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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 - (Withdrawn) Deep Net Features for Complex Emotion Recognition.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.