2020.3.8 Learning papers

03-04-2020	The iCub multisensor datasets for robot and computer vision applications by Murat Kirtay et al
03-06-2020	Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification by Rui Zhou
03-04-2020	Metrics and methods for robustness evaluation of neural networks with generative models by Igor Buzhinsky et al
03-04-2020	Neural Enhanced Belief Propagation on Factor Graphs by Victor Garcia Satorras et al
03-05-2020	Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations by Aditya Golatkar et al
03-03-2020	Differentiable Causal Backdoor Discovery by Limor Gultchin et al
03-05-2020	Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty by Yongle Luo et al
03-05-2020	TensorFlow Quantum: A Software Framework for Quantum Machine Learning by Michael Broughton et al
03-05-2020	Learning Complexity of Simulated Annealing by Avrim Blum et al
03-04-2020	Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation by Lukas J. Fiderer et al
03-05-2020	Fact Check-Worthiness Detection as Positive Unlabelled Learning by Dustin Wright et al
03-06-2020	Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization by Patrick Hart et al
03-04-2020	Comparing Rewinding and Fine-tuning in Neural Network Pruning by Alex Renda et al
03-06-2020	Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer by Shubham Goswami et al
03-06-2020	Active Model Estimation in Markov Decision Processes by Jean Tarbouriech et al
03-04-2020	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap by Tae Jin Park et al
03-03-2020	SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification by Changzeng Fu et al
03-05-2020	Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder by Zhisheng Xiao et al
03-03-2020	XGPT: Cross-modal Generative Pre-Training for Image Captioning by Qiaolin Xia et al
03-03-2020	A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration by Sen Liu et al
03-03-2020	Privacy-preserving Learning via Deep Net Pruning by Yangsibo Huang et al
03-03-2020	Type I Attack for Generative Models by Chengjin Sun et al
03-06-2020	DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation by Kshitij Tiwari et al
03-05-2020	Permute to Train: A New Dimension to Training Deep Neural Networks by Yushi Qiu et al
03-04-2020	Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks by Paul A. Parker et al
03-03-2020	Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts by Natalie Best et al
03-05-2020	Combating noisy labels by agreement: A joint training method with co-regularization by Hongxin Wei et al
03-05-2020	Novel Edge and Density Metrics for Link Cohesion by Cetin Savkli et al
03-05-2020	Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions by Guanya Shi et al
03-06-2020	Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles by Evgenii Tsymbalov et al
03-06-2020	Pixel-Level Self-Paced Learning for Super-Resolution by W. Lin et al
03-06-2020	Defense against adversarial attacks on spoofing countermeasures of ASV by Haibin Wu et al
03-05-2020	Exploiting Verified Neural Networks via Floating Point Numerical Error by Kai Jia et al
03-03-2020	Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection by Jaewoo Park et al
03-03-2020	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? by Kei Ota et al
03-03-2020	Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables by Weonyoung Joo et al
03-04-2020	On the Convergence of Adam and Adagrad by Alexandre Défossez et al
03-03-2020	Safeguarded Learned Convex Optimization by Howard Heaton et al
03-03-2020	Ising-based Consensus Clustering on Specialized Hardware by Eldan Cohen et al
03-03-2020	MoVi: A Large Multipurpose Motion and Video Dataset by Saeed Ghorbani et al
03-04-2020	Knowledge Graphs by Aidan Hogan et al
03-04-2020	Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks by Jason L. Granstedt et al
03-06-2020	Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning by Rui Zhou et al
03-04-2020	Maximal Causes for Exponential Family Observables by S. Hamid Mousavi et al
03-04-2020	The large learning rate phase of deep learning: the catapult mechanism by Aitor Lewkowycz et al
03-04-2020	On Hyper-parameter Tuning for Stochastic Optimization Algorithms by Haotian Zhang et al
03-04-2020	Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network by Joost van Amersfoort et al
03-06-2020	Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images by Jevgenij Gamper et al
03-05-2020	Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep by Behnood Rasti et al
03-03-2020	Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion by Julian Chibane et al
03-04-2020	Colored Noise Injection for Training Adversarially Robust Neural Networks by Evgenii Zheltonozhskii et al
03-05-2020	Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation by Min-Hung Chen et al
03-06-2020	Trends and Advancements in Deep Neural Network Communication by Felix Sattler et al
03-04-2020	EPINE: Enhanced Proximity Information Network Embedding by Luoyi Zhang et al
03-06-2020	When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs) by Victor Villena-Martinez et al
03-06-2020	Federated Continual Learning with Adaptive Parameter Communication by Jaehong Yoon et al
03-03-2020	CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution by Ziling Wu et al
03-03-2020	Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback by Jiawei Chen et al
03-04-2020	Double Backpropagation for Training Autoencoders against Adversarial Attack by Chengjin Sun et al
03-04-2020	Optimal Regularization Can Mitigate Double Descent by Preetum Nakkiran et al
03-05-2020	Non-stationary neural network for stock return prediction by Steven Y. K. Wong et al
03-04-2020	DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets by Yonghyun Jeong et al
03-04-2020	Robust Perceptual Night Vision in Thermal Colorization by Feras Almasri et al
03-04-2020	TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes by Gurpreet Singh et al
03-05-2020	Stochastic Linear Contextual Bandits with Diverse Contexts by Weiqiang Wu et al
03-06-2020	Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages by Astik Biswas et al
03-04-2020	Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks by Ethan Fetaya et al
03-04-2020	Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices by Byung Hoon Ahn et al
03-03-2020	Explaining Groups of Points in Low-Dimensional Representations by Gregory Plumb et al
03-03-2020	Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path by Kei Ota et al
03-05-2020	Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks by Felix Last et al
03-06-2020	Quality of Word Embeddings on Sentiment Analysis Tasks by Erion Çano et al
03-03-2020	Understanding the Prediction Mechanism of Sentiments by XAI Visualization by Chaehan So
03-04-2020	Black-box Smoothing: A Provable Defense for Pretrained Classifiers by Hadi Salman et al
03-05-2020	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance by Cen Chen et al
03-04-2020	The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study by Masood S. Mortazavi et al
03-03-2020	ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search by XuZhang et al
03-05-2020	Neural networks approach for mammography diagnosis using wavelets features by Essam A. Rashed et al
03-05-2020	Drone Based RGBT Vehicle Detection and Counting: A Challenge by Pengfei Zhu et al
03-03-2020	An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles by Niklas Åkerblom et al
03-03-2020	ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions by Brijen Thananjeyan et al
03-06-2020	A Bayesian algorithm for retrosynthesis by Zhongliang Guo et al
03-05-2020	SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives by Emmanouil Angelis et al
03-04-2020	Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor by Andrea Tagliabue et al
03-04-2020	Reduced Dilation-Erosion Perceptron for Binary Classification by Marcos Eduardo Valle
03-06-2020	Finding online neural update rules by learning to remember by Karol Gregor
03-06-2020	Directional Message Passing for Molecular Graphs by Johannes Klicpera et al
03-04-2020	Multiclass classification by sparse multinomial logistic regression by Felix Abramovich et al
03-03-2020	Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification by Muhammad Nabeel Asim et al
03-05-2020	Communication Optimization Strategies for Distributed Deep Learning: A Survey by Shuo Ouyang et al
03-03-2020	Theoretical Understanding of Batch-normalization: A Markov Chain Perspective by Hadi Daneshmand et al
03-04-2020	Application of Deep Neural Networks to assess corporate Credit Rating by Parisa Golbayani et al
03-05-2020	Flexible Bayesian Nonlinear Model Configuration by Aliaksandr Hubin et al
03-03-2020	Untangling in Invariant Speech Recognition by Cory Stephenson et al
03-05-2020	Individual Claims Forecasting with Bayesian Mixture Density Networks by Kevin Kuo
03-03-2020	Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets by Shanchao Yang et al
03-03-2020	Nonlinear Functional Output Regression: a Dictionary Approach by Dimitri Bouche et al
03-03-2020	Embodied Synaptic Plasticity with Online Reinforcement learning by Jacques Kaiser et al
03-03-2020	Scalable Distributed Approximation of Internal Measures for Clustering Evaluation by Federico Altieri et al
03-04-2020	Real-time Federated Evolutionary Neural Architecture Search by Hangyu Zhu et al
03-04-2020	Taking a hint: How to leverage loss predictors in contextual bandits? by Chen-Yu Wei et al
03-04-2020	PushNet: Efficient and Adaptive Neural Message Passing by Julian Busch et al
03-03-2020	Robust Market Making via Adversarial Reinforcement Learning by Thomas Spooner et al
03-03-2020	Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks by Juno V. Saraiva et al
03-03-2020	Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principles by Kyle Sprague et al
03-06-2020	Transfer Learning for Information Extraction with Limited Data by Minh-Tien Nguyen et al
03-05-2020	BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward by Florian Schmidt et al
03-06-2020	Triple Memory Networks: a Brain-Inspired Method for Continual Learning by Liyuan Wang et al
03-06-2020	Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? by Yu Zhang et al
03-04-2020	Deep Joint Transmission-Recognition for Power-Constrained IoT Devices by Mikolaj Jankowski et al
03-03-2020	Volumetric landmark detection with a multi-scale shift equivariant neural network by Tianyu Ma et al
03-03-2020	Automatic Differentiation Variational Inference with Mixtures by Warren R. Morningstar et al
03-05-2020	Does label smoothing mitigate label noise? by Michal Lukasik et al
03-05-2020	LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew by Cyrus Rashtchian et al
03-03-2020	Hybrid modeling: Applications in real-time diagnosis by Ion Matei et al
03-03-2020	Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning by Haozhe Wang et al
03-04-2020	Transformation Importance with Applications to Cosmology by Chandan Singh et al
03-04-2020	Unbiased variable importance for random forests by Markus Loecher
03-03-2020	Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study by Grzegorz Dudek et al
03-03-2020	End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning by Sangwoo Park et al
03-06-2020	Improving Neural Named Entity Recognition with Gazetteers by Chan Hee Song et al
03-05-2020	Cross-GCN: Enhancing Graph Convolutional Network with kk-Order Feature Interactions by Fuli Feng et al
03-03-2020	Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments by Li Sun et al
03-04-2020	Variational Auto-Encoder: not all failures are equal by Michele Sebag et al
03-04-2020	Learning to Hash with Graph Neural Networks for Recommender Systems by Qiaoyu Tan et al
03-04-2020	Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems by Ziqi Wang et al
03-03-2020	Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks by Francesco Croce et al
03-03-2020	Robust data encodings for quantum classifiers by Ryan LaRose et al
03-05-2020	Linear time dynamic programming for the exact path of optimal models selected from a finite set by Toby Hocking et al
03-05-2020	DANTE: A framework for mining and monitoring darknet traffic by Dvir Cohen et al
03-05-2020	Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks by Sourjya Roy et al
03-05-2020	Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis by Igor V. Tetko et al
03-04-2020	Turbulence Enrichment using Physics-informed Generative Adversarial Networks by Akshay Subramaniam et al
03-04-2020	Odds-Ratio Thompson Sampling to Control for Time-Varying Effect by Sulgi Kim et al
03-04-2020	Data Augmentation using Pre-trained Transformer Models by Varun Kumar et al
03-04-2020	Mixup Regularization for Region Proposal based Object Detectors by Shahine Bouabid et al
03-04-2020	Unity Style Transfer for Person Re-Identification by Chong Liu et al
03-04-2020	Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning by Christopher H. Bennett et al
03-04-2020	Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty by Nicholas Galioto et al
03-04-2020	VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge by Jiale Chen et al
03-05-2020	Centrality Graph Convolutional Networks for Skeleton-based Action Recognition by Dong Yang et al
03-04-2020	Contrastive estimation reveals topic posterior information to linear models by Christopher Tosh et al
03-06-2020	A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients by Edward T. Moseley et al
03-06-2020	Deep Active Inference for Autonomous Robot Navigation by Ozan Çatal et al
03-05-2020	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference by Tianyu Liu et al
03-05-2020	Recognition of Smoking Gesture Using Smart Watch Technology by Casey A. Cole et al
03-03-2020	Analyzing Accuracy Loss in Randomized Smoothing Defenses by Yue Gao et al
03-03-2020	VQ-DRAW: A Sequential Discrete VAE by Alex Nichol
03-03-2020	Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery by Zepeng Huo et al
03-03-2020	Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters by Bozhou Chen et al
03-03-2020	Evaluation Framework For Large-scale Federated Learning by Lifeng Liu et al
03-05-2020	Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits by Aurélien F. Bibaut et al
03-04-2020	Corruption-Tolerant Gaussian Process Bandit Optimization by Ilija Bogunovic et al
03-04-2020	Foreground model recognition through Neural Networks for CMB B-mode observations by Farida Farsian et al

03-05-2020	Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective by Min Gao et al
03-03-2020	MOTS: Minimax Optimal Thompson Sampling by Tianyuan Jin et al
03-03-2020	A3A3: Activation Anomaly Analysis by Philip Sperl et al
03-03-2020	Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation by Marco Morucci et al
03-05-2020	Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning by Zheng Wang et al
03-04-2020	StochasticRank: Global Optimization of Scale-Free Discrete Functions by Aleksei Ustimenko et al
03-06-2020	Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study by Zhibin Zhao et al
03-03-2020	Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding by Victor Veitch et al
03-05-2020	Knot Selection in Sparse Gaussian Processes with a Variational Objective by Nathaniel Garton et al
03-05-2020	An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate by Lucas Nunes Sequeira et al
03-06-2020	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning by Yifan Zhang et al
03-03-2020	FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors by Jie Liu et al
03-03-2020	Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack by Takami Sato et al
03-06-2020	Can ML predict the solution value for a difficult combinatorial problem? by Constantine Goulimis et al
03-03-2020	Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns by Alessandro Nuara et al
03-05-2020	What went wrong and when? Instance-wise Feature Importance for Time-series Models by Sana Tonekaboni et al
03-05-2020	Bayesian Domain Randomization for Sim-to-Real Transfer by Fabio Muratore et al
03-03-2020	Curriculum By Texture by Samarth Sinha et al
03-03-2020	Deep Learning Approach to Diabetic Retinopathy Detection by Borys Tymchenko et al
03-05-2020	Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family by Frank Nielsen et al
03-04-2020	Bandits with adversarial scaling by Thodoris Lykouris et al
03-05-2020	Factorized Graph Representations for Semi-Supervised Learning from Sparse Data by Krishna Kumar P. et al
03-05-2020	RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System by Helena H. Lee et al
03-04-2020	Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited by Wesley J. Maddox et al
03-05-2020	SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks by Qitao Shi et al
03-05-2020	Detection and Recovery of Adversarial Attacks with Injected Attractors by Jiyi Zhang et al
03-04-2020	On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks by Xiangrui Li et al
03-03-2020	Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection by Mao Ye et al
03-03-2020	Graphon Pooling in Graph Neural Networks by Alejandro Parada-Mayorga et al
03-05-2020	Toward Adaptive Guidance: Modeling the Variety of User Behaviors in Continuous-Skill-Improving Experiences of Machine Operation Tasks by Long-fei Chen et al
03-03-2020	Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning by Stefan Bluecher et al
03-06-2020	Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations by Simone Rossi et al
03-03-2020	Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions by Kamiar Rahnama Rad et al
03-05-2020	Path Planning Using Probability Tensor Flows by Francesco A. N. Palmieri et al
03-03-2020	DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis by Mingxuan Yue et al
03-03-2020	DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos by Priyanto Hidayatullah et al
03-04-2020	A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder by Chen Feng et al
03-05-2020	Tatistical Context-Dependent Units Boundary Correction for Corpus-based Unit-Selection Text-to-Speech by Claudio Zito et al
03-05-2020	PAC-Bayesian Meta-learning with Implicit Prior by Cuong Nguyen et al
03-03-2020	Scaling MAP-Elites to Deep Neuroevolution by Cédric Colas et al
03-04-2020	Exploration-Exploitation in Constrained MDPs by Yonathan Efroni et al
03-05-2020	Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel by Tae-Eon Park et al
03-05-2020	Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications by Chinthaka Gamanayake et al
03-05-2020	Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data by Kazi Nazmul Haque et al
03-04-2020	Deterministic Decoding for Discrete Data in Variational Autoencoders by Daniil Polykovskiy et al
03-06-2020	Traffic Signs Detection and Recognition System using Deep Learning by Pavly Salah Zaki et al
03-05-2020	Accelerator-aware Neural Network Design using AutoML by Suyog Gupta et al
03-03-2020	Model Assertions for Monitoring and Improving ML Models by Daniel Kang et al
03-05-2020	LAQP: Learning-based Approximate Query Processing by Meifan Zhang et al
03-05-2020	Distributional Robustness and Regularization in Reinforcement Learning by Esther Derman et al
03-03-2020	Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning by Witold Wydmański et al
03-06-2020	SimLoss: Class Similarities in Cross Entropy by Konstantin Kobs et al
03-03-2020	Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN by Hao Wu et al
03-03-2020	Self-Supervised Object-Level Deep Reinforcement Learning by William Agnew et al
03-04-2020	Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs by Huy Hoang Nguyen et al
03-04-2020	Gaussianization Flows by Chenlin Meng et al
03-05-2020	Robustness Guarantees for Mode Estimation with an Application to Bandits by Aldo Pacchiano et al
03-06-2020	No Regret Sample Selection with Noisy Labels by N. Mitsuo et al
03-03-2020	Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data by Priya Sundaresan et al
03-03-2020	Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error by Yusuke Hayashi et al
03-04-2020	Forecasting Sequential Data using Consistent Koopman Autoencoders by Omri Azencot et al
03-04-2020	Neural Kernels Without Tangents by Vaishaal Shankar et al
03-03-2020	Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition by Jens Bayer et al
03-03-2020	BATS: Binary ArchitecTure Search by Adrian Bulat et al
03-05-2020	A Neuro-AI Interface for Evaluating Generative Adversarial Networks by Zhengwei Wang et al
03-05-2020	Talking-Heads Attention by Noam Shazeer et al
03-04-2020	mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder by Feng Jin et al
03-05-2020	A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation by Jian Liang et al
03-05-2020	Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning by Byungsoo Ko et al
03-05-2020	On the performance of deep learning models for time series classification in streaming by Pedro Lara-Benítez et al
03-05-2020	A new approach in model selection for ordinal target variables by Elena Ballante et al
03-05-2020	A Geometric Perspective on Visual Imitation Learning by Jun Jin et al
03-06-2020	Weight Priors for Learning Identity Relations by Kopparti Radha et al
03-05-2020	AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture by Cong Tri Pham et al
03-05-2020	Practical Privacy Preserving POI Recommendation by Chaochao Chen et al
03-03-2020	On Emergent Communication in Competitive Multi-Agent Teams by Paul Pu Liang et al
03-03-2020	Hierarchically Decoupled Imitation for Morphological Transfer by Donald J. Hejna et al
03-03-2020	Model Selection in Contextual Stochastic Bandit Problems by Aldo Pacchiano et al
03-03-2020	Contextual Search for General Hypothesis Classes by Allen Liu et al
03-05-2020	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model by Chaochao Chen et al
03-06-2020	What is the State of Neural Network Pruning? by Davis Blalock et al
03-05-2020	Adversarial Robustness Through Local Lipschitzness by Yao-Yuan Yang et al
03-03-2020	On the rate of convergence of image classifiers based on convolutional neural networks by M. Kohler et al
03-05-2020	Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise by Sergio González et al
03-05-2020	EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems by Rohola Zandie et al
03-04-2020	ViCE: Visual Counterfactual Explanations for Machine Learning Models by Oscar Gomez et al
03-03-2020	3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks by Katia Lupinetti et al
03-03-2020	q-VAE for Disentangled Representation Learning and Latent Dynamical Systems by Taisuke Kobayashi
03-05-2020	Adaptive Prediction Timing for Electronic Health Records by Jacob Deasy et al
03-04-2020	Dynamic Experience Replay by Jieliang Luo et al
03-04-2020	Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels by Naifu Zhang et al
03-03-2020	Single-exposure absorption imaging of ultracold atoms using deep learning by Gal Ness et al
03-06-2020	TaskNorm: Rethinking Batch Normalization for Meta-Learning by John Bronskill et al
03-04-2020	Threats to Federated Learning: A Survey by Lingjuan Lyu et al
03-03-2020	Self-Supervised Graph Representation Learning via Global Context Prediction by Zhen Peng et al
03-03-2020	SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks by Karim Guirguis et al