2020.3.16 Learning papers

03-10-2020	Computer Aided Diagnosis for Spitzoid lesions classification using Artificial Intelligence techniques by Abir Belaala et al
03-13-2020	Taylor Expansion Policy Optimization by Yunhao Tang et al
03-10-2020	Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models by Thiernithi Variddhisai et al
03-13-2020	B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data by Liu Yang et al
03-10-2020	PnP-Net: A hybrid Perspective-n-Point Network by Roy Sheffer et al
03-13-2020	Probabilistic Future Prediction for Video Scene Understanding by Anthony Hu et al
03-12-2020	Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization by Chaochao Chen et al
03-13-2020	What Information Does a ResNet Compress? by Luke Nicholas Darlow et al
03-10-2020	An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs by Benedek Rozemberczki et al
03-10-2020	Explore and Exploit with Heterotic Line Bundle Models by Magdalena Larfors et al
03-13-2020	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems by Patrick Knöbelreiter et al
03-11-2020	Online Meta-Critic Learning for Off-Policy Actor-Critic Methods by Wei Zhou et al
03-12-2020	A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds by Mahlagha Sedghi et al
03-12-2020	Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? by Hui Wang et al
03-12-2020	Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations by Ajay Mandlekar et al
03-12-2020	Action for Better Prediction by Bernadette Bucher et al
03-12-2020	Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules by Arjun Balaji et al
03-12-2020	Reinforced Negative Sampling over Knowledge Graph for Recommendation by Xiang Wang et al
03-11-2020	Learning word-referent mappings and concepts from raw inputs by Wai Keen Vong et al
03-11-2020	Learning to Segment 3D Point Clouds in 2D Image Space by Yecheng Lyu et al
03-12-2020	Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft by Christian Scheller et al
03-12-2020	Meta-Learning Initializations for Low-Resource Drug Discovery by Cuong Q. Nguyen et al
03-12-2020	Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems by Sahin Lale et al
03-11-2020	hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition by Ehsan Kharazmi et al
03-11-2020	Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology by Stefan Studer et al
03-12-2020	Learning Algebraic Multigrid Using Graph Neural Networks by Ilay Luz et al
03-10-2020	Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time by Hideaki Imamura et al
03-11-2020	Convolutional Kernel Networks for Graph-Structured Data by Dexiong Chen et al
03-11-2020	Learning Compositional Rules via Neural Program Synthesis by Maxwell I. Nye et al
03-10-2020	Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks by Reza Barazideh et al
03-11-2020	How Powerful Are Randomly Initialized Pointcloud Set Functions? by Aditya Sanghi et al
03-11-2020	Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking by Samuel Broscheit
03-12-2020	LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting by Gregory P. Meyer et al
03-12-2020	Large-Scale Educational Question Analysis with Partial Variational Auto-encoders by Zichao Wang et al
03-10-2020	TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages by Jonathan H. Clark et al
03-10-2020	Addressing multiple metrics of group fairness in data-driven decision making by Marius Miron et al
03-10-2020	Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees by Tung D. Nguyen et al
03-10-2020	Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology by Jiyang Xie et al
03-10-2020	Anomaly Detection in Beehives using Deep Recurrent Autoencoders by Padraig Davidson et al
03-11-2020	Data-based design of stabilizing switching signals for discrete-time switched linear systems by Atreyee Kundu
03-11-2020	A deep belief network-based method to identify proteomic risk markers for Alzheimer disease by Ning An et al
03-11-2020	A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth by Yiping Lu et al
03-10-2020	Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction by Beatrice van Amsterdam et al
03-12-2020	RSSI-Based Hybrid Beamforming Design with Deep Learning by Hamed Hojatian et al
03-11-2020	Memory-efficient Learning for Large-scale Computational Imaging by Michael Kellman et al
03-11-2020	Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints by Qinbo Bai et al
03-10-2020	Integrating Physics-Based Modeling with Machine Learning: A Survey by Jared Willard et al
03-12-2020	Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning by Christopher Zach et al
03-12-2020	Towards a General Theory of Infinite-Width Limits of Neural Classifiers by Eugene A. Golikov
03-12-2020	Needmining: Identifying micro blog data containing customer needs by Niklas Kühl et al
03-13-2020	BIHL:A Fast and High Performance Object Proposals based on Binarized HL Frequency by Jiang Chao et al
03-10-2020	Automated discovery of a robust interatomic potential for aluminum by Justin S. Smith et al
03-13-2020	Automating Botnet Detection with Graph Neural Networks by Jiawei Zhou et al
03-10-2020	Error Estimation for Sketched SVD via the Bootstrap by Miles E. Lopes et al
03-10-2020	Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models by Ki Hyun Tae et al
03-13-2020	Identification of AC Networks via Online Learning by Emanuele Fabbiani et al
03-11-2020	A Benchmark for Systematic Generalization in Grounded Language Understanding by Laura Ruis et al
03-11-2020	Gaussian Graphical Model exploration and selection in high dimension low sample size setting by Thomas Lartigue et al
03-13-2020	Minor Constraint Disturbances for Deep Semi-supervised Learning by Jielei Chu et al
03-12-2020	Statistical and Topological Properties of Sliced Probability Divergences by Kimia Nadjahi et al
03-10-2020	Visual Grounding in Video for Unsupervised Word Translation by Gunnar A. Sigurdsson et al
03-11-2020	Sentiment Analysis with Contextual Embeddings and Self-Attention by Katarzyna Biesialska et al
03-11-2020	Building and Interpreting Deep Similarity Models by Oliver Eberle et al
03-11-2020	Learning Predictive Representations for Deformable Objects Using Contrastive Estimation by Wilson Yan et al
03-10-2020	Communication-efficient Variance-reduced Stochastic Gradient Descent by Hossein S. Ghadikolaei et al
03-11-2020	Delay-Adaptive Learning in Generalized Linear Contextual Bandits by Jose Blanchet et al
03-10-2020	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey by Sanmit Narvekar et al
03-12-2020	SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration by Jun Shi et al
03-10-2020	SUOD: A Scalable Unsupervised Outlier Detection Framework by Yue Zhao et al
03-13-2020	On the effectiveness of convolutional autoencoders on image-based personalized recommender systems by E. Blanco-Mallo et al
03-10-2020	Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data by Yanou Ramon et al
03-13-2020	When are Non-Parametric Methods Robust? by Robi Bhattacharjee et al
03-12-2020	Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling by Tong Che et al
03-13-2020	Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study by Assaf Dauber et al
03-11-2020	General linear-time inference for Gaussian Processes on one dimension by Jackson Loper et al
03-12-2020	Invariant Causal Prediction for Block MDPs by Amy Zhang et al
03-12-2020	Fairness by Learning Orthogonal Disentangled Representations by Mhd Hasan Sarhan et al
03-13-2020	Application of Deep Q-Network in Portfolio Management by Ziming Gao et al
03-11-2020	Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs by Pim de Haan et al
03-10-2020	Communication-Efficient Distributed Deep Learning: A Comprehensive Survey by Zhenheng Tang et al
03-11-2020	Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML by Giuseppe Di Guglielmo et al
03-11-2020	ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition by Song Bian et al
03-12-2020	Learning distributed representations of graphs with Geo2DR by Paul Scherer et al
03-12-2020	On the Convergence of the Dynamic Inner PCA Algorithm by Sungho Shin et al
03-10-2020	Towards Clarifying the Theory of the Deconfounder by Yixin Wang et al
03-12-2020	Predictive Analysis for Detection of Human Neck Postures using a robust integration of kinetics and kinematics by Korupalli V Rajesh Kumar et al
03-13-2020	Estimation of Rate Control Parameters for Video Coding Using CNN by Maria Santamaria et al
03-12-2020	Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation by Hamza Khan et al
03-12-2020	Hyper-Parameter Optimization: A Review of Algorithms and Applications by Tong Yu et al
03-10-2020	Auditing ML Models for Individual Bias and Unfairness by Songkai Xue et al
03-10-2020	Crop Knowledge Discovery Based on Agricultural Big Data Integration by Vuong M. Ngo et al
03-12-2020	Model Agnostic Multilevel Explanations by Karthikeyan Natesan Ramamurthy et al
03-11-2020	BP-DIP: A Backprojection based Deep Image Prior by Jenny Zukerman et al
03-10-2020	Cryptanalytic Extraction of Neural Network Models by Nicholas Carlini et al
03-10-2020	Neural Networks are Surprisingly Modular by Daniel Filan et al
03-12-2020	Topological Effects on Attacks Against Vertex Classification by Benjamin A. Miller et al
03-12-2020	A General Framework for Learning Mean-Field Games by Xin Guo et al
03-10-2020	Differentiate Everything with a Reversible Programming Language by Jin-Guo Liu et al
03-10-2020	Frequency Bias in Neural Networks for Input of Non-Uniform Density by Ronen Basri et al
03-12-2020	Time Series Forecasting Using LSTM Networks: A Symbolic Approach by Steven Elsworth et al
03-11-2020	FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves by Boxin Zhao et al
03-10-2020	Lagrangian Neural Networks by Miles Cranmer et al
03-13-2020	BigGAN-based Bayesian reconstruction of natural images from human brain activity by Kai Qiao et al
03-13-2020	Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach by Qirui Li et al
03-11-2020	Unified Image and Video Saliency Modeling by Richard Droste et al
03-10-2020	Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods by Daniel Otero Baguer et al
03-11-2020	Meta-learning curiosity algorithms by Ferran Alet et al
03-12-2020	Autoencoders by Dor Bank et al
03-12-2020	Efficient Content-Based Sparse Attention with Routing Transformers by Aurko Roy et al
03-10-2020	HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images by Johan Vertens et al
03-12-2020	Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO by Xisuo Ma et al
03-12-2020	Option Discovery in the Absence of Rewards with Manifold Analysis by Amitay Bar et al
03-11-2020	Coordinate-wise Armijos condition: General case by Tuyen Trung Truong
03-13-2020	Balancedness and Alignment are Unlikely in Linear Neural Networks by Adityanarayanan Radhakrishnan et al
03-11-2020	Using machine learning to speed up new and upgrade detector studies: a calorimeter case by F. Ratnikov et al
03-12-2020	Machine Learning on Volatile Instances by Xiaoxi Zhang et al
03-10-2020	ReZero is All You Need: Fast Convergence at Large Depth by Thomas Bachlechner et al
03-13-2020	Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification by Tiehang Duan et al
03-13-2020	Graph Convolutional Topic Model for Data Streams by Linh Ngo Van et al
03-11-2020	Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization by Sudeep Salgia et al
03-10-2020	A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction by Teruki Hayakawa. Masateru Tsunoda et al
03-10-2020	Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning by Dingzhu Wen et al
03-11-2020	Industrial Scale Privacy Preserving Deep Neural Network by Longfei Zheng et al
03-13-2020	Accelerating and Improving AlphaZero Using Population Based Training by Ti-Rong Wu et al
03-13-2020	Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach by Debamita Ghosh et al
03-11-2020	Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems by Dimitrios Boursinos et al
03-10-2020	Tensorized Random Projections by Beheshteh T. Rakhshan et al
03-10-2020	Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance by Ali Anaissi et al
03-11-2020	Fairness by Explicability and Adversarial SHAP Learning by James M. Hickey et al
03-11-2020	Explainable Agents Through Social Cues: A Review by Sebastian Wallkotter et al
03-11-2020	Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches by Naeem Paeedeh et al
03-10-2020	SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks by Bohan Wu et al
03-13-2020	An Evaluation of Change Point Detection Algorithms by Gerrit J. J. van den Burg et al
03-10-2020	ENTMOOT: A Framework for Optimization over Ensemble Tree Models by Alexander Thebelt et al
03-13-2020	Semantic Pyramid for Image Generation by Assaf Shocher et al
03-10-2020	Automatic Curriculum Learning For Deep RL: A Short Survey by Rémy Portelas et al
03-10-2020	Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors by Rituraj Kaushik et al
03-13-2020	Interference and Generalization in Temporal Difference Learning by Emmanuel Bengio et al
03-12-2020	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems by Weijie Zhao et al
03-12-2020	Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding by Hongseok Namkoong et al
03-13-2020	Sparse Graphical Memory for Robust Planning by Michael Laskin et al
03-10-2020	Benchmarking TinyML Systems: Challenges and Direction by Colby R. Banbury et al
03-13-2020	Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zeldovich Effect by Nikhel Gupta et al
03-13-2020	Boosting Frank-Wolfe by Chasing Gradients by Cyrille W. Combettes et al
03-12-2020	Efficient Rule Learning with Template Saturation for Knowledge Graph Completion by Yulong Gu et al
03-10-2020	Topological Machine Learning for Mixed Numeric and Categorical Data by Chengyuan Wu et al
03-11-2020	Kernel Quantization for Efficient Network Compression by Zhongzhi Yu et al
03-10-2020	Ecological Semantics: Programming Environments for Situated Language Understanding by Ronen Tamari et al
03-10-2020	The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective by Stephanie Milani et al
03-12-2020	Fisher Deep Domain Adaptation by Yinghua Zhang et al
03-12-2020	ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems by Jiangnan Li et al
03-12-2020	Analyzing Visual Representations in Embodied Navigation Tasks by Erik Wijmans et al
03-10-2020	Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning by Kenneth Leerbeck et al
03-12-2020	Wasserstein-based Graph Alignment by Hermina Petric Maretic et al
03-12-2020	Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning by Massimo Caccia et al
03-13-2020	Data Set Description: Identifying the Physics Behind an Electric Motor -- Data-Driven Learning of the Electrical Behavior (Part II) by Sören Hanke et al
03-13-2020	BayesFlow: Learning complex stochastic models with invertible neural networks by Stefan T. Radev et al
03-10-2020	Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis by Ophir Gozes et al
03-10-2020	Learning State-Dependent Losses for Inverse Dynamics Learning by Kristen Morse et al
03-10-2020	Pursuing Sources of Heterogeneity in Modeling Clustered Population by Yan Li et al
03-12-2020	Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information by Esther Rolf et al
03-10-2020	Prediction of Bayesian Intervals for Tropical Storms by Max Chiswick et al
03-10-2020	Imputing Missing Boarding Stations With Machine Learning Methods by Nadav Shalit et al
03-10-2020	A Survey of Adversarial Learning on Graphs by Liang Chen et al
03-11-2020	Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees by Taosha Fan et al
03-11-2020	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning by Yuening Li et al
03-13-2020	Equivariant flow-based sampling for lattice gauge theory by Gurtej Kanwar et al
03-11-2020	Estimation of Accurate and Calibrated Uncertainties in Deterministic models by Enrico Camporeale et al
03-12-2020	Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning by Mandana Saebi et al
03-13-2020	Dynamic transformation of prior knowledge intoBayesian models for data streams by Tran Xuan Bach et al
03-10-2020	KALE: When Energy-Based Learning Meets Adversarial Training by Michael Arbel et al