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ORCIDCoRR, March 2020
- Utz Nisslmueller, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker:
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks. - El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. - Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Policy-Aware Model Learning for Policy Gradient Methods. - Martín Ceresa, Felipe Gorostiaga, César Sánchez:
Declarative Stream Runtime Verification (hLola). - Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. - Pamela Bilo Thomas, Rachel Krohn, Tim Weninger:
Library Adoption Dynamics in Software Teams. - Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
Dynamic Skyline Queries on Encrypted Data Using Result Materialization. - Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes. - Stefanie Scherzinger, Sebastian Sidortschuck:
An Empirical Study on the Design and Evolution of NoSQL Database Schemas. - Thomas Magelinski, Mihovil Bartulovic, Kathleen M. Carley:
Modularity-Deltas: a Semi-Global Centrality Measure for Complex Networks. - Hamid Gharavi, Bin Hu:
Deterministic Intra-Vehicle Communications: Timing and Synchronization. - Gustavo Assunção
, Nuno Gonçalves, Paulo Menezes:
Bio-Inspired Modality Fusion for Active Speaker Detection. - Marijan Palmisano, Martin Steinberger, Martin Horn:
Finite-horizon Linear Quadratic Control for Networked Control Systems with non-distributed plants. - Jacob A. George, Anna Neibling, Michael D. Paskett, Gregory A. Clark:
Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning. - Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort:
Learned Threshold Pruning. - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. - Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. - Mohit Daga:
Improved Algorithm for Min-Cuts in Distributed Networks. - Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. - Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis, Panagiota Fatourou, Angelos Bilas:
VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraBERT: Transformer-based Model for Arabic Language Understanding. - Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. - John H. Kastner, Hong Wei, Hanan Samet:
Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand. - Dominik Danko, Suat Mercan, Mumin Cebe, Kemal Akkaya:
Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain. - Grace Dinh, James Demmel:
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. - Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. - Duc Phan Minh Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov:
Determination of Latent Dimensionality in International Trade Flow. - Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Luting Yang, Bingqian Lu, Shaolei Ren:
A Note on Latency Variability of Deep Neural Networks for Mobile Inference. - Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal:
NLOptControl: A modeling language for solving optimal control problems. - (Withdrawn) A new construction of Algebraic Geometry code using Trace function.
- Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh:
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. - John Demme:
A Compiler Infrastructure for FPGA and ASIC Development. - Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. - Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated Regression Unit Test Generation for Program Merges. - Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang:
Decentralized Multi-player Multi-armed Bandits with No Collision Information. - Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. - Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang:
Entity Profiling in Knowledge Graphs. - Daliang Xu, Dongwei Chen, Chun Yang, Kang Sun, Xu Cheng, Dong Tong:
DangKiller: Eliminating Dangling Pointers Efficiently via Implicit Identifier. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. - Yu-Chen Sung, Sagar V. Patil, Michael G. Safonov:
Robustness of Uncertain Switching Nonlinear Feedback Systems against Large Time-Variation. - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. - Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Meng Tian, Liang Pan, Marcelo H. Ang Jr., Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. - Dylan J. Foster, Max Simchowitz:
Logarithmic Regret for Adversarial Online Control. - Ruqi Zhang, A. Feder Cooper, Christopher De Sa:
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. - Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. - Xiaopeng Mo, Jie Xu:
Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design. - Chaehan So:
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI. - Pankaj K. Agarwal, Hsien-Chih Chang, Subhash Suri, Allen Xiao, Jie Xue:
Dynamic geometric set cover and hitting set. - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual Policy Reuse using Deep Mixture Models. - Congqi Cao, Yanning Zhang:
Learning to Compare Relation: Semantic Alignment for Few-Shot Learning. - Hanyu Li, Yuanyang Zhu:
Randomized block Krylov space methods for trace and log-determinant estimators. - Xing Fan, Hao Luo, Chi Zhang, Wei Jiang:
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification. - Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. - Sebastiano Boscarino, Seung-Yeon Cho, Giovanni Russo, Seok-Bae Yun:
Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules. - Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. - Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. - Yingshi Chen:
Deep differentiable forest with sparse attention for the tabular data. - Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner:
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms. - Padraig Corcoran:
An End-to-End Graph Convolutional Kernel Support Vector Machine. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. - Raza Rahi, Sumant Pushp, Arif Khan, Smriti Kumar Sinha:
A Finite State Transducer Based Morphological Analyzer of Maithili Language. - Miel Sharf:
On the Sample Complexity of Data-Driven Inference of the L2-gain. - Cao Vien Phung, Anna Engelmann, Thomas Kuerner, Admela Jukan:
Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels. - Yizhi Zhao, Hongmei Chi:
Secure Polar Coding for Adversarial Wiretap Channel. - David Kay, Vanessa Styles:
Preconditioning nonlocal multi-phase flow. - Abanoub M. Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis:
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach. - Cao Vien Phung, Jasenka Dizdarevic, Admela Jukan:
An Experimental Study of Network Coded REST HTTP in Dynamic IoT Systems. - Mohammed A. Teeti:
Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping. - Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu:
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. - Pengcheng Zhang, Jianan Yu, Shunhui Ji:
ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts. - Jens Braband, Hendrik Schäbe:
On Safety Assessment of Artificial Intelligence. - Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes. - Eduardo Fernández, Kai-ke Yang, Stijn Koppen, Pablo Alarcón, Simon Bauduin, Pierre Duysinx:
Imposing minimum and maximum member size, minimum cavity size, and minimum separation distance between solid members in topology optimization. - Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang:
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. - Ajaz Ahmad Bhat, Vishwanathan Mohan:
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment. - Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition with Structural Cues. - Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs. - Gus Henry Smith, Zachary Tatlock, Luis Ceze:
Enumerating Hardware-Software Splits with Program Rewriting. - Paul Irofti, Andra Baltoiu:
Unsupervised Dictionary Learning for Anomaly Detection. - Suat Mercan, Enes Erdin, Kemal Akkaya:
Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications. - Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan:
Adaptive Federated Optimization. - Massimo Bartoletti, Maurizio Murgia, Roberto Zunino:
Renegotiation and recursion in Bitcoin contracts. - Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. - Woojay Jeon, Leo Liu, Henry Mason:
Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks. - Chaoyue Liu, Libin Zhu, Mikhail Belkin:
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning. - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. - Marc C. Canellas, Rachel A. Haga:
Unsafe At Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation. - Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. - Shrinu Kushagra:
Three-dimensional matching is NP-Hard. - Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang:
Robust Robotic Pouring using Audition and Haptics. - Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. - Iztok Fister Jr., Iztok Fister:
Information cartography in association rule mining. - Nicolae-Catalin Ristea, Liviu-Cristian Dutu, Anamaria Radoi:
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks. - Aikaterini Aretaki, Efthymios N. Karatzas:
Random geometries and Quasi Monte Carlo methods for optimal control PDE problems based on fictitious domain FEMS and cut elements. - Wei-Hung Weng, Yu-An Chung, Schrasing Tong:
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. - Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li:
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. - Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. - Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. - Steve Macenski, Francisco Martín, Ruffin White, Jonatan Ginés Clavero:
The Marathon 2: A Navigation System. - Daniel R. Freer, Guang-Zhong Yang:
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control. - Masashi Okada, Norio Kosaka, Tadahiro Taniguchi:
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Bahman Kalantari:
A Globally Convergent Newton Method for Polynomials. - Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang:
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning. - Chao Xu, Xijun Wang, Howard H. Yang, Hongguang Sun, Tony Q. S. Quek:
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks. - Wenrui Lin, Xijun Wang, Chao Xu, Xinghua Sun, Xiang Chen:
Average Age of Changed Information in the Internet of Things. - Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian:
Vision-based Robot Manipulation Learning via Human Demonstrations. - William E. Gerhard III, Pratap Tokekar:
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. - Shizhe Chen, Qin Jin, Peng Wang, Qi Wu:
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs. - Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. - Mengjie Yi, Xijun Wang, Juan Liu, Yan Zhang, Bo Bai:
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks. - Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu:
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning. - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. - Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Kumar Garg, Md Anwarul Kaium Patwary, Erfan Aghasian:
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review. - Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only. - Hugo Tremblay, Fábio Petrillo:
The cross cyclomatic complexity: a bi-dimensional measure for program complexity on graphs. - Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang:
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task. - Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu:
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension. - Monther Aldwairi, Yahya Flaifel, Khaldoon Mhaidat:
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection. - Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang:
FMT: Fusing Multi-task Convolutional Neural Network for Person Search. - Haokun Li, Bican Xia:
Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection. - Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le:
PF-Net: Point Fractal Network for 3D Point Cloud Completion. - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement. - Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan:
Harmonics Based Representation in Clarinet Tone Quality Evaluation. - Muhammad Asim, Muaaz Zakria:
Advanced kNN: A Mature Machine Learning Series. - K. R. Prajwal, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Face-to-Face Translation. - Hong-lin Liao, Tao Tang, Tao Zhou:
On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation. - Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom with Deep Reinforcement Learning. - Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad:
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos. - Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. - Kamran Alipour, Jürgen P. Schulze, Yi Yao, Avi Ziskind, Giedrius Burachas:
A Study on Multimodal and Interactive Explanations for Visual Question Answering. - Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Basar:
Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks. - Xiaolin Song, Yuyang Zhao, Jingyu Yang, Cuiling Lan, Wenjun Zeng, Jiahao Li:
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation. - Chengjun Li, Yang Li:
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization. - Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. - Franck Assous, Yevgeni Furman:
A hierarchy of reduced models to approximate Vlasov-Maxwell equations for slow time variations. - Arthur-Jozsef Molnar, Simona Motogna:
Longitudinal Evaluation of Open-Source Software Maintainability. - Fleurianne Bertrand, Daniele Boffi:
Least-squares for linear elasticity eigenvalue problem. - Jonathan P. Keating, Ahmet Abdullah Keles:
Maximum Absolute Determinants of Upper Hessenberg Bohemian Matrices. - Yijun Yuan, Dorit Borrmann, Andreas Nüchter, Sören Schwertfeger:
Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence. - Vahid Garousi, Ehsan Abbasi, Bedir Tekinerdogan:
Experience in engineering of scientific software: The case of an optimization software for oil pipelines. - Hamza Ali Imran, Saad Wazir, Ahmed Jamal Ikram, Ataul Aziz Ikram, Hanif Ullah, Maryam Ehsan:
HPC as a Service: A naive model. - Benjamin Ward-Cherrier, Nicholas Pestell, Nathan F. Lepora:
NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition. - Reut Levi, Moti Medina:
Distributed Testing of Graph Isomorphism in the CONGEST model. - Yuri S. Sarkisov, Min Jun Kim, Andre Coelho, Dzmitry Tsetserukou, Christian Ott, Konstantin Kondak:
Optimal Oscillation Damping Control of cable-Suspended Aerial Manipulator with a Single IMU Sensor. - Cornelis A. Middelburg:
Process algebra, process scheduling, and mutual exclusion. - Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui:
Scalable Learning Paradigms for Data-Driven Wireless Communication. - Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet:
GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling. - (Withdrawn) 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data.
- Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi:
State-Aware Tracker for Real-Time Video Object Segmentation. - Tingting Chen, Yiming Ma, Xiande Zhang:
Optimal Constant-Weight Codes under l1-Metric. - Alexander Jung, Pedro H. J. Nardelli:
An Information-Theoretic Approach to Personalized Explainable Machine Learning. - Pongsaphol Pongsawakul:
An Algorithm for Consensus Trees. - Barbara Kaltenbacher, William Rundell:
The Inverse Problem of Reconstructing Reaction-Diffusion Systems. - Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling. - Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu:
Novelty-Prepared Few-Shot Classification. - Seungmo Kim, Tsigigenet Dessalgn:
Mitigation of Civilian-to-Military Interference in DSRC for Urban Operations. - Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. - Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. - Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang:
Deep Attention Aware Feature Learning for Person Re-Identification. - Dan Halperin, Sariel Har-Peled, Kurt Mehlhorn, Eunjin Oh, Micha Sharir:
The Maximum-Level Vertex in an Arrangement of Lines. - Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang:
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection. - Uday Bondhugula:
High Performance Code Generation in MLIR: An Early Case Study with GEMM. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. - Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang:
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. - Marek Kwiek, Wojciech Roszka:
Gender Disparities in International Research Collaboration: A Large-scale Bibliometric Study of 25, 000 University Professors. - Ayush Bahuguna, Ashutosh Bhatia, Kamlesh Tiwari, Deepak Vishwakarma:
User profiling using smartphone network traffic analysis. - Jeevan Manavalan, Prabhakar Ray, Matthew Howard:
Exploiting Ergonomic Priors in Human-to-Robot Task Transfer. - Yiding Feng, Jason D. Hartline, Yingkai Li:
Simple Mechanisms for Non-linear Agents. - Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung:
Soft-Root-Sign Activation Function. - George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. - Giordano Da Lozzo, Anthony D'Angelo, Fabrizio Frati:
On the Area Requirements of Planar Greedy Drawings of Triconnected Planar Graphs. - Kshitij Bakliwal, Sai Ravela:
The Sloop System for Individual Animal Identification with Deep Learning. - Mark Bun, Roi Livni, Shay Moran:
An Equivalence Between Private Classification and Online Prediction. - Farzad Aalipour, Tuhin Das:
Proportional Power Sharing Control of Distributed Generators in Microgirds. - Franck Assous, Moshe Lin:
Time Reversal for elastic scatterer location from Acoustic Recording. - Shravan Narayan, Craig Disselkoen, Tal Garfinkel, Nathan Froyd, Eric Rahm, Sorin Lerner, Hovav Shacham, Deian Stefan:
Retrofitting Fine Grain Isolation in the Firefox Renderer (Extended Version). - Frederik Hasecke, Lukas Hahn, Anton Kummert:
Fast Lidar Clustering by Density and Connectivity. - Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Lobster-inspired Robotic Glove for Hand Rehabilitation. - Tommaso Gagliardoni, Juliane Krämer, Patrick Struck:
Quantum Indistinguishability for Public Key Encryption. - David Daly, William Brown, Henrik Ingo, Jim O'Leary, David Bradford:
Change Point Detection in Software Performance Testing. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Reconfigurable Hybrid Actuator with Rigid and Soft Components. - Maike Lorena Stern, Hans Lindberg, Klaus Meyer-Wegener:
Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images. - Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Chaoyang Song:
A Lobster-inspired Hybrid Actuator With Rigid and Soft Components. - Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. - Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo:
Federating Recommendations Using Differentially Private Prototypes. - Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. - Haris Aziz, Nisarg Shah:
Participatory Budgeting: Models and Approaches. - Dongrui Wu:
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models. - Henrique Ferrolho, Wolfgang Merkt, Vladimir Ivan, Wouter Wolfslag, Sethu Vijayakumar:
Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections. - Laia Amorós, Syed Mahbub Hafiz, Keewoo Lee, M. Caner Tol:
Gimme That Model!: A Trusted ML Model Trading Protocol. - Hua Wei, Zhenhui Li:
Learning to Simulate Human Movement. - S. Cliff Liu, Robert E. Tarjan, Peilin Zhong:
Connected Components on a PRAM in Log Diameter Time. - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences using a Learned Feature Descriptor. - Chenghao Deng, Jing Yang, Changyong Pan:
Timely Synchronization with Sporadic Status Changes. - Mahak Goindani, Jennifer Neville:
Cluster-Based Social Reinforcement Learning. - Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada:
Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. - Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Hesham Mostafa, Marcel Nassar:
Permutohedral-GCN: Graph Convolutional Networks with Global Attention. - Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia:
Matching Neuromorphic Events and Color Images via Adversarial Learning. - Jin Liu, Shunping Ji:
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset. - Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon:
Permutation Invariant Graph Generation via Score-Based Generative Modeling. - Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. - Hiroki Kawai, Jiawei Chen, Prakash Ishwar, Janusz Konrad:
VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images. - Gang Bao, Yiwen Lin:
Inverse scattering by a random periodic structure. - Noptanit Chotisarn, Leonel Merino, Xu Zheng, Supaporn Lonapalawong, Tianye Zhang, Mingliang Xu, Wei Chen:
A Systematic Literature Review of Modern Software Visualization. - Miika Hannula, Juha Kontinen, Jan Van den Bussche, Jonni Virtema:
Descriptive complexity of real computation and probabilistic independence logic. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. - Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan:
A review of machine learning applications in wildfire science and management. - Beixiong Zheng, Changsheng You, Rui Zhang:
Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design. - Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang:
Global Context-Aware Progressive Aggregation Network for Salient Object Detection. - Mucong Ding, Constantinos Daskalakis, Soheil Feizi:
Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs. - Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. - Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk:
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. - Xusheng Luo, Yan Zhang, Michael M. Zavlanos:
Socially-Aware Robot Planning via Bandit Human Feedback. - Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. - Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk:
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. - Marvin Chancán, Michael Milford:
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation. - Bin Fu:
Hardness of Sparse Sets and Minimal Circuit Size Problem. - Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. - Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu:
Style Example-Guided Text Generation using Generative Adversarial Transformers. - Vladislav Kibalov, Oleg Shipitko:
Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle. - Minghan Chen, Yilong Sun, Xueqing Cai, Boyi Liu, Tenglong Ren:
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm. - Lumin Yang, Jiajie Zhuang, Hongbo Fu, Kun Zhou, Youyi Zheng:
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks. - Xubo Wang, Lu Qin, Lijun Chang, Ying Zhang, Dong Wen, Xuemin Lin:
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System. - Rupam Acharyya, Shouman Das, Ankani Chattoraj, Oishani Sengupta, Md Iftekar Tanveer:
Detection and Mitigation of Bias in Ted Talk Ratings. - David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol, Aaron C. Courville:
Out-of-Distribution Generalization via Risk Extrapolation (REx). - Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase:
What Timing for an Automated Vehicle to Communicate Its Driving Intentions to Pedestrians for Improving Their Perception of Safety? - Eshagh Kargar, Ville Kyrki:
Efficient Latent Representations using Multiple Tasks for Autonomous Driving. - Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. - MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee:
Relational Deep Feature Learning for Heterogeneous Face Recognition. - Hao Chen, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
Planning to Build Soma Blocks Using a Dual-arm Robot. - Jianglei Han, Jing Li, Aixin Sun:
UFTR: A Unified Framework for Ticket Routing. - David Tolpin, Yuan Zhou, Hongseok Yang:
Stochastically Differentiable Probabilistic Programs. - Puneet Kohli, Saravana Gunaseelan, Jason Orozco, Yiwen Hua, Edward Li, Nicolas Dahlquist:
GPU-Accelerated Mobile Multi-view Style Transfer. - Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan:
Unbiased Mean Teacher for Cross Domain Object Detection. - Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta:
Using Image Captions and Multitask Learning for Recommending Query Reformulations. - Sascha Wirges, Ye Yang, Sven Richter, Haohao Hu, Christoph Stiller:
Learned Enrichment of Top-View Grid Maps Improves Object Detection. - Sizhang Dai, Weibing Huang:
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation. - Abolfazl Lavaei, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani:
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning. - Osama M. Bushnaq, Mustafa A. Kishk, Abdulkadir Çelik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Cellular Traffic Offloading Through Tethered-UAV Deployment and User Association. - Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim:
Knowledge Graphs on the Web - an Overview. - Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans:
Batch Stationary Distribution Estimation. - Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation. - Adrian-Stefan Ungureanu, Saqib Salahuddin, Peter M. Corcoran:
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review. - Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. - Rafael Hirschburger, Anke Weidlich:
Profitability of Photovoltaic and Battery Systems on Municipal Buildings. - Dat Quoc Nguyen, Anh Tuan Nguyen:
PhoBERT: Pre-trained language models for Vietnamese. - Carlo Guarnieri Calò Carducci, Gianluca Lipari, Nicola Giaquinto, Ferdinanda Ponci, Antonello Monti:
Error Model in Single Board Computer based Phasor Measurement Units. - David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. - Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. - Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti:
Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use. - Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. - Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang:
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry. - Ringo Baumann:
On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics. - Michael Hammann, Maximilian Kraus, Sina Shafaei, Alois C. Knoll:
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier. - Andrea Simonetto:
Smooth Strongly Convex Regression. - Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Finding Interesting Frames in Deep Video Analytics: a Top-K Approach. - Pedro Fortón, José Ma Saldaña, Julián Fernández-Navajas, José Ruíz-Mas:
Interfaz Gráfica para la Gestión SDWN de un Entorno WLAN. - Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems. - Rakesh Kumar, Reena Koundal, K. Srivastava:
New wavelet method based on Shifted Lucas polynomials: A tau approach. - Alexandros Tanzanakis, John Lygeros:
Data-Driven Control of Unknown Systems: A Linear Programming Approach. - Michal Bednarek, Piotr Kicki, Jakub Bednarek, Krzysztof Walas:
Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 2. - Suilen H. Alvarado:
Design of Mutation Operators for Testing Geographic Information Systems. - Leonardo Fernández-Jambrina:
Characterisation of rational and NURBS developable surfaces in Computer Aided Design. - Muhammad Yaseen, Muneeb Aadil, Maria Sargsyan:
Preventing Clean Label Poisoning using Gaussian Mixture Loss. - Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. - Alessandro Betti, Benedetto Michelozzi, Andrea Bracci, Andrea Masini:
Real-Time target detection in maritime scenarios based on YOLOv3 model. - Shoeb Siddiqui, Ganesh Vanahalli, Sujit Gujar:
BitcoinF: Achieving Fairness for Bitcoin in Transaction-Fee-Only Model. - Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. - Jialin Liu, Fei Chao, Chih-Min Lin:
Task Augmentation by Rotating for Meta-Learning. - Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro, Kamer Vishi:
Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. - Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. - Jay Kumar:
Fake Review Detection Using Behavioral and Contextual Features. - Ammarah Farooq, Muhammad Awais, Fei Yan, Josef Kittler, Ali Akbari, Syed Safwan Khalid:
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions. - Indigo J. D. Orton:
Vision based body gesture meta features for Affective Computing. - Anirudh Itagi, Ritam Sil, Saurav Mohapatra, Subham Rout, Bharath K. P, Karthik R, Rajesh Kumar Muthu:
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods. - Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. - Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu:
Towards information-rich, logical text generation with knowledge-enhanced neural models. - Hongyu Wang, Guangcun Shan:
Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network. - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. - Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. - Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi:
Quantized Neural Network Inference with Precision Batching. - Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi:
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. - Bilal Hassan, Ramsha Ahmed, Taimur Hassan, Naoufel Werghi:
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression. - Akshat Gautam, Muhammed Ali Sit, Ibrahim Demir:
Realistic River Image Synthesis using Deep Generative Adversarial Networks. - Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid:
Verifying Deep Learning-based Decisions for Facial Expression Recognition. - Mohammad Sayad Haghighi:
Critical Study of Markovian Approaches for Batch Arrival Modeling in IEEE 802.15.4-based Networks. - Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee:
GSANet: Semantic Segmentation with Global and Selective Attention. - Kangying Li, Biligsaikhan Batjargal, Akira Maeda:
Character Segmentation in Asian Collector's Seal Imprints: An Attempt to Retrieval Based on Ancient Character Typeface. - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. - Gabriela Y. Kimura, Diego Rafael Lucio, Alceu S. Britto Jr., David Menotti:
CNN Hyperparameter tuning applied to Iris Liveness Detection. - Yansel González Tejeda, Helmut Mayer:
CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning. - (Withdrawn) Deep Variational Luenberger-type Observer for Stochastic Video Prediction.
- Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes:
Marine life through You Only Look Once's perspective. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
On Parameter Tuning in Meta-learning for Computer Vision. - Han Fu, Yunyu Bai, Zhuo Li, Jun Shen, Jianling Sun:
A Machine Learning Framework for Data Ingestion in Document Images. - Bin Fang, Xingming Long, Yifan Zhang, GuoYi Luo, Fuchun Sun, Huaping Liu:
Fabric Defect Detection Using Vision-Based Tactile Sensor. - Abhishek Saroha, Avichal Rakesh, Rajiv Kumar Tripathi:
FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization. - Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. - Peng Hu, Xiusheng Liu:
A new method for constructing EAQEC MDS codes. - Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
A General Framework for Symmetric Property Estimation. - Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan:
Addressing target shift in zero-shot learning using grouped adversarial learning. - Stephan Rave, Jens Saak:
An Instationary Thermal-Block Benchmark Model for Parametric Model Order Reduction. - Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tiejun Huang:
Learning to Deblur and Generate High Frame Rate Video with an Event Camera. - Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Seungjun Lee:
Deep Learning on Radar Centric 3D Object Detection. - Quentin Mérigot, Boris Thibert:
Optimal transport: discretization and algorithms. - Chenxi Xiao, Juan P. Wachs:
Triangle-Net: Towards Robustness in Point Cloud Classification. - Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. - Aaqif Afzaal Abbasi, Shahab Shamshirband, Mohammed Abdulaziz Aide Al-qaness, Almas Abbasi, Nashat T. AL-Jallad, Amir Mosavi:
Resource-Aware Network Topology Management Framework. - Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). - Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. - Ezekiel O. Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay, Andreas Zeller:
Exposing Backdoors in Robust Machine Learning Models. - Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor:
Wireless AI: Enabling an AI-Governed Data Life Cycle. - Myeongjin Kim, Hyeran Byun:
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation. - Fatemeh Sarkohaki, Reza Fotohi, Vahab Ashrafian:
An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System. - Shahram Behzad, Reza Fotohi, Jaber Hosseini Balov, Mohammad Javad Rabipour:
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks. - Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. - Jinfu Lin, Xiaojian He:
Few-shot Learning with Weakly-supervised Object Localization. - Jian Ma:
Predicting TUG score from gait characteristics based on video analysis and machine learning. - Chuanxing Geng, Zhenghao Tan, Songcan Chen:
A Multi-view Perspective of Self-supervised Learning. - Daniel E. Acuna, Ziyue Xiang:
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. - Stanton R. Price, Steven R. Price, Derek T. Anderson:
Introducing Fuzzy Layers for Deep Learning. - Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The perceptual boost of visual attention is task-dependent in naturalistic settings. - Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space. - Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction. - Steffen Wolf, Fred A. Hamprecht, Jan Funke:
Instance Separation Emerges from Inpainting. - Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. - Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. - Kate Wilkinson, George Cevora:
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Learning to See: You Are What You See. - Peter Robinson, Raghavendra Ramesh, John Brainard, Sandra Johnson:
Atomic Crosschain Transactions White Paper. - Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Deep Meditations: Controlled navigation of latent space. - Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. - Bert Abrath, Bart Coppens, Jens Van den Broeck, Brecht Wyseur, Alessandro Cabutto, Paolo Falcarin, Bjorn De Sutter:
Code Renewability for Native Software Protection. - Soodeh Atefi, Andrew Truelove, Matheus Rheinschmitt, Eduardo Santana de Almeida, Iftekhar Ahmed, Amin Alipour:
Examining user reviews of conversational systems: a case study of Alexa skills. - Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Structured Prediction with Partial Labelling through the Infimum Loss. - Teus H. Kappen, Mirko Noordegraaf, Wilton A. van Klei, Karel G. M. Moons, Cor J. Kalkman:
Decision Support in the Context of a Complex Decision Situation. - Yelena Mejova, Kyriaki Kalimeri:
Advertisers Jump on Coronavirus Bandwagon: Politics, News, and Business. - Lukas Schaupp, Patrick Pfreundschuh, Mathias Bürki, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments. - Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. - Hossein Rahmani, Sajjad Arshad, Mohsen Ebrahimi Moghaddam:
A Disk Scheduling Algorithm Based on ANT Colony Optimization. - George Rautenbach, C. Maria Keet:
Toward equipping Artificial Moral Agents with multiple ethical theories. - Yi-Rui Yang, Wu-Jun Li:
BASGD: Buffered Asynchronous SGD for Byzantine Learning. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
ETH-Tight Algorithms for Long Path and Cycle on Unit Disk Graphs. - Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester:
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players. - Steve Huntsman:
Generalizing cyclomatic complexity via path homology. - Piotr Kicki, Tomasz Gawron, Piotr Skrzypczynski:
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment. - Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. - Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. - Cara M. Nunez, Bryce N. Huerta, Allison M. Okamura, Heather Culbertson:
Investigating Social Haptic Illusions for Tactile Stroking (SHIFTS). - Björn Stinner, Andreas Dedner, Adam Nixon:
A surface finite element method for computational modelling of cell blebbing. - Gaetano Geck, Frank Neven, Thomas Schwentick:
Distribution Constraints: The Chase for Distributed Data. - Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
YouTube Recommendations and Effects on Sharing Across Online Social Platforms. - Philip H. Kulp, Nikki E. Robinson:
Graphing Website Relationships for Risk Prediction: Identifying Derived Threats to Users Based on Known Indicators. - Ashish Dandekar, Debabrota Basu, Stéphane Bressan:
Differential Privacy at Risk: Bridging Randomness and Privacy Budget. - Philippe Caillou, Jonas Renault, Jean-Daniel Fekete, Anne-Catherine Letournel, Michèle Sebag:
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections. - Kristopher Ambrose, Steve Huntsman, Michael Robinson, Matvey Yutin:
Topological Differential Testing. - Ye Lyu, Michael Ying Yang, George Vosselman, Guisong Xia:
Plug & Play Convolutional Regression Tracker for Video Object Detection. - Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. - Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. - Suat Gumussoy, Hitay Özbay:
Control of Systems with Infinitely Many Unstable Modes and Strongly Stabilizing Controllers Achieving a Desired Sensitivity. - Md. Ferdous Pervej, Shih-Chun Lin:
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach. - Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth:
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. - Eden Abadi, Ronen I. Brafman:
Learning and Solving Regular Decision Processes. - Kasturi Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Shivani Singh:
On the Probability of Erasure for MIMO-OFDM. - Axel Kröner, Heiko Kröner:
Estimates of constants in error estimates for H2 conforming finite elements for regularized nonlinear elliptic geometric evolution equations and question of optimality. - Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of primary and collateral tracks in stuttered speech. - Haoran Su, Joseph Y. J. Chow, Li Jin:
V2I Connectivity-Based Dynamic Queue-Jumper Lane for Emergency Vehicles: An Approximate Dynamic Programming Approach. - Qiugang Lu, Sungho Shin, Victor M. Zavala:
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea:
Exploring Backdoor Poisoning Attacks Against Malware Classifiers. - Ignacio Abadia, Francisco Naveros, Jesús Alberto Garrido, Eduardo Ros, Niceto R. Luque:
On robot compliance. A cerebellar control approach. - Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello:
One or Two Components? The Scattering Transform Answers. - Jacob Miller, Guillaume Rabusseau, John Terilla:
Tensor Networks for Language Modeling. - Chuangchuang Sun, Macheng Shen, Jonathan P. How:
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. - Ayush Kumar, Jithendra Vepa:
Gated Mechanism for Attention Based Multimodal Sentiment Analysis. - Andrew D. Kercher, Andrew Corrigan:
A Least-Squares Formulation of the Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement. - Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala:
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime. - Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. - Zhe Ji, Lin Fu, Xiangyu Hu, Nikolaus A. Adams:
A Feature-aware SPH for Isotropic Unstructured Mesh Generation. - Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera:
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation. - Sepanta Zeighami, Raymond Chi-Wing Wong:
Bridging the Gap Between Theory and Practice on Insertion-Intensive Database. - Naji Shajarisales, Peter Spirtes, Kun Zhang:
Learning from Positive and Unlabeled Data by Identifying the Annotation Process. - Ashish Rao, Bidipta Sarkar, Tejas Narayanan:
Gaussian Process Policy Optimization. - Christoph Berkholz, Nicole Schweikardt:
Constant delay enumeration with FPT-preprocessing for conjunctive queries of bounded submodular width. - Murat Saglam, Sami Ezercan, Suat Gumussoy, Hitay Özbay:
Controller Tuning for Active Queue Management Using a Parameter Space Method. - Joseph Ben Geloun, Camille Coti, Allen D. Malony:
On-the-fly Optimization of Parallel Computation of Symbolic Symplectic Invariants. - Lixia Yan, Baoli Ma:
Distributed Leader-Follower Formation Tracking Control of Multiple Quad-rotors. - Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. - Suat Gumussoy, Hitay Özbay:
Remarks on Strong Stabilization and Stable H-infinity Controller Design. - Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. - Dimitrios Chamzas, Konstantinos Moustakas:
3D Augmented Reality Tangible User Interface using Commodity Hardware. - Difan Zou, Philip M. Long, Quanquan Gu:
On the Global Convergence of Training Deep Linear ResNets. - Arnab Paul, Mamdudul Haque Khan, M. Muktadir Rahman, Tanvir Zaman Khan, Prajoy Podder, Md. Yeasir Akram Khan:
Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter. - Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia:
China may need to support more small teams in scientific research. - Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao:
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. - Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolò Michelusi:
Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics. - Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. - Jeffrey M. Ede:
Warwick Electron Microscopy Datasets. - Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer:
Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme. - Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran:
Online Agnostic Boosting via Regret Minimization. - Tapajit Dey, Audris Mockus:
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages. - Charles Carlson, Ewan Davies, Alexandra Kolla:
Efficient algorithms for the Potts model on small-set expanders. - Hermann Kaindl, Stefan Kramer:
Towards Probability-based Safety Verification of Systems with Components from Machine Learning. - Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal:
Real-World Human-Robot Collaborative Reinforcement Learning. - Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos:
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. - Chen Jiang, Masood Dehghan, Martin Jägersand:
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream. - Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. - Peng Jiang, Srikanth Saripalli:
LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation. - Chirag Nagpal, Xinyu Li, Artur Dubrawski:
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. - Anil Shanbhag, Samuel Madden, Xiangyao Yu:
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version). - Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau:
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. - Jingxiu Yao, Martin J. Shepperd:
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters. - Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam:
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network. - Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales:
Adversarial Generation of Informative Trajectories for Dynamics System Identification. - Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo:
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry. - Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. - Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox:
Natural Language Processing Advancements By Deep Learning: A Survey. - Siddhartha V. Jayanti, Robert E. Tarjan:
Concurrent Disjoint Set Union. - Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. - Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. - Sheng Chen, Jie Shen:
Log orthogonal functions: approximation properties and applications. - Subodh Mishra, Gaurav Pandey, Srikanth Saripalli:
Extrinsic Calibration of a 3D-LIDAR and a Camera. - Thoria Alghamdi, Gita Alaghband:
High Performance Parallel Sort for Shared and Distributed Memory MIMD. - Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li:
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Armin Ziaie Tabari, Xinming Ou:
A First Step Towards Understanding Real-world Attacks on IoT Devices. - Xiaodong Yang, Hoang-Dung Tran, Weiming Xiang, Taylor T. Johnson:
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices. - Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig:
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks. - Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong:
The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces. - Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. - Andrés Páez:
Robot Mindreading and the Problem of Trust. - Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. - Nathan Bucki, Junseok Lee, Mark W. Mueller:
Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation. - Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel:
Rethinking Randomized Smoothing for Adversarial Robustness. - Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. - Weijing Shi, Ragunathan Rajkumar:
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. - Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrovic, Yasamin Nazari:
Massively Parallel Algorithms for Distance Approximation and Spanners. - Zhen Ma, He Xu, Yonghui Zhang, Junlong Chen, Dongbo Zhao, Siqing Chen:
Augmented Reality on the Large Scene Based on a Markerless Registration Framework. - Amir Mahdi Sadeghzadeh, Rasool Jalili, Saeed Shiravi:
Adversarial Network Traffic: Toward Evaluating the Robustness of Deep Learning Based Network Traffic Classification. - Matthew L. Leavitt, Ari S. Morcos:
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. - Elizabeth Harris, Bishnu P. Lamichhane, Quoc Thong Le Gia:
Approximation of noisy data using multivariate splines and finite element methods. - Masakazu Yoshimura, Murilo M. Marinho, Kanako Harada, Mamoru Mitsuishi:
Single-Shot Pose Estimation of Surgical Robot Instruments' Shafts from Monocular Endoscopic Images. - Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado:
Med7: a transferable clinical natural language processing model for electronic health records. - Devi Parikh:
Predicting A Creator's Preferences In, and From, Interactive Generative Art. - Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. - Mai T. P. Le, Luca Sanguinetti, Emil Björnson, Maria-Gabriella Di Benedetto:
Code-domain NOMA in Massive MIMO: When is it Needed? - Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. - Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin:
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas. - Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. - Boris Galkin, Ramy Amer, Erika Fonseca, Luiz A. DaSilva:
Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach. - Tetsuo Inoshita, Yuichi Nakatani, Katsuhiko Takahashi, Asuka Ishii, Gaku Nakano:
Trained Model Fusion for Object Detection using Gating Network. - Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou:
Data Invariants: On Trust in Data-Driven Systems. - Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai:
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. - Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. - Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi:
Regression via Implicit Models and Optimal Transport Cost Minimization. - Changhao Sun, Chen Li, Xiaoyan Li:
Gastric histopathology image segmentation using a hierarchical conditional random field. - Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. - Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez, Andrea G. Parker, Michelle A. Borkin:
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence. - Qian Chen, Zhu Zhuo, Wen Wang, Qiuyun Xu:
Transfer Learning for Context-Aware Spoken Language Understanding. - Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo, Zhongyong Wang, Jiangtao Xi, Yonghui Li:
Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation. - Qian Chen, Mengzhe Chen, Bo Li, Wen Wang:
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection. - Anirban Das, Shigeru Imai, Mike P. Wittie, Stacy Patterson:
Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement. - Diogo Pacheco, Alessandro Flammini, Filippo Menczer:
Unveiling Coordinated Groups Behind White Helmets Disinformation. - Douglas Morrison, Peter Corke, Jürgen Leitner:
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. - Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela:
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. - Jessica Van Brummelen, Kevin Weng, Phoebe Lin, Catherine Yeo:
Convo: What does conversational programming need? An exploration of machine learning interface design. - Yerlan Amanbek, Timur Merembayev, Sanjay Srinivasan:
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation. - Kishan Panaganti, Dileep M. Kalathil:
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. - Yuepeng Wang, Rushi Shah, Abby Criswell, Rong Pan, Isil Dillig:
Data Migration using Datalog Program Synthesis. - Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. - XuZhang, ChenjunZhou, Bo Gu:
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search. - Xiaogang Zhu:
Numerical solution of the general high-dimensional multi-term time-space-fractional diffusion equations. - Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen:
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. - Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. - Haijian Sun, Xiang Ma, Rose Qingyang Hu:
Adaptive Federated Learning With Gradient Compression in Uplink NOMA. - Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel:
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification. - Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi:
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. - Liang Xu, Xuanwei Zhang, Qianqian Dong:
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model. - Gary P. T. Choi, Di Qiu, Lok Ming Lui:
Shape analysis via inconsistent surface registration. - Hualie Jiang, Laiyan Ding, Rui Huang:
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos. - Mohit Lamba, Kaushik Mitra:
multi-patch aggregation models for resampling detection. - Samarth Sinha, Animesh Garg, Hugo Larochelle:
Curriculum By Texture. - Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Traversing the Reality Gap via Simulator Tuning. - Qichen Li, Xiaoke Jiang, Jun Xia, Jian Li:
Meta-Embeddings Based On Self-Attention. - Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. - S. R. Siva Prasad Kochi, M. Ramakrishna:
Shock capturing with discontinuous Galerkin Method using Overset grids for two-dimensional Euler equations. - Bernadette Spieler, Naomi Pfaff, Stefania Makrygiannaki, Wolfgang Slany:
The Magic Word: A Coding Tutorial-Game to Engage Female Teenagers in App Design. - Hao Wu, Jan Paul Siebert:
Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN. - William Agnew, Pedro Domingos:
Self-Supervised Object-Level Deep Reinforcement Learning. - Matilde Boschiero, Marco Giordani, Michele Polese, Michele Zorzi:
Coverage Analysis of UAVs in Millimeter Wave Networks: A Stochastic Geometry Approach. - Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Verloop:
Improving the performance of heterogeneous data centers through redundancy. - Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati Latifah Rajab Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos. - Junqiang Cheng, Chenglu Jia, Hui Gao, Wenjun Xu, Zhisong Bie:
OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems. - Jimmy Etienne, Sylvain Lefebvre:
Procedural band patterns. - Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg:
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. - Ziling Wu, Ping Liu, Zheng Hu, Jun Wang:
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution. - Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma:
What's the relationship between CNNs and communication systems? - Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. - Wlodzimierz Drabent:
The Prolog Debugger and Declarative Programming. Examples. - Chaehan So:
Understanding the Prediction Mechanism of Sentiments by XAI Visualization. - Claudio Zito:
Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli. - Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. - Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation. - Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
Embodied Synaptic Plasticity with Online Reinforcement learning. - Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue:
On Dominant Interference in Random Networks and Communication Reliability. - Shanchao Yang, Jing Liu, Kai Wu, Mingming Li:
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. - Traiko Dinev, Songyan Xin, Wolfgang Merkt, Vladimir Ivan, Sethu Vijayakumar:
Modeling and Control of a Hybrid Wheeled Jumping Robot. - Zhihui Wang, Chongwei Liu, Shijie Wang, Tao Tang, Yulong Tao, Caifei Yang, Haojie Li, Xing Liu, Xin Fan:
UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking. - Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti:
3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks. - Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns. - Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. - Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll:
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion. - Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. - Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva:
Differentiable Causal Backdoor Discovery. - Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation. - Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati, Wouter Wolfslag, Sethu Vijayakumar, Michael N. Mistry:
Bio-mimetic Adaptive Force/Position Control Using Fractal Impedance. - Rima Khouja, Houssam Khalil, Bernard Mourrain:
A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem. - Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristià, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux:
Seshat: A tool for managing and verifying annotation campaigns of audio data. - Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. - Adria Ruiz, Jakob Verbeek:
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. - Grzegorz Dudek, Pawel Pelka:
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. - Jingye Li, Meishan Zhang, Donghong Ji, Yijiang Liu:
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition. - Davoud Mougouei, David M. W. Powers:
Modeling and Selection of Interdependent Software Requirements using Fuzzy Graphs. - Jonathan Sterling, Carlo Angiuli, Daniel Gratzer:
A Cubical Language for Bishop Sets. - Witold Wydmanski, Szymon Szott:
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. - Alizée Gagnon, Alexander Hassler, Jerry Huang, Aaron Krim-Yee, Fionn Mc Inerney, Andrés Zacarías, Ben Seamone, Virgélot Virgile:
A method for eternally dominating strong grids. - Gang Peng, Zezao Lu, Bocheng Chen, Shanliang Chen, Dingxin He:
Robust tightly coupled pose estimation based on monocular vision, inertia, and wheel speed. - Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg:
A Permutation-Equivariant Neural Network Architecture For Auction Design. - Zicheng Qiu, Wei Jiang, Turghunjan Mamut:
Improving Uyghur ASR systems with decoders using morpheme-based language models. - Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. - Aneta Neumann, Bradley Alexander, Frank Neumann:
Evolutionary Image Transition and Painting Using Random Walks. - Sunders Bruskin, Polina Zilberman, Rami Puzis, Shay Shwarz:
SoK: A Survey of Open Source Threat Emulators. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
Evidence-based explanation to promote fairness in AI systems. - Leyuan Wang, John D. Owens:
Fast Gunrock Subgraph Matching (GSM) on GPUs. - Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. - Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst:
On the Effectiveness of Virtual Reality-based Training for Robotic Setup. - Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. - Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters:
Underactuated Waypoint Trajectory Optimization for Light Painting Photography. - (Withdrawn) Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.
- Suat Gumussoy, Hitay Özbay:
On Stable H-infinity Controllers for Time Delay Systems. - Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu:
Evaluation Framework For Large-scale Federated Learning. - Chaehan So:
Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors. - Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song:
Reconfigurable Design for Omni-adaptive Grasp Learning. - Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, Chaoyang Song:
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger. - Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song:
Rigid-Soft Interactive Learning for Robust Grasping. - Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. - Richard R. Carrillo, Francisco Naveros, Eduardo Ros, Niceto R. Luque:
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks. - Luca Calderoni, Luciano Margara, Moreno Marzolla:
Direct Product Primality Testing of Graphs is GI-hard. - Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui:
Marketplace for AI Models. - Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu:
Analyzing Accuracy Loss in Randomized Smoothing Defenses. - Alex Nichol:
VQ-DRAW: A Sequential Discrete VAE. - Yuan Chen, Songming Hou, Xu Zhang:
A Bilinear Partially Penalized Immersed Finite Element Method for Elliptic Interface Problems with Multi-Domains and Triple-Junction Points. - Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. - Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. - Natalie Best, Jordan Ott, Erik Linstead:
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. - Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - Suat Gumussoy, Hitay Özbay:
Sensitivity Minimization by Stable Controllers: An Interpolation Approach for Suboptimal Solutions. - Tate Kernell, Robert C. Kirby:
Preconditioning mixed finite elements for tide models. - Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric landmark detection with a multi-scale shift equivariant neural network. - Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar:
Explaining Groups of Points in Low-Dimensional Representations. - Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas:
A Survey on Big Data for Network Traffic Monitoring and Analysis. - Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel D. Lee:
Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction. - Suat Gumussoy, Hitay Özbay:
Sensitivity minimization by stable controllers for a class of unstable time-delay systems. - Harsh Tataria, Fredrik Tufvesson:
Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems. - Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. - Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. - Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh:
Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection. - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors. - Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia:
Model Assertions for Monitoring and Improving ML Models. - Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. - Harsh Tataria, Fredrik Tufvesson, Ove Edfors:
Real-Time Implementation Aspects of Large Intelligent Surfaces. - Quan Zhao, Wei Jiang, Weizhu Bao:
An energy-stable parametric finite element method for simulating solid-state dewetting. - Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. - Daniel Selsam, Simon Hudon, Leonardo de Moura:
Sealing Pointer-Based Optimizations Behind Pure Functions. - Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. - Francesco Croce, Matthias Hein:
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. - Mohammad Zeynali Azim, Mohammad Ali Jabraeil Jamali, Babak Anari, Saeid Alikhani, Shahin Akbarpour:
Graphs and codes produced by a new method for dividing a natural number by two. - Alfons Geser, Dieter Hofbauer, Johannes Waldmann:
Sparse Tiling through Overlap Closures for Termination of String Rewriting. - Bapi Chatterjee, Sathya Peri, Muktikanta Sa:
Dynamic Graph Operations: A Consistent Non-blocking Approach. - Suat Gumussoy, Hitay Özbay:
Remarks on H-infinity Controller Design for SISO Plants with Time Delays. - Allen Liu, Renato Paes Leme, Jon Schneider:
Contextual Search for General Hypothesis Classes. - Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári:
Model Selection in Contextual Stochastic Bandit Problems. - Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Hierarchically Decoupled Imitation for Morphological Transfer. - Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos:
BATS: Binary ArchitecTure Search. - Lotte Bransen, Jan Van Haaren:
Player Chemistry: Striving for a Perfectly Balanced Soccer Team. - Charis Mesaritakis, Marialena Akriotou, Dimitris Syvridis:
Laser Induced Speckle as a Foundation for Physical Security and Optical Computing. - Jens Bayer, David Münch, Michael Arens:
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition. - Maude J. Blondin, Matthew T. Hale:
An Algorithm for Multi-Objective Multi-Agent Optimization. - Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang:
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters. - AbdulAziz Al-Helali, Ben Liang, Nidal Nasser:
Novel Molecular Signaling Method and System for Molecular Communication in Human Body. - Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Jie Liu, Jiawen Liu, Zhen Xie, Dong Li:
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. - Noam Elron, Shahar S. Yuval, Dmitry Rudoy, Noam Levy:
Blind Image Restoration without Prior Knowledge. - Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. - Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian:
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet. - Miguel A. F. Sanjuán:
Artificial Intelligence, Chaos, Prediction and Understanding in Science. - Robert Mieth, Matthew Roveto, Yury Dvorkin:
Risk Trading in a Chance-Constrained Stochastic Electricity Market. - Tianyu Wang, Julian Whitman, Matthew J. Travers, Howie Choset:
Directional Compliance in Obstacle-Aided Navigation for Snake Robots. - Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, Seyed Reza Ahmadzadeh, Holly A. Yanco:
Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects. - Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. - Matt Roveto, Robert Mieth, Yury Dvorkin:
Co-Control of VaR and CVaR forData-Driven Stochastic Demand Response Auction. - Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung:
Untangling in Invariant Speech Recognition. - James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications. - Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu:
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. - Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. - Binxuan Huang, Kathleen M. Carley:
Discover Your Social Identity from What You Tweet: a Content Based Approach. - Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger:
A3: Activation Anomaly Analysis. - Mouhyemen Khan, Akash Patel, Abhijit Chatterjee:
Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control. - Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. - Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu:
RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision. - Therese Biedl, Anna Lubiw, Owen D. Merkel:
Building a larger class of graphs for efficient reconfiguration of vertex colouring. - Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki:
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. - Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson:
Implicitly Defined Layers in Neural Networks. - Davoud Mougouei, David M. W. Powers:
Dependency-Aware Release Planning for Software Projects using Fuzzy Graphs and Integer Programming. - Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune:
Scaling MAP-Elites to Deep Neuroevolution. - Ricard Durall, Margret Keuper, Janis Keuper:
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. - Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg:
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. - Nathan Vaughn, Leighton Wilson, Robert Krasny:
A GPU-Accelerated Barycentric Lagrange Treecode. - Nishant Budhdev, Mun Choon Chan, Tulika Mitra:
IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization. - Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. - Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. - Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How:
A Distributed Pipeline for Scalable, Deconflicted Formation Flying. - Taisuke Kobayashi:
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems. - Geon Lee, Jihoon Ko, Kijung Shin:
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. - Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Yuichiro Yoshikawa, Hiroshi Ishiguro:
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification. - Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou:
Region adaptive graph fourier transform for 3d point clouds. - Shinji Hara, Tetsuya Iwasaki, Yutaka Hori:
Robust Instability Analysis with Application to Neuronal Dynamics. - Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot:
Semantic sensor fusion: from camera to sparse lidar information. - Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack for Generative Models. - Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li:
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors. - Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. - Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li:
Privacy-preserving Learning via Deep Net Pruning. - Dhanoop Karunakaran, Stewart Worrall, Eduardo M. Nebot:
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles. - Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-based Consensus Clustering on Specialized Hardware. - Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje:
MoVi: A Large Multipurpose Motion and Video Dataset. - Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Amir Hossein Raffiee, Michael Sollami:
GarmentGAN: Photo-realistic Adversarial Fashion Transfer. - Chengjin Sun, Sizhe Chen, Xiaolin Huang:
Double Backpropagation for Training Autoencoders against Adversarial Attack. - Preetum Nakkiran, Prayaag Venkat, Sham M. Kakade, Tengyu Ma:
Optimal Regularization Can Mitigate Double Descent. - Zhengyang Guo, Yi Li:
Minimum Enclosing Parallelogram with Outliers. - James Aspnes:
Notes on Randomized Algorithms. - Sulgi Kim, Kyungmin Kim:
Odds-Ratio Thompson Sampling to Control for Time-Varying Effect. - Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin:
Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks. - Xingyu Chen, Yue Lu, Zhengxing Wu, Junzhi Yu, Li Wen:
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes. - Debasish Pattanayak, Klaus-Tycho Foerster, Partha Sarathi Mandal, Stefan Schmid:
Distributed Pattern Formation With Faulty Robots. - Nathan F. Lepora, John Lloyd:
Optimal Deep Learning for Robot Touch. - Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. - Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. - Chen-Yu Wei, Haipeng Luo, Alekh Agarwal:
Taking a hint: How to leverage loss predictors in contextual bandits? - Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi:
Coded Caching with Uneven Channels: A Quality of Experience Approach. - Ruo Li, Fanyi Yang:
Reconstructed Discontinuous Approximation to Stokes Equation in A Sequential Least Squares Formulation. - Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed, Mahfuz Ara Proma, S. M. Shahriar Haque:
Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View. - Alexander Prolubnikov:
The discrete optimization problems with interval objective function on graphs and hypergraphs and the interval greedy algorithm. - Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon:
Gaussianization Flows. - Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou, Nikolaos Giakoumidis, Anthony Tzes:
Relative Visual Localization for Unmanned Aerial Systems. - Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
ASMD: an automatic framework for compiling multimodal datasets. - Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong:
Occlusion Aware Unsupervised Learning of Optical Flow From Video. - Victor Berger, Michèle Sebag:
Variational Auto-Encoder: not all failures are equal. - Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Flow Computation in Temporal Interaction Networks. - Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho:
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements. - Michael Carr, Siamak F. Shahandashti:
Revisiting Security Vulnerabilities in Commercial Password Managers. - Fabian Wolf, Gernot A. Fink:
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling. - Maurantonio Caprolu, Roberto Di Pietro, Simone Raponi, Savio Sciancalepore, Pietro Tedeschi:
Vessels Cybersecurity: Issues, Challenges, and the Road Ahead. - Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis:
Metrics and methods for robustness evaluation of neural networks with generative models. - Murat Kirtay, Ugo Albanese, Lorenzo Vannucci,