei Xie:
Exploring RNN-Transducer for Chinese Speech Recognition. - John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. - Boya Di, Hongliang Zhang, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
Ultra-dense LEO: Integrating Terrestrial-Satellite Networks into 5G and Beyond for Data Offloading. - Yutaka Nakai, Hiroki Takikawa:
Triadic Social Structure Facilitates Backing for Crowdfunding Projects. - Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, Alzheimer's Disease Neuroimaging Initiative:
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks. - Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo:
Interpreting Models by Allowing to Ask. - Jinho Choi:
A Variational Inference based Detection Method for Repetition Coded Generalized Spatial Modulation. - Jiawei Hou, Yijun Yuan, Sören Schwertfeger:
Topological Area Graph Generation and its Application to Path Planning. - Kshitij Gajjar, Jaikumar Radhakrishnan:
Parametric Shortest Paths in Planar Graphs. - Garry Pantelis:
Programs as the Language of Science. - Zezheng Wang, Chenxu Zhao, Yunxiao Qin, Qiusheng Zhou, Zhen Lei:
Exploiting temporal and depth information for multi-frame face anti-spoofing. - Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu:
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks. - Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik:
Multi-unit Bilateral Trade. - Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui:
Community Exploration: From Offline Optimization to Online Learning. - (Withdrawn) Co-Representation Learning For Classification and Novel Class Detection via Deep Networks.
- Aritra Chatterjee, Sandeep Mukherjee, Suvra Sekhar Das:
Spectral Efficiency Analysis in Presence of Correlated Gamma-Lognormal Desired and Interfering Signals. - Satyajit Kamble, Aditya Joshi:
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models. - Kairan Yang, Feng Geng:
Application of Faster R-CNN model on Human Running Pattern Recognition. - Behrooz Makki, Tommy Svensson, Giuseppe Caire, Michele Zorzi:
Fast HARQ over Finite Blocklength Codes: A Technique for Low-Latency Reliable Communication. - Branislav Kveton, Csaba Szepesvári, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore:
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. - Behrooz Makki, Tommy Svensson, Mohamed-Slim Alouini:
On the Throughput of Large-but-Finite MIMO Networks using Schedulers. - Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen:
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. - Kristóf Bérczi, Endre Boros, Ondrej Cepek, Petr Kucera, Kazuhisa Makino:
Approximating minimum representations of key Horn functions. - Bapi Kar, Susmita Sur-Kolay, Chittaranjan A. Mandal:
Exploring the Scope of Unconstrained Via Minimization by Recursive Floorplan Bipartitioning. - Jianqing Zhu, Huanqiang Zeng, Jingchang Huang, Shengcai Liao, Zhen Lei, Canhui Cai, Lixin Zheng:
Vehicle Re-identification Using Quadruple Directional Deep Learning Features. - Kensen Shi, Jacob Steinhardt, Percy Liang:
FrAngel: Component-Based Synthesis with Control Structures. - Mumtaz A. Kaloi, Kun He:
Child Gender Determination with Convolutional Neural Networks on Hand Radio-Graphs. - Buyu Li, Yu Liu, Xiaogang Wang:
Gradient Harmonized Single-stage Detector. - Silvia Rossi, Francesca De Simone, Pascal Frossard, Laura Toni:
Spherical clustering of users navigating 360° content. - Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. - Rajai Nasser:
On the Polarization Levels of Automorphic-Symmetric Channels. - Guoping Long, Jun Yang, Kai Zhu, Wei Lin:
FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs. - Hiroaki Mikami, Hisahiro Suganuma, Pongsakorn U.-Chupala, Yoshiki Tanaka, Yuichi Kageyama:
ImageNet/ResNet-50 Training in 224 Seconds. - Benny Van Houdt:
Global attraction of ODE-based mean field models with hyperexponential job sizes. - Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo:
A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling. - Yonghyun Kim, Taewook Kim, Bong-Nam Kang, Jieun Kim, Daijin Kim:
BAN: Focusing on Boundary Context for Object Detection. - Rory McGrath, Luca Costabello, Chan Le Van, Paul Sweeney, Farbod Kamiab, Zhao Shen, Freddy Lécué:
Interpretable Credit Application Predictions With Counterfactual Explanations. - Ruchao Fan, Pan Zhou, Wei Chen, Jia Jia, Gang Liu:
An Online Attention-based Model for Speech Recognition. - Louis Kirsch, Julius Kunze, David Barber:
Modular Networks: Learning to Decompose Neural Computation. - Pan Zhou, Wenwen Yang, Wei Chen, Yanfeng Wang, Jia Jia:
Modality Attention for End-to-End Audio-visual Speech Recognition. - Yuzhou Li, Pengcheng Xie, Zeshen Tang, Tao Jiang:
SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach. - Shiyang Yan, Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Bailing Zhang:
Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization. - Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung:
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation. - Manaar Alam, Debdeep Mukhopadhyay:
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering? - Jean-Marc Andreoli:
A conjugate prior for the Dirichlet distribution. - Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection using Autoencoders in High Performance Computing Systems. - Rastin Matin, Casper Hansen, Christian Hansen, Pia Mølgaard:
Predicting Distresses using Deep Learning of Text Segments in Annual Reports. - Ernst-Georg Schmid:
Right to Sign: Safeguarding data immutability in blockchain systems with cryptographic signatures over a broad range of available consensus finding scenarios. - Larry Bull, Neil Phillips:
Towards the Design of Aerostat Wind Turbine Arrays through AI. - Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz Rodríguez:
Intelligent Drone Swarm for Search and Rescue Operations at Sea. - Lei Jiang, Xiaojun Wu, Josef Kittler:
Pose Invariant 3D Face Reconstruction. - Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni:
SAFE: Self-Attentive Function Embeddings for Binary Similarity. - Esteban Quintero, Mateo Sanchez, Nicolas Roldan, Mauricio Toro:
Genetic algorithm for optimal distribution in cities. - Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. - Denis Lukovnikov, Nilesh Chakraborty, Jens Lehmann, Asja Fischer:
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters. - Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng, Juan-Ting Lin, Shang-Ta Yang, Meng-Li Shih, Hung-Kuo Chu, Min Sun:
Self-Supervised Learning of Depth and Camera Motion from 360° Videos. - Yong Wang:
Relation of Web Service Orchestration, Abstract Process, Web Service and Choreography. - Qingwen Xu, Arturo Gomez Chavez, Heiko Bülow, Andreas Birk, Sören Schwertfeger:
Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras. - Takuma Imamura:
On the extreme power of nonstandard programming languages. - Rawan Alghamdi, Nasir Saeed, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
On Distributed Routing in Underwater Optical Wireless Sensor Networks. - Robert Owusu-Mireku, H.-D. Chiang:
Robustness of the Closest Unstable Equilibrium Point Along a P-V Curve. - Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. - Ling Zhao, Yujiao Song, Min Deng, Haifeng Li:
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method. - Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Correction of AI systems by linear discriminants: Probabilistic foundations. - Su-Jin Lee, Soon-Seo Park, Han-Lim Choi:
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. - Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng:
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. - Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger:
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. - Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. - Ksenia Zhagorina, Pavel Braslavski, Vladimir V. Gusev:
Personal Names Popularity Estimation and its Application to Record Linkage. - Chun-Wei Chiang, Anna Kasunic, Saiph Savage:
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. - Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou:
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. - Abhishek Divekar, Meet Parekh, Vaibhav Savla, Rudra Mishra, Mahesh Shirole:
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives. - Martin Fixman, Martin Minnoni, Carlos Sarraute:
Comparison of Feature Extraction Methods and Predictors for Income Inference. - Jinwen Wang, Yueqiang Cheng, Qi Li, Yong Jiang:
Interface-Based Side Channel Attack Against Intel SGX. - Cem Anil, James Lucas, Roger B. Grosse:
Sorting out Lipschitz function approximation. - Jaime Pulido Fentanes, Amir Badiee, Tom Duckett, Jonathan Evans, Simon Pearson, Grzegorz Cielniak:
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a Cosmic-Ray Sensor. - Qipeng Liu, Mark Zhandry:
On Finding Quantum Multi-collisions. - (Withdrawn) Optimizing Multi-hop Mechanism for the Long Range Wide Area Network.
- Chun-Liang Li, Eunsu Kang, Songwei Ge, Lingyao Zhang, Austin Dill, Manzil Zaheer, Barnabás Póczos:
Hallucinating Point Cloud into 3D Sculptural Object. - Cyril Nguyen Van Phu, Nadir Farhi:
Estimation of urban traffic state with probe vehicles. - Sara Scaramuccia, Federico Iuricich, Leila De Floriani, Claudia Landi:
Computing multiparameter persistent homology through a discrete Morse-based approach. - Xing Wei, Carsten Eickhoff:
Embedding Electronic Health Records for Clinical Information Retrieval. - Kleber Vieira, Fernando Koch, João Bosco Mangueira Sobral, Carlos Becker Westphall, Jorge Lopes de Souza Leao:
Autonomic Intrusion Response in Distributed Computing using Big Data. - Abhinav Rastogi, Raghav Gupta, Dilek Hakkani-Tür:
Multi-task learning for Joint Language Understanding and Dialogue State Tracking. - Viatcheslav A. Ilyin, Alexander P. Kryukov:
ATENSOR - REDUCE program for tensor simplification. - Jezdimir Milosevic, Henrik Sandberg, Karl Henrik Johansson:
Estimating the Impact of Cyber-Attack Strategies for Stochastic Control Systems. - Siavash Rezazadeh, David Quintero, Nikhil Divekar, Emma Reznick, Leslie Gray, Robert D. Gregg:
A Phase Variable Approach for Improved Volitional and Rhythmic Control of a Powered Knee-Ankle Prosthesis. - Lili Tao, Timothy Volonakis, Bo Tan, Yanguo Jing, Kevin Chetty, Melvyn L. Smith:
Home Activity Monitoring using Low Resolution Infrared Sensor. - Feng Zhang, Xiatian Zhu, Mao Ye:
Fast Human Pose Estimation. - Warren Del-Pinto, Renate A. Schmidt:
ABox Abduction via Forgetting in ALC (Long Version). - Carlo A. Furia, Robert Feldt, Richard Torkar:
Bayesian Data Analysis in Empirical Software Engineering Research. - Jiangfan Zhang, Xiaodong Wang:
Quickest Detection of Time-Varying False Data Injection Attacks in Dynamic Linear Regression Models. - Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object Centric Policies for Autonomous Driving. - Luis Felipe da Cruz Figueredo, Bruno Vilhena Adorno, João Yoshiyuki Ishihara:
Robust H-infinity kinematic control of manipulator robots using dual quaternion algebra. - Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni:
Argumentation for Explainable Scheduling (Full Paper with Proofs). - Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez:
Very Hard Electoral Control Problems. - Claudio Canella, Jo Van Bulck, Michael Schwarz, Moritz Lipp, Benjamin von Berg, Philipp Ortner, Frank Piessens, Dmitry Evtyushkin, Daniel Gruss:
A Systematic Evaluation of Transient Execution Attacks and Defenses. - Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell:
Co-regularized Alignment for Unsupervised Domain Adaptation. - Yipeng Huang, Margaret Martonosi:
QDB: From Quantum Algorithms Towards Correct Quantum Programs. - Muhammad Abdul Wahab, Pascal Cotret, Mounir Nasr Allah, Guillaume Hiet, Vianney Lapotre, Guy Gogniat:
Towards a hardware-assisted information flow tracking ecosystem for ARM processors. - Jade Z. Abbott, Laura Martinus:
Towards Neural Machine Translation for African Languages. - Maximilian Hofer, Andrey Kormilitzin, Paul W. Goldberg, Alejo J. Nevado-Holgado:
Few-shot Learning for Named Entity Recognition in Medical Text. - Marius Beul, Matthias Nieuwenhuisen, Jan Quenzel, Radu Alexandru Rosu, Jannis Horn, Dmytro Pavlichenko, Sebastian Houben, Sven Behnke:
Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs. - Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. - Kai Wan, Daniela Tuninetti, Mingyue Ji, Giuseppe Caire:
Novel Inter-file Coded Placement and D2D Delivery for a Cache-aided Fog-RAN Architecture. - Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause:
Evaluating GANs via Duality. - Mandar Kulkarni:
Deep Q learning for fooling neural networks. - Marco Cuturi, Gabriel Peyré:
Semi-dual Regularized Optimal Transport. - Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov:
Heuristic Voting as Ordinal Dominance Strategies. - Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. - Evagoras Makridis, Kyriakos M. Deliparaschos, Evangelia Kalyvianaki, Argyrios C. Zolotas, Themistoklis Charalambous:
Robust Dynamic CPU Resource Provisioning in Virtualized Servers. - Brandon M. Williams, Saverio Perugini:
Staging Human-computer Dialogs: An Application of the Futamura Projections. - Ahmed Nazim Uddin, Md. Ashequr Rahman, Md. Rafidul Islam, Mohammad Ariful Haque:
Native Language Identification using i-vector. - Aran Komatsuzaki:
Extractive Summary as Discrete Latent Variables. - Dichao Hu:
An Introductory Survey on Attention Mechanisms in NLP Problems. - Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Information Extraction. - Pablo F. Castro, Pedro R. D'Argenio, Ramiro Demasi, Luciano Putruele:
Measuring Masking Fault-Tolerance. - Michel Gagnon, Amal Zouaq, Francisco Aranha, Faezeh Ensan, Ludovic Jean-Louis:
An Analysis of the Semantic Annotation Task on the Linked Data Cloud. - Lamtharn Hantrakul, Li-Chia Yang:
Neural Wavetable: a playable wavetable synthesizer using neural networks. - Eleanor Chodroff:
Corpus Phonetics Tutorial. - Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang:
Text Assisted Insight Ranking Using Context-Aware Memory Network. - Asmelash Teka Hadgu:
Cross-lingual Short-text Matching with Deep Learning. - Juan Heredia Juesas, Ali Molaei, Luis Tirado, Jose A. Martinez-Lorenzo:
Consensus and Sectioning-based ADMM with Norm-1 Regularization for Imaging with a Compressive Reflector Antenna. - Pedro Saleiro, Benedict Kuester, Abby Stevens, Ari Anisfeld, Loren Hinkson, Jesse London, Rayid Ghani:
Aequitas: A Bias and Fairness Audit Toolkit. - Gudi Siva Leela Krishna Chand, Suman Ojha, Benjamin Johnston, Jesse Clark, Mary-Anne Williams:
Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction. - Jonathan Pedoeem, Rachel Huang:
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers. - Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir:
Emergence of Addictive Behaviors in Reinforcement Learning Agents. - Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér:
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. - Vahid Behzadan, James Minton, Arslan Munir:
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. - Ajay Kumar Eeralla, Christopher Lynch:
Bounded ACh Unification. - Sammie Katt, Frans A. Oliehoek, Christopher Amato:
Bayesian Reinforcement Learning in Factored POMDPs. - Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. - Shanchan Wu, Kai Fan, Qiong Zhang:
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. - Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones:
Multi-level analysis of compiler induced variability and performance tradeoffs. - Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Style and Content Disentanglement in Generative Adversarial Networks. - Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran:
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats. - Wen Shen, Yang Feng, Cristina V. Lopes:
Multi-Winner Contests for Strategic Diffusion in Social Networks. - Kui Fu, Jia Li, Hongze Shen, Yonghong Tian:
How Drones Look: Crowdsourced Knowledge Transfer for Aerial Video Saliency Prediction. - Mehrdad Tahmasbi, Matthieu R. Bloch:
A framework for covert and secret key expansion over quantum channels. - Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu:
Translating a Math Word Problem to an Expression Tree. - Yunseo Nam, Heedong Do, Yo-Seb Jeon, Namyoon Lee:
On the Capacity of MISO Channels with One-Bit ADCs and DACs. - Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li:
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. - Yizheng Liao, Yang Weng, Chin-Woo Tan, Ram Rajagopal:
Fast Distribution Grid Line Outage Identification with μPMU. - Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization Over Streams with Inhomogeneous Decays. - Sandeep Juneja, Subhashini Krishnasamy:
Sample complexity of partition identification using multi-armed bandits. - Alexander Gribov:
An Efficient Combinatorial Algorithm for Optimal Compression of a Polyline with Segments and Arcs. - Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar:
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. - Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet:
Massive MIMO channel estimation taking into account spherical waves. - Ying-Ying Yu, Hui Ma, Chun-Gang Zhu:
Total Positivity of A Kind of Generalized Toric-Bernstein Basis. - Gina Belmonte, Vincenzo Ciancia, Diego Latella, Mieke Massink:
VoxLogicA: a Spatial Model Checker for Declarative Image Analysis (Extended Version). - Jiang Zhu, Qi Zhang, Xiangming Meng:
Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples. - Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang:
Modeling Coherence for Discourse Neural Machine Translation. - Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. - Yixing Guan, Jinyu Zhao, Yiqin Qiu, Zheng Zhang, Gus Xia:
Melodic Phrase Segmentation By Deep Neural Networks. - Aiqi Jiang, Arkaitz Zubiaga:
Leveraging Aspect Phrase Embeddings for Cross-Domain Review Rating Prediction. - Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-task Regression on Massive Number of Tasks. - Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi:
Generating Multiple Diverse Responses for Short-Text Conversation. - Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. - Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan:
Plan-And-Write: Towards Better Automatic Storytelling. - Zimin Chen, Martin Monperrus:
The Remarkable Role of Similarity in Redundancy-based Program Repair. - Denis Demidov:
AMGCL: an Efficient, Flexible, and Extensible Algebraic Multigrid Implementation. - M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. - Yufang Hou:
A Deterministic Algorithm for Bridging Anaphora Resolution. - Umberto Straccia:
An Introduction to Fuzzy & Annotated Semantic Web Languages. - Boaz Shuval, Ido Tal:
Universal Polarization for Processes with Memory. - Christoph Hube, Besnik Fetahu:
Neural Based Statement Classification for Biased Language. - Lei Gao, Xingquan Liu, Yu Liu, Pu Wang, Min Deng, Qing Zhu, Haifeng Li:
Measuring Road Network Topology Vulnerability by Ricci Curvature. - Joseph Y. Halpern, Evan Piermont:
Partial Awareness. - Martin Bäker:
How to get meaningful and correct results from your finite element model. - Manuel Martínez, Joan Serra-Sagristà:
Rice-Marlin Codes: Tiny and Efficient Variable-to-Fixed Codes. - Tharindu Rukshan Bandaragoda, Daswin De Silva, Damminda Alahakoon:
Automatic event detection in microblogs using incremental machine learning. - Shaun D'Souza:
Parser Extraction of Triples in Unstructured Text. - Bob Coecke, Martha Lewis, Dan Marsden:
Internal Wiring of Cartesian Verbs and Prepositions. 75-88 - Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri:
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices. - Christian Bartz, Haojin Yang, Joseph Bethge, Christoph Meinel:
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. - Nelson Fernández:
Two-stream convolutional networks for end-to-end learning of self-driving cars. - Robin Spiess, Felix Berkenkamp, Jan Poland, Andreas Krause:
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. - Mahesh Babu Vaddi, B. Sundar Rajan:
Optimal Scalar Linear Index Codes for Symmetric and Neighboring Side-information Problems. - Benjamin Biggs, Thomas Roddick, Andrew W. Fitzgibbon, Roberto Cipolla:
Creatures great and SMAL: Recovering the shape and motion of animals from video. - Ludovic Stephan, Laurent Massoulié:
Robustness of spectral methods for community detection. - Sandip Das, Swami Sarvottamananda:
Computing the Minkowski Sum of Convex Polytopes in Rd. - Johannes Oetsch, Juan Carlos Nieves:
A Knowledge Representation Perspective on Activity Theory. - Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. - Md Tahmid Hossain, Shyh Wei Teng, Dengsheng Zhang, Suryani Lim, Guojun Lu:
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform. - Su Chang, Xu Zhenzhong, Gao Xuan:
Fake Comment Detection Based on Sentiment Analysis. - Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. - Haiqing Zhang, Aicha Sekhari, Yacine Ouzrout, Abdelaziz Bouras:
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features. - (Withdrawn) Long Range Wide Area Network: A Simulation Module for ns-3.
- Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari:
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets. - Frederico C. Vaz, David Portugal, André G. Araújo, Micael S. Couceiro, Rui P. Rocha:
A localization approach for autonomous underwater vehicles: A ROS-Gazebo framework. - Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda:
A Learning-Based Framework for Line-Spectra Super-resolution. - Senwei Liang, Yuehaw Khoo, Haizhao Yang:
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. - Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. - (Withdrawn) Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices.
- Lemei Huang, Yu Guan, Xinggong Zhang, Zongming Guo:
UtilCache: Effectively and Practicably Reducing Link Cost in Information-Centric Network. - Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann:
Pitfalls of Graph Neural Network Evaluation. - Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-scale Interactive Recommendation with Tree-structured Policy Gradient. - Dian Mo, Marco F. Duarte:
Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation. - Grigoriy Volkov, Mikhail U. Mandrykin, Denis Efremov:
Lemma Functions for Frama-C: C Programs as Proofs. - Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller:
Dependency Grammar Induction with a Neural Variational Transition-based Parser. - Alexander Kozlov, Daniil Osokin:
Development of Real-time ADAS Object Detector for Deployment on CPU. - Miguel de Prado, Maurizio Denna, Luca Benini, Nuria Pazos:
QUENN: QUantization Engine for low-power Neural Networks. - Michael Bossetta:
A Simulated Cyberattack on Twitter: Assessing Partisan Vulnerability to Spear Phishing and Disinformation ahead of the 2018 U.S. Midterm Elections. - Gerard Llorach, Josep Blat:
Say Hi to Eliza. An Embodied Conversational Agent on the Web. - Mohamed Baza, Mahmoud Nabil, Noureddine Lasla, Kemal Fidan, Mohamed Mahmoud, Mohamed M. Abdallah:
Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles. - Alberto Poncelas, Andy Way, Kepa Sarasola:
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task. - Benjamin Naujoks, Patrick Burger, Hans-Joachim Wuensche:
The Greedy Dirichlet Process Filter - An Online Clustering Multi-Target Tracker. - Neil Olver, Frans Schalekamp, Suzanne van der Ster, Leen Stougie, Anke van Zuylen:
A Duality Based 2-Approximation Algorithm for Maximum Agreement Forest. - Assaf Eisenman, Maxim Naumov, Darryl Gardner, Misha Smelyanskiy, Sergey Pupyrev, Kim M. Hazelwood, Asaf Cidon, Sachin Katti:
Bandana: Using Non-volatile Memory for Storing Deep Learning Models. - Jiashun Jin, Zheng Tracy Ke, Shengming Luo:
SCORE+ for Network Community Detection. - Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin:
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. - Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo:
Evolving intrinsic motivations for altruistic behavior. - Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Streaming Network Embedding through Local Actions. - Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani:
Domain Randomization for Scene-Specific Car Detection and Pose Estimation. - Bingqing Shen, Jingzhi Guo:
Virtual Net: a Decentralized Architecture for Interaction in Mobile Virtual Worlds. - Adam Rapley, Xavier J. A. Bellekens, Lynsay A. Shepherd, Colin McLean:
Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis. - Anirban Das, Stacy Patterson, Mike P. Wittie:
EdgeBench: Benchmarking Edge Computing Platforms. - Marek Rei, Anders Søgaard:
Jointly Learning to Label Sentences and Tokens. - Baturalp Buyukates, Alkan Soysal, Sennur Ulukus:
Age of Information Scaling in Large Networks. - Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent:
Composing Modeling and Inference Operations with Probabilistic Program Combinators. - Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. - Kai Puolamäki, Andreas Henelius, Antti Ukkonen:
Randomisation Algorithms for Large Sparse Matrices. - Dmitriy Baranov, Gennady Ososkov, Pavel Goncharov, Andrei Tsytrinov:
Catch and Prolong: recurrent neural network for seeking track-candidates. - Nikhil Rangarajan, Satwik Patnaik, Johann Knechtel, Ramesh Karri, Ozgur Sinanoglu, Shaloo Rakheja:
Opening the Doors to Dynamic Camouflaging: Harnessing the Power of Polymorphic Devices. - Inês Nolasco, Emmanouil Benetos:
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition. - Cunxi Yu, Wang Zhou:
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning. - Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Incentivizing Exploration with Unbiased Histories. - Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles:
Verification of Recurrent Neural Networks Through Rule Extraction. - Victor Sanh, Thomas Wolf, Sebastian Ruder:
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks. - Amy Zhang, Yuxin Wu, Joelle Pineau:
Natural Environment Benchmarks for Reinforcement Learning. - Majid Dehghani, Peyman Karimyan, Mehradad Abedi, Hadis Karimipour:
Dynamic Behavior Control of Induction Motor with STATCOM. - Reza Abbasi-Asl, Mohammad Keshavarzi, Dorian Yao Chan:
Brain-Computer Interface in Virtual Reality. - Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad:
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. - Martin Kong, Louis-Noël Pouchet:
A Performance Vocabulary for Affine Loop Transformations. - Nachiket Deo, Mohan M. Trivedi:
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness. - Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. - Georgios Mastorakis:
Human-like machine learning: limitations and suggestions. - Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. - Fabrizio Banci Buonamici, Gina Belmonte, Vincenzo Ciancia, Diego Latella, Mieke Massink:
Spatial Logics and Model Checking for Medical Imaging (Extended Version). - Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar:
Interpretable deep learning for guided structure-property explorations in photovoltaics. - Mario Alvarez-Picallo, Alex Eyers-Taylor, Michael Peyton Jones, C.-H. Luke Ong:
Fixing Incremental Computation: Derivatives of Fixpoints, and the Recursive Semantics of Datalog. - Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. - Alejandra Diaz, Alan T. Sherman, Anupam Joshi:
Phishing in an Academic Community: A Study of User Susceptibility and Behavior. - Amin Hosseininasab, Willem-Jan van Hoeve, André Augusto Ciré:
Constraint-based Sequential Pattern Mining with Decision Diagrams. - Yang Yang, Anusha Lalitha, Jinwon Lee, Chris Lott:
Automatic Grammar Augmentation for Robust Voice Command Recognition. - Ron van der Meyden:
On the specification and verification of atomic swap smart contracts. - S. Asim Ahmed, Subhashish Chakravarty, Michael Newhouse:
Deep Neural Networks based Modrec: Some Results with Inter-Symbol Interference and Adversarial Examples. - Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly:
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. - Junxuan Li, Yung-wen Liu, Yuting Jia, Yifei Ren, Jay Nanduri:
Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control. - Takumi Takahashi, Antti Tölli, Shinsuke Ibi, Seiichi Sampei:
Layered Belief Propagation for Low-complexity Large MIMO Detection Based on Statistical Beams. - José R. Correa, Paul Dütting, Felix A. Fischer, Kevin Schewior:
Prophet Inequalities for Independent Random Variables from an Unknown Distribution. - Fergal Cotter, Nick G. Kingsbury:
Deep Learning in the Wavelet Domain. - Francisco José Valverde Albacete, Carmen Peláez-Moreno:
The case for shifting the Renyi Entropy. - Kai Li, Dong Hao:
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games. - Roman Snytsar:
Vectorized Character Counting for Faster Pattern Matching. - Yoshua Bengio, Andrea Lodi, Antoine Prouvost:
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon. - Christopher Slezak, Vasilii Semkin, Sergey Andreev, Yevgeni Koucheryavy, Sundeep Rangan:
Empirical Effects of Dynamic Human-Body Blockage in 60 GHz Communications. - Sabah Suhail, Mohammad M. Abdellatif, Shashi Raj Pandey, Abid Khan, Choong Seon Hong:
Provenance-enabled Packet Path Tracing in the RPL-based Internet of Things. - Hui-Ming Wang, Bing-Qing Zhao, Tong-Xing Zheng:
Adaptive Full-Duplex Jamming Receiver for Secure D2D Links in Random Networks. - Jing Shi, Jiaming Xu, Yiqun Yao, Bo Xu:
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks. - Liang Zhang, Gang Wang, Georgios B. Giannakis:
Real-time Power System State Estimation and Forecasting via Deep Neural Networks. - Rodger Benham, Joel M. Mackenzie, Alistair Moffat, J. Shane Culpepper:
Boosting Search Performance Using Query Variations. - Dave Moore, Maria I. Gorinova:
Effect Handling for Composable Program Transformations in Edward2. - Mincong Luo, Yin Tong, Jiachi Liu:
Orthogonal Policy Gradient and Autonomous Driving Application. - Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. - Yu Hao, Xien Liu, Ji Wu, Ping Lv:
Exploiting Sentence Embedding for Medical Question Answering. - Yevgeniy Vorobeychik, Michael Pritchard:
Plan Interdiction Games. - Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain:
Improving Skin Condition Classification with a Question Answering Model. - Tianchi Huang, Xin Yao, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun:
Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming. - Yuan Luo, Peter Szolovits:
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective. - Yizhen Zhong, Luke V. Rasmussen, Yu Deng, Jennifer A. Pacheco, Maureen E. Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua C. Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo:
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. - Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. - Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan:
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation. - Mojtaba Heidarysafa, James Reed, Kamran Kowsari, April Celeste R. Leviton, Janet I. Warren, Donald E. Brown:
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition. - Kaushal Bhogale, Nishant Shankar, Adheesh Juvekar, Asutosh Padhi:
Face Verification and Forgery Detection for Ophthalmic Surgery Images. - Vu Phi Tran, Matthew Garratt, Ian R. Petersen:
Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments. - Trung Le, Khanh Nguyen, Dinh Q. Phung:
Theoretical Perspective of Deep Domain Adaptation. - Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. - Vu Phi Tran, Matthew Garratt, Ian R. Petersen:
Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory. - Sang Won Bae, Arpita Baral, Priya Ranjan Sinha Mahapatra:
Maximum-Width Empty Square and Rectangular Annulus. - Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting:
Model-based Approximate Query Processing. - Sergey Pankov:
Reward-estimation variance elimination in sequential decision processes. - Meng Zhang, Youyi Zheng:
Hair-GANs: Recovering 3D Hair Structure from a Single Image. - James Wallbridge:
Jets and differential linear logic. - Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
SGR: Self-Supervised Spectral Graph Representation Learning. - Bartlomiej Dudek, Pawel Gawrychowski:
Computing Quartet Distance is Equivalent to Counting 4-Cycles. - Amandeep Singh Bhatia, Ajay Kumar:
McEliece Cryptosystem Based On Extended Golay Code. - Emanuele Parrinello, Ayse Ünsal, Petros Elia:
Fundamental Limits of Caching in Heterogeneous Networks with Uncoded Prefetching. - Suchi Kumari, Anurag Singh, Abhishek Saroha:
Network capacity enhancement with various link rewiring strategies. - Agostino Guarino, Davide Fiore, Mario di Bernardo:
In-silico Feedback Control of a MIMO Synthetic Toggle Switch via Pulse-Width Modulation. - Lars Buesing, Theophane Weber, Yori Zwols, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau, Nicolas Heess:
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. - Suchi Kumari, Anurag Singh:
Effect of correlations on routing and modeling of Time Varying Communication Networks. - Shachar Honig, Michael Werman:
Image declipping with deep networks. - Nina Tahmasebi, Lars Borin, Adam Jatowt:
Survey of Computational Approaches to Diachronic Conceptual Change. - Alexander P. Kryukov, Andrey Demichev:
Decentralized Data Storages: Technologies of Construction. - Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. - Levi Offen, Michael Werman:
Sketch based Reduced Memory Hough Transform. - Chen Du, Chunheng Wang, Cunzhao Shi, Baihua Xiao:
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector. - Paul Groth, Antony Scerri, Ron Daniel Jr., Bradley P. Allen:
End-to-End Learning for Answering Structured Queries Directly over Text. - David Berga, Xavier Otazu:
A Neurodynamic model of Saliency prediction in V1. - Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba, Thomas Merritt, Thomas Drugman, Srikanth Ronanki, Klimkov Viacheslav:
Effect of data reduction on sequence-to-sequence neural TTS. - Seyed Majid Azimi:
ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery. - Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter:
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. - Chen Zhang, Marta Molinas, Atle Rygg, Xu Cai:
Impedance Network of Interconnected Power Electronics Systems: Impedance Operator and Stability Criterion. - Inês Nolasco, Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Helen L. Bear, Emmanouil Benetos:
Audio-based identification of beehive states. - Tomoyuki Yamakami:
State Complexity Characterizations of Parameterized Degree-Bounded Graph Connectivity, Sub-Linear Space Computation, and the Linear Space Hypothesis. - Zahra Karevan, Johan A. K. Suykens:
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting. - Peeter Laud, Alisa Pankova, Martin Pettai:
Achieving Differential Privacy using Methods from Calculus. - (Withdrawn) Trilateration-based Multi-hop for the Long Range Wide Area Network.
- Zhiyuan Li, Min Jin, Qi Wu, Huaxiang Lu:
Deep Template Matching for Offline Handwritten Chinese Character Recognition. - Benjamin R. Epstein, Roy H. Olsson III:
Physical Signal Classification Via Deep Neural Networks. - Marcus Greiff, Zhiyong Sun, Anders Robertsson, Rolf Johansson:
Temporal viability regulation for control affine systems with applications to mobile vehicle coordination under time-varying motion constraints. - Thierry Moyaux, Eric Marcon:
Cost of selfishness in the allocation of cities in the Multiple Travelling Salesmen Problem. - Dharmendra Kumar Mishra, Sébastien Henry, Aicha Sekhari, Yacine Ouzrout:
Traceability as an integral part of supply chain logistics management: an analytical review. - Ahmed Al-Dallal:
Senior Project Management System: Requirements, Specification, and Design Issues. - Carlos Rodriguez, Thierry Garaix, Xiaolan Xie, Vincent Augusto:
Staff dimensioning in homecare services with uncertain demands. - Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton:
Cluster analysis of homicide rates in the Brazilian state of Goias from 2002 to 2014. - Duo Zhang, Erlend Skullestad Holland, Geir Lindholm, Harsha Ratnaweera:
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model. - Duo Zhang, Geir Lindholm, Harsha Ratnaweera:
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning. - Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdráhal, Annika Wolff:
Modelling student online behaviour in a virtual learning environment. - Jeremy Ko:
The Amortized Analysis of a Non-blocking Chromatic Tree. - Dima Grigoriev, Vladimir Shpilrain:
Tropical cryptography II: extensions by homomorphisms. - Meixin Zhu, Xuesong Wang, Andrew P. Tarko, Shou'en Fang:
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study. - Victoria Koh, Weihua Li, Giacomo Livan, Licia Capra:
Offline Biases in Online Platforms: a Study of Diversity and Homophily in Airbnb. - Bong-Nam Kang, Yonghyun Kim, Daijin Kim:
Pairwise Relational Networks using Local Appearance Features for Face Recognition. - Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo A. Pires, Toby Pohlen, Rémi Munos:
Neural Predictive Belief Representations. - Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
LinkNet: Relational Embedding for Scene Graph. - Iain Embrey, Kim Kaivanto:
Many Phish in the C: A Coexisting-Choice-Criteria Model of Security Behavior. - Edgar Ramos, Antonino Orsino:
Effects of Beamforming and Antenna Configurations on Mobility in 5G NR. - Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn:
Adversarial Examples from Cryptographic Pseudo-Random Generators. - Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
Learning to Bound the Multi-class Bayes Error. - Andrzej Pelc, Ram Narayan Yadav:
Latecomers Help to Meet: Deterministic Anonymous Gathering in the Plane. - Yash Pratyush Sinha, Pranshu Malviya, Minerva Panda, Syed Mohd Ali:
Contextual Care Protocol using Neural Networks and Decision Trees. - Hossein Vaezy, Mohammad Javad Omidi, Halim Yanikomeroglu:
Energy Efficient Precoder in Multi-User MIMO Systems with Imperfect Channel State Information. - Sepehr Assadi, Eric Balkanski, Renato Paes Leme:
Secretary Ranking with Minimal Inversions. - Benjamin Yip, Garrett Bingham, Katherine Kempfert, Jonathan Fabish, Troy Kling, Cuixian Chen, Yishi Wang:
Preliminary Studies on a Large Face Database. - Lars Fischer, Jan-Menno Memmen, Eric M. S. P. Veith, Martin Tröschel:
Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems. - Amine Mezghani, Robert W. Heath Jr.:
MIMO Beampattern and Waveform Design with Low Resolution DACs. - Anders E. Kalør, Petar Popovski:
Minimizing the Age of Information from Sensors with Correlated Observations. - David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Víctor Leborán, Xosé M. Pardo:
Psychophysical evaluation of individual low-level feature influences on visual attention. - Abhisekh Sankaran:
Revisiting the generalized Łoś-Tarski theorem. - Ceena Modarres, Mark Ibrahim, Melissa Louie, John W. Paisley:
Towards Explainable Deep Learning for Credit Lending: A Case Study. - Ralf R. Müller, Ali Bereyhi, Christoph F. Mecklenbräuker:
Oversampled Adaptive Sensing with Random Projections: Analysis and Algorithmic Approaches. - Thomas Cherian, Akshay Badola, Vineet Padmanabhan:
Multi-cell LSTM Based Neural Language Model. - Ezra Webb, Cheng Lei, Chun-Jung Huang, Hirofumi Kobayashi, Hideharu Mikami, Keisuke Goda:
Exploring the Deep Feature Space of a Cell Classification Neural Network. - Zehao Dou, Stanley J. Osher, Bao Wang:
Mathematical Analysis of Adversarial Attacks. - Tanmay Inamdar, Shreyas Pai, Sriram V. Pemmaraju:
Large-Scale Distributed Algorithms for Facility Location with Outliers. - Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer. - Craig A. Glastonbury, Michael Ferlaino, Christoffer Nellåker, Cecilia M. Lindgren:
Adjusting for Confounding in Unsupervised Latent Representations of Images. - Stefan Mitsch, André Platzer:
Verified Runtime Validation for Partially Observable Hybrid Systems. - Anup Aprem, Stephen J. Roberts:
A Bayesian optimization approach to compute the Nash equilibria of potential games using bandit feedback. - Manos N. Kamarianakis:
The EdgeConflict Predicate in the 3D Apollonius Diagram. - Reazul Hasan Russel, Marek Petrik:
Tight Bayesian Ambiguity Sets for Robust MDPs. - Borja Ibarz, Jan Leike, Tobias Pohlen, Geoffrey Irving, Shane Legg, Dario Amodei:
Reward learning from human preferences and demonstrations in Atari. - Matthew Klawonn, Eric Heim, James A. Hendler:
Exploiting Class Learnability in Noisy Data. - Vincent Marois, T. S. Jayram, Vincent Albouy, Tomasz Kornuta, Younes Bouhadjar, Ahmet S. Ozcan:
On transfer learning using a MAC model variant. - Edouard Fournier, Stéphane Grihon, Christian Bès, Thierry Klein:
Prediction of Preliminary Maximum Wing Bending Moments under Discrete Gust. - Soumajyoti Sarkar, Mohammad Almukaynizi, Jana Shakarian, Paulo Shakarian:
Predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums. - Jamie Hayes:
A note on hyperparameters in black-box adversarial examples. - Mani A:
Granularity and Generalized Inclusion Functions - Their Variants and Contamination. - Juan Leni, John Levine, John Quigley:
Seq2Seq Mimic Games: A Signaling Perspective. - Chandra Shekhar Yadav:
Automatic Text Document Summarization using Semantic-based Analysis. - Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer:
Stable Tensor Neural Networks for Rapid Deep Learning. - Neeti Narayan, Nishant Sankaran, Srirangaraj Setlur, Venu Govindaraju:
CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking. - Jaeyoung Choi, Istemi Ekin Akkus, Serge Egelman, Gerald Friedland, Robin Sommer, Michael Carl Tschantz, Nicholas Weaver:
Cybercasing 2.0: You Get What You Pay For. - Arno Solin, James Hensman, Richard E. Turner:
Infinite-Horizon Gaussian Processes. - Joseph Lorenzetti, Benoit Landry, Sumeet Singh, Marco Pavone:
Reduced Order Model Predictive Control For Setpoint Tracking. - Benjamin Jensen, Bradford Clark, Dakota Flanary, Kalin Norman, Michael Rice, Willie K. Harrison:
Physical-Layer Security: Does it Work in a Real Environment? - Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar R. Zaïane:
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering. - Qiang Zou, Jibin Zhao:
Iso-parametric tool path planning for point clouds. - Lin Chen, Moran Feldman, Amin Karbasi:
Unconstrained Submodular Maximization with Constant Adaptive Complexity. - Oleksii Sidorov:
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach? - Daniel Muller:
Economics of Human-AI Ecosystem: Value Bias and Lost Utility in Multi-Dimensional Gaps. - Won-Il Song, Taek-Jong Kim:
Study on the numerical value and the distance of symptoms on the Medical Decision Support System. - Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant:
A Spectral View of Adversarially Robust Features. - Xuan Thanh Nguyen, Thanh Ha Lê, Hongchuan Yu:
Motion Style Extraction Based on Sparse Coding Decomposition. - Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein:
Streaming End-to-end Speech Recognition For Mobile Devices. - Daniel T. Chang:
Concept-Oriented Deep Learning: Generative Concept Representations. - Jason R. C. Nurse:
Cybercrime and You: How Criminals Attack and the Human Factors That They Seek to Exploit. - Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. - Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White:
Context-Dependent Upper-Confidence Bounds for Directed Exploration. - Sungjin Lee:
Nudging Neural Conversational Model with Domain Knowledge. - Wesley Joon-Wie Tann, Xing Jie Han, Sourav Sen Gupta, Yew-Soon Ong:
Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities. - CJ Carr, Zack Zukowski:
Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands. - Adarsh Barik, Jean Honorio:
Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. - Zack Zukowski, CJ Carr:
Generating Black Metal and Math Rock: Beyond Bach, Beethoven, and Beatles. - Sen Cao, Yazhou Liu, Pongsak Lasang, Shengmei Shen:
Detecting The Objects on The Road Using Modular Lightweight Network. - Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Mean Square Prediction Error of Misspecified Gaussian Process Models. - Sagar Uprety, Dimitris Gkoumas, Dawei Song:
Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval. - Thomas Beckers, Sandra Hirche:
Stability of Gaussian Process State Space Models. - Thomas Beckers, Sandra Hirche:
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. - V. A. Slipko, Yuriy V. Pershin:
Importance of the window function choice for the predictive modelling of memristors. - Thomas Beckers, Sandra Hirche:
Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models. - Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. - Sotirios Diamantas, Kostas Alexis:
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving. - Guanyu Gao, Linsen Dong, Huaizheng Zhang, Yonggang Wen, Wenjun Zeng:
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis. - Long Hoang Nguyen, Jia Zhen, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin:
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction. - Akshay Rangesh, Mohan M. Trivedi:
Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road. - Zhengwei Ni, Wenbo Wang, Dong In Kim, Ping Wang, Dusit Niyato:
Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard. - You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. - Jonathan J. Huang, Juan Jose Alvarado Leanos:
AclNet: efficient end-to-end audio classification CNN. - Sazia Mahfuz, Haruna Isah, Farhana H. Zulkernine, Peter Nicholls:
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection. - Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke:
The Potential of Learned Index Structures for Index Compression. - Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Nam Ling:
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images. - Suchi Kumari, Anurag Singh:
Fair End to End Window Based Congestion Control in Time Varying Data Communication Networks. - Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee:
Subtask Gated Networks for Non-Intrusive Load Monitoring. - Adnan Qayyum, Zafar Gilani, Siddique Latif, Junaid Qadir, Jat Singh:
Exploring Media Bias and Toxicity in South Asian Political Discourse. - Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie:
DeRPN: Taking a further step toward more general object detection. - Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters:
An Algorithmic Perspective on Imitation Learning. - Simon Leglaive, Laurent Girin, Radu Horaud:
Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization. - Mikita Hradovich, Adam Kasperski, Pawel Zielinski:
Robust recoverable 0-1 optimization problems under polyhedral uncertainty. - Manuel Aiple, Jan Smisek, Andre Schiele:
Increasing Impact by Mechanical Resonance for Teleoperated Hammering. - Alon Cohen, Moran Koren, Argyrios Deligkas:
Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy. - Luc Rabefihavanana, Harinaivo Andriatahiny, Toussaint Joseph Rabeherimanana:
Error correcting codes from sub-exceeding fonction. - Aleksei Y. Kondratev, Alexander S. Nesterov:
Measuring Majority Power and Veto Power of Voting Rules. - César Sánchez, Gerardo Schneider, Wolfgang Ahrendt, Ezio Bartocci, Domenico Bianculli, Christian Colombo, Yliès Falcone, Adrian Francalanza, Srdan Krstic, João M. Lourenço, Dejan Nickovic, Gordon J. Pace, José Rufino, Julien Signoles, Dmitriy Traytel, Alexander Weiss:
A Survey of Challenges for Runtime Verification from Advanced Application Domains (Beyond Software). - Chih-Hong Cheng, Chung-Hao Huang, Georg Nührenberg:
nn-dependability-kit: Engineering Neural Networks for Safety-Critical Systems. - Teresa Scantamburlo, Andrew Charlesworth, Nello Cristianini:
Machine Decisions and Human Consequences. - Tomas Gavenciak, Jakub Tetek:
Compact I/O-Efficient Representation of Separable Graphs and Optimal Tree Layouts. - Zhiniang Peng, Yuki Chen:
All roads lead to Rome: Many ways to double spend your cryptocurrency. - Tom Véniat, Olivier Schwander, Ludovic Denoyer:
Stochastic Adaptive Neural Architecture Search for Keyword Spotting. - Rudolf Byker, Thomas Niesler:
Direction of Arrival Estimation of Wide-band Signals with Planar Microphone Arrays. - Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Entropy-regularized Optimal Transport Generative Models. - Bishoksan Kafle, Graeme Gange, Peter Schachte, Harald Søndergaard, Peter J. Stuckey:
Precondition Inference via Partitioning of Initial States. - Ashkan Esmaeili, Farokh Marvasti:
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding. - Anis Elgabli, Hamza Khan, Mounssif Krouka, Mehdi Bennis:
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks. - Satoshi Kura, Natsuki Urabe, Ichiro Hasuo:
Tail Probabilities for Randomized Program Runtimes via Martingales for Higher Moments. - Hengyue Pan, Hui Jiang, Xin Niu, Yong Dou:
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks. - Luc Pellissier, Thomas Seiller:
PRAMs over integers do not compute maxflow efficiently. - Grzegorz Fabianski, Michal Pilipczuk, Sebastian Siebertz, Szymon Torunczyk:
Progressive Algorithms for Domination and Independence. - Ali Oskooei, Jannis Born, Matteo Manica, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez:
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks. - Markus Blumenstock:
A (4/3+ε)-Approximation Algorithm for Arboricity From Pseudoforest Partitions. - Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann:
Evolutionary Diversity Optimization Using Multi-Objective Indicators. - Tomasz Grzywalski, Szymon Drgas:
Using recurrences in time and frequency within U-net architecture for speech enhancement. - Joe Bolt, Jules Hedges, Philipp Zahn:
Sequential games and nondeterministic selection functions. - Rhiannon Michelmore, Marta Kwiatkowska, Yarin Gal:
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control. - Satwik Patnaik, Mohammed Ashraf, Ozgur Sinanoglu, Johann Knechtel:
Best of Both Worlds: Integration of Split Manufacturing and Camouflaging into a Security-Driven CAD Flow for 3D ICs. - Andrzej Pelc, Ram Narayan Yadav:
Information Complexity of Treasure Hunt in Geometric Terrains. - Jerome Feldman:
Towards a Science of Mind. - David Orden, Ivan Marsá-Maestre, José Manuel Giménez-Guzmán, Enrique de la Hoz, Ana Álvarez-Suárez:
Spectrum graph coloring to improve Wi-Fi channel assignment in a real-world scenario via edge contraction. - Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. - Hang Lu, Xin Wei, Ning Lin, Guihai Yan, Xiaowei Li:
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators. - Gabriel Dahia, Maurício Pamplona Segundo:
Improving Fingerprint Pore Detection with a Small FCN. - Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. - Vincent Goudard:
John, the semi-conductor : a tool for comprovisation. - Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai:
Anomaly Detection using Deep Learning based Image Completion. - Cornelius Steinbrink, Florian Schlögl, Davood Babazadeh, Sebastian Lehnhoff, Sebastian Rohjans, Anand Narajan:
Future Perspectives of Co-Simulation in the Smart Grid Domain. - Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Learning Where to Fixate on Foveated Images. - Sándor Kisfaludi-Bak, Jesper Nederlof, Erik Jan van Leeuwen:
Nearly ETH-Tight Algorithms for Planar Steiner Tree with Terminals on Few Faces. - Manuel Zierl:
Wing Expansion Menu - An approach for faster and more precise navigation with cascading pull-down menus. - Cornelius Steinbrink, Arjen A. van der Meer, Milos Cvetkovic, Davood Babazadeh, Sebastian Rohjans, Peter Palensky, Sebastian Lehnhoff:
Smart Grid Co-Simulation with MOSAIK and HLA: A Comparison Study. - HyoungHo Jung, Ryong Lee, Sanghwan Lee, Wonjun Hwang:
Residual Convolutional Neural Network Revisited with Active Weighted Mapping. - Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser:
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities. - Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Ontology based Approach for Precision Agriculture. - Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
A generalized meta-loss function for distillation and learning using privileged information for classification and regression. - Alejandro Calleja, Juan E. Tapiador, Juan Caballero:
The MalSource Dataset: Quantifying Complexity and Code Reuse in Malware Development. - Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric P. Xing:
On the Complexity of Exploration in Goal-Driven Navigation. - Rajeev Piyare, Amy L. Murphy:
WURBench: Toward Benchmarking Wake-up Radio-based Systems. - Steven Kelk, Simone Linz:
A tight kernel for computing the tree bisection and reconnection distance between two phylogenetic trees. - Jean Elsner:
Optimizing Passenger Comfort in Cost Functions for Trajectory Planning. - Marta Nuñez Garcia, Gabriel Bernardino, Francisco Alarcón, Gala Caixal, Lluís Mont, Oscar Camara, Constantine Butakoff:
Fast quasi-conformal regional flattening of the left atrium. - Ágnes Cseh, Yuri Faenza, Telikepalli Kavitha, Vladlena Powers:
Popularity, stability, and the dominant matching polytope. - Kevin Buchin, Sariel Har-Peled, Dániel Oláh:
A Spanner for the Day After. - Rui Ren, Jinheng Li, Lei Wang, Jianfeng Zhan, Zheng Cao:
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster. - Mengyue Hang, Ian Pytlarz, Jennifer Neville:
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction. - Xueyan Liu, Zhitao Guan, Xiaojiang Du, Liehuang Zhu, Zhengtao Yu, Yinglong Ma:
ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data. - Zhitao Guan, Guanlin Si, Xiaojiang Du, Peng Liu:
Protecting User Privacy Based on Secret Sharing with Error Tolerance for Big Data in Smart Grid. - Adrien Koutsos:
The 5G-AKA Authentication Protocol Privacy. - Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti:
Pre-training Graph Neural Networks with Kernels. - Sam Cole, Yizhe Zhu:
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm. - Alan Kuhnle, Taher Mun, Christina Boucher, Travis Gagie, Ben Langmead, Giovanni Manzini:
Efficient Construction of a Complete Index for Pan-Genomics Read Alignment. - Benjamin Yip, Rachel Towner, Troy Kling, Cuixian Chen, Yishi Wang:
Image Pre-processing Using OpenCV Library on MORPH-II Face Database. - Adrien Koutsos:
Deciding Indistinguishability. - Wissam J. Baddar, Yong Man Ro:
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. - Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka:
Automatic Paper Summary Generation from Visual and Textual Information. - Hugo R. M. Sardinha, Mauro Dragone, Patrícia A. Vargas:
Closing the Gap in Swarm Robotics Simulations: An Extended Ardupilot/Gazebo plugin. - Philipp J. Meyer, Javier Esparza, Philip Offtermatt:
Computing the Expected Execution Time of Probabilistic Workflow Nets. - Fernando de Mesentier Silva, Igor Borovikov, John Kolen, Navid Aghdaie, Kazi A. Zaman:
Exploring Gameplay With AI Agents. - Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine:
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. - Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen:
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. - Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy:
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context. - Loris D'Antoni, Tiago Ferreira, Matteo Sammartino, Alexandra Silva:
Symbolic Register Automata. - Nicholas Frosst, Sara Sabour, Geoffrey E. Hinton:
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules. - Chris Ying, Sameer Kumar, Dehao Chen, Tao Wang, Youlong Cheng:
Image Classification at Supercomputer Scale. - Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira:
Data-Efficient Graph Embedding Learning for PCB Component Detection. - Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc G. Bellemare, Doina Precup:
The Barbados 2018 List of Open Issues in Continual Learning. - Shirin Nilizadeh, Yannic Noller, Corina S. Pasareanu:
DifFuzz: Differential Fuzzing for Side-Channel Analysis. - Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez:
Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. - Octavio Narvaez-Aroche, Pierre-Jean Meyer, Stephen Tu, Andrew K. Packard, Murat Arcak:
Robust Control of the Sit-to-Stand Movement for a Powered Lower Limb Orthosis. - Eirini Arvaniti, Manfred Claassen:
Coupling weak and strong supervision for classification of prostate cancer histopathology images. - Konstantinos Zampogiannis, Cornelia Fermüller, Yiannis Aloimonos:
Topology-Aware Non-Rigid Point Cloud Registration. - Shagun Sodhani, Sarath Chandar, Yoshua Bengio:
On Training Recurrent Neural Networks for Lifelong Learning. - Yuan Gong, Christian Poellabauer:
Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues. - Daniele Q. M. Madureira, Vera Lucia P. S. Caminha, Rogerio Salvini:
Brain Connectivity Impairments and Categorization Disabilities in Autism: A Theoretical Approach via Artificial Neural Networks. - Rohit Voleti, Julie M. Liss, Visar Berisha:
Investigating the Effects of Word Substitution Errors on Sentence Embeddings. - K. Gretchen Greene:
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing. - Behshid Shayesteh, Vesal Hakami, Ahmad Akbari:
A Trust Management Scheme for IoT-Enabled Environmental Health/Accessibility Monitoring Services. - Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. - Kevin W. Wilson, Michael Chinen, Jeremy Thorpe, Brian Patton, John R. Hershey, Rif A. Saurous, Jan Skoglund, Richard F. Lyon:
Exploring Tradeoffs in Models for Low-latency Speech Enhancement. - Jing Huang, Viswanath Sivakumar, Mher Mnatsakanyan, Guan Pang:
Improving Rotated Text Detection with Rotation Region Proposal Networks. - Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. - Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. - Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. - Mariia Seleznova, Anton Belyy, Aleksei Sholokhov:
Towards Large-Scale Exploratory Search over Heterogeneous Sources. - Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Computational Graph for Automatic Motion Policy Generation. - Vlasta Stavova, Lenka Dedkova, Martin Ukrop, Vashek Matyas:
A Large-Scale Comparative Study of Beta Testers and Standard Users. - Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang:
Domain Adaptive Transfer Learning with Specialist Models. - Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Relational Long Short-Term Memory for Video Action Recognition. - Sudip Vhaduri, Christian Poellabauer:
Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods. - Li Lucy, Julia Mendelsohn:
Using Sentiment Induction to Understand Variation in Gendered Online Communities. - Vardan Papyan:
The Full Spectrum of Deep Net Hessians At Scale: Dynamics with Sample Size. - Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung:
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder. - Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. - Yuanbo Hou, Qiuqiang Kong, Jun Wang, Shengchen Li:
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units. - Mostafa S. Ibrahim, Arash Vahdat, William G. Macready:
Weakly Supervised Semantic Image Segmentation with Self-correcting Networks. - Peixiang Zhong, Di Wang, Chunyan Miao:
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. - Ndapa Nakashole:
Bilingual Dictionary Induction for Bantu Languages. - Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang:
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module. - David B. Ramsay, Ishwarya Ananthabhotla, Joseph A. Paradiso:
The Intrinsic Memorability of Everyday Sounds. - Van-Thanh Hoang, Kang-Hyun Jo:
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution. - Dzung L. Pham, Snehashis Roy:
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification. - Ruisheng Shi, Lina Lan, Peng Liu, Di Ao, Yueming Lu:
Towards Scalable Subscription Aggregation and Real Time Event Matching in a Large-Scale Content-Based Network. - Ndapa Nakashole:
Unnamed Entity Recognition of Sense Mentions. - Mohammed Aladsani, Ahmed Alkhateeb, Georgios C. Trichopoulos:
Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping. - Ndapa Nakashole:
Sense Perception Common Sense Relationships. - Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales:
Deep Comparison: Relation Columns for Few-Shot Learning. - Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin de Haan, Aydogan Ozcan:
Cross-modality deep learning brings bright-field microscopy contrast to holography. - Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn:
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs. - Chengdong Feng, Zhenbang Chen, Weijiang Hong, Hengbiao Yu, Wei Dong, Ji Wang:
Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel. - Jin Fang, Feilong Yan, Tongtong Zhao, Feihu Zhang, Dingfu Zhou, Ruigang Yang, Yu Ma, Liang Wang:
Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows. - Soochang Lee, Chul-Heung Kim, Seongbin Oh, Byung-Gook Park, Jong-Ho Lee:
Unsupervised Online Learning With Multiple Postsynaptic Neurons Based on Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array. - Clemens-Alexander Brust, Joachim Denzler:
Not just a matter of semantics: the relationship between visual similarity and semantic similarity. - Xiao Sun, Chuankang Li, Stephen Lin:
Explicit Pose Deformation Learning for Tracking Human Poses. - Haoxin Ma, Haotian Li, Zhiwen Qian, Shengxian Shi, Tingting Mu:
VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images. - Clemens-Alexander Brust, Joachim Denzler:
Integrating domain knowledge: using hierarchies to improve deep classifiers. - Xue Yang, Kun Fu, Hao Sun, Jirui Yang, Zhi Guo, Menglong Yan, Tengfei Zhang, Xian Sun:
R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy. - Zuozhuo Dai, Mingqiang Chen, Siyu Zhu, Ping Tan:
Batch Feature Erasing for Person Re-identification and Beyond. - (Withdrawn) Deep Discriminative Learning for Unsupervised Domain Adaptation.
- Martin Weiß:
Optimization of Robot Tasks with Cartesian Degrees of Freedom using Virtual Joints. - Zeinab Ganjei, Ahmed Rezine, Ludovic Henrio, Petru Eles, Zebo Peng:
On Reachability in Parameterized Phaser Programs. - Iddo Drori, Isht Dwivedi, Pranav Shrestha, Jeffrey Wan, Yueqi Wang, Yunchu He, Anthony Mazza, Hugh Krogh-Freeman, Dimitri Leggas, Kendal Sandridge, Linyong Nan, Kaveri A. Thakoor, Chinmay Joshi, Sonam Goenka, Chen Keasar, Itsik Pe'er:
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. - Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos:
Equilibria-based Probabilistic Model Checking for Concurrent Stochastic Games. - Michaël Cadilhac, Guillermo A. Pérez, Marie van den Bogaard:
The Impatient May Use Limited Optimism to Minimize Regret. - Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom:
Robust Website Fingerprinting Through the Cache Occupancy Channel. - José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: an overview on algorithms, performance measures and data sets. - Gurkirt Singh, Fabio Cuzzolin:
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations. - Jing Yu, Zhenchun Chang, Chuangbai Xiao:
Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity. - (Withdrawn) Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks.
- Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Eric Sodomka, Nicolás E. Stier Moses, Chris Wilkens:
Pacing Equilibrium in First-Price Auction Markets. - Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee:
What Propels Celebrity Follower Counts? Language Use or Social Connectivity. - Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora:
Optical Flow Dataset and Benchmark for Visual Crowd Analysis. - Sherif Abdulatif, Fady Aziz, Karim Armanious, Bernhard Kleiner, Bin Yang, Urs Schneider:
A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning. - Samuel G. Fadel, Ricardo da Silva Torres:
Link Prediction in Dynamic Graphs for Recommendation. - Cheng-Yaw Low, Jaewoo Park, Andrew Beng Jin Teoh:
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification. - Hochul Shin, Dongyi Kim, Dae-Kwan Ko, Soo-Chul Lim, Wonjun Hwang:
Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor. - Yichuan Zhang:
The Theory and Algorithm of Ergodic Inference. - John D. Martin, Brendan J. Englot:
Recursive Sparse Pseudo-input Gaussian Process SARSA. - Neha Baranwal:
On Human Robot Interaction using Multiple Modes. - Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon:
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples. - Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko:
Open-vocabulary Phrase Detection. - Meha Kaushik, S. Phaniteja, K. Madhava Krishna:
Parameter Sharing Reinforcement Learning Architecture for Multi Agent Driving Behaviors. - Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian V. Dalca, Samuel G. Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Yunze Man, Xinshuo Weng, Kris M. Kitani:
GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency. - Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions. - Blai Bonet, Guillem Francès, Hector Geffner:
Learning Features and Abstract Actions for Computing Generalized Plans. - Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu:
Improving Automatic Source Code Summarization via Deep Reinforcement Learning. - Vicky Zayats, Mari Ostendorf:
Robust cross-domain disfluency detection with pattern match networks. - Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron C. Courville:
Representation Mixing for TTS Synthesis. - Samuel Gomes, Carlos Martinho:
Dynamic Interaction Mechanics CrossAnt. - Wenxuan Wu, Zhongang Qi, Fuxin Li:
PointConv: Deep Convolutional Networks on 3D Point Clouds. - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka:
Matching RGB Images to CAD Models for Object Pose Estimation. - Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer:
Iris Presentation Attack Detection Based on Photometric Stereo Features. - Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. - James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan:
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. - Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu:
Optical Flow Based Online Moving Foreground Analysis. - Gaoang Wang, Yizhou Wang, Haotian Zhang, Renshu Gu, Jenq-Neng Hwang:
Exploit the Connectivity: Multi-Object Tracking with TrackletNet. - Zhizhong Wang, Lei Zhao, Wei Xing, Dongming Lu:
GLStyleNet: Higher Quality Style Transfer Combining Global and Local Pyramid Features. - Yuchen Li, Safwan Hossain, Kiarash Jamali, Frank Rudzicz:
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification. - Bolin Liu, Xiao Shu, Xiaolin Wu:
Deep Learning with Inaccurate Training Data for Image Restoration. - Tien Ho-Phuoc:
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans. - Michael Correll:
Ethical Dimensions of Visualization Research. - Felix G. Hamza-Lup, Stephen White:
Design and Assessment for Hybrid Courses: Insights and Overviews. - Aaditya Prakash, James A. Storer, Dinei A. F. Florêncio, Cha Zhang:
RePr: Improved Training of Convolutional Filters. - Soyeon Park, Sangho Lee, Wen Xu, Hyungon Moon, Taesoo Kim:
libmpk: Software Abstraction for Intel Memory Protection Keys. - Kyubin Lee, Akshay Sood, Mark Craven:
Understanding Learned Models by Identifying Important Features at the Right Resolution. - Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Prem Natarajan:
Image-to-GPS Verification Through A Bottom-Up Pattern Matching Network. - Jianlin Su:
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint. - Wenhu Chen, Yilin Shen, Xin Wang, William Yang Wang:
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection. - Yoel Shoshan, Vadim Ratner:
Regularized adversarial examples for model interpretability. - Davide Cirillo, Alfonso Valencia:
Algorithmic complexity in Computational Biology. - Miguel de Prado, Nuria Pazos, Luca Benini:
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems. - Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Faces with Alterations due to Plastic Surgery and Disguise. - Nikhil Potu Surya Prakash:
Nonlinear control of a swinging pendulum on a wheeled mobile robot with nonholonomic constraints. - Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark. - Taro Sekiyama, Atsushi Igarashi:
Handling polymorphic algebraic effects. - Sen Liu, Jianxin Lin, Zhibo Chen:
Distribution Discrepancy Maximization for Image Privacy Preserving. - Yang Li, Sangwhan Cha:
Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN. - Amir M. Ben-Amram, Jesús Doménech, Samir Genaim:
Multiphase-Linear Ranking Functions and their Relation to Recurrent Sets. - Weijun Lu, Xiao-Yang Liu, Qingwei Wu, Yue Sun, Anwar Walid:
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis. - Philip Smith, Cuixian Chen:
Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation. - Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-based Explorations. - Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-Task Learning for Citation Function and Provenance. - Sharu Theresa Jose, Ankur A. Kulkarni:
Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. - Alexander B. Veretennikov:
Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes. - Mahmoud Ammar, Mahdi Washha, Bruno Crispo:
WISE: Lightweight Intelligent Swarm Attestation Scheme for IoT (The Verifier's Perspective). - Mahmoud Ammar, Mahdi Washha, Gowri Sankar Ramachandran, Bruno Crispo:
slimIoT: Scalable Lightweight Attestation Protocol For the Internet of Things. - Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross Anderson:
The Taboo Trap: Behavioural Detection of Adversarial Samples. - Shanxin Yuan, Björn Stenger, Tae-Kyun Kim:
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images. - Lukas Graf, Tobias Harks:
Dynamic Flows with Adaptive Route Choice. - Tommy Dang, Long Hoang Nguyen, Abdullah Karim, Venkatesh Uddameri:
STOAViz: Visualizing Saturated Thickness of Ogallala Aquifer. - Anthony D. Rhodes, Manan Goel:
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking. - Cristina Perfecto, Mohammed Saad ElBamby, Javier Del Ser, Mehdi Bennis:
Taming the latency in multi-user VR 360°: A QoE-aware deep learning-aided multicast framework. - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Shyue-Liang Wang, Philip S. Yu:
Privacy Preserving Utility Mining: A Survey. - Long Hoang Nguyen, Abdullah Karim:
A Study on 3D Surface Graph Representations. - Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. - Yu Yin, Mohsen Nabian, Miaolin Fan, Chun-An Chou, Maria Gendron, Sarah Ostadabbas:
Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience. - Antonios Syreloglou:
The problematic nature of potentially polynomial-time algorithms solving the subset-sum problem. - Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr:
Multimodal Densenet. - Kanthi K. Sarpatwar, Baruch Schieber, Hadas Shachnai:
The Preemptive Resource Allocation Problem. - Shenghe Xu, Pei Liu, Ran Wang, Shivendra S. Panwar:
Realtime Scheduling and Power Allocation Using Deep Neural Networks. - Kyle Kastner, Rithesh Kumar, Tim Cooijmans, Aaron C. Courville:
Harmonic Recomposition using Conditional Autoregressive Modeling. - Georgios Tsitsikas, Evangelos E. Papalexakis:
The core consistency of a compressed tensor. - Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar:
Understanding and Measuring Psychological Stress using Social Media. - Yuan Li, Yuanjie Yu, Zefeng Li, Yangkun Lin, Meifang Xu, Jiwei Li, Xi Zhou:
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks. - Debasish Ray Mohapatra, Sidney S. Fels:
Limitations of Source-Filter Coupling In Phonation. - Andrew Adamatzky, Konrad Szacilowski, Dawid Przyczyna, Zoran Konkoli, Georgios Ch. Sirakoulis, Liss C. Werner:
On buildings that compute. A proposal. - Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or:
Learning to Generate the "Unseen" via Part Synthesis and Composition. - Armon Shariati, Bernd Pfrommer, Camillo J. Taylor:
Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds. - Bhadrachalam Chitturi, Indulekha T. S:
Sorting permutations with a transposition tree. - Omri Ben-Eliezer:
Testing local properties of arrays. - Ning Wei, Xingqin Lin, Guangrong Yue, Zhongpei Zhang:
Initial Cell Search and Selection for Load Balancing and Throughput Optimization in 5G Millimeter Wave Networks. - Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. - Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach. - Farzan Farnia, Jesse M. Zhang, David Tse:
Generalizable Adversarial Training via Spectral Normalization. - Tasfia Shermin, M. Manzur Murshed, Guojun Lu, Shyh Wei Teng:
An Efficient Transfer Learning Technique by Using Final Fully-Connected Layer Output Features of Deep Networks. - Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. - Amirreza Farnoosh, Sarah Ostadabbas:
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation. - Priya T. Goeser, Felix G. Hamza-Lup, Wayne M. Johnson, Dirk Scharfer:
VIEW: A Virtual Interactive Web-based Learning Environment for Engineering. - Alina Ene, Huy L. Nguyen:
Towards Nearly-linear Time Algorithms for Submodular Maximization with a Matroid Constraint. - Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou:
Bayesian CycleGAN via Marginalizing Latent Sampling. - Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-scale 3D Convolution Network for Video Based Person Re-Identification. - Weiwei Gu, Jar-der Luo, Jifan Liu:
Exploring Small-World Network with an Elite-Clique: Bringing Embeddedness Theory into the Dynamic Evolution of a Venture Capital Network. - Felix G. Hamza-Lup, Dorin M. Popovici, Crenguta M. Bogdan:
Haptic Feedback Systems in Medical Education. - Anant Gupta:
Best-arm identification with cascading bandits. - Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun:
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection. - Honglun Zhang, Wenqing Chen, Jidong Tian, Yongkun Wang, Yaohui Jin:
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention. - Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh:
Reducing Visual Confusion with Discriminative Attention. - Chenchen Li, Jialin Wang, Hongwei Wang, Miao Zhao, Wenjie Li, Xiaotie Deng:
Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks. - Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification with Consistent Attentive Siamese Networks. - Seunghwan Cha, James Ainooson, Maithilee Kunda:
Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video. - Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon:
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. - Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics. - Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng:
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols. - Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. - Gurjeet Singh, Sun Miao, Shi Shi, Patrick Chiang:
FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier. - Konstantinos Pappas, Mahmoud Azab, Rada Mihalcea:
A Comparative Analysis of Content-based Geolocation in Blogs and Tweets. - Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, Dacheng Tao:
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling. - (Withdrawn) Fast Efficient Object Detection Using Selective Attention.
- Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. - Ruihua Han, Shengduo Chen, Yasheng Bu, Zhijun Lyu, Qi Hao:
Decentralized Cooperative Multi-Robot Localization with EKF. - Anton V. Eremeev, Alexander V. Spirov:
Modularity in biological evolution and evolutionary computation. - Shobeir Fakhraei, José Luis Ambite:
NSEEN: Neural Semantic Embedding for Entity Normalization. - Lijie Chen, Ruosong Wang:
Classical Algorithms from Quantum and Arthur-Merlin Communication Protocols. - Rahma Fourati, Boudour Ammar, Javier J. Sánchez Medina, Adel M. Alimi:
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition. - Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang:
Multiuser Computation Offloading and Downloading for Edge Computing with Virtualization. - Jie Shao, Kai Hu, Yixin Bao, Yining Lin, Xiangyang Xue:
High Order Neural Networks for Video Classification. - Zongxiang Yi, Yuyin Yu, Chunming Tang, Yanbin Zheng:
A Note on Two Constructions of Zero-Difference Balanced Functions. - Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid:
Practical Deep Reinforcement Learning Approach for Stock Trading. - Tai-Yuan Chen, Wei-Ning Huang, Po-Chun Kuo, Hao Chung, Tzu-Wei Chao:
DEXON: A Highly Scalable, Decentralized DAG-Based Consensus Algorithm. - Aurélien Pélissier, Atsuyoshi Nakamura, Koji Tabata:
Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. - Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout. - V. Bellet, Charles Poussot-Vassal, Claire Pagetti, Thomas Loquen:
Note on the exact delay stability margin computation of hybrid dynamical systems. - Chao Lu, Wei Xu, Hong Shen, Jun Zhu, Kezhi Wang:
MIMO Channel Information Feedback Using Deep Recurrent Network. - Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin:
Contributors profile modelization in crowdsourcing platforms. - Jean Stawiaski:
A Pretrained DenseNet Encoder for Brain Tumor Segmentation. - Jiawei Liu, Zheng-Jun Zha, Hongtao Xie, Zhiwei Xiong, Yongdong Zhang:
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification. - Yunxiao Qin, Chenxu Zhao, Zezheng Wang, Junliang Xing, Jun Wan, Zhen Lei:
Representation based and Attention augmented Meta learning. - Sumit Shekhar, Aditya Siddhant, Anindya Shankar Bhandari, Nishant Yadav:
VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing. - Yuanliu Liu, Peipei Shi, Bo Peng, He Yan, Yong Zhou, Bing Han, Yi Zheng, Chao Lin, Jianbin Jiang, Yin Fan, Tingwei Gao, Ganwen Wang, Jian Liu, Xiangju Lu, Danming Xie:
iQIYI-VID: A Large Dataset for Multi-modal Person Identification. - Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. - Yuxin Zhang, Huan Wang, Yang Luo, Roland Hu:
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method. - Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon:
NECST: Neural Joint Source-Channel Coding. - Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal:
Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories. - Yonatan Geifman, Ran El-Yaniv:
Deep Active Learning with a Neural Architecture Search. - Qiang Zou, Juyong Zhang, Bailin Deng, Jibin Zhao:
Iso-level tool path planning for free-form surfaces. - Jaime Spencer, Oscar Mendez Maldonado, Richard Bowden, Simon Hadfield:
Localisation via Deep Imagination: learn the features not the map. - Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Deep Frank-Wolfe For Neural Network Optimization. - Xu Lan, Xiatian Zhu, Shaogang Gong:
Self-Referenced Deep Learning. - Parag Agrawal, Anshuman Suri, Tulasi Menon:
A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. - M. S. Ishwarya, Ch. Aswani Kumar:
Quantum Inspired High Dimensional Conceptual Space as KID Model for Elderly Assistance. - Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski:
Adversarial Autoencoders for Generating 3D Point Clouds. - Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. - Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique:
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. - Stiphen Chowdhury, Renato Cordeiro de Amorim:
An efficient density-based clustering algorithm using reverse nearest neighbour. - Jian Xu, Chunheng Wang, Cunzhao Shi, Baihua Xiao:
Weakly Supervised Soft-detection-based Aggregation Method for Image Retrieval. - Cristian Rusu:
Approximate Eigenvalue Decompositions of Linear Transformations with a Few Householder Reflectors. - Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao:
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. - Samuel Murray, Hedvig Kjellström:
Mixed Likelihood Gaussian Process Latent Variable Model. - Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. - Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko:
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint. - Lili Yao, Ruijian Xu, Chao Li, Dongyan Zhao, Rui Yan:
Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations. - Louis Gallagher, John B. McDonald:
Collaborative Dense SLAM. - Xin Zhang, Qian Wang, Toby P. Breckon, Ioannis P. Ivrissimtzis:
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. - Jinguang Han, Liqun Chen, Steve A. Schneider, Helen Treharne, Stephan Wesemeyer, Nick Wilson:
Anonymous Single Sign-on with Proxy Re-Verification. - Hudson Borges, Marco Túlio Valente:
What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform. - Henning Basold, Ekaterina Komendantskaya, Yue Li:
Coinduction in Uniform: Foundations for Corecursive Proof Search with Horn Clauses. - Arash Vaezi, Mohammad Ghodsi:
Visibility Extension via Reflective Edges to an Exact Quantity. - Abbas Ehsanfar, Mo Mansouri:
An Influence-based Clustering Model on Twitter. - Naoto Mizuta, Yoshihiko Susuki, Yutaka Ota, Atsushi Ishigame:
Synthesis of Spatial Charging/Discharging Patterns of In-Vehicle Batteries for Provision of Ancillary Service and Mitigation of Voltage Impact. - Yue Zheng, Yali Li, Shengjin Wang:
Intention Oriented Image Captions with Guiding Objects. - Fei Peng, Le-Bing Zhang, Min Long:
FD-GAN: Face-demorphing generative adversarial network for restoring accomplice's facial image. - Marco Macanovic, Fabian Chersi, Félix Rutard, Sio-Hoi Ieng, Ryad Benosman:
When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware. - Teng Li, Hyo-Sang Shin, Antonios Tsourdos:
Fast submodular maximization subject to k-extendible system constraints. - Wenfang Lin, Zhenyu Wu, Yang Ji:
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics. - Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht, David Leroy, Mathieu Poumeyrol, Thibaut Lavril:
Efficient keyword spotting using dilated convolutions and gating. - Bin Yang, Xiaogang Cheng, Thomas Olofsson, Haibo Li, Alan K. Meier:
Macro pose-based non-invasive thermal comfort perception for energy efficiency. - (Withdrawn) Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning.
- Sophea Chhun, Néjib Moalla, Yacine Ouzrout:
Towards ontology based BPMN Implementation. - Néjib Moalla, Abdelaziz Bouras, Gilles Neubert, Yacine Ouzrout:
Data Compliance in Pharmaceutical Industry, Interoperability to align Business and Information Systems. - Dmytro O. Terletskyi:
Algorithms for Runtime Generation of Homogeneous Classes of Objects. - Irene Unceta, Jordi Nin, Oriol Pujol:
Towards Global Explanations for Credit Risk Scoring. - Alexander P. Kryukov, Grigory B. Shpiz:
Simplification of tensor expressions in computer algebra. - Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue:
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes. - Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Lagrangian Systems. - Qin He, Atena Rezaei, Sampsa Pursiainen:
Zeffiro user interface for electromagnetic brain imaging: a GPU accelerated FEM tool for forward and inverse computations in Matlab. - Pradeep Rangan, K. Sreenivasa Rao:
Beam Search Decoding using Manner of Articulation Detection Knowledge Derived from Connectionist Temporal Classification. - Cunsheng Ding, Sihem Mesnager, Chunming Tang, Maosheng Xiong:
Cyclic bent functions and their applications in codes, codebooks, designs, MUBs and sequences. - Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang:
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct? - Alexey A. Bobtsov, Anton A. Pyrkin, Romeo Ortega, Alexey A. Vedyakov:
Sensorless Control of the Levitated Ball. - Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. - Ariel Keselman, Sergey Ten, Adham Ghazali, Majed Jubeh:
Reinforcement Learning with A* and a Deep Heuristic. - Kiran Karra, Samarth Swarup, Justus Graham:
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks. - Jinwei Zhao, Qizhou Wang, Yufei Wang, Xinhong Hei, Yu Liu:
How far from automatically interpreting deep learning. - Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer:
Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. - Daniel Coelho de Castro, Sebastian Nowozin:
Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model. - Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang:
Building Efficient Deep Neural Networks with Unitary Group Convolutions. - Raphaël Féraud, Réda Alami, Romain Laroche:
Decentralized Exploration in Multi-Armed Bandits. - Seth Neel, Aaron Roth, Zhiwei Steven Wu:
How to Use Heuristics for Differential Privacy. - Anton S. Becker, Lukás Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu:
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks. - Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem:
Handwriting Recognition of Historical Documents with few labeled data. - Ilke Demir, Ramesh Raskar:
Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning. - Dimitrios Kollias, Stefanos Zafeiriou:
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition. - Dimitrios Kollias, Stefanos Zafeiriou:
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions. - Marcin Pilipczuk, Michal Ziobro:
Experimental Evaluation of Parameterized Algorithms for Graph Separation Problems: Half-Integral Relaxations and Matroid-based Kernelization. - Sepehr Assadi, Michael Kapralov, Sanjeev Khanna:
A Simple Sublinear-Time Algorithm for Counting Arbitrary Subgraphs via Edge Sampling. - Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis:
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN. - Varun Manjunatha, Nirat Saini, Larry S. Davis:
Explicit Bias Discovery in Visual Question Answering Models. - David Fuentes-Jiménez, David Casillas-Pérez, Daniel Pizarro-Pérez, Toby Collins, Adrien Bartoli:
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image. - Jianxin Lin, Tiankuang Zhou, Zhibo Chen:
DeepIR: A Deep Semantics Driven Framework for Image Retargeting. - Moritz Wiese, Holger Boche:
Semantic Security and the Second-Largest Eigenvalue of Biregular Graphs. - Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed Learning of Average Belief Over Networks Using Sequential Observations. - Jean-Matthieu Maro, Ryad Benosman:
Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities. - Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich:
Pareto Optimization for Subset Selection with Dynamic Cost Constraints. - Tian Xu, Jiayu Zhan, Oliver G. B. Garrod, Philip H. S. Torr, Song-Chun Zhu, Robin A. A. Ince, Philippe G. Schyns:
Deeper Interpretability of Deep Networks. - B. V. Divyashree, Amarnath R, Naveen M, G. Hemantha Kumar:
Novel approach to locate region of interest in mammograms for Breast cancer. - Dibya Ghosh, Abhishek Gupta, Sergey Levine:
Learning Actionable Representations with Goal-Conditioned Policies. - Wilmer Leal, Guillermo Restrepo, Peter F. Stadler, Jürgen Jost:
Forman-Ricci Curvature for Hypergraphs. - Wojciech Nadara:
Experimental evaluation of kernelization algorithms to Dominating Set. - David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin:
Safe and Complete Real-Time Planning and Exploration in Unknown Environments. - Laurent Dardelet, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Features Selection and Tracking from Intertwined Estimation of Velocity and Generative Contours. - Bander Alsulami, Spiros Mancoridis:
Behavioral Malware Classification using Convolutional Recurrent Neural Networks. - Rashmi Ballamajalu, Srijith Nair, Shayal Chhabra, Sumit K. Monga, Anand SVR, Malati Hegde, Yogesh Simmhan, Anamika Sharma, Chandan M. Choudhary, Ronak Sutaria, Rajesh Zele, Sachchida N. Tripathi:
Toward SATVAM: An IoT Network for Air Quality Monitoring. - Bob de Ruiter, George Kachergis:
The Mafiascum Dataset: A Large Text Corpus for Deception Detection. - Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the spread of exaggerated news content over social media. - Pankaj Bodani, Kumar Shreshtha, Shashikant Sharma:
OrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery. - Khashayar Gatmiry, Manuel Gomez-Rodriguez:
On the Network Visibility Problem. - Zhitao Guan, Tingting Yang, Xiaojiang Du, Mohsen Guizani:
Secure Data Access for Wireless Body Sensor Networks. - Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine. - Jan Leike, David Krueger, Tom Everitt, Miljan Martic, Vishal Maini, Shane Legg:
Scalable agent alignment via reward modeling: a research direction. - John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, Sergey Levine:
Guiding Policies with Language via Meta-Learning. - Sung Ho Kang, Kiwan Jeon, Hak-Jin Kim, Jin Keun Seo, Sang-Hwy Lee:
Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks. - Shishira R. Maiya, Sudharshan Chandra Babu:
Slum Segmentation and Change Detection : A Deep Learning Approach. - Miki E. Verma, Robert A. Bridges, Samuel C. Hollifield:
ACTT: Automotive CAN Tokenization and Translation. - Vivian Lai, Chenhao Tan:
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. - Xiaokang Zhang, Inge Jonassen:
EFSIS: Ensemble Feature Selection Integrating Stability. - Mo Deng, Shuai Li, George Barbastathis:
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery. - Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus:
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. - Brent A. Griffin, Jason J. Corso:
Tukey-Inspired Video Object Segmentation. - Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. - Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter:
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. - Jingcheng Liu, Kunal Talwar:
Private Selection from Private Candidates. - Zachary A. Pardos, Andrew Joo Hun Nam:
A Map of Knowledge. - Edgar Martínez-Moro, Alexandre Fotue Tabue, Thomas Blackford:
On polycyclic codes over a finite chain ring. - Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya G. Parameswaran:
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. - Mincong Luo, Xinfu He, Li Liu:
Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism. - Xiao Chen, Chin-Woo Tan, Sila Kiliccote, Ram Rajagopal:
Electric vehicle charging during the day or at night: a perspective on carbon emissions. - Seelwan Sathitratanacheewin, Krit Pongpirul:
Deep Learning for Automated Classification of Tuberculosis-Related Chest X-Ray: Dataset Specificity Limits Diagnostic Performance Generalizability. - Conghui Li, Zhaocheng Zhu, Yuming Zhao:
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression. - Zhanli Chen, Rashid Ansari, Diana J. Wilkie:
Automated Pain Detection from Facial Expressions using FACS: A Review. - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition based on Visually Semantic Embedding. - Abon Chaudhuri, Paolo Messina, Samrat Kokkula, Aditya Subramanian, Abhinandan Krishnan, Shreyansh Gandhi, Alessandro Magnani, Venkatesh Kandaswamy:
A Smart System for Selection of Optimal Product Images in E-Commerce. - Yoni Nachmany, Hamed Alemohammad:
Generating a Training Dataset for Land Cover Classification to Advance Global Development. - Steve Kommrusch, Louis-Noël Pouchet:
Synthetic Lung Nodule 3D Image Generation Using Autoencoders. - Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou:
Photorealistic Facial Synthesis in the Dimensional Affect Space. - Xiaogang Cheng, Bin Yang, Anders Hedman, Thomas Olofsson, Haibo Li, Luc Van Gool:
Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency. - Daniel Gillick, Alessandro Presta, Gaurav Singh Tomar:
End-to-End Retrieval in Continuous Space. - István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition using Proxies. - Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing:
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Yasunori Ishii, Sotaro Tsukizawa:
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions. - Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann, Hailin Jin, Yun Fu:
Visual Font Pairing. - George Berry:
Role action embeddings: scalable representation of network positions. - Reza Rezaie, X. Rong Li:
Destination-Directed Trajectory Modeling and Prediction Using Conditionally Markov Sequences. - Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control using Learned Dynamics. - Pramit Saha, Debasish Ray Mohapatra, Praneeth SV, Sidney S. Fels:
Sound-Stream II: Towards Real-Time Gesture Controlled Articulatory Sound Synthesis. - Andrey Filippov, Oleg Dzhimiev:
See far with TPNET: a Tile Processor and a CNN Symbiosis. - Shashwat Shivam, Ian Buckley, Yorai Wardi, Carla Seatzu, Magnus Egerstedt:
Tracking Control by the Newton-Raphson Flow: Applications to Autonomous Vehicles. - Fangda Gu, Armin Askari, Laurent El Ghaoui:
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training. - Xiangan Liu, Keyang Xu, Pengtao Xie, Eric P. Xing:
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. - Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Recurrent Iterative Gating Networks for Semantic Segmentation. - John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade:
Coupled Recurrent Models for Polyphonic Music Composition. - Chunhui Guo, Hao Wu, Xiayu Hua, Shangping Ren, Jerzy Nogiec:
Optimizing System Quality of Service through Rejuvenation for Long-Running Applications with Real-Time Constraints. - Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. - Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning without Memorizing. - Neha R. Hippalgaonkar, Alexa D. Sider, Felix G. Hamza-Lup, Anand P. Santhanam, Bala Jaganathan, Celina Imielinska, Jannick P. Rolland:
Generating Classes of 3D Virtual Mandibles for AR-Based Medical Simulation. - Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. - Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang:
Gradient-Coherent Strong Regularization for Deep Neural Networks. - Xiaomeng Dong, E. N. Barnett, Sudarshan K. Dhall:
Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix. - Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha:
Model and Integrate Medical Resource Available Times and Relationships in Verifiably Correct Executable Medical Best Practice Guideline Models (Extended Version). - Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
Practical Visual Localization for Autonomous Driving: Why Not Filter? - Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha:
Model and Integrate Medical Resource Availability into Verifiably Correct Executable Medical Guidelines - Technical Report. - Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. - Ka Ho Chow, Anish Hiranandani, Yifeng Zhang, S.-H. Gary Chan:
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder. - Pengyuan Ren, Jianmin Li:
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models. - (Withdrawn) Scene Graph Generation via Conditional Random Fields.
- Vu Trong Sinh, Le Minh Nguyen:
An empirical evaluation of AMR parsing for legal documents. - Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki:
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. - Safwan Hossain, Kiarash Jamali, Yuchen Li, Frank Rudzicz:
ChainGAN: A sequential approach to GANs. - Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers. - Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-ahead Exploration in Continuous Control. - Katie Lim, Jonathan Balkind, David Wentzlaff:
JuxtaPiton: Enabling Heterogeneous-ISA Research with RISC-V and SPARC FPGA Soft-cores. - Nicolae Paladi, Christian Gehrmann:
SDN Access Control for the Masses. - Akinori Hosoyamada, Yu Sasaki, Seiichiro Tani, Keita Xagawa:
Improved Quantum Multicollision-Finding Algorithm. - Ryo Nakamura, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura:
Another Diversity-Promoting Objective Function for Neural Dialogue Generation. - Yunlong Yu, Zhong Ji, Yanwei Pang, Jichang Guo, Zhongfei Zhang, Fei Wu:
Bi-Adversarial Auto-Encoder for Zero-Shot Learning. - Donghui Sun, Qing Zhang, Jun Yang:
Pyramid Embedded Generative Adversarial Network for Automated Font Generation. - Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang, Li-Juan Liu, Chen Liang, Li-Rong Dai:
Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision. - Hao Liu, Jingjing Wu, Jianguo Jiang, Meibin Qi, Bo Ren:
Sequence-based Person Attribute Recognition with Joint CTC-Attention Model. - Hua Chai:
Traffic-aware Threshold Adjustment for NFV Scaling using DDPG. - Yi Sun, Yan Tian, Yiping Xu:
Limited Gradient Descent: Learning With Noisy Labels. - Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
Explaining Latent Factor Models for Recommendation with Influence Functions. - Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor:
Adversarial Feedback Loop. - Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi:
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. - Maria Spichkova:
Formal FocusST Specification of CAN. - Pranav A:
Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection. - Sylvain Conchon, Amit Goel, Sava Krstic, Rupak Majumdar, Mattias Roux:
FAR-Cubicle - A new reachability algorithm for Cubicle. - Alban Reynaud, Gabriel Scherer, Jeremy Yallop:
A right-to-left type system for mutually-recursive value definitions. - Chao Chen, Sheng Zhang, Cuibing Du:
Learning to Detect Instantaneous Changes with Retrospective Convolution and Static Sample Synthesis. - Sergei Divakov, Ivan V. Oseledets:
Adversarial point set registration. - Alessandro Berti, Wil M. P. van der Aalst:
StarStar Models: Process Analysis on top of Databases. - Anton Kolonin, Ben Goertzel, Deborah Duong, Matt Iklé, Nejc Znidar:
Reputation System for Online Communities (in Russian). - Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Effect of Depth and Width on Local Minima in Deep Learning. - Rohit Gandikota, Deepak Mishra:
How You See Me. - Samaneh Siyar, Hamed Azarnoush, Saeid Rashidi, Alexandre Winkler-Schwartz, Vincent Bissonnette, Nirros Ponnudurai, Rolando F. Del Maestro:
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task. - Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa:
DeepZip: Lossless Data Compression using Recurrent Neural Networks. - (Withdrawn) Variance Suppression: Balanced Training Process in Deep Learning.
- Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. - Christian A. Mueller, Andreas Birk:
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation. - Lei Li, Changqing Zou, Youyi Zheng, Qingkun Su, Hongbo Fu, Chiew-Lan Tai:
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition. - Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. - Wolfgang Fischl, Georg Gottlob, Davide M. Longo, Reinhard Pichler:
HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings. - Yishuo Shi, Yingli Ran, Zhao Zhang, James Willson, Guangmo Tong, Ding-Zhu Du:
Approximation Algorithm for the Partial Set Multi-Cover Problem. - Fernando Martínez-Plumed, José Hernández-Orallo:
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them. - Thomas Roddick, Alex Kendall, Roberto Cipolla:
Orthographic Feature Transform for Monocular 3D Object Detection. - Suchi Kumari, Anurag Singh:
Effect of correlation on the traffic capacity of Time Varying Communication Network. - Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon:
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images. - Benedikt Bollig, Patricia Bouyer, Fabian Reiter:
Identifiers in Registers - Describing Network Algorithms with Logic. - Tianyi Wu, Sheng Tang, Rui Zhang, Yongdong Zhang:
CGNet: A Light-weight Context Guided Network for Semantic Segmentation. - Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. - Ce Jin:
Simulating Random Walks on Graphs in the Streaming Model. - Xing Hsu, Zhifeng Zhao, Rongpeng Li, Honggang Zhang:
Brain-Inspired Stigmergy Learning. - Christelle Marfaing, Alexandre Garcia:
Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization. - Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Contingency Training. - Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray:
A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images. - Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning. - Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self Organizing Classifiers and Niched Fitness. - Kar-Ann Toh:
Analytic Network Learning. - S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon:
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks. - Abhishek Bichhawat, Akash Trehan, Jean Yang, Matt Fredrikson:
ESTRELA: Automated Policy Enforcement Across Remote APIs. - Aude Le Gluher, Pierre-Jean Spaenlehauer:
A Fast Randomized Geometric Algorithm for Computing Riemann-Roch Spaces. - Lin Chen, Franziska Eberle, Nicole Megow, Kevin Schewior, Cliff Stein:
A general framework for handling commitment in online throughput maximization. - Martin Biehl:
Geometry of Friston's active inference. - Gloria Re Calegari, Irene Celino:
Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose. - Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound. - Shaohua Li, Kaiping Xue, Chenkai Ding, Xindi Gao, David S. L. Wei, Tao Wan, Feng Wu:
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions. - Qianlan Bai, Xinyan Zhou, Xing Wang, Yuedong Xu, Xin Wang, Qingsheng Kong:
A Deep Dive into Blockchain Selfish Mining. - Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Haoshu Fang, Yanfeng Wang, Cewu Lu:
Transferable Interactiveness Prior for Human-Object Interaction Detection. - Tomislav Petkovic, David Puljiz, Ivan Markovic, Björn Hein:
Human Intention Estimation based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses. - Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Lihong Wang:
Graph Convolutional Neural Networks via Motif-based Attention. - Jing Li, Zhitao Guan, Xiaojiang Du, Zijian Zhang, Zhenyu Zhou:
A Low-latency Secure Data Outsourcing Scheme for Cloud-WSN. - Vishal Sharma, Yongho Ko, Jiyoon Kim, Ilsun You:
Security management for backhaul-aware 5G-V2X. - Behzad Ghazanfari, Fatemeh Afghah, Matthew E. Taylor:
Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST). - Daniel J. Magee, Kyle E. Niemeyer:
Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems. - Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations. - Travis Desell:
Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization. - Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu:
An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes. - Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman:
A Two Phase Investment Game for Competitive Opinion Dynamics in Social Networks. - Giorgia Ramponi, Pavlos Protopapas, Marco Brambilla, Ryan Janssen:
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling. - Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet. - Md Aamir Raihan, Negar Goli, Tor M. Aamodt:
Modeling Deep Learning Accelerator Enabled GPUs. - Thommen George Karimpanal, Roland Bouffanais:
Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning. - Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. - Marc Bosch, Gordon A. Christie, Christopher M. Gifford:
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery. - Benjamin Danglot, Oscar Luis Vera-Pérez, Benoit Baudry, Martin Monperrus:
Automatic Test Improvement with DSpot: a Study with Ten Mature Open-Source Projects. - Bart Jacobs, Aleks Kissinger, Fabio Zanasi:
Causal Inference by String Diagram Surgery. - Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector. - Chaorong Li, Wei Huang, Huafu Chen:
LGLG-WPCA: An Effective Texture-based Method for Face Recognition. - Esteban Reyes, Cristopher Gómez, Esteban Norambuena, Javier Ruiz-del-Solar:
Near Real-Time Object Recognition for Pepper based on Deep Neural Networks Running on a Backpack. - Max Klimm, Philipp Warode:
Parametrized Nash Equilibria in Atomic Splittable Congestion Games via Weighted Block Laplacians. - Mirsad Cosovic:
Design and Analysis of Distributed State Estimation Algorithms Based on Belief Propagation and Applications in Smart Grids. - Kostantinos Papadamou, Savvas Zannettou, Giuseppe Bianchi, Alberto Caponi, Annamaria Recupero, Steven Gevers, George Gugulea, Sorin Teican, Bogdan Chifor, Christos Xenakis, Michael Sirivianos:
Killing the Password and Preserving Privacy with Device-Centric and Attribute-based Authentication. - Yunbo Wang, Zhiyu Yao, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition. - Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. - Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang:
On a hypergraph probabilistic graphical model. - Md. Mofijul Islam, Amar Debnath, Tahsin Al Sayeed, Jyotirmay Nag Setu, Md Mahmudur Rahman, Md Sadman Sakib, Md. Abdur Razzaque, Md. Mosaddek Khan, Swakkhar Shatabda:
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model. - Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia:
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. - Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu:
Locally Private Gaussian Estimation. - Ji Lin, Chuang Gan, Song Han:
Temporal Shift Module for Efficient Video Understanding. - Huan Wang, Qiming Zhang, Yuehai Wang, Haoji Hu:
Structured Pruning for Efficient ConvNets via Incremental Regularization. - Angela U. Makolo, Daniel K. Nkemelu:
Applying Cognitive Tutoring in the use of Bioinformatics Tools. - Kush Bhatia, Aldo Pacchiano, Nicolas Flammarion, Peter L. Bartlett, Michael I. Jordan:
Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized Eigenvector Computation. - Charlie Hewitt, Marwa Mahmoud:
Shape-only Features for Plant Leaf Identification. - Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. - Daniel K. Nkemelu, Daniel Omeiza, Nancy Lubalo:
Deep Convolutional Neural Network for Plant Seedlings Classification. - Qian Wang, Ning Jia, Toby P. Breckon:
A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. - Cristopher Gómez, Matías Mattamala, Tim Resink, Javier Ruiz-del-Solar:
Visual SLAM-based Localization and Navigation for Service Robots: The Pepper Case. - Ehsan Variani, Ananda Theertha Suresh, Mitchel Weintraub:
WEST: Word Encoded Sequence Transducers. - K. M. Deliparaschos, Spyros G. Tzafestas:
Design paradigms of intelligent control systems on a chip. - Ali Ahmed:
Blind Deconvolution using Modulated Inputs. - Oleksii Sidorov:
Artificial Color Constancy via GoogLeNet with Angular Loss Function. - Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim:
Intermediate Level Adversarial Attack for Enhanced Transferability. - Ruba Abu-Salma, Benjamin Livshits:
Evaluating the End-User Experience of Private Browsing Mode. - Diego E. Shalom, Gabriel B. Mindlin, Marcos Alberto Trevisan:
Fading of collective attention shapes the evolution of linguistic variants. - Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Anton Konushin:
Double Refinement Network for Efficient Indoor Monocular Depth Estimation. - Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson:
Stable Opponent Shaping in Differentiable Games. - Daniel S. Katz, Lois Curfman McInnes, David E. Bernholdt, Abigail Cabunoc Mayes, Neil P. Chue Hong, Jonah Duckles, Sandra Gesing, Michael A. Heroux, Simon Hettrick, Rafael C. Jiménez, Marlon E. Pierce, Belinda Weaver, Nancy Wilkins-Diehr:
Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained. - Ben Zion Vatashsky, Shimon Ullman:
VQA with no questions-answers training. - Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense. - Guannan He, Rebecca Ciez, Qixin Chen, Panayiotis Moutis, Soummya Kar, Jay F. Whitacre:
The Economic End of Life of Electrochemical Energy Storage. - Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. - Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti:
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? - Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. - Szymon Dudycz, Mateusz Lewandowski, Jan Marcinkowski:
Tight Approximation Ratio for Minimum Maximal Matching. - Sachin Taneja, Massimo Alioto:
Ultra-Low Power Crypto-Engine Based on Simon 32/64 for Energy- and Area-Constrained Integrated Systems. - Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour:
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. - Mathieu Dahan, Saurabh Amin, Patrick Jaillet:
Probability Distributions on Partially Ordered Sets and Network Security Games. - Li Li, Tegawendé F. Bissyandé, Jacques Klein:
Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark. - Scott Wisdom, John R. Hershey, Kevin W. Wilson, Jeremy Thorpe, Michael Chinen, Brian Patton, Rif A. Saurous:
Differentiable Consistency Constraints for Improved Deep Speech Enhancement. - Natan Ardimanov, Ofer Shayevitz, Itzhak Tamo:
Minimum Guesswork with an Unreliable Oracle. - Nils Gruschka, Vasileios Mavroeidis, Kamer Vishi, Meiko Jensen:
Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR. - Christoph Hunkenschröder, Gina Reuland, Matthias Schymura:
On compact representations of Voronoi cells of lattices. - Syed Shalan Naqvi, Muhammad Samir Khan, Nitin H. Vaidya:
Exact Byzantine Consensus Under Local-Broadcast Model. - Till S. Hartmann:
Seeing in the dark with recurrent convolutional neural networks. - Victor Verdugo, José Verschae:
Breaking symmetries to rescue Sum of Squares: The case of makespan scheduling. - Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford:
Model-Based Reinforcement Learning in Contextual Decision Processes. - Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. - Alexander Peysakhovich:
Reinforcement learning and inverse reinforcement learning with system 1 and system 2. - Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Binghui Chen, Xiubao Zhang:
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision. - Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. - Yong Liu, Lin Shang, Andy Song:
Adaptive Re-ranking of Deep Feature for Person Re-identification. - Zhiyan Cui, Na Lu:
Feature Selection Convolutional Neural Networks for Visual Tracking. - Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter:
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. - Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve:
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. - Robert Annessi, Joachim Fabini, Félix Iglesias, Tanja Zseby:
Encryption is Futile: Delay Attacks on High-Precision Clock Synchronization. - Nick Arnosti, S. Matthew Weinberg:
Bitcoin: A Natural Oligopoly. - Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou:
Unsupervised Single Image Deraining with Self-supervised Constraints. - Reza Rezaie, X. Rong Li:
Trajectory Modeling and Prediction with Waypoint Information Using a Conditionally Markov Sequence. - Utku Ozbulak, Wesley De Neve, Arnout Van Messem:
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. - Chuanxing Geng, Sheng-Jun Huang, Songcan Chen:
Recent Advances in Open Set Recognition: A Survey. - Ahmadreza Moradipari, Mahnoosh Alizadeh:
Electric Vehicle Charging Station Network Equilibrium Models and Pricing Schemes. - Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. - Changjian Li, Krzysztof Czarnecki:
Urban Driving with Multi-Objective Deep Reinforcement Learning. - Yoshinori Konishi, Kosuke Hattori, Manabu Hashimoto:
Real-Time 6D Object Pose Estimation on CPU. - Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei Lin:
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks. - Albert Haque, Michelle Guo, Adam S. Miner, Li Fei-Fei:
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions. - (Withdrawn) Learning to Attend Relevant Regions in Videos from Eye Fixations.
- Linnan Wang, Wei Wu, Yiyang Zhao, Junyu Zhang, Hang Liu, George Bosilca, Jack J. Dongarra, Maurice Herlihy, Rodrigo Fonseca:
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks. - Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Randomized Rank-Revealing UZV Decomposition for Low-Rank Approximation of Matrices. - Zhonghua Wu, Guosheng Lin, Qingyi Tao, Jianfei Cai:
M2E-Try On Net: Fashion from Model to Everyone. - Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-local Neural Networks for Sequence Learning. - Young-bin Kim, Myung Gil Kang, Wan Choi:
On-off Switched Interference Alignment for Diversity Multiplexing Tradeoff Improvement in the 2-User X-Network with Two Antennas. - Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu:
Neural Collective Entity Linking. - Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li:
Scene Text Detection with Supervised Pyramid Context Network. - Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu:
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. - Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu:
A Novel Integrated Framework for Learning both Text Detection and Recognition. - Jiajun Xu, Sam Huang:
Tetris. - Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits:
Unsupervised Multimodal Representation Learning across Medical Images and Reports. - Bruno Salvy:
Linear Differential Equations as a Data-Structure. - Jinhyeok Jang, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang:
Neural Networks with Activation Networks. - Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. - Zhaoqun Li, Cheng Xu, Biao Leng:
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval. - Andrew W. Stephan, Jiaxi Hu, Steven J. Koester:
Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing. - Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John W. Paisley:
A Deep Tree-Structured Fusion Model for Single Image Deraining. - Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada:
Compensated Integrated Gradients to Reliably Interpret EEG Classification. - Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. - Yaohua Xie, Danli Wang, Fang Sun:
How visual discomfort changes with horizontal viewing angle on stereoscopic display. - Shunya Yamashita, Takeshi Hatanaka, Junya Yamauchi, Masayuki Fujita:
Passivity-Based Generalization of Primal-Dual Dynamics for Non-Strictly Convex Cost Functions. - Wei Rong, Bowen Zhang, Xixiang Lv:
Malicious Web Request Detection Using Character-level CNN. - Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
On Intercept Probability Minimization under Sparse Random Linear Network Coding. - Gwang-Il Ri, Chol-Gyun Ri, Su-Rim Ji:
A Fingerprint Indexing Method Based on Minutia Descriptor and Clustering. - Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein, Davide Martino Raimondo:
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics. - Le Zhang, Songyou Peng, Stefan Winkler:
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship. - Tobias Urban, Dennis Tatang, Martin Degeling, Thorsten Holz, Norbert Pohlmann:
The Unwanted Sharing Economy: An Analysis of Cookie Syncing and User Transparency under GDPR. - Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. - Minchao Li, Shikui Tu, Lei Xu:
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. - Siddharth Barman, Sanath Kumar Krishnamurthy:
On the Proximity of Markets with Integral Equilibria. - Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. - Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves:
A state-space approach to sparse dynamic network reconstruction. - Rohitash Chandra, Konark Jain, Arpit Kapoor:
Surrogate-assisted parallel tempering for Bayesian neural learning. - Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
A Decision Support System for Public Research Organizations Participating in National Research Assessment Exercises. - Irene Giacomelli, Somesh Jha, Ross Kleiman, David Page, Kyonghwan Yoon:
Privacy-Preserving Collaborative Prediction using Random Forests. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Alessandro Caprasecca:
The contribution of star scientists to overall sex differences in research productivity. - Shahin Pourbahrami:
Improving PSO Global Method for Feature Selection According to Iterations Global Search and Chaotic Theory. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa, Marco Solazzi:
University-industry collaboration in Italy: a bibliometric examination. - Joewie J. Koh, Barton Rhodes:
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings. - Dmytro Pavlichenko, Diego Rodriguez, Max Schwarz, Christian Lenz, Arul Selvam Periyasamy, Sven Behnke:
Autonomous Dual-Arm Manipulation of Familiar Objects. - Christian Wilms, Simone Frintrop:
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects. - Ertugrul Basar:
Media-Based Modulation for Future Wireless Systems: A Tutorial. - Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. - Marc Bosch, Kevin Foster, Gordon A. Christie, Sean Wang, Gregory D. Hager, Myron Z. Brown:
Semantic Stereo for Incidental Satellite Images. - Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua:
Gated Context Aggregation Network for Image Dehazing and Deraining. - Michael Roberts, Jack A. Spencer:
Chan-Vese Reformulation for Selective Image Segmentation. - Barbara Plank, Sigrid Klerke, Zeljko Agic:
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging. - Khyatti Gupta, Sonam Damani, Kedhar Nath Narahari:
Using AI to Design Stone Jewelry. - Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor:
Dynamic-Net: Tuning the Objective Without Re-training. - Yutao Chen, Mattia Bruschetta, Enrico Picotti, Alessandro Beghi:
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. - Guy Andre Boy, Wei Tan:
Tablet-based Information System for Commercial Air-craft: Onboard Context-Sensitive Information System (OCSIS). - Etai Littwin, Lior Wolf:
Regularizing by the Variance of the Activations' Sample-Variances. - Conrad Sanderson, Ryan R. Curtin:
User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation. - Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. - Yan Leng, Xiaowen Dong, Alex Pentland:
Learning Quadratic Games on Networks. - Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Multi-layered Graph Embedding with Graph Convolutional Networks. - Yohsuke Murase, Hiroyasu Matsushima, Itsuki Noda, Tomio Kamada:
CARAVAN: a framework for comprehensive simulations on massive parallel machines. - Mayuri Sridhar, Ronald L. Rivest:
k-Cut: A Simple Approximately-Uniform Method for Sampling Ballots in Post-Election Audits. - Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Adversarial Classifier for Imbalanced Problems. - Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do:
Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. - Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. - Ángel F. García-Fernández, Lennart Svensson:
Trajectory PHD and CPHD filters. - Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. - Jannick P. Rolland, Ozan Cakmakci, Jeff Covelli, Cali M. Fidopiastis, Florian Fournier, Ricardo Martins, Felix G. Hamza-Lup, Denise M. Nicholson:
Beyond the Desktop: Emerging Technologies for Supporting 3D Collaborative Teams. - Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li:
A Survey on Spark Ecosystem for Big Data Processing. - Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. - Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui:
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - Sejin Park, Woochan Hwang, Kyu-Hwan Jung:
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays. - Zhe Xu, Melkior Ornik, A. Agung Julius, Ufuk Topcu:
Information-Guided Temporal Logic Inference with Prior Knowledge. - Hans-Peter Deifel, Stefan Milius, Lutz Schröder, Thorsten Wißmann:
CoPaR: An Efficient Generic Partition Refiner. - Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. - Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven:
Wearable affect and stress recognition: A review. - Shali Jiang, Gustavo Malkomes, Benjamin Moseley, Roman Garnett:
Efficient nonmyopic active search with applications in drug and materials discovery. - Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-training. - Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization. - Difan Zou, Yuan Cao, Dongruo Zhou, Quanquan Gu:
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks. - Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora:
Learning from Multiview Correlations in Open-Domain Videos. - Alexander Grigoriev, Tim A. Hartmann, Stefan Lendl, Gerhard J. Woeginger:
Dispersing obnoxious facilities on a graph. - Runzhou Ge, Jiyang Gao, Kan Chen, Ram Nevatia:
MAC: Mining Activity Concepts for Language-based Temporal Localization. - Heng Wu, Xiongfei Wang:
Instability Effect of PLL on Voltage-Source Converters during Grid Faults: Large-Signal Modeling and Design-Oriented Analysis. - Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. - Jonathan S. Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt:
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. - Halil Mutuk:
A Neural Network Study of Blasius Equation. - The DeepRadiology Team:
Pneumonia Detection in Chest Radiographs. - Marco Secondini, Erik Agrell, Enrico Forestieri, Domenico Marsella, Menelaos Ralli Camara:
Nonlinearity Mitigation in WDM Systems: Models, Strategies, and Achievable Rates. - Changhee Lee, Nicholas Mastronarde, Mihaela van der Schaar:
Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning. - Xiaopeng Li, Xianshan Qu, Wenyuan Xu, Song Wang, Yan Tong, Lannan Luo:
Validating the Contextual Information of Outdoor Images for Photo Misuse Detection. - Mohammad Almseidin, Mouhammd Alkasassbeh, Szilveszter Kovács:
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality. - Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone:
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots. - Ganapathy S. Natarajan, Aishwarya Ashok:
Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks. - Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Low-Resolution Face Recognition. - Siddharth Karamcheti, Gideon Mann, David S. Rosenberg:
Improving Grey-Box Fuzzing by Modeling Program Behavior. - Guojun Liao, Jie Liu:
Multi-Block Grid deformation Method in 3D. - Mark Braverman, Brendan Juba:
The Price of Uncertain Priors in Source Coding. - Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. - Shafin Rahman, Salman H. Khan, Nick Barnes:
Polarity Loss for Zero-shot Object Detection. - Chao Zhai, Gaoxi Xiao, Hehong Zhang, Tso-Chien Pan:
Risk Identification of Power Transmission System with Renewable Energy. - Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas:
Supervised Fitting of Geometric Primitives to 3D Point Clouds. - Shipeng Wang, Jian Sun, Zongben Xu:
HyperAdam: A Learnable Task-Adaptive Adam for Network Training. - Dantong Ge, Melkior Ornik, Ufuk Topcu:
Robust Myopic Control for Systems with Imperfect Observations. - Fenglei Fan, Dayang Wang, Ge Wang:
Universal Approximation by a Slim Network with Sparse Shortcut Connections. - Muhammad Usama, Dong Eui Chang:
Towards Robust Neural Networks with Lipschitz Continuity. - Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. - Feiran Li, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara:
Multi-View Inpainting for RGB-D Sequence. - Ehsan Imani, Eric Graves, Martha White:
An Off-policy Policy Gradient Theorem Using Emphatic Weightings. - Paolo Masci, Rosemary Monahan, Virgile Prevosto:
Proceedings 4th Workshop on Formal Integrated Development Environment, F-IDE@FLoC 2018, Oxford, England, 14 July 2018. EPTCS 284, 2018 [contents] - Erfan Farhangi Maleki, Nasser Ghadiri, Maryam Lotfi Shahreza, Zeinab Maleki:
Scalable Label Propagation Algorithms for Heterogeneous Networks. - Yibing Song, Jiawei Zhang, Lijun Gong, Shengfeng He, Linchao Bao, Jinshan Pan, Qingxiong Yang, Ming-Hsuan Yang:
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement. - Muzammal Naseer, Salman Hameed Khan, Shafin Rahman, Fatih Porikli:
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. - Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang:
Three-dimensional Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks. - Gitanjali Baral, Nalin Asanka Gamagedara Arachchilage:
Building Confidence not to be Phished through a Gamified Approach: Conceptualising User's Self-Efficacy in Phishing Threat Avoidance Behaviour. - Priyank Agrawal, Theja Tulabandhula:
Bandits with Temporal Stochastic Constraints. - André Linhares, Neil Olver, Chaitanya Swamy, Rico Zenklusen:
Approximate Multi-Matroid Intersection via Iterative Refinement. - Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Data Augmentation using Random Image Cropping and Patching for Deep CNNs. - Isidro Cortes-Ciriano, Andreas Bender:
KekuleScope: improved prediction of cancer cell line sensitivity using convolutional neural networks trained on compound images. - Peng Jiang, Zhiyi Pan, Nuno Vasconcelos, Baoquan Chen, Jingliang Peng:
Super Diffusion for Salient Object Detection. - Ziv Katzir, Yuval Elovici:
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. - Yasushi Kawase, Yusuke Kobayashi, Yutaro Yamaguchi:
Tight Approximation for Unconstrained XOS Maximization. - Ranesh Kumar Naha, Saurabh Kumar Garg, Andrew Chan:
Fog Computing Architecture: Survey and Challenges. - Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang:
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections. - Zhida Huang, Zhuoyao Zhong, Lei Sun, Qiang Huo:
Mask R-CNN with Pyramid Attention Network for Scene Text Detection. - Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. - Kehinde Owoeye, Stephen Hailes:
Online Collective Animal Movement Activity Recognition. - Mazen Alamir:
On the use of supervised clustering in stochastic NMPC design. - Georg Moser, Manuel Schneckenreither:
Automated Amortised Resource Analysis for Term Rewrite Systems. - Sebastian Zambanini:
Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps. - Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus:
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. - Vincel Hoang Ngoc Minh, Quoc Hoan Ngô, Gérard Henry Edmond Duchamp, V. Hoang, Ngoc Minh, Ngo Quoc, Phan Dang Luu, Kien An, Hai Phong, Viet Nam:
Kleene stars of the plane, polylogarithms and symmetries. - Xixian Zhang, Zhijing Yang, Faxian Cao, Jiang-Zhong Cao, Meilin Wang, Nian Cai:
Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm. - Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley:
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time. - Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras:
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs. - Raquel Vidaurre, Dan Casas, Elena Garces, Jorge Lopez-Moreno:
BRDF Estimation of Complex Materials with Nested Learning. - Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof:
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. - Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. - Pinghui Wang, Peng Jia, Yiyan Qi, Yu Sun, Jing Tao, Xiaohong Guan:
REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel. - Chaoping Xing, Chen Yuan:
Construction of optimal locally recoverable codes and connection with hypergraph. - Simon Doherty, Brijesh Dongol, Heike Wehrheim, John Derrick:
Verifying C11 Programs Operationally. - Katarzyna Kapusta, Gérard Memmi:
PE-AONT: Partial Encryption combined with an All-or-Nothing Transform. - Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng:
MGANet: A Robust Model for Quality Enhancement of Compressed Video. - Michaël David, Alexis Aubry, William Derigent:
Towards energy efficient buildings: how ICTs can convert advances? - Håvard Bakke Bjerkevik, Magnus Bakke Botnan, Michael Kerber:
Computing the interleaving distance is NP-hard. - Richard I. Hartley, Thalaiyasingam Ajanthan:
Generalized Range Moves. - Huiwen Dong, Jing Yu, Chuangbai Xiao:
Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal. - Tayane Silva Fernandes de Moura, Leonardo Gresta Paulino Murta:
Uma técnica para a quantificação do esforço de merge. - Jean-Benoit Delbrouck, Stéphane Dupont:
Object-oriented Targets for Visual Navigation using Rich Semantic Representations. - Hans Liljestrand, Thomas Nyman, Kui Wang, Carlos Chinea Perez, Jan-Erik Ekberg, N. Asokan:
PAC it up: Towards Pointer Integrity using ARM Pointer Authentication. - Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self Paced Adversarial Training for Multimodal Few-shot Learning. - Mahesh B. Patil:
Using External Archive for Improved Performance in Multi-Objective Optimization. - Meer Suri, Stefano Rini:
The Statistical Dictionary-based String Matching Problem. - Alexander Hinsen, Christian Hirsch, Benedikt Jahnel, Elie Cali:
The typical cell in anisotropic tessellations. - Anas Shrinah, Kerstin Eder:
Verification of Planning Domain Models - Revisited. - Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Christian Coester, Lukasz Jez, Elias Koutsoupias:
Better Bounds for Online Line Chasing. - Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim:
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization. - Yicheng Liao, Xiongfei Wang:
Impedance-Based Stability Analysis for Interconnected Converter Systems with Open-Loop RHP Poles. - Umit Karabiyik, Kemal Akkaya:
Digital Forensics for IoT and WSNs. - Reinald Kim Amplayo, Seung-won Hwang, Min Song:
AutoSense Model for Word Sense Induction. - Dongyang Kuang, Tanya Schmah:
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration. - Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea G. Rockall:
Automatic L3 slice detection in 3D CT images using fully-convolutional networks. - Masaki Saito, Shunta Saito:
TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers. - David Manheim:
Oversight of Unsafe Systems via Dynamic Safety Envelopes. - Martin Koehler, Alex Bogatu, Cristina Civili, Nikolaos Konstantinou, Edward Abel, Alvaro A. A. Fernandes, John A. Keane, Leonid Libkin, Norman W. Paton:
Data Context Informed Data Wrangling. - Jesse Beisegel, Carolin Denkert, Ekkehard Köhler, Matjaz Krnc, Nevena Pivac, Robert Scheffler, Martin Strehler:
Recognizing Graph Search Trees. - Emre Ozfatura, Sennur Ulukus, Deniz Gündüz:
Distributed Gradient Descent with Coded Partial Gradient Computations. - (Withdrawn) Building the Case for Temperature Awareness in Energy Consumption Models: an Application of the Energy-Frequency Convexity Rule.
- Jan Trienes, Andrés Torres Cano, Djoerd Hiemstra:
Recommending Users: Whom to Follow on Federated Social Networks. - Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles. - Edward Givelberg:
A solution to the problem of parallel programming. - Sergey Parsegov, Pavel Chebotarev:
Second-Order Agents on Ring Digraphs. - Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. - Bharath Gopalakrishnan, Arun Kumar Singh, K. Madhava Krishna, Dinesh Manocha:
Solving Chance Constrained Optimization under Non-Parametric Uncertainty Through Hilbert Space Embedding. - Carl Rietschel, Jinsung Yoon, Mihaela van der Schaar:
Feature Selection for Survival Analysis with Competing Risks using Deep Learning. - Cyril Grunspan, Ricardo Pérez-Marco:
On Profitability of Trailing Mining. - Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks with Budget-Aware Regularization. - Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. - Ruizhe Zhao, Wayne Luk:
Learning Grouped Convolution for Efficient Domain Adaptation. - Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi:
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. - Rafael Teixeira Sousa, Lucas A. Pereira, Anderson da Silva Soares:
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks. - Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Unsupervised Word Discovery with Segmental Neural Language Models. - Jianfeng Zhou, Tao Jiang, Lin Li, Qingyang Hong, Zhe Wang, Bingyin Xia:
Training Multi-Task Adversarial Network For Extracting Noise-Robust Speaker Embedding. - Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. - Yang You, Yujing Lou, Qi Liu, Lizhuang Ma, Weiming Wang, Yu-Wing Tai, Cewu Lu:
PRIN: Pointwise Rotation-Invariant Network. - Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors. - Younggun Lee, Taesu Kim:
Learning pronunciation from a foreign language in speech synthesis networks. - Riddhiman Dasgupta, Balaji Ganesan, Aswin Kannan, Berthold Reinwald, Arun Kumar:
Fine Grained Classification of Personal Data Entities. - Yu Cheng, Ilias Diakonikolas, Rong Ge:
High-Dimensional Robust Mean Estimation in Nearly-Linear Time. - Isidoros Rodomagoulakis, Petros Maragos:
Improved Frequency Modulation Features for Multichannel Distant Speech Recognition. - Anas Abou Allaban, Velin D. Dimitrov, Taskin Padir:
A Blended Human-Robot Shared Control Framework to Handle Drift and Latency. - Robert Mieth, Yury Dvorkin:
Online Learning for Network Constrained Demand Response Pricing in Distribution Systems. - Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal:
On the Importance of Strong Baselines in Bayesian Deep Learning. - Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. - Rohit Gandikota:
The Child Prodigies of IEEE 802.11 Family. - Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey:
Temporally Coherent GANs for Video Super-Resolution (TecoGAN). - Ashok Krishnan, Bhagyesh V. Patil, Yi Shyh Eddy Foo:
Optimal Scheduling of Multi-Energy Systems with Flexible Electrical and Thermal Loads. - Jinglu Wang, Bo Sun, Yan Lu:
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image. - Laurent Bulteau, Niels Grüttemeier, Christian Komusiewicz, Manuel Sorge:
Your Rugby Mates Don't Need to Know your Colleagues: Triadic Closure with Edge Colors. - (Withdrawn) Feedback based Mobility Control Algorithm for Maximizing Node Coverage by Drone Base Stations.
- Antoine Neuraz, Leonardo Campillos-Llanos, Anita Burgun, Sophie Rosset:
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context. - Daniele D'Angeli, Emanuele Rodaro, Jan Philipp Wächter:
On the Structure Theory of Partial Automaton Semigroups. - Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan:
Joint Neural Architecture Search and Quantization. - Michael R. Fellows, Lars Jaffke, Aliz Izabella Király, Frances A. Rosamond, Mathias Weller:
What is known about Vertex Cover Kernelization? - Petr Kucera, Petr Savický:
Backdoor Decomposable Monotone Circuits and their Propagation Complete Encodings. - Alessandro Trindade, Lucas C. Cordeiro:
Automated Verification of Stand-alone Solar Photovoltaic Systems. - Van-Thuan Pham, Marcel Böhme, Andrew E. Santosa, Alexandru Razvan Caciulescu, Abhik Roychoudhury:
Smart Greybox Fuzzing. - Anantha Padmanabha, R. Ramanujam:
Propositional modal logic with implicit modal quantification. - Sagar Massand, Swaprava Nath:
Quantifying Filter Bubbles: Analyzing Surprise in Elections. - Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. - Meng Lan, Yipeng Zhang, Lefei Zhang, Bo Du:
Defect Detection from UAV Images based on Region-Based CNNs. - Gaopeng Jian:
A class of linear codes with few weights. - Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. - Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. - Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-preserving Transfer Learning for Knowledge Sharing. - Christian Schön, Jens Dittrich, Richard Müller:
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error. - Georg Poier, Michael Opitz, David Schinagl, Horst Bischof:
MURAUER: Mapping Unlabeled Real Data for Label AUstERity. - Jia Li, Junjie Wu, Anlin Zheng, Yafei Song, Yu Zhang, Xiaowu Chen:
Complementary Segmentation of Primary Video Objects with Reversible Flows. - Erixhen Sula, Michael Gastpar, Gerhard Kramer:
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. - Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz, C. Maria Keet:
Competency Questions and SPARQL-OWL Queries Dataset and Analysis. - Steve Alpern, Viciano Lee:
A Game Model of Search and Pursuit. - Elias Baumann, Josef Lorenz Rumberger:
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers. - Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
An Interpretable Model for Scene Graph Generation. - Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. - Abbas Rahimi, Tony F. Wu, Haitong Li, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra:
Hyperdimensional Computing Nanosystem. - Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling:
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. - Jonatan Grimm, Katja Herzog, Florian Rist, Anna Kicherer, Reinhard Töpfer, Volker Steinhage:
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks. - Amina Houari:
Contributions to Biclustering of Microarray Data Using Formal Concept Analysis. - Yipeng Qin, Niloy J. Mitra, Peter Wonka:
Do GAN Loss Functions Really Matter? - Kalliopi Basioti, George V. Moustakides, Emmanouil Z. Psarakis:
Kernel-Based Training of Generative Networks. - Aditya Sundararajan, Tanwir Khan, Amir Moghadasi, Arif I. Sarwat:
A Survey on Synchrophasor Data Quality and Cybersecurity Challenges, and Evaluation of their Interdependencies. - Leah Epstein:
A lower bound for online rectangle packing. - Si Zuo, Zhimin Xu:
A Hierarchical Neural Network for Sequence-to-Sequences Learning. - Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. - Vladimir Edemskiy:
About the k-Error Linear Complexity over Fp of sequences of length 2p with optimal three-level autocorrelation. - Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. - Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. - Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh:
Model-Based Reinforcement Learning for Sepsis Treatment. - Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada:
Towards Emotion Recognition: A Persistent Entropy Application. - Shenlong Lou, Yan Luo, Qiancong Fan, Feng Chen, Yiping Chen, Cheng Wang, Jonathan Li:
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network. - Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse:
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. - Orcun Karaca, Maryam Kamgarpour:
Core-Selecting Mechanisms in Electricity Markets. - Hady Ahmady Phoulady, Peter R. Mouton:
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection. - M. H. R. Khouzani, Pasquale Malacaria:
Generalised Entropies and Metric-Invariant Optimal Countermeasures for Information Leakage under Symmetric Constraints. - Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne:
Hierarchical visuomotor control of humanoids. - Mehrdad Saadatmand:
IntegrationDistiller: Automating Integration Analysis and Testing of Object-Oriented Applications. - Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki:
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database. - Gregory L. Heileman, Chaouki T. Abdallah, Ahmad Slim, Michael Hickman:
Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations. - Yi Lucy Wang, Bhaskar Krishnamachari:
Enhancing Engagement in Token-Curated Registries via an Inflationary Mechanism. - Ahmad S. Tarawneh, Ceyhun Celik, Ahmad Basheer Hassanat, Dmitry Chetverikov:
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study. - Mandeep Singh Kandhari, Farhana H. Zulkernine, Haruna Isah:
A Voice Controlled E-Commerce Web Application. - Dharmendra Kumar Mishra, Aicha Sekhari, Yacine Ouzrout, Ajay Shrestha, Abdelaziz Bouras:
Towards Realizing the Smart Product Traceability System. - Ishaque Ashar Kadampot, Mehrdad Tahmasbi, Matthieu R. Bloch:
Multilevel-Coded Pulse-Position Modulation for Covert Communications over Binary-Input Discrete Memoryless Channels. - Hossein Adeli, Gregory J. Zelinsky:
Learning to attend in a brain-inspired deep neural network. - Jooyeon Kim, Dongkwan Kim, Alice Oh:
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks. - Gautam Srivastava, Andrew Fisher, Robert Bryce, Jorge Crichigno:
Green Communication with Geolocation. - Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh:
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting. - Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via curvature regularization, and vice versa. - Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar:
Representer Point Selection for Explaining Deep Neural Networks. - Tarek Elgamal, Atul Sandur, Klara Nahrstedt, Gul Agha:
Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement. - Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati:
Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. - Xingpeng Li, Kory W. Hedman:
Data Driven Linearized AC Power Flow Model with Regression Analysis. - Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis:
Generate, Segment and Replace: Towards Generic Manipulation Segmentation. - Ashkan Aghdai, Michael I.-C. Wang, Yang Xu, Charles H.-P. Wen, H. Jonathan Chao:
In-network Congestion-aware Load Balancing at Transport Layer. - Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei W. Hwu:
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments. - Sisheng Liang, Long Hoang Nguyen, Fang Jin:
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. - Abdul Dakkak, Cheng Li, Isaac Gelado, Jinjun Xiong, Wen-Mei W. Hwu:
Accelerating Reduction and Scan Using Tensor Core Units. - Abdul Dakkak, Cheng Li, Abhishek Srivastava, Jinjun Xiong, Wen-Mei W. Hwu:
MLModelScope: Evaluate and Measure ML Models within AI Pipelines. - Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. - Zhongwen Zhang, Egor Chesakov, Dmitrii Marin, Yuri Boykov:
Divergence Prior and Vessel-tree Reconstruction. - Siddique Latif, Muhammad Asim, Muhammad Usman, Junaid Qadir, Rajib Rana:
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks. - Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell:
Characterizing and Avoiding Negative Transfer. - Xinzhi Wang, Shengcheng Yuan, Hui Zhang, Yi Liu:
Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models. - Minhae Kwon, Juhyeon Lee, Hyunggon Park:
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach. - Pak Lun Kevin Ding, Yikang Li, Baoxin Li:
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. - Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari, Yoshua Bengio:
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation. - Hoang Pham, Jason W. Woodworth, Mohsen Amini Salehi:
Survey on Secure Search Over Encrypted Data on the Cloud. - Heinrich Söbke, Maria Reichelt:
Sewer Rats in Teaching Action: An explorative field study on students' perception of a game-based learning app in graduate engineering education. - Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang:
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal. - Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter M. Hall, Shi-Min Hu:
What and Where: A Context-based Recommendation System for Object Insertion. - Aigul Nugmanova, Andrei Smirnov, Galina Lavrentyeva, Irina Chernykh:
Strategy of the Negative Sampling for Training Retrieval-Based Dialogue Systems. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Recurrently Controlled Recurrent Networks. - Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris:
Senti-Attend: Image Captioning using Sentiment and Attention. - Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu, Rui Guo:
Spatio-Temporal Road Scene Reconstruction using Superpixel MRF. - Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon:
Discriminative Feature Learning for Unsupervised Video Summarization. - Rafael Román Otero, Alex A. Aravind:
MiniOS: an instructional platform for teaching operating systems labs. - Hyeoncheol Cho, Insung S. Choi:
Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation. - Dahun Kim, Donghyeon Cho, In So Kweon:
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. - Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora:
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks. - Karan N. Chadha, Ankur A. Kulkarni:
On Independent Cliques and Linear Complementarity Problems. - Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. - Aditya Grover, Tudor Achim, Stefano Ermon:
Streamlining Variational Inference for Constraint Satisfaction Problems. - Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar:
Design and analysis adaptivity in multi-resolution topology optimization. - Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Bing-Bing Bian, Yu-shu Ying:
Object Detection based Deep Unsupervised Hashing. - Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo:
Evolutionary-Neural Hybrid Agents for Architecture Search. - Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Yanfeng Sun, Liping Jing, Jian Yu:
Attention, Please! Adversarial Defense via Attention Rectification and Preservation. - Ziyao Tang, Yongxi Lu, Tara Javidi:
Efficient Video Understanding via Layered Multi Frame-Rate Analysis. - Alexandra Dumitrescu, Simone Santini:
Novelty and Coverage in context-based information filtering. - Ivano Salvo, Agnese Pacifico:
Three Euler's Sieves and a Fast Prime Generator (Functional Pearl). - Guozhu Dong, Sai Kiran Pentukar:
OCLEP+: One-class Anomaly and Intrusion Detection Using Minimal Length of Emerging Patterns. - Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor:
Keep Drawing It: Iterative language-based image generation and editing. - Luo Jiang, Juyong Zhang, Bailin Deng:
Robust RGB-D Face Recognition Using Attribute-Aware Loss. - Ravi Shankar, Ritesh Kumar Mishra:
Outage Probability Analysis of Selective-Decode and Forward Cooperative Wireless Network over Time Varying Fading Channels with Node Mobility and Imperfect CSI Condition. - Simon Urli, Zhongxing Yu, Lionel Seinturier, Martin Monperrus:
How to Design a Program Repair Bot? Insights from the Repairnator Project. - Yabin Zhu, Chenglong Li, Yijuan Lu, Liang Lin, Bin Luo, Jin Tang:
FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking. - Maxim Naumov, Utku Diril, Jongsoo Park, Benjamin Ray, Jedrzej Jablonski, Andrew Tulloch:
On Periodic Functions as Regularizers for Quantization of Neural Networks. - Tao Chen, Adithyavairavan Murali, Abhinav Gupta:
Hardware Conditioned Policies for Multi-Robot Transfer Learning. - Tomer Ezra, Michal Feldman, Eric Neyman, Inbal Talgam-Cohen, S. Matthew Weinberg:
Complement-Free Couples Must Communicate: A Hardness Result for Two-Player Combinatorial Auctions. - Vitalii Roman'kov:
Cryptographic analysis of the Modified Matrix Modular Cryptosystem. - Vaibhav Mathur, Karanbir Chahal:
Hydra: A Peer to Peer Distributed Training & Data Collection Framework. - Onur Çagirici:
Axes-parallel unit disk graph recognition is NP-hard. - Neng Wan, Dapeng Li, Naira Hovakimyan:
Sensitivity Analysis of Continuous-Time Linear Control Systems subject to Control and Measurement Noise: An Information-Theoretic Approach. - Neng Wan, Dapeng Li, Naira Hovakimyan:
A Simplified Approach to Analyze Complementary Sensitivity Trade-offs in Continuous-Time and Discrete-Time Systems. - Linan Zhang, Hayden Schaeffer:
Forward Stability of ResNet and Its Variants. - Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy:
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. - Shefali Srivastava, Abhimanyu Chopra, Arun C. S. Kumar, Suchendra M. Bhandarkar, Deepak Sharma:
Matching Disparate Image Pairs Using Shape-Aware ConvNets. - Amey Kasar:
Benchmarking and Comparing Popular Visual SLAM Algorithms. - Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh:
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. - Sriram Gopalakrishnan, Subbarao Kambhampati:
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains. - Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh:
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning. - Arash Haddadan, Alantha Newman:
Polynomial-time algorithms for 2-edge-connected subgraphs on fundamental classes by top-down coloring. - Haokui Zhang, Ying Li, Peng Wang, Yu Liu, Chunhua Shen:
RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks. - Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide:
Steady-state Non-Line-of-Sight Imaging. - Aaron Huang, Benjamin J. Ayton, Brian C. Williams:
RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning. - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Xiaohui Xie, Yen-Yu Lin, Wei Fan:
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation. - Bo Zhang, Bin Chen, Jinyu Yang, Wenjing Yang, Jiankang Zhang:
An Unified Intelligence-Communication Model for Multi-Agent System Part-I: Overview. - Ido Nachum, Amir Yehudayoff:
Average-Case Information Complexity of Learning. - Guannan He, Da Zhang, Xidong Pi, Qixin Chen, Soummya Kar, Jay F. Whitacre:
Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief. - Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou:
PCGAN: Partition-Controlled Human Image Generation. - Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard:
A multi-dimensional extension of the Lightweight Temporal Compression method. - Fei Xue, Qiuyuan Wang, Xin Wang, Wei Dong, Junqiu Wang, Hongbin Zha:
Guided Feature Selection for Deep Visual Odometry. - Qianhao Zhang, Alexander Mai, Joseph Menke, Allen Y. Yang:
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks. - Muhammad Saad, Laurent Njilla, Charles A. Kamhoua, Aziz Mohaisen:
Countering Selfish Mining in Blockchains. - Ashar Ahmad, Muhammad Saad, Mostafa A. Bassiouni, Aziz Mohaisen:
Towards Blockchain-Driven, Secure and Transparent Audit Logs. - Thomas Sandholm, Bernardo A. Huberman:
A Learning Approach to Wi-Fi Access. - Edward Chou, Matthew Tan, Cherry Zou, Michelle Guo, Albert Haque, Arnold Milstein, Li Fei-Fei:
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images. - Edward Chou, Thao Nguyen, Josh Beal, Albert Haque, Li Fei-Fei:
A Fully Private Pipeline for Deep Learning on Electronic Health Records. - Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei:
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. - Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu:
Online Newton Step Algorithm with Estimated Gradient. - Gurunath Reddy M., Tanumay Mandal, Krothapalli Sreenivasa Rao:
Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning. - Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu:
Deep RNN Framework for Visual Sequential Applications. - Zhipeng Cai, Tat-Jun Chin, Álvaro Parra Bustos, Konrad Schindler:
Practical optimal registration of terrestrial LiDAR scan pairs. - Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj:
Learning Sound Events From Webly Labeled Data. - Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang:
Graph Learning-Convolutional Networks. - Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran:
Joint State Estimation and Communication over a State-Dependent Gaussian Multiple Access Channel. - Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu:
Temporal Bilinear Networks for Video Action Recognition. - Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. - Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli:
Is Data Clustering in Adversarial Settings Secure? - Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli:
Poisoning Behavioral Malware Clustering. - Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, Yi-Ping Hung:
Learning Conditional Random Fields with Augmented Observations for Partially Observed Action Recognition. - Andrew Adamatzky:
The dry history of liquid computers. - Pramod C. Mane, Kapil Ahuja, Nagarajan Krishnamurthy:
Externalities in Socially-Based Resource Sharing Network. - Shiming Ge, Shengwei Zhao, Chenyu Li, Jia Li:
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation. - Yongkun Li, Helen H. W. Chan, Patrick P. C. Lee, Yinlong Xu:
Enabling Efficient Updates in KV Storage via Hashing: Design and Performance Evaluation. - Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu:
Non-local RoI for Cross-Object Perception. - Dinh Nguyen Van, Shijian Lu, Shangxuan Tian, Nizar Ouarti, Mounir Mokhtari:
A pooling based scene text proposal technique for scene text reading in the wild. - Jia Li, Daowei Li, Kui Fu, Long Xu:
Visual Attention on the Sun: What Do Existing Models Actually Predict? - Yashaswini Murthy:
Nonlinear Dynamics of Binocular Rivalry: A Comparative Study. - Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo:
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking. - Aditya Arun, C. V. Jawahar, M. Pawan Kumar:
Dissimilarity Coefficient based Weakly Supervised Object Detection. - Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper:
Background Subtraction with Real-time Semantic Segmentation. - Yaochen Li, Ying Liu, Rui Sun, Rui Guo, Li Zhu, Yong Qi:
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval. - Charalampos Saitis, Kyriaki Kalimeri:
Multimodal Classification of Stressful Environments in Visually Impaired Mobility Using EEG and Peripheral Biosignals. - (Withdrawn) Flow Based Efficient Data Gathering in Wireless Sensor Network Using Path-Constrained Mobile Sink.
- James Stovold, Simon O'Keefe, Jon Timmis:
Cognitively-inspired homeostatic architecture can balance conflicting needs in robots. - Otger Rogla Pujalt, Núria Pelechano Gómez, Gustavo Patow:
Procedural Crowd Generation for Semantically Augmented Virtual Cities. - Antoine Fond:
Joint Facade Registration and Segmentation for Urban Localization. - Daegeon Kim, Huy Kang Kim:
Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis. - Alexander Selvikvåg Lundervold, Arvid Lundervold:
An overview of deep learning in medical imaging focusing on MRI. - Victor Magron, Mohab Safey El Din:
On Exact Polya, Hilbert-Artin and Putinar's Representations. - Andrey Kuehlkamp, Kevin W. Bowyer:
Predicting Gender from Iris Texture May Be Harder Than It Seems. - Andrey Kuehlkamp, Allan da Silva Pinto, Anderson Rocha, Kevin W. Bowyer, Adam Czajka:
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection. - Amichai Painsky, Saharon Rosset, Meir Feder:
Innovation Representation of Stochastic Processes with Application to Causal Inference. - Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Amit P. Sheth:
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application. - Roman Snytsar, Yatish Turakhia:
Parallel approach to sliding window sums. - Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent:
Learning to discover and localize visual objects with open vocabulary. - Lakhan Shiva Kamireddy:
Real-Time Systems Modeling and Analysis. - Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. - Rakesh Chaturvedi, Sneihil Gopal, Sanjit Krishnan Kaul:
Welfare Analysis of Network Neutrality Regulation. - Johanna Hansen, Kyle Kastner, Aaron C. Courville, Gregory Dudek:
Planning in Dynamic Environments with Conditional Autoregressive Models. - Yichun Shi, Debayan Deb, Anil K. Jain:
WarpGAN: Automatic Caricature Generation. - Johanna Hansen, Sandeep Manjanna, Alberto Quattrini Li, Ioannis M. Rekleitis, Gregory Dudek:
Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields. - Ben Hutchinson, Margaret Mitchell:
50 Years of Test (Un)fairness: Lessons for Machine Learning. - Abhay Koushik, Judith Amores, Pattie Maes:
Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG. - Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz:
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. - Marcos Cardinot, Josephine Griffith, Colm O'Riordan, Matjaz Perc:
Cooperation in the spatial prisoner's dilemma game with probabilistic abstention. - Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward:
Recovery guarantees for polynomial approximation from dependent data with outliers. - Marcos Cardinot, Colm O'Riordan, Josephine Griffith, Matjaz Perc:
Evoplex: A platform for agent-based modeling on networks. - Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Variational End-to-End Navigation and Localization. - Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen:
A Survey of Mobile Computing for the Visually Impaired. - Abhishek Sharma:
Foreground Clustering for Joint Segmentation and Localization in Videos and Images. - Ariel Noyman, Tobias Holtz, Johannes Kröger, Jörg Rainer Noennig, Kent Larson:
Finding Places: HCI Platform for Public Participation in Refugees Accommodation Process. - Richard Wood, Alexander McGlashan, Chang Bum Moon, Woo Young Kim:
Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability. - Wei Gao, Russ Tedrake:
FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization. - Yang Fu, Yunchao Wei, Guanshuo Wang, Xi Zhou, Honghui Shi, Thomas S. Huang:
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification. - Zhi-Qin John Xu:
Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application. - Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji:
Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration. - Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. - Yijun Yuan, Haofei Kuang, Sören Schwertfeger:
Fast Gaussian Process Occupancy Maps. - Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
A Policy Gradient Method with Variance Reduction for Uplift Modeling. - Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic:
An Unknown Input Multi-Observer Approach for Estimation, Attack Isolation, and Control of LTI Systems under Actuator Attacks. - Adil I. Erzin, Natalya Lagutkina:
FPTAS for barrier covering problem with equal circles in 2D. - Charlotte Pelletier, Geoffrey I. Webb, François Petitjean:
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series. - Jianyu Zhao, Zhuoran Ji:
LSICC: A Large Scale Informal Chinese Corpus. - Wenyuan Xu, Xiaopeng Li, Jing Tian, Yujun Xiao, Xianshan Qu, Song Wang, Xiaoyu Ji:
Which One to Go: Security and Usability Evaluation of Mid-Air Gestures. - Jie Li, Yahui Shan, Xiaorui Wang, Yan Li:
Improving Gated Recurrent Unit Based Acoustic Modeling with Batch Normalization and Enlarged Context. - Mohammad Raji:
Refactoring Software Packages via Community Detection from Stability Point of View. - Zongyi Xu, Qianni Zhang, Shiyang Cheng:
Multilevel active registration for kinect human body scans: from low quality to high quality. - Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai:
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera. - Liyuan Pan, Richard Hartley, Miaomiao Liu, Yuchao Dai:
Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring. - Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. - Alok Chauhan, V. Vijayakumar, Layth Sliman:
Ontology Matching Techniques: A Gold Standard Model. - Bold Naranchimeg, Chao Zhang, Takuya Akashi:
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data. - Girish Varma, Anbumani Subramanian, Anoop M. Namboodiri, Manmohan Chandraker, C. V. Jawahar:
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments. - An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-aware Neural Architecture Search. - Liuqing Li, Ziqian Song, Xuan Zhang, Edward A. Fox:
A Hybrid Model for Role-related User Classification on Twitter. - Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi:
3D-LaneNet: end-to-end 3D multiple lane detection. - Yong Niu, Liren Yu, Yong Li, Zhangdui Zhong, Bo Ai, Sheng Chen:
Device-to-Device Communications Enabled Multicast Scheduling with the Multi-Level Codebook in mmWave Small Cells. - Sudhir Yarram, Girish Varma, C. V. Jawahar:
City-Scale Road Audit System using Deep Learning. - Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Multi-task Learning over Graph Structures. - Yongli Zhu, Chengxi Liu, Kai Sun, Di Shi, Zhiwei Wang:
Optimization of Battery Energy Storage to Improve Power System Oscillation Damping. - Aniruddha V. Patil, Pankaj Rabha:
A Survey on Joint Object Detection and Pose Estimation using Monocular Vision. - Vladimir A. Mironov, Andrey Kudryavtsev, Yuri Alexeev, Alexander A. Moskovsky, Igor M. Kulikov, Igor G. Chernykh:
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. - Genggeng Liu, Zhen Zhuang, Wenzhong Guo, Naixue Xiong, Guolong Chen:
A novel particle swarm optimizer with multi-stage transformation and genetic operation for VLSI routing. - Itamar Ben-Ari, Ravid Shwartz-Ziv:
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos. - Tom Williams, Ravenna Thielstrom, Evan A. Krause, Bradley Oosterveld, Matthias Scheutz:
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory. - Aishwarya Chhabra, Pratik Saini, Amit Sangroya, C. Anantaram:
Learning Latent Beliefs and Performing Epistemic Reasoning for Efficient and Meaningful Dialog Management. - Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-inspired robust delineation operator. - Zengyi Qin, Jinglu Wang, Yan Lu:
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization. - Hitoshi Kiya:
Compressible and Learnable Encryption for Untrusted Cloud Environments. - Natasha Fernandes, Mark Dras, Annabelle McIver:
Generalised Differential Privacy for Text Document Processing. - Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh:
Region Based Extensive Response Index Pattern for Facial Expression Recognition. - Qihao Liu, Xiaofeng Liu, Guoping Cai:
Control with Distributed Deep Reinforcement Learning: Learn a Better Policy. - Fabio Ruetz, Emili Hernández, Mark Pfeiffer, Helen Oleynikova, Mark Cox, Thomas Lowe, Paulo V. K. Borges:
OVPC Mesh: 3D Free-space Representation for Local Ground Vehicle Navigation. - Eva Darulova, Anastasia Volkova:
Sound Approximation of Programs with Elementary Functions. - Joseph Sifakis:
Autonomous Systems - An Architectural Characterization. - Sina Ahmadi:
A Rule-based Kurdish Text Transliteration System. - Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. - Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl A. Gunter:
Distributed and Secure ML with Self-tallying Multi-party Aggregation. - Shuai Bai, Zhiqun He, Ting-Bing Xu, Zheng Zhu, Yuan Dong, Hongliang Bai:
Multi-hierarchical Independent Correlation Filters for Visual Tracking. - Hao Shen:
A Differential Topological View of Challenges in Learning with Feedforward Neural Networks. - Onel L. Alcaraz López, Hirley Alves, Richard Demo Souza, Samuel Montejo Sanchez:
Statistical Analysis of Multiple Antenna Strategies for Wireless Energy Transfer. - A. V. Reznichenko, I. S. Terekhov:
Investigation of Nonlinear Communication Channel with Small Dispersion via Stochastic Correlator Approach. - Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan:
Finding a Bounded-Degree Expander Inside a Dense One. - Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt:
On the cost of essentially fair clusterings. - Meng Sun, Wee Peng Tay:
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks. - Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar:
Universal Semi-Supervised Semantic Segmentation. - Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. - Tianwei Shen, Zixin Luo, Lei Zhou, Runze Zhang, Siyu Zhu, Tian Fang, Long Quan:
Matchable Image Retrieval by Learning from Surface Reconstruction. - Zhijie Wu, Chunjin Song, Yang Zhou, Minglun Gong, Hui Huang:
Pair-wise Exchangeable Feature Extraction for Arbitrary Style Transfer. - Antonis Matakos, Aristides Gionis:
Tell me something my friends do not know: Diversity maximization in social networks. - Benjamin Graham:
Unsupervised learning with sparse space-and-time autoencoders. - Yunyou Huang, Jianfeng Zhan, Nana Wang, Chunjie Luo, Lei Wang, Rui Ren:
Clustering Residential Electricity Load Curves via Community Detection in Network. - Robert Brijder:
Computing with Chemical Reaction Networks: A Tutorial. - Jöran Beel, Andrew Collins, Akiko Aizawa:
The Architecture of Mr. DLib's Scientific Recommender-System API. - Dominika Tkaczyk, Rohit Gupta, Riccardo Cinti, Jöran Beel:
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers. - Matija Piskorec, Tomislav Smuc, Mile Sikic:
Disentangling sources of influence in online social networks. - Macarena Díaz, Jorge Novo, Paula Cutrín, Francisco Gómez-Ulla, Manuel G. Penedo, Marcos Ortega:
Automatic segmentation of the Foveal Avascular Zone in ophthalmological OCT-A images. - Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao:
Robustness against the channel effect in pathological voice detection. - Arash Ardakani, Zhengyun Ji, Warren J. Gross:
Learning to Skip Ineffectual Recurrent Computations in LSTMs. - Kedar Potdar, Chinmay D. Pai, Sukrut Akolkar:
A Convolutional Neural Network based Live Object Recognition System as Blind Aid. - Eric Rothstein Morris, Jun Sun:
Quantifying Attacker Capability Via Model Checking Multiple Properties (Extended Version). - Tobias Kappé, Paul Brunet, Jurriaan Rot, Alexandra Silva, Jana Wagemaker, Fabio Zanasi:
Kleene Algebra with Observations. - Elvira Albert, Pablo Gordillo, Albert Rubio, Ilya Sergey:
GASTAP: A Gas Analyzer for Smart Contracts. - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. - Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman:
Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. - Slawomir Dadas:
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish. - Mina Rezaei, Haojin Yang, Christoph Meinel:
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. - Nikola Milosevic, Goran Nenadic:
Creating a contemporary corpus of similes in Serbian by using natural language processing. - Huseyin Coskun:
Dynamic Ecological System Measures. - Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks. - Buser Say, Scott Sanner:
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models. - Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti:
On Filter Size in Graph Convolutional Networks. - Jiang Zhang, Yuanqing Xia, Ganghui Shen:
A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers. - Thomas Lagkas, George Eleftherakis, Konstantinos Dimopoulos, Jie Zhang:
Signal Strength based Scheme for Following Mobile IoT Devices in Dynamic Environments. - Ehsan Edalat, Babak Sadeghiyan, Fatemeh Ghassemi:
ConsiDroid: A Concolic-based Tool for Detecting SQL Injection Vulnerability in Android Apps. - Hanh T. M. Tran, Tien Ho-Phuoc:
Deep Laplacian Pyramid Network for Text Images Super-Resolution. - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Context-Aware Crowd Counting. - Geoffroy Dubourg-Felonneau, Timothy I. Cannings, Fergal Cotter, Hannah Thompson, Nirmesh Patel, John W. Cassidy, Harry W. Clifford:
A Framework for Implementing Machine Learning on Omics Data. - Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. - Jinwei Zhao, Qizhou Wang, Yufei Wang, Xinhong Hei, Yu Liu, Zhenghao Shi:
How to improve the interpretability of kernel learning. - Hannu Reittu, Lasse Leskelä, Tomi Räty, Marco Fiorucci:
Analysis of large sparse graphs using regular decomposition of graph distance matrices. - Ryan Self, Michael Harlan, Rushikesh Kamalapurkar:
Online inverse reinforcement learning for nonlinear systems. - Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling:
Sentence Encoding with Tree-constrained Relation Networks. - Rafael M. O. Cruz, Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti:
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. - Balsam Dakhil, Abhishek K. Gupta:
Auctioning Electricity under Deep Renewable Integration using a Penalty for Shortfall. - Manijeh Bashar, Hien Quoc Ngo, Alister G. Burr, Dick Maryopi, Kanapathippillai Cumanan, Erik G. Larsson:
On the Performance of Backhaul Constrained Cell-Free Massive MIMO with Linear Receivers. - BingZhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz:
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. - Shuxuan Guo, José M. Álvarez, Mathieu Salzmann:
ExpandNets: Exploiting Linear Redundancy to Train Small Networks. - Vajira Thambawita, Roshan G. Ragel, Dhammika Elkaduwe:
An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching. - Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. - Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. - Virgile Robles, Nikolai Kosmatov, Virgile Prevosto, Louis Rilling, Pascale Le Gall:
MetAcsl: Specification and Verification of High-Level Properties. - Sudharsan Parthasarathy, Suman Kumar, Sheetal Kalyani:
EVM analysis of an Interference Limited SIMO-SC System With Independent and Correlated Channels. - Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. - Attila Szabó, Paolo Favaro:
Unsupervised 3D Shape Learning from Image Collections in the Wild. - Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope:
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. - Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan D. Jepson, Sven J. Dickinson, Kaleem Siddiqi:
Scene Categorization from Contours: Medial Axis Based Salience Measures. - Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt:
Higher-order Projected Power Iterations for Scalable Multi-Matching. - Sammy Khalife, Michalis Vazirgiannis:
Scalable graph-based individual named entity identification. - Adam J. Aviv, Markus Dürmuth:
A Survey of Collection Methods and Cross-Data Set Comparison of Android Unlock Patterns. - Claudia Schulz, Christian M. Meyer, Michael Sailer, Jan Kiesewetter, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. - Weijian Deng, Liang Zheng, Qixiang Ye, Yi Yang, Jianbin Jiao:
Similarity-preserving Image-image Domain Adaptation for Person Re-identification. - Alvaro Ulloa, Linyuan Jing, Christopher W. Good, David P. vanMaanen, Sushravya Raghunath, Jonathan D. Suever, Christopher D. Nevius, Gregory J. Wehner, Dustin N. Hartzel, Joseph B. Leader, Amro Alsaid, Aalpen A. Patel, H. Lester Kirchner, Christopher M. Haggerty, Brandon K. Fornwalt:
A deep neural network predicts survival after heart imaging better than cardiologists. - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. - Jérôme Abdelnour, Giampiero Salvi, Jean Rouat:
CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning. - Chenyu You, Linfeng Yang, Yi Zhang, Jan T. Liphardt, Ge Wang:
Low-Dose CT via Deep CNN with Skip Connection and Network in Network. - Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío:
Convolutional Neural Networks Deceived by Visual Illusions. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using stigmergy to incorporate the time into artificial neural networks. - Pallabi Ghosh, Yi Yao, Larry S. Davis, Ajay Divakaran:
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation. - Dhruv Khandelwal, Maarten Schoukens, Roland Tóth:
Grammar-based Representation and Identification of Dynamical Systems. - Kishori M. Konwar, Wyatt Lloyd, Haonan Lu, Nancy A. Lynch:
The SNOW Theorem Revisited. - Jannik Matuschke, Ulrike Schmidt-Kraepelin, José Verschae:
Maintaining Perfect Matchings at Low Cost. - Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
HOGWILD!-Gibbs can be PanAccurate. - Ning Xie, Farley Lai, Derek Doran, Asim Kadav:
Visual Entailment Task for Visually-Grounded Language Learning. - David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. - Paulo Sérgio Viegas Bernardino da Silva, Lucas Vinícius Araújo Caldas, Antônio Fernando Lavareda Jacob Jr., Fábio Manoel França Lobato:
GRSUS: Gerenciamento De Recursos De Saúde, Um Estudo Sob A Ótica Da Portaria GM/MS 1631/2015 No Estado do Pará. - A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. - Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie:
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. - Minghai Qin, Dejan Vucinic:
Noisy Computations during Inference: Harmful or Helpful? - Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. - Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. - Kyle Brown, Derek Doran, Ryan Kramer, Brad Reynolds:
HELOC Applicant Risk Performance Evaluation by Topological Hierarchical Decomposition. - Christopher D. Rosin:
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs. - Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation. - Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. - Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert:
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation. - Shari Trewin:
AI Fairness for People with Disabilities: Point of View. - Qin Ba, Jong-Shi Pang:
Exact Penalization of Generalized Nash Equilibrium Problems. - Hamed Omidvar, Massimo Franceschetti:
Improved Intolerance Intervals and Size Bounds for a Schelling-Type Spin System. - Navin Anwani, Bipin Rajendran:
Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation. - Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs). - Mengting Wan, Xin Chen:
Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses. - Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo:
Attentive Relational Networks for Mapping Images to Scene Graphs. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
LSTA: Long Short-Term Attention for Egocentric Action Recognition. - Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning. - Carenne Ludeña, Miguel Méndez, Nicolás Bolívar:
Modular decomposition of graphs and hierarchical modeling. - Marcel Lederle, Benjamin Wilhelm:
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging. - Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son:
Learning Robust Representations for Automatic Target Recognition. - Jianyu Wang:
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks. - Hiroharu Kato, Tatsuya Harada:
Learning View Priors for Single-view 3D Reconstruction. - Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
IGNOR: Image-guided Neural Object Rendering. - Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford:
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. - Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer Network. - Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura:
Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System. - Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup:
Environments for Lifelong Reinforcement Learning. - Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo:
DynamicGEM: A Library for Dynamic Graph Embedding Methods. - Loren Lugosch, Samuel Myer, Vikrant Singh Tomar:
DONUT: CTC-based Query-by-Example Keyword Spotting. - Ilker Nadi Bozkurt, Waqar Aqeel, Debopam Bhattacherjee, Balakrishnan Chandrasekaran, Philip Brighten Godfrey, Gregory Laughlin, Bruce M. Maggs, Ankit Singla:
Dissecting Latency in the Internet's Fiber Infrastructure. - Chunlei Sun, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, Michele Zorzi:
Eco-friendly Power Cost Minimization for Geo-distributed Data Centers Considering Workload Scheduling. - Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi:
Mixture of Regression Experts in fMRI Encoding. - Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. - Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher:
EnResNet: ResNet Ensemble via the Feynman-Kac Formalism. - Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar:
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. - Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover:
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication. - Dmitry Gavinsky, Troy Lee, Miklos Santha, Swagato Sanyal:
A composition theorem for randomized query complexity via max conflict complexity. - Weidong Sun, Gao Tang, Kris Hauser:
Fast UAV Trajectory Optimization using Bilevel Optimization with Analytical Gradients. - Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning with Stochastic Guidance for Navigation. - Wenceslao Shaw-Cortez, Denny Oetomo, Chris Manzie, Peter Choong:
Grasp Constraint Satisfaction for Object Manipulation using Robotic Hands. - Matías Pavez, Javier Ruiz-del-Solar, Victoria Amo, Felix Meyer zu Driehausen:
Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League. - (Withdrawn) Speaker Diarization With Lexical Information.
- Chengjiang Long, Arslan Basharat, Anthony Hoogs:
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Video Forgery. - Xiao Wang, Tao Sun, Rui Yang, Chenglong Li, Bin Luo, Jin Tang:
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning. - Jacques Kaiser, Hesham Mostafa, Emre Neftci:
Synaptic Plasticity Dynamics for Deep Continuous Local Learning. - Juan C. Martínez Mori, Samitha Samaranayake:
The Batched Set Cover Problem. - Wei Shen, Rujie Liu:
Generating Attention from Classifier Activations for Fine-grained Recognition. - T. Leroux, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns. - Katharina Kann, Alex Warstadt, Adina Williams, Samuel R. Bowman:
Verb Argument Structure Alternations in Word and Sentence Embeddings. - Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. - Wei Shen, Rujie Liu:
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance. - (Withdrawn) A True Random Number Generator Method Embedded in Wireless Communication Systems.
- Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft:
Adaptive Wavelet Clustering for Highly Noisy Data. - Yang Feng, Lin Ma, Wei Liu, Jiebo Luo:
Unsupervised Image Captioning. - Shirsendu Sukanta Halder, Sanchayan Santra, Bhabatosh Chanda:
Reconstruction Loss Minimized FCN for Single Image Dehazing. - Enya Shen, Zhidong Cao, Changqing Zou, Jianmin Wang:
Flexible Attributed Network Embedding. - W. Ronny Huang, Miguel A. Perez:
Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring. - Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat:
Stochastic Gradient Push for Distributed Deep Learning. - Yongyong Wei, Cristian Frincu, Rong Zheng:
Informative Path Planning for Location Fingerprint Collection. - Dimitris Berberidis, Georgios B. Giannakis:
Adaptive-similarity node embedding for scalable learning over graphs. - Yiwen Huang, Rihui Wu, Pinglai Ou:
A Fully Sequential Methodology for Convolutional Neural Networks. - Owen Lahav, Nicholas Mastronarde, Mihaela van der Schaar:
What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems. - David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf:
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. - Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy:
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization. - Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy:
Movie Recommendation System using Sentiment Analysis from Microblogging Data. - Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. - Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware multimodal activity recognition with Bayesian inference. - Suwon Shon, Tae-Hyun Oh, James R. Glass:
Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion. - Sylvain Dailler, Claude Marché, Yannick Moy:
Lightweight Interactive Proving inside an Automatic Program Verifier. 1-15 - Jan Bessai, Anna Vasileva:
User Support for the Combinator Logic Synthesizer Framework. 16-25 - Paolo Arcaini, Riccardo Melioli, Elvinia Riccobene:
AsmetaF: A Flattener for the ASMETA Framework. 26-36 - Rui Couto, José Creissac Campos, Nuno Macedo, Alcino Cunha:
Improving the Visualization of Alloy Instances. 37-52 - Alexander Knüppel, Thomas Thüm, Carsten Pardylla, Ina Schaefer:
Experience Report on Formally Verifying Parts of OpenJDK's API with KeY. 53-70 - Makarius Wenzel:
Isabelle/jEdit as IDE for Domain-specific Formal Languages and Informal Text Documents. 71-84 - Spencer Park, Emil Sekerinski:
A Notebook Format for the Holistic Design of Embedded Systems (Tool Paper). 85-94 - Nathaniel Watson, Steve Reeves, Paolo Masci:
Integrating User Design and Formal Models within PVSio-Web. 95-104 - Abhishek Thakur, Arnav Dhamija, Tejeshwar Reddy G:
VECTORS: Video communication through opportunistic relays and scalable video coding. - Dwaipayan Mukherjee, Shashi Ranjan Kumar:
Finite-time Heterogeneous Cyclic Pursuit with Application to Target Interception. - Jinghui Chen, Jinfeng Yi, Quanquan Gu:
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. - Semih Cayci, Atilla Eryilmaz:
Optimal Learning for Dynamic Coding in Deadline-Constrained Multi-Channel Networks. - Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. - Swagata Duari, Vasudha Bhatnagar:
sCAKE: Semantic Connectivity Aware Keyword Extraction. - Aaron Schild:
A Schur Complement Cheeger Inequality. - Chen Yang, Zhihui Du, Xiaofeng Meng, Yongjie Du, Zhiqiang Duan:
A Frequency Scaling based Performance Indicator Framework for Big Data Systems. - Qichuan Geng, Feixiang Lu, Xinyu Huang, Sen Wang, Xinjing Cheng, Zhong Zhou, Ruigang Yang:
Part-level Car Parsing and Reconstruction from Single Street View. - Kyle Reing, Greg Ver Steeg, Aram Galstyan:
Maximizing Multivariate Information with Error-Correcting Codes. - Thomas G. Dietterich:
Robust Artificial Intelligence and Robust Human Organizations. - Junsong Fan, Zhaoxiang Zhang, Tieniu Tan:
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. - Arabinda Samantaray, Baijian Yang, J. Eric Dietz, Byung-Cheol Min:
Algae Detection Using Computer Vision and Deep Learning. - Baptiste David:
How a simple bug in ML compiler could be exploited for backdoors? - Chen Yang, Xiaofeng Meng, Zhihui Du, Zhiqiang Duan, Yongjie Du:
Data Management in Time-Domain Astronomy: Requirements and Challenges. - Leon Andretti Abdillah, Arif Ainur Rofiq, Dian Eka Indriani:
Information Technology Utilization in Environmentally Friendly Higher Education. - Jinyu Shi, Zhongru Wang, Qiang Ruan, Yue Wu, Binxing Fang:
Research on CRO's Dilemma In Sapiens Chain: A Game Theory Method. - Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi:
Fair Division with a Secretive Agent. - Chen Yang, Xiaofeng Meng, Zhihui Du, Jiaming Qiu, Kenan Liang, Yongjie Du, Zhiqiang Duan, Xiaobin Ma, Zhijian Fang:
AstroServ: Distributed Database for Serving Large-Scale Full Life-Cycle Astronomical Data. - Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects. - Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas:
Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters. - Chen Yang, Xiaofeng Meng, Zhihui Du:
Cloud based Real-Time and Low Latency Scientific Event Analysis. - Neha Gupta, Aaron Sidford:
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression. - Yu Han, Zhongru Wang, Qiang Ruan, Binxing Fang:
Sapiens Chain: A Blockchain-based Cybersecurity Framework. - Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes:
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. - Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu:
Affinity Derivation and Graph Merge for Instance Segmentation. - Feida Zhu, Yizhou Yu:
Automatic Image Stylization Using Deep Fully Convolutional Networks. - Michael Kapralov, Dmitry Krachun:
An Optimal Space Lower Bound for Approximating MAX-CUT. - V. Madhu Babu, Swagat Kumar, Anima Majumder, Kaushik Das:
UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling. - Claudio Gallicchio:
Chasing the Echo State Property. - Renqiang Li, Hong Liu, Xiangdong Wang, Yueliang Qian:
DSBI: Double-Sided Braille Image Dataset and Algorithm Evaluation for Braille Dots Detection. - Bastien Moysset, Ronaldo O. Messina:
Are 2D-LSTM really dead for offline text recognition? - Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz:
Beta Distribution Drift Detection for Adaptive Classifiers. - Yedi Zhang, Fu Song, Taolue Chen:
Making Agents' Abilities Explicit. - Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu:
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. - Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh:
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing. - Huan Li, He Sun, Luca Zanetti:
Hermitian Laplacians and a Cheeger inequality for the Max-2-Lin problem. - Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. - Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua:
Robust active attacks on social graphs. - Onsa Lazzez, Wael Ouarda, Adel M. Alimi:
DeepVisInterests: CNN-Ontology Prediction of Users Interests from Social Images. - Aritz Arrate Galán, José González Cabañas, Ángel Cuevas, María Calderón, Rubén Cuevas:
Large-scale analysis of user exposure to online advertising in Facebook. - Laurent Orseau, Levi H. S. Lelis, Tor Lattimore, Théophane Weber:
Single-Agent Policy Tree Search With Guarantees. - Xiaojie Wang, Sebastian Cammerer, Stephan ten Brink:
Near Gaussian Multiple Access Channel Capacity Detection and Decoding. - Chii Chang, Amnir Hadachi, Satish Narayana Srirama:
Adaptive Edge Process Migration for IoT in Heterogeneous Cloud-Fog-Edge Computing Environment. - Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. - Valentin Zieglmeier, Severin Kacianka, Thomas Hutzelmann, Alexander Pretschner:
A Real-Time Remote IDS Testbed for Connected Vehicles. - Wei Wang, Shiyue He, Liang Sun, Tao Jiang, Qian Zhang:
Cross-Technology Communications for Heterogeneous IoT Devices Through Artificial Doppler Shifts. - Oguzhan Gencoglu, Miikka Ermes:
Predicting the Flu from Instagram. - Oren Kalinsky, Oren Mishali, Aidan Hogan, Yoav Etsion, Benny Kimelfeld:
Efficiently Charting RDF. - Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros:
Dataset Distillation. - Jian Jiao, Jichao Jiao, Yaokai Mo, Weilun Liu, Zhongliang Deng:
MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network. - Jonghwa Yim, Junghun James Kim, Daekyu Shin:
One-Shot Item Search with Multimodal Data. - James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. - Sami Remes, Markus Heinonen, Samuel Kaski:
Neural Non-Stationary Spectral Kernel. - Alexander Krull, Tim-Oliver Buchholz, Florian Jug:
Noise2Void - Learning Denoising from Single Noisy Images. - Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker:
Modelling Agents Endowed with Social Practices: Static Aspects. - Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping. - Andrii Maksai, Pascal Fua:
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking. - Somayeh Asadifar, Mohsen Kahani, Saeedeh Shekarpour:
HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph. - Xavier Favory, Eduardo Fonseca, Frederic Font, Xavier Serra:
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. - Chenyang Huang, Osmar R. Zaïane:
Generating Responses Expressing Emotion in an Open-domain Dialogue System. - Yonglin Cao, Yuan Cao, Rama Krishna Bandi, Fang-Wei Fu:
An explicit representation and enumeration for negacyclic codes of length 2kn over Z4+uZ4. - Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. - Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang:
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. - Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-processing of Word Vectors via Conceptor Negation. - Tianlin Liu, João Sedoc, Lyle H. Ungar:
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. - Sidharth Rajaram, J. Kenneth Salisbury:
Scene Recognition Through Visual and Acoustic Cues Using K-Means. - Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway:
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. - Srikumar Krishnamoorthy:
Sentiment Analysis of Financial News Articles using Performance Indicators. - Noah Carter, Md. Salman Ahmed, Jacob Hoyos, Matthew Dale, J. T. Blevins, Nick Hodge, Nusrat Chowdhury, Mohammad Asadul Hoque:
Developing Mobility and Traffic Visualization Applications for Connected Vehicles. - Mohan Zhang, Zhichao Luo, Hai Lu:
Latent Dirichlet Allocation with Residual Convolutional Neural Network Applied in Evaluating Credibility of Chinese Listed Companies. - Yuan Cao, Yonglin Cao, Hai Q. Dinh, Somphong Jitman:
An explicit representation and enumeration for self-dual cyclic codes over F2m+uF2m of length 2s. - Chenhe Zhang, Peiyuan Sun:
Arena Model: Inference About Competitions. - Chenqi Mou, Yang Bai, Jiahua Lai:
Chordal Graphs in Triangular Decomposition in Top-Down Style. - Lovro Subelj, Dalibor Fiala, Tadej Ciglaric, Luka Kronegger:
Convexity in scientific collaboration networks. - Pol Mac Aonghusa, Douglas J. Leith:
3PS - Online Privacy through Group Identities. - Tai-Danae Bradley, Martha Lewis, Jade Master, Brad Theilman:
Translating and Evolving: Towards a Model of Language Change in DisCoCat. 50-61 - Peng Wei, Lilin Dan, Yue Xiao:
Performance Analysis of a Low-Interference N-Continuous OFDM Scheme. - Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware Manipulability Transfer. - Idan Kligvasser, Tomer Michaeli:
Dense xUnit Networks. - Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li:
Understanding the Importance of Single Directions via Representative Substitution. - Shiyao Wang, Hongchao Lu, Pavel A. Dmitriev, Zhidong Deng:
Fast Object Detection in Compressed Video. - Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. - Pavel Solovev, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin, Elizaveta Logacheva, Stepan Troeshestov, Roman Suvorov, Anton Mashikhin, Oleg Khomenko, Sergey I. Nikolenko:
Learning State Representations in Complex Systems with Multimodal Data. - Jörg P. Bachmann, Johann-Christoph Freytag:
An Analytical Approach to Improving Time Warping on Multidimensional Time Series. - Chi Nhan Duong, Kha Gia Quach, Ngan Le, Nghia Nguyen, Khoa Luu:
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices. - Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le:
Automatic Face Aging in Videos via Deep Reinforcement Learning. - Hayoung Choi, Jinglian He, Hang Hu, Yuanming Shi:
Fast Computing von Neumann Entropy for Large-scale Graphs via Quadratic Approximations. - Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden:
Bilinear Parameterization For Differentiable Rank-Regularization. - Wenda Li, Lawrence C. Paulson:
Counting Polynomial Roots in Isabelle/HOL: A Formal Proof of the Budan-Fourier Theorem. - Juliette Millet, Neil Zeghidour:
Learning to detect dysarthria from raw speech. - Omer Nguena Timo, Dimitri Prestat, Florent Avellaneda:
Fault Detection for Timed FSM with Timeouts by Constraint Solving. - Marcelo Augusto Muniz Teixeira, Fábio Manoel França Lobato, Beatriz Nery Rodrigues Chagas, Antônio Fernando Lavareda Jacob Jr.:
Um Sistema de Aquisição e Análise de Dados para Extração de Conhecimento da Plataforma Ebit. - Claudio Menghi, Alessandro Maria Rizzi, Anna Bernasconi:
Integrating Topological Proofs with Model Checking to Instrument Iterative Design. - Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen:
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. - Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. - Tauseef Jamal, Muhammad Mussadiq Umair, M. Alam, Zeeshan Haider:
Detection and Prevention Against RTS Attacks in Wireless LAN. - Muhammad Zubair Ahmad, James F. Peters:
Descriptive Unions. A Fibre Bundle Characterization of the Union of Descriptively Near Sets. - Stefano Marchesin:
A Concept-Centered Hypertext Approach to Case-Based Retrieval. - Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman:
See before you see: Real-time high speed motion prediction using fast aperture-robust event-driven visual flow. - TonTon Hsien-De Huang, Po-Wei Hong, Ying-Tse Lee, Yi-Lun Wang, Chi-Leong Lok, Hung-Yu Kao:
SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment. - Shaohuai Shi, Xiaowen Chu:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. - Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum:
Understanding and Improving Kernel Local Descriptors. - Clément L. Canonne, Gautam Kamath, Audra McMillan, Adam D. Smith, Jonathan R. Ullman:
The Structure of Optimal Private Tests for Simple Hypotheses. - Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. - Yi-Peng Wei, Batuhan Arasli, Karim A. Banawan, Sennur Ulukus:
The Capacity of Private Information Retrieval from Decentralized Uncoded Caching Databases. - Amr Sharaf, Arpit Gupta, Hancheng Ge, Chetan Naik, Lambert Mathias:
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems. - Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada:
Class-Distinct and Class-Mutual Image Generation with GANs. - Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada:
Label-Noise Robust Generative Adversarial Networks. - Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. - Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai:
Deformable ConvNets v2: More Deformable, Better Results. - Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. - Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Semantically-aware population health risk analyses. - Richard Garcia-Lebron, David J. Myers, Shouhuai Xu, Jie Sun:
Node Diversification in Complex Networks by Decentralized Coloring. - Zhourong Chen, Yang Li, Samy Bengio, Si Si:
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. - Wentao Yuan, David Held, Christoph Mertz, Martial Hebert:
Iterative Transformer Network for 3D Point Cloud. - Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar:
Calibrating Uncertainties in Object Localization Task. - Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby:
Self-Supervised Generative Adversarial Networks. - Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. - Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans:
Understanding the impact of entropy on policy optimization. - Berk Gülmezoglu, Andreas Zankl, Caner Tol, Saad Islam, Thomas Eisenbarth, Berk Sunar:
Undermining User Privacy on Mobile Devices Using AI. - Egor Kraev:
Grammars and reinforcement learning for molecule optimization. - Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin:
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. - Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl:
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. - Wei Tang, John Corring, Ying Wu, Gang Hua:
A Compositional Textual Model for Recognition of Imperfect Word Images. - Gerrit J. J. van den Burg, Alfredo Nazábal, Charles Sutton:
Wrangling Messy CSV Files by Detecting Row and Type Patterns. - Chao-Hui Huang, Daniel Racoceanu:
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images. - Sumit Maheshwari, Dipankar Raychaudhuri:
Edge Cloud System Evaluation. - Samir Hodzic, Enes Pasalic, Wei-Guo Zhang:
Generic constructions of 5-valued spectra Boolean functions. - Nasir Saeed, Abdulkadir Celik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Performance Analysis of Connectivity and Localization in Multi-Hop Underwater Optical Wireless Sensor Networks. - Gaetano Manzo, Juan Sebastian Otálora, Marco Ajmone Marsan, Gianluca Rizzo:
A Deep Learning Strategy for Vehicular Floating Content Management. - Odongo Steven Eyobu, Jhihoon Joo, Dong Seog Han:
CMD: A Multi-Channel Coordination Scheme for Emergency Message Dissemination in IEEE 1609.4. - Yilun Zhang, Hyun Soo Park:
Multiview Supervision By Registration. - (Withdrawn) ShelfNet for Real-time Semantic Segmentation.
- Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta:
Scaling Configuration of Energy Harvesting Sensors with Reinforcement Learning. - Pieter Stroobant, Sergi Abadal, Wouter Tavernier, Eduard Alarcón, Didier Colle, Mario Pickavet:
A General, Fault tolerant, Adaptive, Deadlock-free Routing Protocol for Network-on-chip. - Lei Xu, Kalyan Veeramachaneni:
Synthesizing Tabular Data using Generative Adversarial Networks. - Ali A. Alnoman, Shree Krishna Sharma, Waleed Ejaz, Alagan Anpalagan:
Emerging Edge Computing Technologies for Distributed Internet of Things (IoT) Systems. - Greg Olmschenk, Zhigang Zhu, Hao Tang:
Generalizing semi-supervised generative adversarial networks to regression. - Kai Li, Pei-Ying Chen, Erjia Yan:
Challenges of measuring the impact of software: an examination of the lme4 R package. - Osama Alsaryrah, Ibrahim Mashal, Tein-Yaw Chung:
Bi-Objective Optimization for Energy Aware Internet of Things Service Composition. - Henry Bendekgey:
Clustering Player Strategies from Variable-Length Game Logs in Dominion. - Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu:
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures. - Junyao Guo, Unmesh Kurup, Mohak Shah:
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving. - Sihem Mesnager, Kwang Ho Kim, Myong Song Jo:
Improved upper bound on root number of linearized polynomials and its application to nonlinearity estimation of Boolean functions. - Raviteja Vemulapalli, Aseem Agarwala:
A Compact Embedding for Facial Expression Similarity. - Yifan Wang, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung:
Patch-based Progressive 3D Point Set Upsampling. - Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, Seda F. Gürses:
Questioning the assumptions behind fairness solutions. - Richard T. Marriott, Sami Romdhani, Liming Chen:
Intra-class Variation Isolation in Conditional GANs. - Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev:
Prioritizing Starting States for Reinforcement Learning. - Jingbo Liu, Ayfer Özgür:
Capacity Upper Bounds for the Relay Channel via Reverse Hypercontractivity. - Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. - Craig Macartney, Tillman Weyde:
Improved Speech Enhancement with the Wave-U-Net. - Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell:
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. - Shamane Siriwardhana, Rivindu Weerasekera, Suranga Nanayakkara:
Target Driven Visual Navigation with Hybrid Asynchronous Universal Successor Representations. - Fred Guth, Teófilo E. de Campos:
Skin lesion segmentation using U-Net and good training strategies. - Sérgio Rebelo, Pedro Martins, João Bicker, Penousal Machado:
Using Computer Vision Techniques for Moving Poster Design. - Danil Annenkov:
Adventures in Formalisation: Financial Contracts, Modules, and Two-Level Type Theory. - Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Rama Chellappa:
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection. - Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
Higher-Order Clustering in Heterogeneous Information Networks. - Shangxuan Wu, Xinshuo Weng:
Image Labeling with Markov Random Fields and Conditional Random Fields. - Xinshuo Weng, Wentao Han:
CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking. - (Withdrawn) Deep Reinforcement Learning for Autonomous Driving.
- Erdem Koyuncu, Hamid Jafarkhani:
Asynchronous Local Construction of Bounded-Degree Network Topologies Using Only Neighborhood Information. - Vishnu Vardhan Chetlur Ravi, Harpreet S. Dhillon, Carl P. Dettmann:
Characterizing Shortest Paths in Road Systems Modeled as Manhattan Poisson Line Processes. - Brittany Terese Fasy, Samuel Micka, David L. Millman, Anna Schenfisch, Lucia Williams:
Challenges in Reconstructing Shapes from Euler Characteristic Curves. - Dabin Zheng, Mu Yuan, Nian Li, Lei Hu, Xiangyong Zeng:
Constructions of involutions over finite fields. - Faizal M. F. Hafiz, Akshya Swain, Eduardo M. A. M. Mendes:
Two-Dimensional (2D) Particle Swarms for Structure Selection of Nonlinear Systems. - Humza Haider, Bret Hoehn, Sarah Davis, Russell Greiner:
Effective Ways to Build and Evaluate Individual Survival Distributions. - Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Multi-label classification search space in the MEKA software. - Drew Linsley, Junkyung Kim, David Berson, Thomas Serre:
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. - Suhani Vora, Reza Mahjourian, Sören Pirk, Anelia Angelova:
Future Segmentation Using 3D Structure. - David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih:
Unsupervised Control Through Non-Parametric Discriminative Rewards. - Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang:
Unsupervised Multi-modal Neural Machine Translation. - Kasturi Vasudevan, K. Madhu, Shivani Singh:
Data Detection in Single User Massive MIMO Using Re-Transmissions. - Panagiotis Kouvaros, Alessio Lomuscio:
Formal Verification of CNN-based Perception Systems. - Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. - (Withdrawn) Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network.
- Ian Miller, Jon Wallace:
Self Contained Relative Localization with a Low-Cost Multi-Robot System. - Longlong Jing, Yingli Tian:
Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations. - Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal:
Image Generation from Layout. - Ramtin Zand, Kerem Yunus Çamsari, Supriyo Datta, Ronald F. DeMara:
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. - Ziran Zhang, Zixuan Yao, Qinbo Sun, Huihuan Qian:
Energy Optimization of Automatic Hybrid Sailboat. - Li Ding, Chen Feng:
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds. - Dianbo Liu, Timothy Miller, Raheel Sayeed, Kenneth D. Mandl:
FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record. - Siddique Latif, Rajib Rana, Junaid Qadir:
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness. - Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Spectral Feature Transformation for Person Re-identification. - Shaddin Dughmi, David Kempe, Ruixin Qiang:
Alea Iacta Est: Auctions, Persuasion, Interim Rules, and Dice. - Dimitris Gkoumas, Dawei Song:
Exploiting "Quantum-like Interference" in Decision Fusion for Ranking Multimodal Documents. - Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao:
MeshNet: Mesh Neural Network for 3D Shape Representation. - Leon Andretti Abdillah:
Green Computer Science Millennial Students Examination. - Maciej Zamorski, Maciej Zieba:
Semi-supervised learning with Bidirectional GANs. - Ragunathan Mariappan, Vaibhav Rajan:
Deep Collective Matrix Factorization for Augmented Multi-View Learning. - Junki Ohmura, Maxine Eskénazi:
Context-Aware Dialog Re-Ranking for Task-Oriented Dialog Systems. - Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. - Chiaki Sakama, Hien D. Nguyen, Taisuke Sato, Katsumi Inoue:
Partial Evaluation of Logic Programs in Vector Spaces. - Sang-Ki Ko, Changjo Kim, Hyedong Jung, Choong Sang Cho:
Neural Sign Language Translation based on Human Keypoint Estimation. - Sujoy Paul, Jeroen van Baar:
Trajectory-based Learning for Ball-in-Maze Games. - Sofie Haesaert, Sadegh Soudjani:
Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems. - Bai Xue, Naijun Zhan:
Robust Invariant Sets Computation for Switched Discrete-Time Polynomial Systems. - Nir Zarrabi, Shai Avidan, Yael Moses:
CrowdCam: Dynamic Region Segmentation. - Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti:
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. - Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky:
Coordinate-based Texture Inpainting for Pose-Guided Image Generation. - Prabal Banerjee, Sushmita Ruj:
Blockchain Enabled Data Marketplace - Design and Challenges. - Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or how to hear shape, style, and correspondence. - Amina Fellan, Christian Schellenberger, Marc Zimmermann, Hans D. Schotten:
Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0. - J. D. Hackman:
Potential applications of Distributed Ledger Technology to the Defence Support Network. - David Rohr, Gvozden Neskovic, Volker Lindenstruth:
The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014. - Eunjeong Jeong, Seungeun Oh, Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim:
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data. - Jun Beom Kho, Andrew Beng Jin Teoh, Wonjune Lee, Jaihie Kim:
Fixed-length Bit-string Representation of Fingerprint by Normalized Local Structures. - Francesco Croce, Matthias Hein:
A randomized gradient-free attack on ReLU networks. - Johannes Klaus Fichte, Markus Hecher, Arne Meier:
Counting Complexity for Reasoning in Abstract Argumentation. - Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker:
One-Shot Instance Segmentation. - Jialun Liu:
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification. - Janusz Dybizbanski, Andrzej Szepietowski:
Hamiltonian cycles and paths in hypercubes with disjoint faulty edges. - Sarang Mahajan, Amey Kasar:
Towards Decentralization of Social Media. - Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. - Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang:
Multi-granularity Generator for Temporal Action Proposal. - (Withdrawn) Linear and Nonlinear Identification of Dryer System Using Artificial Intelligence and Neural Networks.
- Fred W. Glover, Gary A. Kochenberger:
A Tutorial on Formulating QUBO Models. - Anna May, Johannes Wachs, Aniko Hannak:
Gender Differences in Participation and Reward on Stack Overflow. - Austin R. Benson, Jon M. Kleinberg:
Core-fringe link prediction. - I (Eli) Chien, Huozhi Zhou, Pan Li:
HS2: Active Learning over Hypergraphs. - Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-Shinn Ku, Anh Nguyen:
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. - Stefania Dumbrava, Angela Bonifati, Amaia Nazabal Ruiz Diaz, Romain Vuillemot:
Approximate Evaluation of Label-Constrained Reachability Queries. - Bora Baydar, Savas Özkan, Gozde Bozdagi Akar:
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network. - Fabricio Ataides Braz, Nilton Correia da Silva, Teófilo Emídio de Campos, Felipe Borges S. Chaves, Marcelo H. S. Ferreira, Pedro Henrique Inazawa, Victor H. D. Coelho, Bernardo Pablo Sukiennik, Ana Paula Goncalves Soares de Almeida, Flavio de Barros Vidal, Davi Alves Bezerra, Davi B. Gusmão, Gabriel G. Ziegler, Ricardo V. C. Fernandes, Roberta Zumblick, Fabiano Hartmann Peixoto:
Document classification using a Bi-LSTM to unclog Brazil's supreme court. - Ye Zhao, Luis Sentis:
Distributed Impedance Control of Latency-Prone Robotic Systems with Series Elastic Actuation. - Indu Yadav, Prasanna Chaporkar, Abhay Karandikar:
GOSPAL: An Efficient Strategy-Proof mechanism for Constrained Resource Allocation. - Petru Soviany, Radu Tudor Ionescu:
Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors. - Nikos Bikakis, Vana Kalogeraki, Dimitrios Gunopulos:
Attendance Maximization for Successful Social Event Planning. - Wei Hu, Gusi Te, Ju He, Dong Chen, Zongming Guo:
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks. - Alexander V. Kononov, Yulia V. Kovalenko:
Approximate Schedules for Non-Migratory Parallel Jobs in Speed-Scaled Multiprocessor Systems. - Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. - Philipp Henzler, Niloy J. Mitra, Tobias Ritschel:
Escaping Plato's Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections. - Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. - Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. - Waddah Waheeb, Rozaida Ghazali:
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks. - Alexander Schindler, Martin Boyer, Andrew Lindley, David Schreiber, Thomas Philipp:
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks. - Paul D. Beale, Jetanat Datephanyawat:
Class of scalable parallel and vectorizable pseudorandom number generators based on non-cryptographic RSA exponentiation ciphers. - D. Ellis Hershkowitz, R. Ravi, Sahil Singla:
Prepare for the Expected Worst: Algorithms for Reconfigurable Resources Under Uncertainty. - Christian Wülker, Gregory S. Chirikjian:
Quantizing Euclidean motions via double-coset decomposition. - Li Jing, Rumen Dangovski, Marin Soljacic:
WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. - Michael Fröwis, Andreas Fuchs, Rainer Böhme:
Detecting Token Systems on Ethereum. - Arghyadip Roy, Vivek S. Borkar, Abhay Karandikar, Prasanna Chaporkar:
A Structure-aware Online Learning Algorithm for Markov Decision Processes. - Noha M. Helal, Matthieu R. Bloch, Aria Nosratinia:
Cooperative Resolvability and Secrecy in the Cribbing Multiple-Access Channel. - Willian de Oliveira Barreiros Junior, George Teodoro:
Accelerating Sensitivity Analysis in Microscopy Image Segmentation Workflows. - Michiel de Bondt:
A short proof of a theorem of J.-E. Pin. - Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille:
Robust Face Detection via Learning Small Faces on Hard Images. - Alastair H. Moore:
Multiple source direction of arrival estimation using subspace pseudointensity vectors. - Joseph M. Landsberg:
The complexity of matrix multiplication: developments since 2014. Extended abstract of 2018 Oberwolfach Complexity meeting plenary lecture. - Sebastian Benthall, Bruce D. Haynes:
Racial categories in machine learning. - Michael Kläs:
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview. - Nir Halman, Giacomo Nannicini:
Toward breaking the curse of dimensionality: an FPTAS for stochastic dynamic programs with multidimensional actions and scalar states. - David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Greg Wayne:
Experience Replay for Continual Learning. - Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang:
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding. - Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson:
Shared Representational Geometry Across Neural Networks. - Prabhat Kumar, Paola Fanzio, Luigi Sasso, Matthijs Langelaar:
Compliant Fluidic Control Structures: Concept and Synthesis Approach. - Luca Sanguinetti, Abla Kammoun, Mérouane Debbah:
Theoretical Performance Limits of Massive MIMO with Uncorrelated Rician Fading Channels. - Faryad Darabi Sahneh, Alon Efrat, Stephen G. Kobourov, Richard Spence:
Computing Vertex-Weighted Multi-Level Steiner Trees. - Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic:
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. - Vladimir Vlasov, Akela Drissner-Schmid, Alan Nichol:
Few-Shot Generalization Across Dialogue Tasks. - Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess:
Neural probabilistic motor primitives for humanoid control. - Abdulkadir Celik, Basem Shihada, Mohamed-Slim Alouini:
Wireless Data Center Networks: Advances, Challenges, and Opportunities. - Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro:
Partial Convolution based Padding. - Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. - Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Future-State Predicting LSTM for Early Surgery Type Recognition. - Chengbin Hou, Shan He, Ke Tang:
Attributed Network Embedding for Incomplete Structure Information. - Enze Zhang, Fa Zhang, Zhiyong Liu, Xiaohua Wan, Lifa Zhu:
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image. - Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. - Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D human pose estimation in video with temporal convolutions and semi-supervised training. - Tim Brooks, Jonathan T. Barron:
Learning to Synthesize Motion Blur. - Rui Portocarrero Sarmento, Pavel Brazdil:
Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs. - Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh:
Meta-Learning for Few-shot Camera-Adaptive Color Constancy. - Sebastian A. Nugroho, Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Ram Krishnan:
Algorithms for Joint Sensor and Control Nodes Selection in Dynamic Networks. - (Withdrawn) Cartoon-to-real: An Approach to Translate Cartoon to Realistic Images using GAN.
- Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover:
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. - Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yanfeng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille:
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. - Georgios Mastorakis:
Unrepresentative video data: A review and evaluation. - Hector N. B. Pinheiro, Tsang Ing Ren, Stefan Scheib, Armel Rosselet, Stefan Thieme-Marti:
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks. - Sina Rashidian, Janos G. Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi R. Gupta, Mathew Tharakan, Veena Lingam, Joel H. Saltz, Mary M. Saltz:
Disease phenotyping using deep learning: A diabetes case study. - Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah:
Unsupervised Meta-Learning For Few-Shot Image and Video Classification. - Gustavo Nogueira de Sousa, Luan Vinícius Huppes, Antônio Fernando Lavareda Jacob Jr., Fábio Manoel França Lobato:
Adoção de Social CRM em Micro e Pequenas Empresas: Uma Análise do Mercado Santareno. - Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille:
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data. - Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. - Sina Mohseni, Niloofar Zarei, Eric D. Ragan:
A Survey of Evaluation Methods and Measures for Interpretable Machine Learning. - Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He:
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. - Kha Gia Quach, Ngan Le, Khoa Luu, Chi Nhan Duong, Ibsa Jalata, Karl Ricanek:
Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos. - Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo:
Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET. - Ismail Kuru, Colin S. Gordon:
Safe Deferred Memory Reclamation with Types. - Jörg P. Bachmann, Johann-Christoph Freytag:
Efficient Measuring of Congruence on High Dimensional Time Series. - S. M. Mahdi Seyednezhad, Kailey Nobuko Cozart, John Anthony Bowllan, Anthony O. Smith:
A Review on Recommendation Systems: Context-aware to Social-based. - Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided patch-wise nonlocal SAR despeckling. - Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li:
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers. - Rajesh P. N. Rao:
Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces. - Bo Liu, Normand Paquin:
Viconmavlink: A software tool for indoor positioning using a motion capture system. - Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough:
Predicting the Computational Cost of Deep Learning Models. - Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins:
Adversarial Bandits with Knapsacks. - Huseyin Coskun:
Nonlinear Decomposition Principle and Fundamental Matrix Solutions for Dynamic Compartmental Systems. - Ziran Zhang, Yiwei Lyu, Fahad Raza, Huihuan Qian:
Design and Control of A Hybrid Sailboat for Enhanced Tacking Maneuver. - Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. - Nicolas Koh, Yao Li, Yishuai Li, Li-yao Xia, Lennart Beringer, Wolf Honoré, William Mansky, Benjamin C. Pierce, Steve Zdancewic:
From C to Interaction Trees: Specifying, Verifying, and Testing a Networked Server. - Kejie Li, Ravi Garg, Ming Cai, Ian D. Reid:
Optimizable Object Reconstruction from a Single View. - Yo-Seb Jeon, Heedong Do, Song-Nam Hong, Namyoon Lee:
Soft-Output Detection Methods for Sparse Millimeter Wave MIMO Systems with Low-Precision ADCs. - Mridul Agarwal, Vaneet Aggarwal:
Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. - Matthew D. Hoffman, Matthew J. Johnson, Dustin Tran:
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language. - Hengjie Yang, Ethan Liang, Richard D. Wesel:
Joint Design of Convolutional Code and CRC under Serial List Viterbi Decoding. - Jin Dong, P. Teja Kuruganti, Seddik M. Djouadi, Mohammed M. Olama, Yaosuo Xue:
Privacy-Preserving Aggregation of Controllable Loads to Compensate Fluctuations in Solar Power. - Wei Wang, Ming Yan, Chen Wu:
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering. - Mahak Jain, Anurag Sanyal, Shreya Goyal, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English. - Sabah Al-Fedaghi, Yousef Atiyah:
Tracking Systems as Thinging Machine: A Case Study of a Service Company. - Felix G. Hamza-Lup, Shane Farrar, Erik Leon:
Interactive X-ray and proton therapy training and simulation. - Felix G. Hamza-Lup, Ioana A. Stanescu:
The haptic paradigm in education: Challenges and case studies. - Yonghao Jin, Fei Li, Hong Yu:
HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes. - Pranav Ganti, Steven L. Waslander:
Visual SLAM with Network Uncertainty Informed Feature Selection. - Felix G. Hamza-Lup, Ivan Sopin, Omar A. Zeidan:
Online External Beam Radiation Treatment Simulator. - Yavuz Yapici, Ismail Güvenç:
Low-Complexity Adaptive Beam and Channel Tracking for Mobile mmWave Communications. - Felix G. Hamza-Lup, Anand P. Santhanam, Celina Imielinska, Sanford L. Meeks, Jannick P. Rolland:
Distributed Augmented Reality with 3D Lung Dynamics - A Planning Tool Concept. - Felix G. Hamza-Lup, Charles E. Hughes, Jannick P. Rolland:
Sensors in Distributed Mixed Reality Environments. - Yuhui Zhang, Allen Nie, James Zou:
Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding. - Gaurav Sheni, Benjamin Schreck, Roy Wedge, James Max Kanter, Kalyan Veeramachaneni:
Prediction Factory: automated development and collaborative evaluation of predictive models. - Denis Firsov, Larry Diehl, Christopher Jenkins, Aaron Stump:
Course-of-Value Induction in Cedille. - Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu:
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding. - Lijun Yu, Dawei Zhang, Xiangqun Chen, Alexander G. Hauptmann:
Traffic Danger Recognition With Surveillance Cameras Without Training Data. - Shujian Yu, José C. Príncipe:
Simple stopping criteria for information theoretic feature selection. - Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh:
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields. - Shang-Ta Yang, Fu-En Wang, Chi-Han Peng, Peter Wonka, Min Sun, Hung-Kuo Chu:
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama. - Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya:
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing. - Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound. - Anas Bilal, Aimal Rextin, Ahmad Kakakhail, Mehwish Nasim:
Analysing Emergent Users' Text Messages Data and Exploring its Benefits. - Ken Sakurada:
Weakly Supervised Silhouette-based Semantic Change Detection. - Manik Singhal, Tolunay Seyfi, Aly El Gamal:
Joint Uplink-Downlink Cooperative Interference Management with Flexible Cell Associations. - Laurent Boué:
Deep learning for pedestrians: backpropagation in CNNs. - Yutaro Miyauchi, Yusuke Sugano, Yasuyuki Matsushita:
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data. - Ruijian He, Bo Yang, Hui Liu, Zhangxin Chen:
A New In-Situ Combustion Simulator for Parallel Computers. - Luna M. Zhang:
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification. - K. Manikandan, Ayush Patidar, Pallav Walia, Aneek Barman Roy:
Hand Gesture Detection and Conversion to Speech and Text. - Yann Traonmilin, Jean-François Aujol:
The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. - Daniil Osokin:
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose. - Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-order Pooling Convolutional Networks. - Timo Sämann, Karl Amende, Stefan Milz, Christian Witt, Martin Simon, Johannes Petzold:
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation. - Xiang Gao, Wei Hu, Jiaxiang Tang, Pan Pan, Jiaying Liu, Zongming Guo:
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. - Yi-Lun Liao, Yao-Cheng Yang, Yu-Chiang Frank Wang:
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency. - Lijie Chen, Ryan Williams:
An Equivalence Class for Orthogonal Vectors. - Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka:
Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs. - Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. - Qing Song, Yingqi Wu, Lu Yang:
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network. - Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida, Tatsumi Oba, Yuji Unagami, Tadanori Teruya, Nuttapong Attrapadung, Takahiro Matsuda, Goichiro Hanaoka:
MOBIUS: Model-Oblivious Binarized Neural Networks. - Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan:
Grid R-CNN. - Siwen Jiang, Wenxuan Wei, Shihao Guo, Hongguang Fu, Lei Huang:
Utilizing Complex-valued Network for Learning to Compare Image Patches. - Hayato Takahashi:
The distributions of sliding block patterns in finite samples and the inclusion-exclusion principles for partially ordered sets. - Iñigo Alonso, Ana C. Murillo:
EV-SegNet: Semantic Segmentation for Event-based Cameras. - Yatharth Dubey, Aleksandra Korolova:
The Power of The Hybrid Model for Mean Estimation. - Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee:
RAM: Residual Attention Module for Single Image Super-Resolution. - David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. - Xutong Ren, Lingxi Xie, Chen Wei, Siyuan Qiao, Chi Su, Jiaying Liu, Alan L. Yuille:
Progressive Recurrent Learning for Visual Recognition. - Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry:
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. - Satoshi Terai, Koichi Wada, Yoshiaki Katayama:
Gathering Problems for Autonomous Mobile Robots with Lights. - Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim, Ying-Chang Liang:
Joint Service Pricing and Cooperative Relay Communication for Federated Learning. - Nico Potyka:
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report). - Simon R. Arridge, Andreas Hauptmann:
Networks for Nonlinear Diffusion Problems in Imaging. - Deepak Sirone, Pramod Subramanyan:
Functional Analysis Attacks on Logic Locking. - Oylum Seker, Tínaz Ekim, Z. Caner Taskin:
An Exact Cutting Plane Algorithm to Solve the Selective Graph Coloring Problem in Perfect Graphs. - Felix Rath, Daniel Schemmel, Klaus Wehrle:
Interoperability-Guided Testing of QUIC Implementations using Symbolic Execution. - Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada:
Towards Human-Friendly Referring Expression Generation. - Kilho Son, Jesse Hostetler, Sek M. Chai:
Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines. - R. Thomas McCoy, Tal Linzen:
Non-entailed subsequences as a challenge for natural language inference. - Xiaoyu Chen, Gerhard Reinelt, Guangming Dai, Andreas Spitz:
A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling. - Anton Fuxjaeger, Vaishak Belle:
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation. - Xiaohua Wang, Muzi Peng, Lijuan Pan, Min Hu, Chunhua Jin, Fuji Ren:
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition. - Imanol Schlag, Jürgen Schmidhuber:
Learning to Reason with Third-Order Tensor Products. - Michael Hartisch, Ulf Lorenz:
Game Tree Search in a Robust Multistage Optimization Framework: Exploiting Pruning Mechanisms. - Igor Shalyminov, Sungjin Lee:
Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout. - Haoran Wang, Yue Fan, Zexin Wang, Licheng Jiao, Bernt Schiele:
Parameter-Free Spatial Attention Network for Person Re-Identification. - Hila Levi, Shimon Ullman:
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. - Christian Jilek, Yannick Runge, Claudia Niederée, Heiko Maus, Tobias Tempel, Andreas Dengel, Christian Frings:
Managed Forgetting to Support Information Management and Knowledge Work. - Huan Song, Jayaraman J. Thiagarajan:
Improved Community Detection using Deep Embeddings from Multilayer Graphs. - Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal Network Representation for Heterogeneous Information Networks. - Aakash Sinha, Rémy Cazabet, Rémi Vaudaine:
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods. - Jianguo Chen, Kenli Li, Kashif Bilal, Ahmed A. Metwally, Keqin Li, Philip S. Yu:
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning. - Christian Neuss, Robert E. Kent:
Conceptual Analysis of Resource Meta-information. - Jonathan Eskreis-Winkler, Risi Kondor:
Effective Resistance-based Germination of Seed Sets for Community Detection. - Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. - Yukio Ohsawa:
Graph based Entropy for Detecting Explanatory Signs of Changes in Market. - Ryohei Hisano, Didier Sornette, Takayuki Mizuno:
Predicting Adverse Media Risk using a Heterogeneous Information Network. - Zhou Yang, Long Hoang Nguyen, Fang Jin:
Predicting Opioid Relapse Using Social Media Data. - Alexandre Hocquet, Frédéric Wieber:
"Only the Initiates Will Have the Secrets Revealed": Computational Chemists and the Openness of Scientific Software. - Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja:
Data-parallel distributed training of very large models beyond GPU capacity. - Christian Jilek, Jessica Chwalek, Sven Schwarz, Markus Schröder, Heiko Maus, Andreas Dengel:
Advanced Memory Buoyancy for Forgetful Information Systems. - Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. - Abhisek Das, Satanik Panda, Suman Datta, Soumitra Naskar, Prateep Misra, Tanushyam Chattopadhyay:
AI based Safety System for Employees of Manufacturing Industries in Developing Countries. - Tim Pearce, Mohamed Zaki, Andy Neely:
Bayesian Neural Network Ensembles. - Timon Elmer, Krishna Chaitanya, Prateek Purwar, Christoph Stadtfeld:
The validity of RFID badges measuring face-to-face interactions. - Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual CNNs for Burst Photography Applications. - Marco Cavallo, Çagatay Demiralp:
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. - Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska:
Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks. - Dabiao Ma, Zhiba Su, Yuhao Lu, Wenxuan Wang, Zhen Li:
UFANS: U-shaped Fully-Parallel Acoustic Neural Structure For Statistical Parametric Speech Synthesis With 20X Faster. - Kathleen Campbell Garwood, Arpit Arun Dhobale:
A comparison of cluster algorithms as applied to unsupervised surveys. - Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer. - Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang:
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. - Wenfu Wang, Weijie Yang, An Chen, Zhijie Pan:
A Scoring Method for Driving Safety Credit Using Trajectory Data. - Wen Wang, Rema Padman, Nirav Shah:
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy. - Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. - Thomas Janssoone, Clémence Bic, Dorra Kanoun, Pierre Hornus, Pierre Rinder:
Machine Learning on Electronic Health Records: Models and Features Usages to predict Medication Non-Adherence. - Siyu Huang, Zhi-Qi Cheng, Xi Li, Xiao Wu, Zhongfei Zhang, Alexander G. Hauptmann:
Perceiving Physical Equation by Observing Visual Scenarios. - Carolin Lawrence, Stefan Riezler:
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. - Geoff Goodell, Tomaso Aste:
Can Cryptocurrencies Preserve Privacy and Comply with Regulations? - Yuancheng Ye, Xiaodong Yang, Yingli Tian:
Discovering Spatio-Temporal Action Tubes. - Marthe Bonamy, Konrad K. Dabrowski, Matthew Johnson, Daniël Paulusma:
Graph Isomorphism for (H1, H2)-free Graphs: An Almost Complete Dichotomy. - Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the stochastic and the adversarial Bandits with Knapsack. - Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi:
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. - Adriano Pastore, Michael Gastpar:
Locally Differentially-Private Randomized Response for Discrete Distribution Learning. - Roberto Calvo-Palomino, Héctor Cordobés, Markus Engel, Markus Fuchs, Pratiksha Jain, Marc Liechti, Sreeraj Rajendran, Matthias Schäfer, Bertold Van den Bergh, Sofie Pollin, Domenico Giustiniano, Vincent Lenders:
Electrosense+: Empowering People to Decode the Radio Spectrum. - Christian Lessig:
Ψec: A Local Spectral Exterior Calculus. - Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu:
On the Transferability of Representations in Neural Networks Between Datasets and Tasks. - Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha A. Kass-Hout:
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning. - Finn Olav Bjørnson, Torgeir Dingsøyr:
Knowledge Management in Software Engineering: A Systematic Review of Studied Concepts, Findings and Research Methods Used. - Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. - Colin S. Gordon:
Sequential Effect Systems with Control Operators. - Thorsten Wißmann, Jérémy Dubut, Shin-ya Katsumata, Ichiro Hasuo:
Path category for free - Open morphisms from coalgebras with non-deterministic branching. - Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. - Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Andreas Hutter, Jan Ernst:
Incremental Scene Synthesis. - Oleg O. Khamisov, Janusz W. Bialek, Anatoly Dymarsky:
Stability of Disturbance Based Unified Control. - Amandine Aftalion, Pierre Martinon:
Optimizing running a race on a curved track. - Dian Mo, Marco F. Duarte:
Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation. - Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. - Ye Yu, William A. P. Smith:
InverseRenderNet: Learning single image inverse rendering. - Neil J. Gunther, Mohit Chawla:
Linux-Tomcat Application Performance on Amazon AWS. - Sina Mohseni, Eric D. Ragan:
Combating Fake News with Interpretable News Feed Algorithm. - Nils Mönning, Suresh Manandhar:
Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks. - Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, Yoav Artzi:
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. - Francesco Locatello, Stefan Bauer, Mario Lucic, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. - Manoel B. Campêlo, Daniel Severín:
The polytope of legal sequences. - Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan:
Smoothed Analysis in Unsupervised Learning via Decoupling. - Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. - Peter T. Breuer, Jonathan P. Bowen:
(Un)Encrypted Computing and Indistinguishability Obfuscation. - Johannes Bund, Christoph Lenzen, Moti Medina:
Small Hazard-free Transducers. - Eric Neiva, Michele Chiumenti, Miguel Cervera, Emilio Salsi, Gabriele Piscopo, Santiago Badia, Alberto F. Martín, Zhuoer Chen, Caroline Lee, Christopher Davies:
Numerical modelling of heat transfer and experimental validation in Powder-Bed Fusion with the Virtual Domain Approximation. - Ke Li, Tianhao Zhang, Jitendra Malik:
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE. - Stefan Haar, Juraj Kolcák, Loïc Paulevé:
Combining Refinement of Parametric Models with Goal-Oriented Reduction of Dynamics. - Sergio Barrachina-Muñoz, Francesc Wilhelmi, Ioannis Selinis, Boris Bellalta:
Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs. - Ke Li, Jitendra Malik:
On the Implicit Assumptions of GANs. - Ching-Hua Chuan, Kat Agres, Dorien Herremans:
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. - Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. - Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar:
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. - Ori Sberlo, Amir Shpilka:
On the Performance of Reed-Muller Codes with respect to Random Errors and Erasures. - Francesco Malandrino, Carla-Fabiana Chiasserini, Claudio Casetti, Luca Chiaraviglio, Andrea Senacheribbe:
Planning UAV Activities for Efficient User Coverage in Disaster Areas. - R. C. Fernandes, T. M. Machado, H. J. Onisto, A. D. Muñoz, R. O. Silva, L. R. Domingues, G. C. Fonseca, J. E. Bertuzzo, M. T. Pereira, B. Biazotto, E. T. Costa:
A rule-based system proposal to aid in the evaluation and decision-making in external beam radiation treatment planning. - Catarina Moreira:
Unifying Decision-Making: a Review on Evolutionary Theories on Rationality and Cognitive Biases. - Christos-Alexandros Psomas, Ariel Schvartzman, S. Matthew Weinberg:
Smoothed Analysis of Multi-Item Auctions with Correlated Values. - Daniel Ritchie, Kai Wang, Yu-An Lin:
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. - Adam R. White, Li Bai:
Increasing the Capability of Neural Networks for Surface Reconstruction from Noisy Point Clouds. - Úlfar Erlingsson, Vitaly Feldman, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Abhradeep Thakurta:
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity. - Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo:
Analyzing Federated Learning through an Adversarial Lens. - Steven F. Hoover, Ákos Hadnagy:
Formally Verifying WARP-V, an Open-Source TL-Verilog RISC-V Core Generator. - Aniket Gulhane, Akhil Vyas, Reshmi Mitra, Roland Oruche, Gabriela Hoefer, Samaikya Valluripally, Prasad Calyam, Khaza Anuarul Hoque:
Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications. - Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan:
Learning to Separate Multiple Illuminants in a Single Image. - Fahad Shamshad, Muhammad Awais, Muhammad Asim, Zain ul Aabidin Lodhi, Muhammad Umair, Ali Ahmed:
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising. - Francisco Leiva, Nicolás Cruz, Ignacio Bugueño, Javier Ruiz-del-Solar:
Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach. - Dushyant Mehta, Kwang In Kim, Christian Theobalt:
On Implicit Filter Level Sparsity in Convolutional Neural Networks. - Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie:
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. - Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. - Quentin Bouillaguet, François Bobot, Mihaela Sighireanu, Boris Yakobowski:
Exploiting Pointer Analysis in Memory Models for Deductive Verification. - Daniel Jönsson, Peter Steneteg, Erik Sundén, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo - A Visualization System with Usage Abstraction Levels. - Eli Sherman, Hitinder S. Gurm, Ulysses J. Balis, Scott R. Owens, Jenna Wiens:
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale. - Bertie Ancona, Monika Henzinger, Liam Roditty, Virginia Vassilevska Williams, Nicole Wein:
Algorithms and Hardness for Diameter in Dynamic Graphs. - Anurag Koul, Sam Greydanus, Alan Fern:
Learning Finite State Representations of Recurrent Policy Networks. - Jiaming Zeng, Adam Lesnikowski, Jose M. Alvarez:
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning. - Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas:
Topology-Aware Surface Reconstruction for Point Clouds. - Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network. - Édouard Bonnet, Sergio Cabello, Bojan Mohar, Hebert Pérez-Rosés:
The inverse Voronoi problem in graphs. - Soheil Mohseni, Seyed Masoud Moghaddas Tafreshi:
Development of a Multi-Agent System for Optimal Sizing of a Commercial Complex Microgrid. - MohammadHossein Bateni, MohammadTaghi Hajiaghayi, Saeed Seddighin, Cliff Stein:
Fast Algorithms for Knapsack via Convolution and Prediction. - Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou:
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. - (Withdrawn) How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology.
- Aleksandra Malysheva, Tegg Tae Kyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman:
Deep Multi-Agent Reinforcement Learning with Relevance Graphs. - Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau:
An Introduction to Deep Reinforcement Learning. - Tianqi Zhao:
Deep Multimodal Learning: An Effective Method for Video Classification. - Juhan Bae, Guodong Zhang, Roger B. Grosse:
Eigenvalue Corrected Noisy Natural Gradient. - Chandra Chekuri, Kent Quanrud:
Parallelizing greedy for submodular set function maximization in matroids and beyond. - Kailas Vodrahalli, Ke Li, Jitendra Malik:
Are All Training Examples Created Equal? An Empirical Study. - Quan Z. Sheng, Jian Yu, Hanchuan Xu, Wei Emma Zhang, Anne H. H. Ngu, Jun Han, Ruilin Liu:
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services. - Étienne André, Benoît Delahaye, Paulin Fournier, Didier Lime:
Parametric Timed Broadcast Protocols. - Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. - Beau Norgeot, Dmytro Lituiev, Benjamin S. Glicksberg, Atul J. Butte:
Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care. - Yuheng Bu, Kevin Small:
Active Learning in Recommendation Systems with Multi-level User Preferences. - Lu Yang, Qing Song, Zhihui Wang, Ming Jiang:
Parsing R-CNN for Instance-Level Human Analysis. - Hongwei Lin, Hao Huang, Chuanfeng Hu:
Constructing Trivariate B-splines with Positive Jacobian by Pillow Operation and Geometric Iterative Fitting. - Kyle Vedder, Joydeep Biswas:
X*: Anytime Multiagent Planning With Bounded Search. - Chuanfeng Hu, Hongwei Lin:
Gregory Solid Construction for Polyhedral Volume Parameterization by Sparse Optimization. - Angus Galloway, Anna Golubeva, Graham W. Taylor:
Adversarial Examples as an Input-Fault Tolerance Problem. - Wei Chen, Xiaopeng Zheng, Jingyao Ke, Na Lei, Zhongxuan Luo, Xianfeng Gu:
Metric Based Quadrilateral Mesh Generation. - Qingyu Liu, Haibo Zeng, Minghua Chen:
Minimizing Age-of-Information with Throughput Constraints in Multi-Path Network Communication. - Lou Zhao:
Millimeter Wave Systems for Wireless Cellular Communications. - Savinay Nagendra, Christopher Funk, Robert T. Collins, Yanxi Liu:
Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics. - Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi:
DeepFlux for Skeletons in the Wild. - Vishal Sharma:
An Energy-Efficient Transaction Model for the Blockchain-enabled Internet of Vehicles (IoV). - Binghui Chen, Weihong Deng, Haifeng Shen:
Virtual Class Enhanced Discriminative Embedding Learning. - Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang:
An Interpretable Model with Globally Consistent Explanations for Credit Risk. - Gurcan Comert, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury:
Change Point Models for Real-time V2I Cyber Attack Detection in a Connected Vehicle Environment. - Mohamad Gharib, John Mylopoulos:
A Core Ontology for Privacy Requirements Engineering. - Elham J. Barezi, Peyman Momeni, Ian D. Wood, Pascale Fung:
Modality-based Factorization for Multimodal Fusion. - Hyungu Kahng, Yonghyun Jung, Yoon-Sang Cho, Gonie Ahn, Youngjoon Park, Uk Jo, Hankyu Lee, Hyungrok Do, Junseung Lee, Hyunjin Choi, Iljoo Yoon, Hyunjae Lee, Daehun Jun, Changhyeon Bae, Seoung Bum Kim:
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders. - Haifeng Yu, Ivica Nikolic, Ruomu Hou, Prateek Saxena:
OHIE: Blockchain Scaling Made Simple. - Li Huang, Yifeng Yin, Zeng Fu, Shifa Zhang, Hao Deng, Dianbo Liu:
LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data. - Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. - Sooyeon Lee, Huy Kang Kim:
ADSaS: Comprehensive Real-time Anomaly Detection System. - Jyoti Islam, Yanqing Zhang:
Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning. - Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. - Xingxing Wei, Siyuan Liang, Xiaochun Cao, Jun Zhu:
Transferable Adversarial Attacks for Image and Video Object Detection. - Jinseok Choi, Yunseong Cho, Brian L. Evans, Alan Gatherer:
Robust Learning-Based ML Detection for Massive MIMO Systems with One-Bit Quantized Signals. - Jiadong Guo, Paulo V. K. Borges, Chanoh Park, Abel Gawel:
Local Descriptor for Robust Place Recognition using LiDAR Intensity. - Andrew Zhai, Hao-Yu Wu:
Making Classification Competitive for Deep Metric Learning. - Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia:
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. - Yiling Chen, Shuran Zheng:
Prior-free Data Acquisition for Accurate Statistical Estimation. - Lin Chen, Nicole Megow, Roman Rischke, Leen Stougie, José Verschae:
Optimal Algorithms for Scheduling under Time-of-Use Tariffs. - Kosuke Sakata:
An efficient reduction strategy for signature-based algorithms to compute Groebner basis. - Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima:
FSNet: An Identity-Aware Generative Model for Image-based Face Swapping. - Xiangxiang Chu, Xinjie Yu:
Improved Crowding Distance for NSGA-II. - (Withdrawn) Structured Information Retrieval Strategies for Localising Software Changes.
- Weidong Yin, Ziwei Liu, Chen Change Loy:
Instance-level Facial Attributes Transfer with Geometry-Aware Flow. - Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. - Thai T. Vu, Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks. - Ya Zhou, Zhibo Chen, Weiping Li:
Hybrid Distortion Aggregated Visual Comfort Assessment for Stereoscopic Image Retargeting. - Konstantinos Gavriil, Georg Muntingh, Oliver J. D. Barrowclough:
Void Filling of Digital Elevation Models with Deep Generative Models. - Atif Nazir, Kashif Nazir:
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features. - Sabah S. Al-Fedaghi, Mahmoud BehBehani:
Thinging Machine applied to Information Leakage. - Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas:
Style Decomposition for Improved Neural Style Transfer. - Andrey Demichev, Alexander P. Kryukov, Nikolai Prikhodko:
The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform. - Thai T. Vu, Diep N. Nguyen, Eryk Dutkiewicz:
2D Proactive Uplink Resource Allocation Algorithm for Event Based MTC Applications. - Jishnu Mukhoti, Yarin Gal:
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation. - Pascal Gadient, Mohammad Ghafari, Patrick Frischknecht, Oscar Nierstrasz:
Security Code Smells in Android ICC. - Abbas Javan Jafari, Abbas Rasoolzadegan:
Security Patterns: A Systematic Mapping Study. - Zheng Wang:
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Convergence Analysis and Enhancement. - Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, Óscar Corcho, Raúl García-Castro:
Completeness and Consistency Analysis for Evolving Knowledge Bases. - Aswin Kannan, Shanmukha C. Guttula, Balaji Ganesan, Hima P. Karanam, Arun Kumar:
Document Structure Measure for Hypernym discovery. - Tavi Halperin, Ariel Ephrat, Yedid Hoshen:
Neural separation of observed and unobserved distributions. - Georgia Avarikioti, Felix Laufenberg, Jakub Sliwinski, Yuyi Wang, Roger Wattenhofer:
Towards Secure and Efficient Payment Channels. - Christoph Rettinger, Ulrich Rüde:
Dynamic Load Balancing Techniques for Particulate Flow Simulations. - Akash Kumar, Sagnik Bhowmick, Natarajan Jayanthi, S. Indu:
Improving Landmark Recognition using Saliency detection and Feature classification. - Yexun Zhang, Ya Zhang, Yanfeng Wang, Qi Tian:
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption. - Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. - Axel Davy, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias:
Non-Local Video Denoising by CNN. - Thibaud Ehret, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias:
Model-blind Video Denoising Via Frame-to-frame Training. - Moshiur R. Farazi, Salman Hameed Khan, Nick Barnes:
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts. - Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Zhen Cui:
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning. - Max Maass, Nicolas Walter, Dominik Herrmann, Matthias Hollick:
On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market. - Nikit Begwani, Shrutendra Harsola, Rahul Agrawal:
Cost-sensitive Learning of Deep Semantic Models for Sponsored Ad Retrieval. - Gonzalo Navarro, Nicola Prezza:
Faster Attractor-Based Indexes. - Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung:
A Framework for Fast and Efficient Neural Network Compression. - Shuai Li:
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks. - Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor Simpson:
The GAN that Warped: Semantic Attribute Editing with Unpaired Data. - Yixing Zhu, Jun Du:
TextMountain: Accurate Scene Text Detection via Instance Segmentation. - Nico Potyka:
A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor. - Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho:
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. - Monica Agrawal, Griffin Adams, Nathan Nussbaum, Benjamin Birnbaum:
TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes. - Mieczyslaw A. Klopotek:
Structure and Motion from Multiframes. - Pei Pei Chen, Anna Guitart, Ana Fernández del Río, África Periáñez:
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models. - Vaibhav Kulkarni, Natasa Tagasovska, Thibault Vatter, Benoît Garbinato:
Generative Models for Simulating Mobility Trajectories. - Qiuyi Wu, Ernest Fokoué:
Naive Dictionary On Musical Corpora: From Knowledge Representation To Pattern Recognition. - Huan Zhang, Yulong Liu, Hong Lei:
Localization from Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach. - Cristina Elena Turcu, Cornel Turcu, Vasile Gaitan:
An Internet of Things Oriented Approach for Water Utility Monitoring and Control. - Sebastian Raschka:
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. - Felipe Grando, Luís C. Lamb:
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. - Waqas Bin Abbas, Felipe Gómez-Cuba, Michele Zorzi:
Millimeter Wave Receiver Comparison Under Energy vs Spectral Efficiency Trade-off. - Oishee Bintey Hoque, Mohammad Imrul Jubair, Md. Saiful Islam, Al-Farabi Akash, Alvin Sachie Paulson:
Real Time Bangladeshi Sign Language Detection using Faster R-CNN. - Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. - Felix G. Hamza-Lup, Jannick P. Rolland, Charles E. Hughes:
A Distributed Augmented Reality System for Medical Training and Simulation. - Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. - Klaus Albert, Karmvir Singh Phogat, Felix Anhalt, Ravi N. Banavar, Debasish Chatterjee, Boris Lohmann:
Structure-preserving constrained optimal trajectory planning of a wheeled inverted pendulum. - Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Sergey I. Nikolenko, Alán Aspuru-Guzik, Alex Zhavoronkov:
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. - Benjamin Doerr, Carsten Witt, Jing Yang:
Runtime Analysis for Self-adaptive Mutation Rates. - Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. - Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. - Tom Tirer, Raja Giryes:
Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. - Ahmed Zerouali, Tom Mens, Gregorio Robles, Jesús M. González-Barahona:
On The Relation Between Outdated Docker Containers, Severity Vulnerabilities and Bugs. - Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville:
Systematic Generalization: What Is Required and Can It Be Learned? - Rahul Goel, Shachi Paul, Tagyoung Chung, Jérémie Lecomte, Arindam Mandal, Dilek Hakkani-Tür:
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems. - Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal:
Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision. - Yang Zhang, Arnob Ghosh, Vaneet Aggarwal:
Optimized Portfolio Contracts for Bidding the Cloud. - Maleknaz Nayebi, Yuanfang Cai, Rick Kazman, Guenther Ruhe, Qiong Feng, Chris Carlson, Francis Chew:
A Longitudinal Study of Identifying and Paying Down Architectural Debt. - Carmen Perez-Esparrells, Enrique Orduña-Malea:
Do the technical universities exhibit distinct behaviour in global university rankings? A Times Higher Education (THE) case study. - Pawel Korus:
Large-Scale and Fine-Grained Evaluation of Popular JPEG Forgery Localization Schemes. - Daniel Muller, Erez Karpas:
Automated Tactical Decision Planning Model with Strategic Values Guidance for Local Action-Value-Ambiguity. - Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Joint Information Freshness and Completion Time Optimization for Vehicular Networks. - Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen:
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. - Ondrej Biza, Robert Platt Jr.:
Online abstraction with MDP homomorphisms for Deep Learning. - Marek Rei, Joshua Oppenheimer, Marek Sirendi:
Advance Prediction of Ventricular Tachyarrhythmias using Patient Metadata and Multi-Task Networks. - Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez:
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent. - David B. Ramsay, Kevin Kilgour, Dominik Roblek, Matthew Sharifi:
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition. - Raphael Suter, Ðorðe Miladinovic, Stefan Bauer, Bernhard Schölkopf:
Interventional Robustness of Deep Latent Variable Models. - Denis S. Krotov:
On the gaps of the spectrum of volumes of trades. - Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst:
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction. - Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. - Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. - Thomas Navidi, Abbas El Gamal, Ram Rajagopal:
A Two-layer Decentralized Control Architecture for DER Coordination. - Benjamin James Lansdell, Konrad Paul Körding:
Towards learning-to-learn. - Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa:
HMLasso: Lasso for High Dimensional and Highly Missing Data. - Michael Szell, Yifang Ma, Roberta Sinatra:
Interdisciplinarity: A Nobel Opportunity. - Arnu Pretorius, Elan Van Biljon, Steve Kroon, Herman Kamper:
Critical initialisation for deep signal propagation in noisy rectifier neural networks. - Supriyo Dutta:
A Boolean Functions Theoretic Approach to Quantum Hypergraph States and Entanglement. - Diogo R. Ferreira:
Applications of Deep Learning to Nuclear Fusion Research. - Eero-Pekka Damskägg, Lauri Juvela, Etienne Thuillier, Vesa Välimäki:
Deep Learning for Tube Amplifier Emulation. - Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro:
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. - Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey:
Dilated DenseNets for Relational Reasoning. - Carolina Becatti, Irene Crimaldi, Fabio Saracco:
Collaboration and followership: a stochastic model for activities in bipartite social networks. - Daniel J. Tait, Bruce J. Worton:
Multiplicative Latent Force Models. - Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon:
Learning Beam Search Policies via Imitation Learning. - Daniel Emaasit:
Pymc-learn: Practical Probabilistic Machine Learning in Python. - Emmanouil Theodosis, Petros Maragos:
Tropical Modeling of Weighted Transducer Algorithms on Graphs. - Miki E. Verma, Robert A. Bridges:
Defining a Metric Space of Host Logs and Operational Use Cases. - Valery Kharitonov, Dmitry Molchanov, Dmitry P. Vetrov:
Variational Dropout via Empirical Bayes. - Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, Mark D. Fuge:
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning. - Radoslaw Piliszek, Krzysztof Mnich, Szymon Migacz, Pawel Tabaszewski, Andrzej Sulecki, Aneta Polewko-Klim, Witold R. Rudnicki:
MDFS - MultiDimensional Feature Selection. - Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-random number generators for multivariate distributions based on generative neural networks. - Martin Jankowiak:
Closed Form Variational Objectives For Bayesian Neural Networks with a Single Hidden Layer. - Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-François Chamberland, Dongning Guo:
Asynchronous Neighbor Discovery Using Coupled Compressive Sensing. - Cynthia Rudin, Caroline Wang, Beau Coker:
The age of secrecy and unfairness in recidivism prediction. - Pang Wei Koh, Jacob Steinhardt, Percy Liang:
Stronger Data Poisoning Attacks Break Data Sanitization Defenses. - Marc Goerigk, Stephen J. Maher:
Generating Hard Instances for Robust Combinatorial Optimization. - Prashant Kumar, Martin Schmelzer, Richard P. Dwight:
Stochastic turbulence modeling in RANS simulations via Multilevel Monte Carlo. - Bin Liu, Shuai Nie, Yaping Zhang, Shan Liang, Wenju Liu:
Deep Segment Attentive Embedding for Duration Robust Speaker Verification. - Xin Chen, Changhong Zhao, Na Li:
Distributed Automatic Load-Frequency Control with Optimality in Power Systems. - Natasa Tagasovska, David Lopez-Paz:
Frequentist uncertainty estimates for deep learning. - Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg:
Foundations of Comparison-Based Hierarchical Clustering. - Shahina Rahman, Valen E. Johnson:
A Fast Algorithm for Clustering High Dimensional Feature Vectors. - Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton:
Discovering conservation laws from data for control. - Pawel M. Chilinski, Ricardo Silva:
Neural Likelihoods via Cumulative Distribution Functions. - Cole Franks:
A simplified disproof of Beck's three permutations conjecture and an application to root-mean-squared discrepancy. - Peter Frankl, Andrey Kupavskii:
Diversity. - Hala As'ad, Martin Bouchard, A. Homayoun Kamkar-Parsi:
A Robust Binaural Linearly Constrained Minimum Variance with Spatial Cues Preservation for Hearing Aids Beamforming. - Yogesh Kumar, Srikant Sukumar, Debasish Chatterjee:
Optimal multiplexing of sparse controllers for linear systems. - Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and Comparing Scalable Gaussian Process Regression for Big Data. - Jiequn Han, Jihao Long:
Convergence of the Deep BSDE Method for Coupled FBSDEs. - Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-scale Heteroscedastic Regression via Gaussian Process. - Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. - Marcelo Losada, Ignacio S. Gomez, Federico Hernan Holik:
Hermite-Gaussian model for quantum states. - Coralia Cartis, Nick I. M. Gould, Philippe L. Toint:
Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints. - Mrinmoy Bhattacharjee, S. R. M. Prasanna, Prithwijit Guha:
Time-Frequency Audio Features for Speech-Music Classification. - Joshua Garland, Tyler R. Jones, Michael Neuder, Valerie Morris, James W. C. White, Elizabeth Bradley:
Anomaly Detection in Paleoclimate Records using Information Theory. - Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò:
Towards Sparse Hierarchical Graph Classifiers. - Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam:
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes. - Rajesh Dachiraju:
A Function Fitting Method. - Maryam Khalid, Osama Amin, Sajid Ahmed, Basem Shihada, Mohamed-Slim Alouini:
Communication Through Breath: Aerosol Transmission. - Koichi Tojo, Taro Yoshino:
A method to construct exponential families by representation theory. - Aditya Potukuchi:
Discrepancy in random hypergraph models. - Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang:
Low-Rank Phase Retrieval via Variational Bayesian Learning. - Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant:
Log-Concave Polynomials III: Mason's Ultra-Log-Concavity Conjecture for Independent Sets of Matroids. - R. Pradeep, K. Sreenivasa Rao:
Manner of Articulation Detection using Connectionist Temporal Classification to Improve Automatic Speech Recognition Performance. - Louise Budzynski, Federico Ricci-Tersenghi, Guilhem Semerjian:
Biased landscapes for random Constraint Satisfaction Problems. - Junhong Lin, Volkan Cevher:
Kernel Conjugate Gradient Methods with Random Projections. - Bailey Kacsmar, Douglas R. Stinson:
A Network Reliability Approach to the Analysis of Combinatorial Repairable Threshold Schemes. - William Waites, Goksel Misirli, Matteo Cavaliere, Vincent Danos, Anil Wipat:
Compiling Combinatorial Genetic Circuits with Semantic Inference. - Alexandria Volkening, Daniel F. Linder, Mason A. Porter, Grzegorz A. Rempala:
Forecasting elections using compartmental models of infections. - Jelena Diakonikolas, Cristóbal Guzmán:
Lower Bounds for Parallel and Randomized Convex Optimization. - Robert A. Giaquinto, Arindam Banerjee:
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. - Omri Ben-Eliezer, Eldar Fischer, Amit Levi, Yuichi Yoshida:
Limits of Ordered Graphs and Images. - Liu Yang, Dongkun Zhang, George E. Karniadakis:
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. - Péter Udvarhelyi, Roland Nagy, Florian Kaiser, Sang-Yun Lee, Jörg Wrachtrup, Ádám Gali:
Spectrally stable defect qubits with no inversion symmetry for robust spin-to-photon interface. - Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. - Ivan Voitalov, Pim van der Hoorn, Remco van der Hofstad, Dmitri V. Krioukov:
Scale-free Networks Well Done. - Dustin Tran, Matthew D. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul, Matthew J. Johnson, Rif A. Saurous:
Simple, Distributed, and Accelerated Probabilistic Programming. - Po-Ling Loh:
Scale calibration for high-dimensional robust regression. - Ingoo Lee, Jongsoo Keum, Hojung Nam:
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. - Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak:
Language model integration based on memory control for sequence to sequence speech recognition. - Amritanshu Prasad:
Knuth's Moves on Timed Words. - Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte:
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning. - Kantour Nedjmeddine, Bouroubi Sadek, Chaabane Djamel:
A Parallel MOEA with Criterion-based Selection Applied to the Knapsack Problem. - Johan Barthélemy, Morgane Dumont, Timoteo Carletti:
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables. - Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. - Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee:
Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. - Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij:
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning. - Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker verification using end-to-end adversarial language adaptation. - Xianrui Zhang, Meng-Ying Lei, Yang Li:
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding. - Yuma Koizumi, Noboru Harada, Yoichi Haneda:
Trainable Adaptive Window Switching for Speech Enhancement. - Daniel Hernández, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John P. Cunningham, Liam Paninski:
A Novel Variational Family for Hidden Nonlinear Markov Models. - René Vestergaard, Emmanuel Pietriga:
Proofs of life: molecular-biology reasoning simulates cell behaviors from first principles. - William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
Unifying Probabilistic Models for Time-Frequency Analysis. - Takashi Morita, Hiroki Koda:
Superregular grammars do not provide additional explanatory power but allow for a compact analysis of animal song. - Junjie Shi, Guangyi Liu, Renchang Dai, Jingjin Wu, Chen Yuan, Zhiwei Wang:
Graph Based Power Flow Calculation for Energy Management System. - Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski:
Double Adaptive Stochastic Gradient Optimization. - Raef Bassily, Mikhail Belkin, Siyuan Ma:
On exponential convergence of SGD in non-convex over-parametrized learning. - Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition. - Ronald M. Caplan, Jon A. Linker, Zoran Mikic, C. Downs, T. Török, V. S. Titov:
GPU Acceleration of an Established Solar MHD Code using OpenACC. - Philippe Schwaller, Teodoro Laino, Théophile Gaudin, Peter Bolgar, Costas Bekas, Alpha A. Lee:
Molecular Transformer for Chemical Reaction Prediction and Uncertainty Estimation. - Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. - Alper Atamtürk, Andrés Gómez, Shaoning Han:
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations. - Gianluca Bianchin, Fabio Pasqualetti:
Gramian-Based Optimization for the Analysis and Control of Traffic Networks. - Alessandra Graf, Penny Haxell:
Finding Independent Transversals Efficiently. - Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk R. Englund, Marin Soljacic:
Photonic Recurrent Ising Sampler. - Richard Garner:
Hypernormalisation, linear exponential monads and the Giry tricocycloid. - Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart:
Distributionally Robust Graphical Models. - Nelson Yalta, Shinji Watanabe, Takaaki Hori, Kazuhiro Nakadai, Tetsuya Ogata:
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments. - Hyungjun Lim, Younggwan Kim, Youngmoon Jung, Myunghun Jung, Hoirin Kim:
Learning acoustic word embeddings with phonetically associated triplet network. - Kursat Rasim Mestav, Jaime Luengo-Rozas, Lang Tong:
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning. - Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for sequence-to-sequence ASR. - Ye Tian, Weiping Zhang:
THORS: An Efficient Approach for Making Classifiers Cost-sensitive. - Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Marcel van Gerven:
Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference. - Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. - Yaneer Bar-Yam:
Power and Leadership: A Complex Systems Science Approach Part I - Representation and Dynamics. - Yuji Yoshimura, Roberta Sinatra, Anne Krebs, Carlo Ratti:
Analysis of visitors' mobility patterns through random walk in the Louvre museum. - Ondrej Novotný, Oldrich Plchot, Pavel Matejka, Ondrej Glembek:
On the use of DNN Autoencoder for Robust Speaker Recognition. - Benjamin Mark, Garvesh Raskutti, Rebecca Willett:
Estimating Network Structure from Incomplete Event Data. - Atul Singh Arora, Jérémie Roland, Stephan Weis:
Quantum Weak Coin Flipping. - Loc Hoang Tran, Linh Hoang Tran:
Un-normalized hypergraph p-Laplacian based semi-supervised learning methods. - Janusz Klejsa, Per Hedelin, Cong Zhou, Roy Fejgin, Lars F. Villemoes:
High-quality speech coding with SampleRNN. - Gautam Bhattacharya, Jahangir Alam, Patrick Kenny:
Adapting End-to-End Neural Speaker Verification to New Languages and Recording Conditions with Adversarial Training. - Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick Kenny:
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification. - Levi Fussell, Ben Moews:
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks. - Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Distributed Low-rank Matrix Factorization. - Marvin Aron Kennis:
Multi-channel discourse as an indicator for Bitcoin price and volume movements. - Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. - Tengyuan Liang:
On How Well Generative Adversarial Networks Learn Densities: Nonparametric and Parametric Results. - Ming-Ming Wang, Lin-Ming Gong, Lian-He Shao:
Efficient semiquantum key distribution. - Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh:
Robustness of Conditional GANs to Noisy Labels. - Michael A. Jacobs, Christopher Umbricht, Vishwa S. Parekh, Riham El Khouli, Leslie Cope, Katarzyna J. Macura, Susan C. Harvey, Antonio C. Wolff:
Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array. - Yun Kuen Cheung, Richard Cole, Yixin Tao:
(Near) Optimal Parallelism Bound for Fully Asynchronous Coordinate Descent with Linear Speedup. - Lantian Li, Zhiyuan Tang, Ying Shi, Dong Wang:
Phonetic-attention scoring for deep speaker features in speaker verification. - Lantian Li, Zhiyuan Tang, Ying Shi, Dong Wang:
Gaussian-Constrained training for speaker verification. - Jingwei Zhang, Tongliang Liu, Dacheng Tao:
An Optimal Transport View on Generalization. - Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen:
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search. - Eunwoo Song, Jin-Seob Kim, Kyungguen Byun, Hong-Goo Kang:
Speaker-adaptive neural vocoders for statistical parametric speech synthesis systems. - Nicola Perra, Luis E. C. Rocha:
Modelling Opinion Dynamics in the Age of Algorithmic Personalisation. - Giacomo Innocenti, Michele Basso:
Complex dynamics in a vehicle platoon with nonlinear drag and ACC controllers. - Kiya W. Govek, Venkata S. Yamajala, Pablo G. Cámara:
Spectral Simplicial Theory for Feature Selection and Applications to Genomics. - Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne, Simone Zorzan, Atilim Gunes Baydin, Adam D. Cobb, Daniel Angerhausen, Giada N. Arney, Shawn D. Domagal-Goldman:
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval. - Krystal Guo, Tony Huynh, Marco Macchia:
The biclique covering number of grids. - Xingkang He, Wenchao Xue, Xiaocheng Zhang, Haitao Fang:
Distributed Filtering for Nonlinear Multi-Agent Systems with Biased Observations. - Liu Chang, Yacine Ouzrout, Antoine Nongaillard, Abdelaziz Bouras:
Optimized Hidden Markov Model based on Constrained Particle Swarm Optimization. - Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan Honza Cernocký:
Analysis of Multilingual Sequence-to-Sequence speech recognition systems. - Aleksandr Cariow, Galina Cariowa:
Hardware-Efficient Structure of the Accelerating Module for Implementation of Convolutional Neural Network Basic Operation. - Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via Discrete Wavelet Transform. - Ziming Qiu, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice. - Hamdan Awan, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford:
Communication and Information Theory of Single Action Potential Signals in Plants. - Hossein Sartipizadeh, Abraham P. Vinod, Behçet Açikmese, Meeko Oishi:
Voronoi Partition-based Scenario Reduction for Fast Sampling-based Stochastic Reachability Computation of LTI Systems. - Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
Plug-In Stochastic Gradient Method. - Arnold Salas, Stefan Zohren, Stephen J. Roberts:
Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods. - Erika Mackin, Stacy Patterson:
Maximizing Diversity of Opinion in Social Networks. - Grammateia Kotsialou, Luke Riley:
Incentivising Participation in Liquid Democracy with Breadth First Delegation. - Peng-Bi Cui, Wei Wang, Shi-Min Cai, Tao Zhou, Ying-Cheng Lai:
Close and ordinary social contacts: how important are they in promoting large-scale contagion? - Tomi Kinnunen, Rosa González Hautamäki, Ville Vestman, Md. Sahidullah:
Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection. - Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini, Philippe L. Toint:
Deterministic and stochastic inexact regularization algorithms for nonconvex optimization with optimal complexity. - José Pablo Lucero Lorca, Guido Kanschat:
Multilevel Schwarz preconditioners for singularly perturbed symmetric reaction-diffusion systems. - David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert:
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Parallel Versions. - Lei Yu:
On Conditional Correlations. - Fabien Durand, Valérie Goyheneche:
Decidability, arithmetic subsequences and eigenvalues of morphic subshifts. - M. A. Di Muro, Lucas D. Valdez, Sergey V. Buldyrev, Harry Eugene Stanley, Lidia A. Braunstein:
Insights into Bootstrap Percolation: Its Equivalence with k-core Percolation and the Giant Component. - Alexander Büchel, Ulrich Gilleßen, Kurt-Ulrich Witt:
An output-sensitive Algorithm to partition a Sequence of Integers into Subsets with equal Sums. - Gunther Uhlmann, Yiran Wang:
Convolutional neural networks in phase space and inverse problems. - Yibo Yang, Paris Perdikaris:
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. - Bastian Seifert, Knut Hüper:
The discrete cosine transform on triangles. - Sandeep Kothinti, Keisuke Imoto, Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, Mounya Elhilali:
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection. - Larry Bull:
The Evolution of Gene Dominance through the Baldwin Effect. - Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo:
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms. - Vito M. Leli, Saeed Osat, Timur Tlyachev, Jacob D. Biamonte:
Deep Learning Super-Diffusion in Multiplex Networks. - Kehelwala Dewage Gayan Maduranga, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform. - Jingzhao Zhang, Hongyi Zhang, Suvrit Sra:
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate. - Hao-Chung Cheng, Gao Li, Min-Hsiu Hsieh:
Properties of Noncommutative Renyi and Augustin Information. - Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang, Yu Tsao, Hsin-Min Wang, Tai-Shih Chi:
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition. - Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee:
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. - Weijing Li:
A new resource measure with respect to resource destroying maps. - Haitao Liu, Randy C. Paffenroth, Jian Zou, Chong Zhou:
Anomaly Detection via Graphical Lasso. - (Withdrawn) Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders.
- Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov:
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. - Carlo Cenedese, Yu Kawano, Sergio Grammatico, Ming Cao:
Towards time-varying proximal dynamics in Multi-Agent Network Games. - Anthony Bonato, Shahin Kamali:
Approximation Algorithms for Graph Burning. - Richard Kurle, Stephan Günnemann, Patrick van der Smagt:
Multi-Source Neural Variational Inference. - Erwan Grelier, Anthony Nouy, Mathilde Chevreuil:
Learning with tree-based tensor formats. - Shiyang Hu, Lina Felsner, Andreas K. Maier, Veronika Ludwig, Gisela Anton, Christian Riess:
A 3-D Projection Model for X-ray Dark-field Imaging. - Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. - Jose M. Peña:
Unifying Gaussian LWF and AMP Chain Graphs to Model Interference. - Kun Wang, Lunbo Li, Cunlai Pu:
Robustness of link prediction under network attacks. - Vianney Perchet, Marc Quincampoix:
A differential game on Wasserstein space. Application to weak approachability with partial monitoring. - Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano, Keishiro Watanabe, Keisuke Ishibashi:
Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders. - Víctor Campos, Xavier Giró-i-Nieto, Jordi Torres:
Importance Weighted Evolution Strategies. - Firat Özdemir, Orçun Göksel:
Extending Pretrained Segmentation Networks with Additional Anatomical Structures. - Adrien Spagnol, Rodolphe Le Riche, Sébastien Da Veiga:
Global sensitivity analysis for optimization with variable selection. - Vadim E. Levit, Eugen Mandrescu:
On an Annihilation Number Conjecture. - Eunwoo Song, Kyungguen Byun, Hong-Goo Kang:
ExcitNet vocoder: A neural excitation model for parametric speech synthesis systems. - Enno Hermann, Herman Kamper, Sharon Goldwater:
Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages. - Hendrik Schawe, Alexander K. Hartmann:
Large-deviation properties of the largest biconnected component for random graphs. - Ashesh Chattopadhyay, Pedram Hassanzadeh, Saba Pasha:
A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns. - Ketan Mittal, Som Dutta, Paul F. Fischer:
Nonconforming Schwarz-Spectral Element Methods For Incompressible Flow. - Alexes Mes, Jed Stephens:
An Application of Rubi: Series Expansion of the Quark Mass Renormalization Group Equation. - Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, Nathan Killoran:
PennyLane: Automatic differentiation of hybrid quantum-classical computations. - Miaoyan Wang, Lexin Li:
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality. - Reza Rezaie, X. Rong Li:
Nonsingular Gaussian Conditionally Markov Sequences. - Yun Kuen Cheung, Richard Cole, Yixin Tao:
Parallel Stochastic Asynchronous Coordinate Descent: Tight Bounds on the Possible Parallelism. - Joseph Marino, Milan Cvitkovic, Yisong Yue:
A General Method for Amortizing Variational Filtering. - Jacob K. Goeree, Philippos Louis:
M Equilibrium: A dual theory of beliefs and choices in games. - Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. - Ryutaroh Matsumoto:
Classical Access Structures of Ramp Secret Sharing Based on Quantum Stabilizer Codes. - Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao:
Theoretical Analysis of Adversarial Learning: A Minimax Approach. - Xingwei Hu:
On Asymptotic Covariances of A Few Unrotated Factor Solutions. - Giona Casiraghi:
Analytical Formulation of the Block-Constrained Configuration Model. - Stefano Gherardini, Andrea Smirne, Matthias M. Müller, Filippo Caruso:
Advances in sequential measurement and control of open quantum systems. - Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa:
Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources. - Austin Conner, Fulvio Gesmundo, Joseph M. Landsberg, Emanuele Ventura, Yao Wang:
A geometric study of Strassen's asymptotic rank conjecture and its variants. - Tong Qin, Kailiang Wu, Dongbin Xiu:
Data Driven Governing Equations Approximation Using Deep Neural Networks. - Deovrat Kakde, Arin Chaudhuri, Diana Shaw:
A New SVDD-Based Multivariate Non-parametric Process Capability Index. - Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. - Reza Rezaie, X. Rong Li:
Gaussian Reciprocal Sequences from the Viewpoint of Conditionally Markov Sequences. - Xing Shi Cai, Cecilia Holmgren:
Cutting resilient networks - complete binary trees. - Christian P. Fries:
Stochastic Algorithmic Differentiation of (Expectations of) Discontinuous Functions (Indicator Functions). - Aniruddha Bhattacharya, K. V. Kadambari:
A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content. - Matthieu Aussal, Robin Gueguen:
Open-source platforms for fast room acoustic simulations in complex structures. - Momoko Hayamizu:
A structural characterization of tree-based phylogenetic networks. - Jonas Adler, Ozan Öktem:
Deep Bayesian Inversion. - Jared Tanner, Andrew Thompson, Simon Vary:
Matrix rigidity and the ill-posedness of Robust PCA and matrix completion. - Arash Mehrjou, Bernhard Schölkopf:
Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems. - Riccardo Aragona, Roberto Civino, Norberto Gavioli, Carlo Maria Scoppola:
Regular subgroups with large intersection. - Fredrik D. Johansson:
Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions. - Itamar Reis, Dalya Baron, Sahar Shahaf:
Probabilistic Random Forest: A machine learning algorithm for noisy datasets. - Alexandru Paler, Austin G. Fowler, Robert Wille:
Faster manipulation of large quantum circuits using wire label reference diagrams. - Mahdi S. Hosseini, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Jasper A. Z. Brawley-Hayes, Savvas Damaskinos:
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology. - Armin Soltan Zadi, Raichel Alex, Rong Zhang, Donald E. Watenpaugh, Khosrow Behbehani:
Arterial Blood Pressure Feature Estimation Using Photoplethysmography. - Chao Gao, Zongming Ma:
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing. - Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Hybrid Generative-Discriminative Models for Inverse Materials Design. - Ruidi Chen, Ioannis Ch. Paschalidis:
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN. - Dogancan Temel, Ghassan AlRegib:
ReSIFT: Reliability-Weighted SIFT-based Image Quality Assessment. - Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised learning with contrastive latent variable models. - Chien-Chih Wang, Kent Loong Tan, Chih-Jen Lin:
Newton Methods for Convolutional Neural Networks. - Mladen Pavicic:
It Does Not Follow. Response to "Yes They Can! ...". - (Withdrawn) Pure-Exploration for Infinite-Armed Bandits with General Arm Reservoirs.
- Devvrit Khatri, Natasha Komarov, Aaron Krim-Yee, Nithish Kumar, Ben Seamone, Virgélot Virgile, Anqi Xu:
Cops and robbers on oriented graphs. - Huicheng Liu:
Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network. - Ali Khodabakhsh, Orestis Papadigenopoulos, Jannik Matuschke, Jimmy Horn, Evdokia Nikolova, Emmanouil Pountourakis:
Electric Vehicle Valet. - Shunsuke Tsuzuki, Yu Nishiyama:
Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models. - Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar:
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. - Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar:
Graph Convolutional Neural Networks for Polymers Property Prediction. - Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement. - Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems. - Alexander Shen:
Axiomatic approach to the theory of algorithms and relativized computability. - Ferdinando Cicalese, Zsuzsanna Lipták, Massimiliano Rossi:
On Infinite Prefix Normal Words. - Jaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre, Thomas Merritt, Bartosz Putrycz, Roberto Barra-Chicote:
Robust universal neural vocoding. - Thomas Merritt, Bartosz Putrycz, Adam Nadolski, Tianjun Ye, Daniel Korzekwa, Wiktor Dolecki, Thomas Drugman, Viacheslav Klimkov, Alexis Moinet, Andrew Breen, Rafal Kuklinski, Nikko Strom, Roberto Barra-Chicote:
Comprehensive evaluation of statistical speech waveform synthesis. - Mikhail A. Aliev, Egor I. Ershov, Dmitry P. Nikolaev:
On the use of FHT, its modification for practical applications and the structure of Hough image. - Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling:
Asynchronous Stochastic Composition Optimization with Variance Reduction. - Ishwarya Ananthabhotla, David B. Ramsay, Joseph A. Paradiso:
HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty. - Maaike Zwart, Dan Marsden:
Don't Try This at Home: No-Go Theorems for Distributive Laws. - Manfred Scheucher, Hendrik Schrezenmaier, Raphael Steiner:
A Note On Universal Point Sets for Planar Graphs. - Siyu He, Yin Li, Yu Feng, Shirley Ho, Siamak Ravanbakhsh, Wei Chen, Barnabás Póczos:
Learning to Predict the Cosmological Structure Formation. - Armin Soltan Zadi, Raichel M. Alex, Rong Zhang, Donald E. Watenpaugh, Khosrow Behbehani:
Mathematical Modeling of Arterial Blood Pressure Using Photo-Plethysmography Signal in Breath-hold Maneuver. - Weiwei Li, Jan Hannig, Sayan Mukherjee:
Subspace Clustering through Sub-Clusters. - Qian Xu, Shuqi Xu:
Neural network state estimation for full quantum state tomography. - Prathapasinghe Dharmawansa, Kumara Kahatapitiya, Saman Atapattu, Chintha Tellambura:
Outage Analysis of 2×2 MIMO-MRC in Correlated Rician Fading. - Hendrik Richter:
Fixation properties of multiple cooperator configurations on regular graphs. - Daniele Bartoli, Matteo Bonini:
Minimal linear codes in odd characteristic. - Arin Chaudhuri, Deovrat Kakde, Carol Sadek, Wenhao Hu, Hansi Jiang, Seunghyun Kong, Yuewei Liao, Sergiy Peredriy, Haoyu Wang:
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description. - Ishwarya Ananthabhotla, Joseph A. Paradiso:
SoundSignaling: Realtime, Stylistic Modification of a Personal Music Corpus for Information Delivery. - Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev:
Learned Video Compression. - Dogancan Temel, Ghassan AlRegib:
BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment. - Doron L. Bergman:
Symmetry constrained machine learning. - Tianyu Zhang, Liwei Zhang, Philip R. O. Payne, Fuhai Li:
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models. - (Withdrawn) Minimum norm solutions do not always generalize well for over-parameterized problems.
- Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Multipath-enabled private audio with noise. - Maziar Raissi, Hessam Babaee, Peyman Givi:
Deep Learning of Turbulent Scalar Mixing. - Sreejith Kallummil, Sheetal Kalyani:
High SNR Consistent Compressive Sensing Without Signal and Noise Statistics. - Giuseppe Greco, Peter Jipsen, Krishna Manoorkar, Alessandra Palmigiano, Apostolos Tzimoulis:
Logics for Rough Concept Analysis. - Vidhi Lalchand, A. C. Faul:
A Greedy approximation scheme for Sparse Gaussian process regression. - Dorota Lipowska, Adam Lipowski:
Emergence of linguistic conventions in multi-agent reinforcement learning. - Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar:
A Statistical Approach to Assessing Neural Network Robustness. - Giacomo Vaccario, Luca Verginer, Frank Schweitzer:
Reproducing scientists' mobility: A data-driven model. - Mike Gartrell, Elvis Dohmatob:
Deep Determinantal Point Processes. - Francesco Fusco:
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale. - Un-Hyang Ho, Hye-Ok Kong:
Prediction of Signal Sequences in Abiotic Stress Inducible Genes from Main Crops by Association Rule Mining. - Khashayar Gatmiry, Seyed Abolfazl Motahari:
Information Theoretic Bounds on Optimal Worst-case Error in Binary Mixture Identification. - Dehia Ait-Ferhat, Zoltán Király, András Sebö, Gautier Stauffer:
How many matchings cover the nodes of a graph? - Klaus M. Frahm, Dima L. Shepelyansky:
Ising-PageRank model of opinion formation on social networks. - Dogancan Temel, Ghassan AlRegib:
PerSIM: Multi-resolution Image Quality Assessment in the Perceptually Uniform Color Domain. - Gwendoline de Bie, Gabriel Peyré, Marco Cuturi:
Stochastic Deep Networks. - Jun Liu, Kai Mei, Xiaochen Zhang, Xiaoying Zhang, Dongtang Ma, Jibo Wei:
High-precision timing and frequency synchronization method for MIMO-OFDM systems in double-selective channels. - Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio:
The PyTorch-Kaldi Speech Recognition Toolkit. - Christian Kümmerle, Claudio Mayrink Verdun:
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares. - Filippo Fabiani, Andrea Caiti:
Nash equilibrium seeking in potential games with double-integrator agents. - J. Olivares-Sánchez, J. Casanova, Enrique Solano, Lucas Lamata:
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer. - Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Jan Honza Cernocký, Lukás Burget:
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition. - Reza Rezaie, X. Rong Li:
Explicitly Sample-Equivalent Dynamic Models for Gaussian Markov, Reciprocal, and Conditionally Markov Sequences. - Jian Ding, Zongming Ma, Yihong Wu, Jiaming Xu:
Efficient random graph matching via degree profiles. - Paul Kotyczka, Laurent Lefèvre:
Discrete-time port-Hamiltonian systems: A definition based on symplectic integration. - Tamás Király, Yu Yokoi:
Equitable Partitions into Matchings and Coverings in Mixed Graphs. - Kevin Gilboy, Khaled Sayed, Niteesh Sundaram, Kara Bocan, Natasa Miskov-Zivanov:
A Faster DiSH: Hardware Implementation of a Discrete Cell Signaling Network Simulator. - Jing Lim, Joshua Wong, Minn Xuan Wong, Lee Han Eric Tan, Hai Leong Chieu, Davin Choo, Neng Kai Nigel Neo:
Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures. - Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Model change detection with application to machine learning. - Dogancan Temel, Ghassan AlRegib:
A Comparative Study of Computational Aesthetics. - Reza Rezaie, X. Rong Li:
Models and Representations of Gaussian Reciprocal and Conditionally Markov Sequences. - Mark Tygert, Jure Zbontar:
Simulating single-coil MRI from the responses of multiple coils. - Kahkashan Afrin, Parikshit Verma, Sanjay S. Srivatsa, Satish T. S. Bukkapatnam:
Simultaneous 12-Lead Electrocardiogram Synthesis using a Single-Lead ECG Signal: Application to Handheld ECG Devices. - Jianyi Zhang, Yang Zhao, Changyou Chen:
Variance Reduction in Stochastic Particle-Optimization Sampling. - Ziqian Luo, Hua Xu, Feiyang Chen:
Utterance-Based Audio Sentiment Analysis Learned by a Parallel Combination of CNN and LSTM. - Nora K. Speicher, Nico Pfeifer:
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes. - Zongxiang Yi, Dingyi Pei:
A Construction of Zero-Difference Functions. - Golnaz Badkobeh, Pascal Ochem:
Avoiding conjugacy classes on the 5-letter alphabet. - Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders. - Yashaswini Murthy, Ravi N. Banavar:
A Lagrangian Model to Predict Microscallop Motion in non Newtonian Fluids. - Farzad Eskandari, Soroush Pakniat:
Finite Mixture Model of Nonparametric Density Estimation using Sampling Importance Resampling for Persistence Landscape. - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Study of Multi-Step Knowledge-Aided Iterative Nested MUSIC for Direction Finding. - Andrei N. Soklakov:
Economics of disagreement - financial intuition for the Rényi divergence. - Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle:
Black-Box Autoregressive Density Estimation for State-Space Models. - Wenliang Li, Danica J. Sutherland, Heiko Strathmann, Arthur Gretton:
Learning deep kernels for exponential family densities. - Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma:
Strong mixed-integer programming formulations for trained neural networks. - Diego Cifuentes, Kristian Ranestad, Bernd Sturmfels, Madeleine Weinstein:
Voronoi Cells of Varieties. - Yi-An Ma, Yuansi Chen, Chi Jin, Nicolas Flammarion, Michael I. Jordan:
Sampling Can Be Faster Than Optimization. - Nathalie Aubrun, Sebastián Barbieri, Etienne Moutot:
The domino problem is undecidable on surface groups. - Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi:
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. - Dogancan Temel, Ghassan AlRegib:
Boosting in Image Quality Assessment. - Heinrich W. Löllmann, Christine Evers, Alexander Schmidt, Hendrik Barfuss, Patrick A. Naylor, Walter Kellermann:
Proceedings of the LOCATA Challenge Workshop - a satellite event of IWAENC 2018. - Yunfeng Zhang, Irina Gaynanova:
Joint association and classification analysis of multi-view data. - Manuel Aprile, Yuri Faenza:
Extended formulations from communication protocols in output-efficient time. - Soumitro Chakrabarty, Emanuël A. P. Habets:
Multi-scale aggregation of phase information for reducing computational cost of CNN based DOA estimation. - Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara:
Population-aware Hierarchical Bayesian Domain Adaptation. - Conor Durkan, George Papamakarios, Iain Murray:
Sequential Neural Methods for Likelihood-free Inference. - Tatiana Shpakova, Francis R. Bach, Anton Osokin:
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. - Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
Reconstruction of jointly sparse vectors via manifold optimization. - Tsubasa Kusano, Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa:
Designing nearly tight window for improving time-frequency masking. - Miao Yao, Munawwar M. Sohul, Vuk Marojevic, Jeffrey H. Reed:
Artificial Intelligence-Defined 5G Radio Access Networks. - Luke J. O'Connor, Alkes L. Price:
Distinguishing correlation from causation using genome-wide association studies. - Dogancan Temel, Ghassan AlRegib:
Effectiveness of 3VQM in Capturing Depth Inconsistencies. - Dogancan Temel, Ghassan AlRegib:
Coding of 3D Videos Based on Visual Discomfort. - Dogancan Temel, Ghassan AlRegib:
A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment. - Xu Chen, Saratendu Sethi:
Robust Active Learning for Electrocardiographic Signal Classification. - Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework. - Yang Zhao, Jianyi Zhang, Changyou Chen:
Self-Adversarially Learned Bayesian Sampling. - Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus, Sergio Escalera, Gholamreza Anbarjafari:
A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition. - Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. - David Barber, Mingtian Zhang, Raza Habib, Thomas Bird:
Spread Divergences. - Alexandru Paler:
On the Influence of Initial Qubit Placement During NISQ Circuit Compilation. - Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin:
Markov Chain Block Coordinate Descent. - Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan:
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes. - Oleg Sysoev, Krzysztof Bartoszek, Eva-Charlotte Ekstrom, Katarina Ekholm Selling:
PSICA: decision trees for probabilistic subgroup identification with categorical treatments. - Shinichi Tajima, Katsuyoshi Ohara, Akira Terui:
Fast Algorithms for Computing Eigenvectors of Matrices via Pseudo Annihilating Polynomials. - Zahra Baghali Khanian, Andreas J. Winter:
Distributed Compression of Correlated Classical-Quantum Sources or: The Price of Ignorance. - Corentin Briat, Mustafa Khammash:
Ergodicity analysis and antithetic integral control of a class of stochastic reaction networks with delays. - Sander Rhebergen, Garth N. Wells:
An embedded-hybridized discontinuous Galerkin finite element method for the Stokes equations. - Dogancan Temel, Ghassan AlRegib:
Image Quality Assessment and Color Difference. - Jun Liu, Kai Mei, Dongtang Ma, Jibo Wei:
Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels. - Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas C. Müller, Bernd Bischl:
Learning Multiple Defaults for Machine Learning Algorithms. - Aline Parreau, Annegret Katrin Wagler:
On three domination numbers in block graphs. - Elias Jarlebring, Max Bennedich, Giampaolo Mele, Emil Ringh, Parikshit Upadhyaya:
NEP-PACK: A Julia package for nonlinear eigenproblems - v0.2. - Jouni Järvinen, László Kovács, Sándor Radeleczki:
Defining rough sets using tolerances compatible with an equivalence. - Bianca-Cristina Cristescu, Zalán Borsos, John Lygeros, María Rodríguez Martínez, Maria Anna Rapsomaniki:
Inference of the three-dimensional chromatin structure and its temporal behavior. - Nathan Brown, Marco Fiscato, Marwin H. S. Segler, Alain C. Vaucher:
GuacaMol: Benchmarking Models for De Novo Molecular Design. - Qing Xu, Xiaohua Xuan:
Nonlinear Regression without i.i.d. Assumption. - Hamza Fawzi:
On polyhedral approximations of the positive semidefinite cone. - Hans E. Atlason, Áskell Löve, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen:
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder. - Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. - Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla:
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. - Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Renato De Mori:
Speech recognition with quaternion neural networks. - Mario Angelelli, Enrico Ciavolino:
Streaming Generalized Cross Entropy. - Catalina Cangea, Arturas Grauslys, Pietro Liò, Francesco Falciani:
Structure-Based Networks for Drug Validation. - Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar:
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. - Mirco Ravanelli, Yoshua Bengio:
Interpretable Convolutional Filters with SincNet. - Alberto Aleta, Yamir Moreno:
Collective social behavior in a crowd controlled game. - Ari Pakman, Liam Paninski:
Amortized Bayesian inference for clustering models. - Xiu Yang, David A. Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky:
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence. - Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Haithum Elhadi:
Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels. - Weihong Xu, Xiaohu You, Chuan Zhang, Yair Be'ery:
Polar Decoding on Sparse Graphs with Deep Learning. - Amandeep Singh Bhatia, Mandeep Kaur Saggi:
Simulation of Matrix Product State on a Quantum Computer. - Anton Belyy, Aleksei Sholokhov:
MEMOIR: Multi-class Extreme Classification with Inexact Margin. - Hemant Gehlot, Arif Mohaimin Sadri, Satish V. Ukkusuri:
Joint modeling of evacuation departure and travel times in hurricanes. - Saturnino Luz, Sofia de la Fuente, Pierre Albert:
A Method for Analysis of Patient Speech in Dialogue for Dementia Detection. - Qing Zhou, Songfeng Lu, Zhigang Zhang, Jie Sun:
Quantum Differential Cryptanalysis. - Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts:
Intersectionality: Multiple Group Fairness in Expectation Constraints. - Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik:
On-chip learning for domain wall synapse based Fully Connected Neural Network. - Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer:
Robust Super-Level Set Estimation using Gaussian Processes. - Nicolas Brosse, Alain Durmus, Eric Moulines:
The promises and pitfalls of Stochastic Gradient Langevin Dynamics. - Tze-Yang Tung, Deniz Gündüz:
SparseCast: Hybrid Digital-Analog Wireless Image Transmission Exploiting Frequency Domain Sparsity. - Makrand Sinha, Ronald de Wolf:
Exponential Separation between Quantum Communication and Logarithm of Approximate Rank. - Lam M. Nguyen, Katya Scheinberg, Martin Takác:
Inexact SARAH Algorithm for Stochastic Optimization. - Guy Bresler, Sung Min Park, Madalina Persu:
Sparse PCA from Sparse Linear Regression. - Jiahua Xu, Benjamin Livshits:
The Anatomy of a Cryptocurrency Pump-and-Dump Scheme. - Oliver Knill:
Cartan's Magic Formula for Simplicial Complexes. - David Yang Gao:
Canonical Duality Theory and Algorithm for Solving Bilevel Knapsack Problems with Applications. - Cynthia Rudin:
Please Stop Explaining Black Box Models for High Stakes Decisions. - Alex Bishop, Murray Elder:
Bounded Automata Groups are co-ET0L. - Jing-Fang Fan, Keren Cohen, Louis M. Shekhtman, Sibo Liu, Jun Meng, Yoram Louzoun, Shlomo Havlin:
A combined network and machine learning approaches for product market forecasting. - François-Xavier Briol, Chris J. Oates, Mark A. Girolami, Michael A. Osborne, Dino Sejdinovic:
Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?". - Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant:
Variational Autoencoders for New Physics Mining at the Large Hadron Collider. - Sonali Parbhoo, Mario Wieser, Volker Roth:
Estimating Causal Effects With Partial Covariates For Clinical Interpretability. - Rafig Agaev, Pavel Chebotarev:
Two Models of Latent Consensus in Multi-Agent Systems. - Liane Gabora, Cameron M. Smith:
Two Cognitive Transitions Underlying the Capacity for Cultural Evolution. - Krzysztof Domino:
Selected Methods for non-Gaussian Data Analysis. - Matthias Hotz, Wolfgang Utschick:
hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems. - Vladimir V. Kisil:
Lectures on Moebius-Lie Geometry and its Extension. - Anurag Anshu, Naresh Goud Boddu, Dave Touchette:
Quantum Log-Approximate-Rank Conjecture is also False. - Leighton Pate Barnes, Ayfer Özgür, Xiugang Wu:
An Isoperimetric Result on High-Dimensional Spheres. - Linjian Ma, Edgar Solomonik:
Accelerating Alternating Least Squares for Tensor Decomposition by Pairwise Perturbation. - Stefan Roth, Ali Kariminezhad, Aydin Sezgin:
Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN. - Milán Mosonyi, Tomohiro Ogawa:
Divergence radii and the strong converse exponent of classical-quantum channel coding with constant compositions. - Aida Ahmadzadegan, Eduardo Martín-Martínez, Achim Kempf:
Quantum Shockwave Communication. - Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik:
Adversarial Video Compression Guided by Soft Edge Detection. - Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell:
Sequence Alignment with Dirichlet Process Mixtures. - Chapman Siu:
Automatic Induction of Neural Network Decision Tree Algorithms. - Sen Na, Mladen Kolar:
High-dimensional Index Volatility Models via Stein's Identity. - Suwon Shon, Younggun Lee, Taesu Kim:
Large-scale Speaker Retrieval on Random Speaker Variability Subspace. - Iasson Karafyllis, Maria Kontorinaki, Miroslav Krstic:
Adaptive Control By Regulation-Triggered Batch Least-Squares Estimation of Non-Observable Parameters. - Serkan Sulun:
Deep Learned Frame Prediction for Video Compression. - Xiuming Liu, Dave Zachariah, Johan Wågberg:
Robust Semi-Supervised Learning when Labels are Missing at Random. - Marko Järvenpää, Mohamad R. Abdul Sater, Georgia K. Lagoudas, Paul C. Blainey, Loren G. Miller, James A. McKinnell, Susan S. Huang, Yonatan H. Grad, Pekka Marttinen:
A Bayesian model of acquisition and clearance of bacterial colonization. - Chris Whidden, Brian C. Claywell, Thayer Fisher, Andrew F. Magee, Mathieu Fourment, Frederick A. Matsen IV:
Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies. - Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko:
Rotting bandits are no harder than stochastic ones. - Alister G. Burr, Manijeh Bashar, Dick Maryopi:
Ultra-dense Radio Access Networks for Smart Cities: Cloud-RAN, Fog-RAN and "cell-free" Massive MIMO. - Wen-Chin Huang, Yi-Chiao Wu, Hsin-Te Hwang, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion. - Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer:
Robust Classification of Financial Risk. - Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin:
Generative Adversarial Network Training is a Continual Learning Problem. - Ramy Amer, Hesham ElSawy, Jacek Kibilda, M. Majid Butt, Nicola Marchetti:
Cooperative Transmission and Probabilistic Caching for Clustered D2D Networks. - Arkady Molev-Shteiman, Xiao-Feng Qi:
Maximal Entropy Reduction Algorithm for SAR ADC Clock Compression. - Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay:
Bayesian graph convolutional neural networks for semi-supervised classification. - Jimmy Devillet, Jean-Luc Marichal, Bruno Teheux:
Classifications of quasitrivial semigroups. - Md-Nafiz Hamid, Iddo Friedberg:
Reliable uncertainty estimate for antibiotic resistance classification with Stochastic Gradient Langevin Dynamics. - Kevin K. Chen, Anthony Collins Gamst, Alden K. Walker:
Knots in random neural networks. - Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner:
Partitioned Variational Inference: A unified framework encompassing federated and continual learning. - Yue Wu:
A Note on Random Sampling for Matrix Multiplication. - Ben Moews, J. Michael Herrmann, Gbenga Ibikunle:
Lagged correlation-based deep learning for directional trend change prediction in financial time series. - Nan Du, Zhikang Wang, Hanshen Xiao:
Statistical Robust Chinese Remainder Theorem for Multiple Numbers: Wrapped Gaussian Mixture Model. - Ryan D. Turner, Jane Hung, Yunus Saatci, Jason Yosinski:
Metropolis-Hastings Generative Adversarial Networks. - Xi Chen, Weidong Liu, Yichen Zhang:
First-order Newton-type Estimator for Distributed Estimation and Inference. - Emilie Kaufmann, Wouter M. Koolen:
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals. - Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort:
Beyond Pham's algorithm for joint diagonalization. - Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä:
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. - Shu Kong, Charless C. Fowlkes:
Image Reconstruction with Predictive Filter Flow. - Ishay Haviv:
Topological Bounds on the Dimension of Orthogonal Representations of Graphs. - Li Chai, Jun Du, Chin-Hui Lee:
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR. - Najib Alia, Volker John, Seppo Ollila:
Re-visiting the single-phase flow model for liquid steel ladle stirred by gas. - Christoph Kawan:
On the relation between topological entropy and restoration entropy. - Eric Benhamou:
Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets. - Mark Whitmeyer:
A Game of Martingales. - Luke R. Harries, Suyi Zhang, Geoffroy Dubourg-Felonneau, James H. R. Farmery, Jonathan Sinai, Belle Taylor, Nirmesh Patel, John W. Cassidy, John Shawe-Taylor, Harry W. Clifford:
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection. - Nathan Corwin, Gili Golan, Susan M. Hermiller, Ashley Johnson, Zoran Sunic:
Autostackability of Thompson's group F. - Daniel A. Cruz, Margherita Maria Ferrari, Natasa Jonoska, Lukas Nabergall, Masahico Saito:
Transformations on Double Occurrence Words Motivated by DNA Rearrangement. - François Grondin, James R. Glass:
SVD-PHAT: A Fast Sound Source Localization Method. - François Grondin, James R. Glass:
A Study of the Complexity and Accuracy of Direction of Arrival Estimation Methods Based on GCC-PHAT for a Pair of Close Microphones. - Miriam Shiffman, William T. Stephenson, Geoffrey Schiebinger, Jonathan H. Huggins, Trevor Campbell, Aviv Regev, Tamara Broderick:
Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data. - Andrea Gabrielli, Rossana Mastrandrea, Guido Caldarelli, Giulio Cimini:
The Grand Canonical ensemble of weighted networks. - Tom Kelly, Luke Postle:
Fractional coloring with local demands. - Saeid Safaei, Vahid Safaei, Solmazi Safaei, Zerotti Woods, Hamid R. Arabnia, Juan B. Gutierrez:
The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation. - Pavel V. Kuptsov, Anna V. Kuptsova:
Estimating of the inertial manifold dimension for a chaotic attractor of complex Ginzburg-Landau equation using a neural network. - Gorjan Alagic, Tommaso Gagliardoni, Christian Majenz:
Can you sign a quantum state? - Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura C. Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel:
RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. - Marina Meila, Samson J. Koelle, Hanyu Zhang:
A regression approach for explaining manifold embedding coordinates. - Pai Liu, Jingwei Gan, Rajan K. Chakrabarty:
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System. - Min-Jae Hwang, Frank K. Soong, Feng-Long Xie, Xi Wang, Hong-Goo Kang:
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis. - Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu:
Distributed Inference for Linear Support Vector Machine. - Monireh Houshmand, Mahboobeh Houshmand, Si-Hui Tan, Joseph F. Fitzsimons:
Composable secure multi-client delegated quantum computation. - Zhong Huang, Xueliang Li:
Hardness results for rainbow disconnection of graphs. - Dongruo Zhou, Pan Xu, Quanquan Gu:
Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method. - Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen:
Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. - David Saltiel, Eric Benhamou:
Feature selection with optimal coordinate ascent (OCA). - Jason Lee, Inkyu Park, Sangnam Park:
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging. - Fernando Fernandes Neto, Alemayehu Admasu Solomon, Rodrigo de Losso, Claudio Garcia, Pedro Delano Cavalcanti:
Deep Haar Scattering Networks in Pattern Recognition: A promising approach. - Lia Ahrens, Julian Ahrens, Hans D. Schotten:
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics. - Chunlin Gong, Xu Li, Hua Su, Jinlei Guo, Liangxian Gu:
Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction. - Peyman Yazdanian, Vahid Pourahmadi:
DeepPos: Deep Supervised Autoencoder Network for CSI Based Indoor Localization. - Di Wu, Enlu Zhou:
Analyzing and provably improving fixed budget ranking and selection algorithms. - Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network. - Jiangyi Liu, Chunping Wang, Wei Wang:
Particle Probability Hypothesis Density Filter based on Pairwise Markov Chains. - Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J. Roberts, Katherine J. Willis, Steven Reece:
BCCNet: Bayesian classifier combination neural network. - Li Wan, Prashant Sridhar, Yang Yu, Quan Wang, Ignacio López-Moreno:
Tuplemax Loss for Language Identification. - Adolfo J. Quiroz, Simón Ramírez-Amaya, Alvaro Riascos:
Regression by clustering using Metropolis-Hastings. - Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson:
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis. - Artur Bekasov, Iain Murray:
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting. - Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Robust Bayesian Cluster Enumeration. - Célia Borlido, Mai Gehrke:
A note on powers of Boolean spaces with internal semigroups. - Jia Chen, Gang Wang, Georgios B. Giannakis:
Graph Multiview Canonical Correlation Analysis. - Xi-Lin Li:
Learning with Labels of Existing and Nonexisting. - Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park:
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. - Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. - Lam M. Nguyen, Phuong Ha Nguyen, Peter Richtárik, Katya Scheinberg, Martin Takác, Marten van Dijk:
New Convergence Aspects of Stochastic Gradient Algorithms. - Jiaqi Jiang, David Sell, Stephan Hoyer, Jason Hickey, Jianji Yang, Jonathan A. Fan:
Data-driven metasurface discovery. - Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Uncertainty propagation in neural networks for sparse coding. - Dömötör Pálvölgyi, Gábor Tardos:
Unlabeled Compression Schemes Exceeding the VC-dimension. - Alfonso Landeros, Timothy Stutz, Kevin L. Keys, Alexander V. Alekseyenko, Janet S. Sinsheimer, Kenneth Lange, Mary E. Sehl:
BioSimulator.jl: Stochastic simulation in Julia. - Jean Serra, Jesús Angulo, Bangalore Ravi Kiran:
Regression and Classification by Zonal Kriging. - Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang:
A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. - Yao Cui, Zhehan Yi, Jiajun Duan, Di Shi, Zhiwei Wang:
A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation. - Zlatko Drmac, Igor Mezic, Ryan Mohr:
On least squares problems with certain Vandermonde-Khatri-Rao structure with applications to DMD. - Wenjing Wu, David Cameron, Qing Di:
Using ATLAS@Home to exploit extra CPU from busy grid sites. - Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda:
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting. - Tomasz M. Rutkowski, Qibin Zhao, Masato S. Abe, Mihoko Otake:
AI Neurotechnology for Aging Societies - Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods. - Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. - Debarghya Ghoshdastidar, Ulrike von Luxburg:
Practical methods for graph two-sample testing. - Yuxin Chen, Chen Cheng, Jianqing Fan:
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. - Mou Wu, Naixue Xiong, Liansheng Tan:
Convergence Analysis of a Cooperative Diffusion Gauss-Newton Strategy. - Sarah Jane Hamilton, Asko Hänninen, Andreas Hauptmann, Ville Kolehmainen:
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT). - Apostolos N. Burnetas, Odysseas Kanavetas, Michael N. Katehakis:
Asymptotically Optimal Multi-Armed Bandit Activation Policies under Side Constraints. - Mehdi Shafiei, Aaron Liu, Gerard Ledwich, Geoffrey Walker, Gian-Marco Morosini, Jack Terry:
Solar Enablement Initiative in Australia: Report on Efficiently Identifying Critical Cases for Evaluating the Voltage Impact of Large PV Investment. - Arthur Pesah, Antoine Wehenkel, Gilles Louppe:
Recurrent machines for likelihood-free inference. - Daniela Sacchetto, Lia Morra, Silvano Agliozzo, Daniela Bernardi, Tomas Björklund, Beniamino Brancato, Patrizia Bravetti, Luca A. Carbonaro, Loredana Correale, Carmen Fantò, Elisabetta Favettini, Laura Martincich, Luisella Milanesio, Sara Mombelloni, Francesco Monetti, Doralba Morrone, Marco Pellegrini, Barbara Pesce, Antonella Petrillo, Gianni Saguatti, Carmen Stevanin, Rubina M. Trimboli, Paola Tuttobene, Marvi Valentini, Vincenzo Marra, Alfonso Frigerio, Alberto Bert, Francesco Sardanelli:
Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset. - Arman Sharifi Kolarijani, Sander Bregman, Peyman Mohajerin Esfahani, Tamás Keviczky:
A Decentralized Event-Based Approach for Robust Model Predictive Control. - Harsh Parikh, Cynthia Rudin, Alexander Volfovsky:
MALTS: Matching After Learning to Stretch.
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