2020.3.2 Learning papers

02-25-2020	(De)Randomized Smoothing for Certifiable Defense against Patch Attacks by Alexander Levine et al
02-25-2020	Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions by Negin Golrezaei et al
02-26-2020	On Leveraging Pretrained GANs for Limited-Data Generation by Miaoyun Zhao et al
02-26-2020	Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently by Ioannis Panageas et al
02-26-2020	Rethinking Bias-Variance Trade-off for Generalization of Neural Networks by Zitong Yang et al
02-26-2020	Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents by Akshay Krishnamurthy et al
02-25-2020	Convex Geometry and Duality of Over-parameterized Neural Networks by Tolga Ergen et al
02-25-2020	EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings by Sarthak et al
02-26-2020	MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency by Seyedramin Rasoulinezhad et al
02-28-2020	Reinforcement Learning in FlipIt by Laura Greige et al
02-26-2020	Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization by Yi Zhou et al
02-26-2020	Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling by C. Kim et al
02-25-2020	On Feature Normalization and Data Augmentation by Boyi Li et al
02-27-2020	Complexity Measures and Features for Times Series classification by Francisco J. Baldán et al
02-25-2020	A Deep Learning Framework for Simulation and Defect Prediction Applied in Microelectronics by Nikolaos Dimitriou et al
02-28-2020	Automatic Perturbation Analysis on General Computational Graphs by Kaidi Xu et al
02-26-2020	Kalman Recursions Aggregated Online by Eric Adjakossa et al
02-26-2020	Evolving Losses for Unsupervised Video Representation Learning by AJ Piergiovanni et al
02-26-2020	Optimistic Exploration even with a Pessimistic Initialisation by Tabish Rashid et al
02-26-2020	Assessing Graph-based Deep Learning Models for Predicting Flash Point by Xiaoyu Sun et al
02-26-2020	Deep Learning for Biomedical Image Reconstruction: A Survey by Hanene Ben Yedder et al
02-28-2020	An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation by Makoto Takamoto et al
02-27-2020	Affinity guided Geometric Semi-Supervised Metric Learning by Ujjal Kr Dutta et al
02-25-2020	Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE) by Yoonmi Hong et al
02-27-2020	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference by Oindrila Saha et al
02-25-2020	The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization by Yifei Min et al
02-28-2020	The Implicit and Explicit Regularization Effects of Dropout by Colin Wei et al
02-28-2020	First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions by Krishna Reddy Kesari et al
02-28-2020	Applying Tensor Decomposition to image for Robustness against Adversarial Attack by Seungju Cho et al
02-26-2020	Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization by Geoffrey Négiar et al
02-26-2020	GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering by Chuang Niu et al
02-25-2020	G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning by Matthew Dixon et al
02-25-2020	Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction by Danushka Bollegala et al
02-25-2020	Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers by Serge Kas Hanna et al
02-27-2020	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments by Roberta Raileanu et al
02-27-2020	High-Dimensional Feature Selection for Genomic Datasets by Majid Afshar et al
02-27-2020	Learning in Markov Decision Processes under Constraints by Rahul Singh et al
02-26-2020	Off-Policy Evaluation and Learning for External Validity under a Covariate Shift by Masahiro Kato et al
02-27-2020	Theoretical Models of Learning to Learn by Jonathan Baxter
02-26-2020	Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network by Jalpa Shah et al
02-25-2020	Missing Data Imputation for Classification Problems by Arkopal Choudhury et al
02-26-2020	PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models by Yinjun Wu et al
02-27-2020	Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC by Eric Brachmann et al
02-28-2020	Self-Tuning Deep Reinforcement Learning by Tom Zahavy et al
02-25-2020	Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures by Alex Luedtke et al
02-25-2020	Learning Product Graphs Underlying Smooth Graph Signals by Muhammad Asad Lodhi et al
02-25-2020	DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures by Yang Zhao et al
02-25-2020	Teaching the Old Dog New Tricks: Supervised Learning with Constraints by Fabrizio Detassis et al
02-25-2020	Attacks Which Do Not Kill Training Make Adversarial Learning Stronger by Jingfeng Zhang et al
02-26-2020	Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image by Taewon Kim et al
02-26-2020	State-only Imitation with Transition Dynamics Mismatch by Tanmay Gangwani et al
02-26-2020	Optimality and Stability in Non-Convex-Non-Concave Min-Max Optimization by Guojun Zhang et al
02-28-2020	A Big Data Enabled Channel Model for 5G Wireless Communication Systems by Jie Huang et al
02-27-2020	Deep Randomized Neural Networks by Claudio Gallicchio et al
02-26-2020	Generalized Hindsight for Reinforcement Learning by Alexander C. Li et al
02-26-2020	Graphcore C2 Card performance for image-based deep learning application: A Report by Ilyes Kacher et al
02-28-2020	Exploring and Distilling Cross-Modal Information for Image Captioning by Fenglin Liu et al
02-28-2020	Introducing a Human-like Planner for Reaching in Cluttered Environments by Mohamed Hasan et al
02-26-2020	CLARA: Clinical Report Auto-completion by Siddharth Biswal et al
02-25-2020	Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration by Anji Liu et al
02-25-2020	Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees by Richeng Jin et al
02-28-2020	The estimation error of general first order methods by Michael Celentano et al
02-28-2020	Quantile Regularization: Towards Implicit Calibration of Regression Models by Saiteja Utpala et al
02-25-2020	Forming Diverse Teams from Sequentially Arriving People by Faez Ahmed et al
02-25-2020	Can speed up the convergence rate of stochastic gradient methods to O(1/k2)O(1/k2) by a gradient averaging strategy? by Xin Xu et al
02-25-2020	Supervised Categorical Metric Learning with Schatten p-Norms by Xuhui Fan et al
02-25-2020	Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back by Takahiro Yoshida et al
02-26-2020	Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers by Zhuohan Li et al
02-26-2020	Bayesian Nonparametric Space Partitions: A Survey by Xuhui Fan et al
02-25-2020	Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift by Jitin Krishnan et al
02-25-2020	Biased Stochastic Gradient Descent for Conditional Stochastic Optimization by Yifan Hu et al
02-26-2020	Memory-Constrained No-Regret Learning in Adversarial Bandits by Xiao Xu et al
02-26-2020	Disentangling Adaptive Gradient Methods from Learning Rates by Naman Agarwal et al
02-26-2020	Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models by Théo Galy-Fajou et al
02-27-2020	MNN: A Universal and Efficient Inference Engine by Xiaotang Jiang et al
02-27-2020	Imbalance Learning for Variable Star Classification by Zafiirah Hosenie et al
02-27-2020	Tensor network approaches for learning non-linear dynamical laws by A. Goeßmann et al
02-28-2020	Reinforcement Learning through Active Inference by Alexander Tschantz et al
02-27-2020	On the Convergence of Nesterovs Accelerated Gradient Method in Stochastic Settings by Mahmoud Assran et al
02-27-2020	On Biased Compression for Distributed Learning by Aleksandr Beznosikov et al
02-27-2020	MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference by Achille Thin et al
02-28-2020	ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures by Kefan Chen et al
02-27-2020	The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition by Max Ruby et al
02-27-2020	Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs) by Shipu Zhao et al
02-28-2020	Mixed Strategies for Robust Optimization of Unknown Objectives by Pier Giuseppe Sessa et al
02-28-2020	Indoor Scene Recognition in 3D by Shengyu Huang et al
02-25-2020	Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling by Cheng Li et al
02-25-2020	Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale by Nicolas Essis-Breton et al
02-25-2020	Novel Change of Measure Inequalities and PAC-Bayesian Bounds by Yuki Ohnishi et al
02-25-2020	On the regularity and conditioning of low rank semidefinite programs by Lijun Ding et al
02-25-2020	Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0 by Eric Hulburd
02-25-2020	Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework by Qiong Wu et al
02-25-2020	Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction by Stefan Eggenreich et al
02-26-2020	When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning by Xingbo Fu et al
02-25-2020	G\odels Sentence Is An Adversarial Example But Unsolvable by Xiaodong Qi et al
02-25-2020	General Framework for Binary Classification on Top Samples by Lukáš Adam et al
02-26-2020	Decidability of Sample Complexity of PAC Learning in finite setting by Alberto Gandolfi
02-25-2020	Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting by Qiquan Shi et al
02-25-2020	Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization by Aritz D. Martinez et al
02-27-2020	The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers by Hu Ding et al
02-27-2020	ConQUR: Mitigating Delusional Bias in Deep Q-learning by Andy Su et al
02-27-2020	Provable Robust Learning Based on Transformation-Specific Smoothing by Linyi Li et al
02-28-2020	MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment by Florian Bernard et al
02-28-2020	TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing by Ziqing Yang et al
02-28-2020	Causality and Robust Optimization by Akihiro Yabe
02-26-2020	Policy Evaluation Networks by Jean Harb et al
02-25-2020	Device Heterogeneity in Federated Learning: A Superquantile Approach by Yassine Laguel et al
02-27-2020	A Free-Energy Principle for Representation Learning by Yansong Gao et al
02-27-2020	Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers by Yuqi Cui et al
02-28-2020	DROCC: Deep Robust One-Class Classification by Sachin Goyal et al
02-27-2020	Lipschitz and Comparator-Norm Adaptivity in Online Learning by Zakaria Mhammedi et al
02-27-2020	Learning Representations by Predicting Bags of Visual Words by Spyros Gidaris et al
02-26-2020	On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping by Sanghyun Hong et al
02-25-2020	Searching for Winograd-aware Quantized Networks by Javier Fernandez-Marques et al
02-25-2020	Understanding and Mitigating the Tradeoff Between Robustness and Accuracy by Aditi Raghunathan et al
02-25-2020	Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis by Lei Huang et al
02-25-2020	Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank by Matthew Leming et al
02-27-2020	A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs by Karl Øyvind Mikalsen et al
02-26-2020	A general framework for ensemble distribution distillation by Jakob Lindqvist et al
02-26-2020	On Certifying Robustness against Backdoor Attacks via Randomized Smoothing by Binghui Wang et al
02-27-2020	Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? by Xiang Deng et al
02-28-2020	A U-Net Based Discriminator for Generative Adversarial Networks by Edgar Schönfeld et al
02-27-2020	Cautious Reinforcement Learning via Distributional Risk in the Dual Domain by Junyu Zhang et al
02-27-2020	Time Series Data Augmentation for Deep Learning: A Survey by Qingsong Wen et al
02-27-2020	CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles by Meshal Alfarhood et al
02-26-2020	ICE-BeeM: Identifiable Conditional Energy-Based Deep Models by Ilyes Khemakhem et al
02-27-2020	Efficiently Guiding Imitation Learning Algorithms with Human Gaze by Akanksha Saran et al
02-26-2020	A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows by Konstantin Berlin et al
02-27-2020	NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps by Maximilian Seitzer et al
02-26-2020	Fair Learning with Private Demographic Data by Hussein Mozannar et al
02-28-2020	Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture by Aqsa Saeed Qureshi et al
02-27-2020	Woodbury Transformations for Deep Generative Flows by You Lu et al
02-28-2020	Federated Over-the-Air Subspace Learning from Incomplete Data by Praneeth Narayanamurthy et al
02-25-2020	CausalML: Python Package for Causal Machine Learning by Huigang Chen et al
02-26-2020	Lipschitz standardization for robust multivariate learning by Adrián Javaloy et al
02-26-2020	Provable Meta-Learning of Linear Representations by Nilesh Tripuraneni et al
02-25-2020	Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning by Mark A. Rucker et al
02-26-2020	Understanding Self-Training for Gradual Domain Adaptation by Ananya Kumar et al
02-28-2020	Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts by Mahsa Paknezhad et al
02-26-2020	Tensor Decompositions in Deep Learning by Davide Bacciu et al
02-25-2020	Sparse Sinkhorn Attention by Yi Tay et al
02-25-2020	Machine Learning based prediction of noncentrosymmetric crystal materials by Yuqi Song et al
02-25-2020	BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations by Thomas Scialom et al
02-25-2020	MLIR: A Compiler Infrastructure for the End of Moores Law by Chris Lattner et al
02-26-2020	Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems by Erik M. Lindgren et al
02-28-2020	Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network by Hang Yang et al

02-28-2020	Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis by Jennifer Williams et al
02-28-2020	AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning by Jianhong Zhang et al
02-28-2020	Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators by Meyer Scetbon et al
02-28-2020	Do optimization methods in deep learning applications matter? by Buse Melis Ozyildirim et al
02-27-2020	Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes by Tomas Brazdil et al
02-27-2020	Certification of Semantic Perturbations via Randomized Smoothing by Marc Fischer et al
02-28-2020	A Deep Generative Model for Fragment-Based Molecule Generation by Marco Podda et al
02-26-2020	PHS: A Toolbox for Parallel Hyperparameter Search by Peter Michael Habelitz et al
02-26-2020	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks by Zhiqian Chen et al
02-28-2020	Infrared and 3D skeleton feature fusion for RGB-D action recognition by Alban Main de Boissiere et al
02-25-2020	Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data by Marc Finzi et al
02-25-2020	Causal Inference With Selectively-Deconfounded Data by Kyra Gan et al
02-25-2020	Cautious Reinforcement Learning with Logical Constraints by Mohammadhosein Hasanbeig et al
02-26-2020	Overfitting in adversarially robust deep learning by Leslie Rice et al
02-26-2020	Randomization matters. How to defend against strong adversarial attacks by Rafael Pinot et al
02-26-2020	Stagewise Enlargement of Batch Size for SGD-based Learning by Shen-Yi Zhao et al
02-26-2020	Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation by Frederik Harder et al
02-28-2020	Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation by Mikel Artetxe et al
02-25-2020	A Sample Complexity Separation between Non-Convex and Convex Meta-Learning by Nikunj Saunshi et al
02-28-2020	Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data by Sebastian Lunz et al
02-27-2020	Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies by Sampo Kuutti et al
02-27-2020	Prediction of adverse events in Afghanistan: regression analysis of time series data grouped not by geographic dependencies by Krzysztof Fiok et al
02-27-2020	Testing Monotonicity of Machine Learning Models by Arnab Sharma et al
02-27-2020	Handling Position Bias for Unbiased Learning to Rank in Hotels Search by Yinxiao Li
02-27-2020	Utilizing Network Properties to Detect Erroneous Inputs by Matt Gorbett et al
02-27-2020	Improved Image Coding Autoencoder With Deep Learning by Licheng Xiao et al
02-25-2020	FedCoin: A Peer-to-Peer Payment System for Federated Learning by Yuan Liu et al
02-27-2020	PAPRIKA: Private Online False Discovery Rate Control by Wanrong Zhang et al
02-27-2020	Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks by Ioana Bica et al
02-26-2020	Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions by Yi Hao et al
02-27-2020	Learning Multivariate Hawkes Processes at Scale by Maximilian Nickel et al
02-25-2020	Towards an Efficient and General Framework of Robust Training for Graph Neural Networks by Kaidi Xu et al
02-25-2020	Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space by Sandesh Ghimire et al
02-26-2020	Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions by Kumar Abhishek et al
02-28-2020	Probably Approximately Correct Vision-Based Planning using Motion Primitives by Sushant Veer et al
02-25-2020	Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory by Elaina Chai et al
02-26-2020	Improving Robustness of Deep-Learning-Based Image Reconstruction by Ankit Raj et al
02-25-2020	Relaxed Scheduling for Scalable Belief Propagation by Vitaly Aksenov et al
02-25-2020	Information Directed Sampling for Linear Partial Monitoring by Johannes Kirschner et al
02-27-2020	Plannable Approximations to MDP Homomorphisms: Equivariance under Actions by Elise van der Pol et al
02-28-2020	HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression by Rui Lin et al
02-28-2020	Synchronization in 5G: a Bayesian Approach by M. Goodarzi et al
02-25-2020	DLSpec: A Deep Learning Task Exchange Specification by Abdul Dakkak et al
02-27-2020	Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap by Jiacheng Li et al
02-28-2020	Decentralized gradient methods: does topology matter? by Giovanni Neglia et al
02-26-2020	Numerical Solution of Inverse Problems by Weak Adversarial Networks by Gang Bao et al
02-27-2020	Temporal Convolutional Attention-based Network For Sequence Modeling by Hongyan Hao et al
02-27-2020	Generalized Sliced Distances for Probability Distributions by Soheil Kolouri et al
02-25-2020	Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem by Mattia Silvestri et al
02-27-2020	Explainable kk-Means and kk-Medians Clustering by Sanjoy Dasgupta et al
02-26-2020	Representation Learning Through Latent Canonicalizations by Or Litany et al
02-27-2020	A Distributional Framework for Data Valuation by Amirata Ghorbani et al
02-26-2020	The role of regularization in classification of high-dimensional noisy Gaussian mixture by Francesca Mignacco et al
02-27-2020	Compressing Large-Scale Transformer-Based Models: A Case Study on BERT by Prakhar Ganesh et al
02-26-2020	Controllable Level Blending between Games using Variational Autoencoders by Anurag Sarkar et al
02-25-2020	A Theory of Usable Information Under Computational Constraints by Yilun Xu et al
02-27-2020	On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks by Yue Zhao et al
02-25-2020	Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems by Koya Sato et al
02-26-2020	CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting by Pranav Rajpurkar et al
02-25-2020	Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans by Nikolaos Dimitriou et al
02-27-2020	Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval by Z. Gao et al
02-25-2020	Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement by Benjamin Eysenbach et al
02-25-2020	Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training by An Xu et al
02-26-2020	Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy by Aditya Saligrama et al
02-26-2020	Using a thousand optimization tasks to learn hyperparameter search strategies by Luke Metz et al
02-26-2020	Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case by Gaurav N. Shetty et al
02-26-2020	A Visual Communication Map for Multi-Agent Deep Reinforcement Learning by Ngoc Duy Nguyen et al
02-26-2020	Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework by Ngoc Duy Nguyen et al
02-26-2020	Defense-PointNet: Protecting PointNet Against Adversarial Attacks by Yu Zhang et al
02-25-2020	Recalibrating 3D ConvNets with Project & Excite by Anne-Marie Rickmann et al
02-26-2020	Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization by Sicheng Zhu et al
02-25-2020	Max-Affine Spline Insights into Deep Generative Networks by Randall Balestriero et al
02-26-2020	Compact Representation of Uncertainty in Hierarchical Clustering by Craig S. Greenberg et al
02-25-2020	Smoothing Graphons for Modelling Exchangeable Relational Data by Xuhui Fan et al
02-27-2020	Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks by Danijela Horak et al
02-27-2020	DSSLP: A Distributed Framework for Semi-supervised Link Prediction by Dalong Zhang et al
02-27-2020	How Much Can A Retailer Sell? Sales Forecasting on Tmall by Chaochao Chen et al
02-25-2020	Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge by Hung Le et al
02-28-2020	Spectral neighbor joining for reconstruction of latent tree models by Ariel Jaffe et al
02-25-2020	A.I. based Embedded Speech to Text Using Deepspeech by Muhammad Hafidh Firmansyah et al
02-27-2020	Heterogeneous Graph Neural Networks for Malicious Account Detection by Ziqi Liu et al
02-27-2020	An On-Device Federated Learning Approach for Cooperative Anomaly Detection by Rei Ito et al
02-27-2020	Advances in Collaborative Filtering and Ranking by Liwei Wu
02-26-2020	Streaming Active Deep Forest for Evolving Data Stream Classification by Anh Vu Luong et al
02-27-2020	ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images by Usman Sajid et al
02-25-2020	Turning 30: New Ideas in Inductive Logic Programming by Andrew Cropper et al
02-26-2020	LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning by Tianyi Chen et al
02-26-2020	Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization by Zhize Li et al
02-25-2020	Sequence-to-Sequence Imputation of Missing Sensor Data by Joel Janek Dabrowski et al
02-27-2020	Can We Find Near-Approximately-Stationary Points of Nonsmooth Nonconvex Functions? by Ohad Shamir
02-25-2020	A General Method for Robust Learning from Batches by Ayush Jain et al
02-25-2020	Problems with Shapley-value-based explanations as feature importance measures by I. Elizabeth Kumar et al
02-26-2020	Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning by Rohitkumar Arasanipalai et al
02-26-2020	An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments by Javier Naranjo-Alcazar et al
02-26-2020	Gradient Boosted Flows by Robert Giaquinto et al
02-26-2020	Moniqua: Modulo Quantized Communication in Decentralized SGD by Yucheng Lu et al
02-27-2020	Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images by Shuyue Guan et al
02-27-2020	Understanding and Enhancing Mixed Sample Data Augmentation by Ethan Harris et al
02-25-2020	Fundamental Issues Regarding Uncertainties in Artificial Neural Networks by Neil A. Thacker et al
02-27-2020	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth by Vitor Guizilini et al
02-27-2020	The Spectral Underpinning of word2vec by Ariel Jaffe et al
02-26-2020	Invariance vs. Robustness of Neural Networks by Sandesh Kamath et al
02-25-2020	Label-guided Learning for Text Classification by Xien Liu et al
02-27-2020	Adapted tree boosting for Transfer Learning by Wenjing Fang et al
02-27-2020	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods by Daniel Y. Fu et al
02-25-2020	Robust Wireless Fingerprinting: Generalizing Across Space and Time by Metehan Cekic et al
02-25-2020	Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction by Joel Janek Dabrowski et al
02-26-2020	Query-Efficient Correlation Clustering by David García-Soriano et al
02-26-2020	PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds by Sukai Wang et al
02-27-2020	Assembly robots with optimized control stiffness through reinforcement learning by Masahide Oikawa et al
02-26-2020	NeuralSens: Sensitivity Analysis of Neural Networks by J. Pizarroso et al
02-27-2020	Supervised Dimensionality Reduction and Visualization using Centroid-encoder by Tomojit Ghosh et al
02-26-2020	Learning Navigation Costs from Demonstration in Partially Observable Environments by Tianyu Wang et al
02-27-2020	On Catastrophic Interference in Atari 2600 Games by William Fedus et al
02-26-2020	Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization by Nirav Bhavsar et al
02-25-2020	Adversarial Ranking Attack and Defense by Mo Zhou et al
02-27-2020	Uncovering Insurance Fraud Conspiracy with Network Learning by Chen Liang et al
02-26-2020	Fairness-Aware Learning with Prejudice Free Representations by Ramanujam Madhavan et al
02-25-2020	Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? by Alexandru Mara et al
02-25-2020	Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data by Yen-Chang Hsu et al
02-25-2020	Towards Learning a Universal Non-Semantic Representation of Speech by Joel Shor et al
02-25-2020	IoT Device Identification Using Deep Learning by Jaidip Kotak et al
02-27-2020	Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning by Tom Jurgenson et al
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02-28-2020	Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data by Ziang Long et al
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02-27-2020	Provably Efficient Third-Person Imitation from Offline Observation by Aaron Zweig et al
02-25-2020	PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs by Wei Chen et al
02-27-2020	Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures by Jatin Chauhan et al
02-25-2020	An Optimal Statistical and Computational Framework for Generalized Tensor Estimation by Rungang Han et al
02-27-2020	Hallucinative Topological Memory for Zero-Shot Visual Planning by Kara Liu et al
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02-26-2020	A Survey towards Federated Semi-supervised Learning by Yilun Jin et al
02-26-2020	On Learning a Hidden Directed Graph with Path Queries by Mano Vikash Janardhanan et al
02-26-2020	NestedVAE: Isolating Common Factors via Weak Supervision by Matthew J. Vowels et al
02-26-2020	Nonlinear classifiers for ranking problems based on kernelized SVM by Václav Mácha et al
02-26-2020	Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping by Kira Vinogradova et al
02-25-2020	Training Binary Neural Networks using the Bayesian Learning Rule by Xiangming Meng et al
02-25-2020	Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors by Sai Aparna Aketi et al
02-26-2020	The Landscape of Matrix Factorization Revisited by Hossein Valavi et al
02-26-2020	Deep Residual-Dense Lattice Network for Speech Enhancement by Mohammad Nikzad et al
02-26-2020	A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm by Sungwon Han et al
02-25-2020	Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs by Edouard Leurent et al
02-26-2020	ResNets, NeuralODEs and CT-RNNs are Particular Neural Regulatory Networks by Radu Grosu
02-27-2020	Autonomous robotic nanofabrication with reinforcement learning by Philipp Leinen et al
02-27-2020	Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches by Vinorth Varatharasan et al
02-27-2020	Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering by Sumon Kumar Bose et al
02-25-2020	Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs by Sangwoo Mo et al
02-28-2020	Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior by Fahad Shamshad et al
02-28-2020	Learning Directly from Grammar Compressed Text by Yoichi Sasaki et al
02-26-2020	Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey by Sicheng Zhao et al
02-26-2020	Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis by Vidyashankar Sivakumar et al
02-26-2020	Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units by Zhanzhan Cheng et al
02-27-2020	Correlated Feature Selection with Extended Exclusive Group Lasso by Yuxin Sun et al
02-27-2020	LEEP: A New Measure to Evaluate Transferability of Learned Representations by Cuong V. Nguyen et al
02-26-2020	A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification by Ruthvik Vaila et al
02-26-2020	Echo State Neural Machine Translation by Ankush Garg et al
02-26-2020	Ranking a set of objects: a graph based least-square approach by Evgenia Christoforou et al
02-26-2020	Predicting Neural Network Accuracy from Weights by Thomas Unterthiner et al
02-26-2020	DeBayes: a Bayesian method for debiasing network embeddings by Maarten Buyl et al
02-27-2020	Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset by Yuki Suzuki et al
02-27-2020	Auto-Encoding Twin-Bottleneck Hashing by Yuming Shen et al
02-27-2020	Semi-supervised Anomaly Detection on Attributed Graphs by Atsutoshi Kumagai et al
02-27-2020	Online Learning for Active Cache Synchronization by Andrey Kolobov et al
02-27-2020	Transductive Few-shot Learning with Meta-Learned Confidence by Seong Min Kye et al
02-27-2020	Momentum-Net for Low-Dose CT Image Reconstruction by Siqi Ye et al
02-26-2020	Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs by Varun Mannam et al
02-25-2020	Defending against Backdoor Attack on Deep Neural Networks by Hao Cheng et al
02-26-2020	Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes by Jilin Hu et al
02-28-2020	Convolutional Spectral Kernel Learning by Jian Li et al
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