2019.10.27 Learning papers

10-23-2019	Occlusions for Effective Data Augmentation in Image Classification by Ruth Fong et al
10-22-2019	Deep Learning at the Edge by Sahar Voghoei et al
10-24-2019	Gradient Sparification for Asynchronous Distributed Training by Zijie Yan
10-24-2019	Online Boosting for Multilabel Ranking with Top-k Feedback by Daniel T. Zhang et al
10-25-2019	Exploring Multilingual Syntactic Sentence Representations by Chen Liu et al
10-22-2019	Bottom-Up Meta-Policy Search by Luckeciano C. Melo et al
10-24-2019	Integrating overlapping datasets using bivariate causal discovery by Anish Dhir et al
10-25-2019	Multi-scale Deep Neural Networks for Solving High Dimensional PDEs by Wei Cai et al
10-23-2019	Self-Attention for Raw Optical Satellite Time Series Classification by Marc Rußwurm et al
10-23-2019	Robust Domain Randomization for Reinforcement Learning by Reda Bahi Slaoui et al
10-25-2019	On the Tunability of Optimizers in Deep Learning by Prabhu Teja Sivaprasad et al
10-25-2019	Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations by Batuhan Güler et al
10-22-2019	Continual Learning for Infinite Hierarchical Change-Point Detection by Pablo Moreno-Muñoz et al
10-22-2019	Deep Set-to-Set Matching and Learning by Yuki Saito et al
10-23-2019	Bootstrapping deep music separation from primitive auditory grouping principles by Prem Seetharaman et al
10-23-2019	Superposition as Data Augmentation using LSTM and HMM in Small Training Sets by Akilesh Sivaswamy et al
10-23-2019	Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics by Shuo Li et al
10-23-2019	Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks by Jinming Xu et al
10-23-2019	Deep learning guided Android malware and anomaly detection by Nikola Milosevic et al
10-23-2019	Random 2.5D U-net for Fully 3D Segmentation by Christoph Angermann et al
10-22-2019	A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data by Lorenzo Gigoni et al
10-22-2019	Learning the helix topology of musical pitch by Vincent Lostanlen et al
10-22-2019	Global Capacity Measures for Deep ReLU Networks via Path Sampling by Ryan Theisen et al
10-22-2019	Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis by Eric Battenberg et al
10-22-2019	Self-supervised pre-training with acoustic configurations for replay spoofing detection by Hye-jin Shim et al
10-22-2019	Bridging the Gap Between ff-GANs and Wasserstein GANs by Jiaming Song et al
10-23-2019	Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control by Sangkyun Lee et al
10-24-2019	Convex Optimisation for Inverse Kinematics by Tarun Yenamandra et al
10-23-2019	Learning Multiparametric Biomarkers for Assessing MR-Guided Focused Ultrasound Treatments Using Volume-Conserving Registration by Blake Zimmerman et al
10-25-2019	Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning by Mathieu N Galtier et al
10-22-2019	Incremental Online Spoken Language Understanding by Prashanth Gurunath Shivakumar et al
10-25-2019	A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet by David Ditter et al
10-24-2019	HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators by Chengshu Li et al
10-24-2019	Calibration tests in multi-class classification: A unifying framework by David Widmann et al
10-24-2019	Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram by Ryuichi Yamamoto et al
10-25-2019	Learning Mixtures of Plackett-Luce Models from Structured Partial Orders by Zhibing Zhao et al
10-22-2019	Towards best practice in explaining neural network decisions with LRP by Maximilian Kohlbrenner et al
10-23-2019	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning by Tianhe Yu et al
10-23-2019	gradSLAM: Dense SLAM meets Automatic Differentiation by Krishna Murthy Jatavallabhula et al
10-23-2019	A practical two-stage training strategy for multi-stream end-to-end speech recognition by Ruizhi Li et al
10-23-2019	Efficient Dynamic WFST Decoding for Personalized Language Models by Jun Liu et al
10-22-2019	An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision by Hanchen Wang et al
10-22-2019	Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide by Ganesh Sivaraman et al
10-22-2019	Federated Evaluation of On-device Personalization by Kangkang Wang et al
10-23-2019	Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales by Sanjay Thakur et al
10-22-2019	Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer by Merlijn Blaauw et al
10-23-2019	Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning by Kemal Davaslioglu et al
10-23-2019	Preventing Adversarial Use of Datasets through Fair Core-Set Construction by Benjamin Spector et al
10-23-2019	Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition by Lin Chen et al
10-25-2019	Unsupervised Space-Time Clustering using Persistent Homology by Umar Islambekov et al
10-25-2019	DR||GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images by Teresa Araújo et al
10-25-2019	BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search by Colin White et al
10-24-2019	Capacity, Bandwidth, and Compositionality in Emergent Language Learning by Cinjon Resnick et al
10-22-2019	Self-Correction for Human Parsing by Peike Li et al
10-22-2019	Weakly Supervised Disentanglement with Guarantees by Rui Shu et al
10-22-2019	Toward Automated Website Classification by Deep Learning by Fabrizio De Fausti et al
10-24-2019	Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification by Daniel T. Chang
10-23-2019	Speaker Adaptive Training using Model Agnostic Meta-Learning by Ondřej Klejch et al
10-22-2019	Learning Partial Differential Equations from Data Using Neural Networks by Ali Hasan et al
10-22-2019	Recurrent Attention Walk for Semi-supervised Classification by Uchenna Akujuobi et al
10-22-2019	Train Where the Data is: A Case for Bandwidth Efficient Coded Training by Zhifeng Lin et al
10-22-2019	Deep learning enabled laser speckle wavemeter with a high dynamic range by Roopam K. Gupta et al
10-23-2019	Weakly-Supervised Degree of Eye-Closeness Estimation by Eyasu Mequanint et al
10-23-2019	Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning by Patrik Reizinger et al
10-24-2019	Study of Deep Generative Models for Inorganic Chemical Compositions by Yoshihide Sawada et al
10-24-2019	Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions by Gabriele Farina et al
10-22-2019	Face representation by deep learning: a linear encoding in a parameter space? by Qiulei Dong et al
10-22-2019	Stochastic Feedforward Neural Networks: Universal Approximation by Thomas Merkh et al
10-22-2019	Adversarial Example Detection by Classification for Deep Speech Recognition by Saeid Samizade et al
10-25-2019	Strong Log-Concavity Does Not Imply Log-Submodularity by Alkis Gotovos
10-24-2019	Taxonomy of Real Faults in Deep Learning Systems by Gunel Jahangirova et al
10-25-2019	Limits of Private Learning with Access to Public Data by Noga Alon et al
10-24-2019	Fixed-Confidence Guarantees for Bayesian Best-Arm Identification by Xuedong Shang et al
10-22-2019	Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy by Joaquin Perez-Lapillo et al
10-22-2019	Depth-Adaptive Transformer by Maha Elbayad et al
10-22-2019	Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels by Sangwoo Park et al
10-24-2019	A Recurrent Variational Autoencoder for Speech Enhancement by Simon Leglaive et al
10-22-2019	Hypergraph clustering with categorical edge labels by Ilya Amburg et al
10-22-2019	State2vec: Off-Policy Successor Features Approximators by Sephora Madjiheurem et al
10-22-2019	Restless Hidden Markov Bandits with Linear Rewards by Michal Yemini et al
10-23-2019	Contextual Imagined Goals for Self-Supervised Robotic Learning by Ashvin Nair et al
10-22-2019	Distributed interference cancellation in multi-agent scenarios by Mahdi Shamsi et al
10-22-2019	Cross-Representation Transferability of Adversarial Perturbations: From Spectrograms to Audio Waveforms by Karl M. Koerich et al
10-22-2019	Structure Matters: Towards Generating Transferable Adversarial Images by Dan Peng et al
10-22-2019	Weighted Distributed Differential Privacy ERM: Convex and Non-convex by Yilin Kang et al
10-24-2019	Katyusha Acceleration for Convex Finite-Sum Compositional Optimization by Yibo Xu et al
10-22-2019	Mask Combination of Multi-layer Graphs for Global Structure Inference by Eda Bayram et al
10-22-2019	Uncertainty Quantification with Generative Models by Vanessa Böhm et al
10-23-2019	Relation Module for Non-answerable Prediction on Question Answering by Kevin Huang et al
10-24-2019	On sample complexity of neural networks by Alexander Usvyatsov
10-22-2019	Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures by Seyed Omid Sajedi et al
10-23-2019	A context sensitive real-time Spell Checker with language adaptability by Prabhakar Gupta
10-24-2019	A Bayesian Approach to Recurrence in Neural Networks by Philip N. Garner et al
10-23-2019	Sparse Orthogonal Variational Inference for Gaussian Processes by Jiaxin Shi et al
10-23-2019	Neural Execution of Graph Algorithms by Petar Veličković et al
10-22-2019	Unsupervised Videographic Analysis of Rodent Behaviour by Anthony Bourached et al
10-24-2019	Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior by William Hoiles et al
10-25-2019	SPICE: Self-supervised Pitch Estimation by Beat Gfeller et al
10-24-2019	Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks by Ziye Yang et al
10-23-2019	Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control by Jonathan Chang et al
10-22-2019	Learning Humanoid Robot Running Skills through Proximal Policy Optimization by Luckeciano C. Melo et al
10-23-2019	Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction by Zhuonan He et al
10-23-2019	DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters by Asiri Wijesinghe et al
10-22-2019	From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions by Yujie Lin et al
10-23-2019	Diametrical Risk Minimization: Theory and Computations by Matthew Norton et al
10-23-2019	Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation by Rusheng Zhang et al
10-23-2019	Filterbank design for end-to-end speech separation by Manuel Pariente et al
10-23-2019	Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation by Viet Anh Nguyen et al
10-24-2019	Deep 1D-Convnet for accurate Parkinson disease detection from gait by Imanne El Maachi et al
10-23-2019	Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement by Zhiwu Huang et al
10-23-2019	Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning by Anis Elgabli et al
10-24-2019	Learning Domain Invariant Representations for Child-Adult Classification from Speech by Rimita Lahiri et al
10-24-2019	A Survey on Recent Advances in Named Entity Recognition from Deep Learning models by Vikas Yadav et al
10-22-2019	An Efficient EKF Based Algorithm For LSTM-Based Online Learning by N. Mert Vural et al
10-22-2019	Orthogonal variance decomposition based feature selection by Firuz Kamalov
10-24-2019	Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks by Kazuhiro Nakamura et al
10-23-2019	Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem by Chunnan Wang et al
10-22-2019	Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification by Amey Chaware et al

10-23-2019	Large Scale Model Predictive Control with Neural Networks and Primal Active Sets by Steven W. Chen et al
10-22-2019	Two-Step Sound Source Separation: Training on Learned Latent Targets by Efthymios Tzinis et al
10-25-2019	Descriptive Dimensionality and Its Characterization of MDL-based Learning and Change Detection by Kenji Yamanishi
10-24-2019	Delving into VoxCeleb: environment invariant speaker recognition by Joon Son Chung et al
10-24-2019	Conversational Emotion Analysis via Attention Mechanisms by Zheng Lian et al
10-25-2019	Leveraging Legacy Data to Accelerate Materials Design via Preference Learning by Xiaolin Sun et al
10-25-2019	Bias-Variance Tradeoff in a Sliding Window Implementation of the Stochastic Gradient Algorithm by Yakup Ceki Papo
10-22-2019	Learning Resilient Behaviors for Navigation Under Uncertainty Environments by Tingxiang Fan et al
10-23-2019	Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access by Satoshi Takabe et al
10-23-2019	USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity by Amila Silva et al
10-22-2019	A Prototypical Triplet Loss for Cover Detection by Guillaume Doras et al
10-22-2019	Human Action Recognition in Drone Videos using a Few Aerial Training Examples by Waqas Sultani et al
10-22-2019	Compressive Learning for Semi-Parametric Models by Michael P. Sheehan et al
10-22-2019	Robust Training with Ensemble Consensus by Jisoo Lee et al
10-22-2019	Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW) by Mohamed Djallel Dilmi et al
10-22-2019	Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions by Shruti Jadon et al
10-23-2019	GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets by Vishwa Karia et al
10-24-2019	Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations by Jean P. Chereau et al
10-24-2019	Seeing What a GAN Cannot Generate by David Bau et al
10-24-2019	Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling by Filippo Maria Bianchi et al
10-24-2019	Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction by Tu Nguyen
10-25-2019	LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution by Bin Sun et al
10-23-2019	ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors by Ivan Homoliak et al
10-24-2019	Fairness Sample Complexity and the Case for Human Intervention by Ananth Balashankar et al
10-22-2019	Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment by Shuhan Tan et al
10-22-2019	Deja-vu: Double Feature Presentation in Deep Transformer Networks by Andros Tjandra et al
10-22-2019	IPOD: Corpus of 190,000 Industrial Occupations by Junhua Liu et al
10-23-2019	Emergent Properties of Finetuned Language Representation Models by Alexandre Matton et al
10-23-2019	Automatically Batching Control-Intensive Programs for Modern Accelerators by Alexey Radul et al
10-24-2019	A Comparative Study of Neural Network Compression by Hossein Baktash et al
10-22-2019	Neural Network Training with Approximate Logarithmic Computations by Arnab Sanyal et al
10-22-2019	Establishing an Evaluation Metric to Quantify Climate Change Image Realism by Sharon Zhou et al
10-22-2019	Attacking Optical Flow by Anurag Ranjan et al
10-22-2019	Class Mean Vectors, Self Monitoring and Self Learning for Neural Classifiers by Eugene Wong
10-22-2019	Robust Neural Machine Translation for Clean and Noisy Speech Transcripts by Mattia Antonino Di Gangi et al
10-24-2019	Accurate Layerwise Interpretable Competence Estimation by Vickram Rajendran et al
10-25-2019	Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model by Yangxin Lin et al
10-24-2019	Characterization and Development of Average Silhouette Width Clustering by Fatima Batool et al
10-24-2019	Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition by Thejan Rajapakshe et al
10-22-2019	Winning the ICCV 2019 Learning to Drive Challenge by Michael Diodato et al
10-22-2019	Kernel computations from large-scale random features obtained by Optical Processing Units by Ruben Ohana et al
10-23-2019	Context-endcoding for neural network based skull stripping in magnetic resonance imaging by Zhen Liu et al
10-24-2019	Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique by Muhammad Furqan Rafique et al
10-24-2019	Deep topic modeling by multilayer bootstrap network and lasso by Jianyu Wang et al
10-23-2019	Functional Tensors for Probabilistic Programming by Fritz Obermeyer et al
10-24-2019	RoboNet: Large-Scale Multi-Robot Learning by Sudeep Dasari et al
10-23-2019	Speech Emotion Recognition via Contrastive Loss under Siamese Networks by Zheng Lian et al
10-24-2019	Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors by Zeeshan Ahmad et al
10-25-2019	Channel adversarial training for speaker verification and diarization by Chau Luu et al
10-22-2019	Leveraging directed causal discovery to detect latent common causes by Ciarán M. Lee et al
10-24-2019	Structural sparsification for Far-field Speaker Recognition with GNA by Jingchi Zhang et al
10-25-2019	A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification by Jie He et al
10-22-2019	Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI by Alejandro Barredo Arrieta et al
10-25-2019	Fast Structured Decoding for Sequence Models by Zhiqing Sun et al
10-25-2019	On the Cross-lingual Transferability of Monolingual Representations by Mikel Artetxe et al
10-25-2019	Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters by Kaifeng Bi et al
10-24-2019	U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging by Mathias Perslev et al
10-22-2019	Improving the Gating Mechanism of Recurrent Neural Networks by Albert Gu et al
10-24-2019	Mirror Natural Evolution Strategies by Haishan Ye et al
10-24-2019	Causal inference for climate change events from satellite image time series using computer vision and deep learning by Vikas Ramachandra
10-23-2019	High-Confidence Policy Optimization: Reshaping Ambiguity Sets in Robust MDPs by Bahram Behzadian et al
10-23-2019	Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks by Alexander Levine et al
10-23-2019	Hierarchical Transformers for Long Document Classification by Raghavendra Pappagari et al
10-25-2019	Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters by Radmila Janković et al
10-24-2019	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models by Farnam Mansouri et al
10-22-2019	Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output by Vahdat Abdelzad et al
10-23-2019	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer by Colin Raffel et al
10-24-2019	A Note on Our Submission to Track 4 of iDASH 2019 by Marcel Keller et al
10-22-2019	Modeling plate and spring reverberation using a DSP-informed deep neural network by Marco A. Martínez Ramírez et al
10-23-2019	CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems by Mahdi Boloursaz Mashhadi et al
10-22-2019	A Unifying Framework of Bilinear LSTMs by Mohit Rajpal et al
10-25-2019	Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data by Saad Mohamad et al
10-24-2019	Community-Level Anomaly Detection for Anti-Money Laundering by Andra Baltoiu et al
10-22-2019	Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics by Kuangen Zhang et al
10-22-2019	Complex Transformer: A Framework for Modeling Complex-Valued Sequence by Muqiao Yang et al
10-23-2019	Learning Q-network for Active Information Acquisition by Heejin Jeong et al
10-22-2019	Abnormal Client Behavior Detection in Federated Learning by Suyi Li et al
10-23-2019	Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules by Benjamin Sanchez-Lengeling et al
10-23-2019	Feature Selection and Extraction for Graph Neural Networks by Deepak Bhaskar Acharya et al
10-22-2019	Cross-task pre-training for acoustic scene classification by Ruixiong Zhang et al
10-23-2019	Network2Vec Learning Node Representation Based on Space Mapping in Networks by Huang Zhenhua et al
10-22-2019	Online Meta-Learning on Non-convex Setting by Zhenxun Zhuang et al
10-22-2019	Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge by Antonia Lovjer et al
10-24-2019	Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency by Tristan Hascoet et al
10-24-2019	Vision-Infused Deep Audio Inpainting by Hang Zhou et al
10-22-2019	Image processing in DNA by Chao Pan et al
10-23-2019	Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification by Xiaochen Hou et al
10-23-2019	An Adaptive Empirical Bayesian Method for Sparse Deep Learning by Wei Deng et al
10-23-2019	We Know Where We Dont Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations by Tyler LaBonte et al
10-23-2019	Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems by Oscar Leong et al
10-23-2019	BanditRank: Learning to Rank Using Contextual Bandits by Phanideep Gampa et al
10-25-2019	Self-supervised Moving Vehicle Tracking with Stereo Sound by Chuang Gan et al
10-24-2019	Extending Event Detection to New Types with Learning from Keywords by Viet Dac Lai et al
10-24-2019	Structured Prediction with Projection Oracles by Mathieu Blondel
10-23-2019	Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation by Fabio Pizzati et al
10-23-2019	Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data by Sophie Giffard-Roisin et al
10-25-2019	Convergence Analysis of the Randomized Newton Method with Determinantal Sampling by Mojmír Mutný et al
10-25-2019	Metric Classification Network in Actual Face Recognition Scene by Jian Li et al
10-23-2019	A Useful Taxonomy for Adversarial Robustness of Neural Networks by Leslie N. Smith
10-22-2019	Better Approximate Inference for Partial Likelihood Models with a Latent Structure by Amrith Setlur et al
10-25-2019	Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach by Hoang Duy Trinh et al
10-25-2019	Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets by Esma Balkir et al
10-25-2019	SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection by Anurag Kumar et al
10-25-2019	Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? by Ali Shafahi et al
10-23-2019	Contrastive Representation Distillation by Yonglong Tian et al
10-23-2019	Deterministic tensor completion with hypergraph expanders by Kameron Decker Harris et al
10-23-2019	Deep Classification Network for Monocular Depth Estimation by Azeez Oluwafemi et al
10-23-2019	MLAT: Metric Learning for kNN in Streaming Time Series by Dongmin Park et al
10-23-2019	Strategic Adaptation to Classifiers: A Causal Perspective by John Miller et al
10-24-2019	Fraud Detection in Networks: State-of-the-art by Paul Irofti et al
10-24-2019	Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning by Xin Yao et al
10-23-2019	NER Models Using Pre-training and Transfer Learning for Healthcare by Amogh Kamat Tarcar et al
10-23-2019	Stabilising priors for robust Bayesian deep learning by Felix McGregor et al
10-25-2019	Toward a better trade-off between performance and fairness with kernel-based distribution matching by Flavien Prost et al
10-24-2019	Learning an Uncertainty-Aware Object Detector for Autonomous Driving by Gregory P. Meyer et al
10-23-2019	Graph Representation learning for Audio & Music genre Classification by Shubham Dokania et al
10-22-2019	Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression by Puning Zhao et al
10-25-2019	CrevNet: Conditionally Reversible Video Prediction by Wei Yu et al
10-24-2019	Learning Multi-Human Optical Flow by Anurag Ranjan et al
10-25-2019	Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework by Li Lyna Zhang et al
10-25-2019	A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs by Koyel Mukherjee et al
10-23-2019	EdgeAI: A Vision for Deep Learning in IoT Era by Kartikeya Bhardwaj et al
10-23-2019	Variational Predictive Information Bottleneck by Alexander A. Alemi
10-23-2019	Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving by Rulin Shao et al
10-24-2019	Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations by Cong Fang et al
10-23-2019	Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles by Aditya Modi et al
10-25-2019	An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models by Michael J. Klaiber et al
10-25-2019	MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation by Panagiotis Linardos et al
10-24-2019	Identifying Unknown Instances for Autonomous Driving by Kelvin Wong et al
10-24-2019	Predicting In-game Actions From the Language of NBA Players by Nadav Oved et al
10-23-2019	Towards Fast Displaced Vertex Finding by Kim Albertsson et al
10-23-2019	Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling by Heung-Chang Lee et al
10-23-2019	Diversifying Database Activity Monitoring with Bandits by Hagit Grushka-Cohen et al
10-23-2019	Deep Clustering of Compressed Variational Embeddings by Suya Wu et al