2020.11.30 Learning papers

11-25-2020	Towards Playing Full MOBA Games with Deep Reinforcement Learning by Deheng Ye et al
11-27-2020	Navigating the GAN Parameter Space for Semantic Image Editing by Anton Cherepkov et al
11-24-2020	Benchmarking Image Retrieval for Visual Localization by Noé Pion et al
11-24-2020	MicroNet: Towards Image Recognition with Extremely Low FLOPs by Yunsheng Li et al
11-24-2020	Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs by Cheng Wang et al
11-24-2020	Energy-Based Models for Continual Learning by Shuang Li et al
11-24-2020	Adversarial Generation of Continuous Images by Ivan Skorokhodov et al
11-24-2020	GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields by Michael Niemeyer et al
11-26-2020	Generative Learning of Heterogeneous Tail Dependence by Xiangqian Sun et al
11-24-2020	Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning by Aneesh Pappu et al
11-24-2020	Safely Learning Dynamical Systems from Short Trajectories by Amir Ali Ahmadi et al
11-25-2020	Learning sparse structures for physics-inspired compressed sensing by Clément Dorffer et al
11-27-2020	Skill Transfer via Partially Amortized Hierarchical Planning by Kevin Xie et al
11-24-2020	Effect of barren plateaus on gradient-free optimization by Andrew Arrasmith et al
11-24-2020	Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information by Prathamesh Mayekar et al
11-25-2020	Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications by Lars Lien Ankile et al
11-25-2020	Batch Normalization Embeddings for Deep Domain Generalization by Mattia Segu et al
11-24-2020	SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries by Xirong Li et al
11-26-2020	A Survey of Deep Learning Approaches for OCR and Document Understanding by Nishant Subramani et al
11-26-2020	Generalization in Reinforcement Learning by Soft Data Augmentation by Nicklas Hansen et al
11-27-2020	Deep Reinforcement Learning for Wireless Scheduling with Multiclass Services by Apostolos Avranas et al
11-27-2020	TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game by Lei Han et al
11-24-2020	Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems by Youbang Sun et al
11-24-2020	AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders by Alex Glushkovsky
11-24-2020	On the Adversarial Robustness of 3D Point Cloud Classification by Jiachen Sun et al
11-25-2020	Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning by Sanghwa Lee et al
11-26-2020	Better Knowledge Retention through Metric Learning by Ke Li et al
11-24-2020	Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation by Ali Babolhavaeji et al
11-24-2020	SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration by Sheng Ao et al
11-26-2020	3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer by Mattia Segu et al
11-27-2020	Image Generators with Conditionally-Independent Pixel Synthesis by Ivan Anokhin et al
11-25-2020	Omni-GAN: On the Secrets of cGANs and Beyond by Peng Zhou et al
11-24-2020	Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data by Hao Xu et al
11-25-2020	Predicting S&P500 Index direction with Transfer Learning and a Causal Graph as main Input by Djoumbissie David Romain
11-27-2020	Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint by Aditya Jyoti Paul et al
11-26-2020	Reinforcement Learning for Robust Missile Autopilot Design by Bernardo Cortez
11-25-2020	Ax-BxP: Approximate Blocked Computation for Precision-Reconfigurable Deep Neural Network Acceleration by Reena Elangovan et al
11-25-2020	FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge by Bichen Wu et al
11-24-2020	Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road by Xiupeng Shi et al
11-24-2020	Efficient Sampling for Predictor-Based Neural Architecture Search by Lukas Mauch et al
11-24-2020	A Reusable Framework Based on Reinforcement Learning to Design Antennas for Curved Surfaces by Enrique Lizarraga et al
11-24-2020	Tight Integrated End-to-End Training for Cascaded Speech Translation by Parnia Bahar et al
11-26-2020	Interactive Machine Learning of Musical Gesture by Federico Ghelli Visi et al
11-24-2020	DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network by Junyou He et al
11-27-2020	SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images by Mingfu Xue et al
11-26-2020	PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network by Zhiyao Xie et al
11-26-2020	Transformation Driven Visual Reasoning by Xin Hong et al
11-27-2020	Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning by Soheil Khatibi et al
11-24-2020	Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation by Nina Lukashina et al
11-25-2020	Learning to Infer Shape Programs Using Latent Execution Self Training by Homer Walke et al
11-26-2020	Regularization with Latent Space Virtual Adversarial Training by Genki Osada et al
11-26-2020	TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation by Chun-Hsing Lin et al
11-24-2020	Provably-Robust Runtime Monitoring of Neuron Activation Patterns by Chih-Hong Cheng
11-24-2020	Code Search Intent Classification Using Weak Supervision by Nikitha Rao et al
11-27-2020	Deep Learning for Classical Mechanics by Mugeon Song et al
11-24-2020	Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes by Heejune Sheen et al
11-27-2020	Unsupervised part representation by Flow Capsules by Sara Sabour et al
11-24-2020	Provably robust blind source separation of linear-quadratic near-separable mixtures by Christophe Kervazo et al
11-27-2020	A survey of benchmarking frameworks for reinforcement learning by Belinda Stapelberg et al
11-27-2020	Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles by Arash Hooshmand
11-26-2020	Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition by Zhen Huang et al
11-27-2020	CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method by Leili Zhang et al
11-26-2020	FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning by Zhiyao Xie et al
11-25-2020	Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning by Jingfeng Wu et al
11-24-2020	Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid by Parnia Bahar et al
11-24-2020	Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON) by Srinivasan Sridharan
11-26-2020	Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning by Matheus R. F. Mendonça et al
11-27-2020	Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient by Yekyung Kim
11-24-2020	Classification supporting COVID-19 diagnostics based on patient survey data by Joanna Henzel et al
11-26-2020	t-EVA: Time-Efficient t-SNE Video Annotation by Soroosh Poorgholi et al
11-26-2020	Robust Attacks on Deep Learning Face Recognition in the Physical World by Meng Shen et al
11-24-2020	Analyzing the Machine Learning Conference Review Process by David Tran et al
11-24-2020	Multi-Decoder DPRNN: High Accuracy Source Counting and Separation by Junzhe Zhu et al
11-26-2020	Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation by hsan Ullah et al
11-24-2020	Adam++: A Stochastic Method with Adaptive Variance Reduction by Mingrui Liu et al
11-26-2020	Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training by Sameer Khurana et al
11-26-2020	Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect by Athena Sayles et al
11-26-2020	CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks by Sandesh Ramesh et al
11-27-2020	Multi-objective Neural Architecture Search with Almost No Training by Shengran Hu et al
11-27-2020	Offline Learning from Demonstrations and Unlabeled Experience by Konrad Zolna et al
11-25-2020	Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation by Davis Wertheimer et al
11-27-2020	Detection of Malaria Vector Breeding Habitats using Topographic Models by Aishwarya Jadhav
11-25-2020	Denmarks Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19 by Lucas Chaves Lima et al
11-27-2020	Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles by Yafu Tian et al
11-26-2020	Predictive Collision Management for Time and Risk Dependent Path Planning by Carsten Hahn et al
11-26-2020	Spectral Analysis and Stability of Deep Neural Dynamics by Jan Drgona et al
11-27-2020	Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping by Jeffrey Fong et al
11-26-2020	IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscles Segmentation and Propagation in 3-D Freehand Ultrasound by Dawood Al Chanti et al
11-26-2020	Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture by Sina Amini Niaki et al
11-24-2020	Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification by Pratik K. Mishra et al

11-26-2020	Tractable loss function and color image generation of multinary restricted Boltzmann machine by Juno Hwang et al
11-24-2020	Latent Group Structured Multi-task Learning by Xiangyu Niu et al
11-24-2020	Searching for Interactions: Why the Laplace Kernel is your Friend by Keli Liu et al
11-26-2020	Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness by Yilun Jin et al
11-26-2020	Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling by Dapeng Feng et al
11-24-2020	Effective and Sparse Count-Sketch via k-means clustering by Yuhan Wang et al
11-26-2020	Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction by Yifan Gao et al
11-26-2020	Decoding and Diversity in Machine Translation by Nicholas Roberts et al
11-27-2020	A study of traits that affect learnability in GANs by Niladri Shekhar Dutt et al
11-24-2020	WeiPS: a symmetric fusion model framework for large-scale online learning by Xiang Yu et al
11-26-2020	Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN by Serin Yang et al
11-27-2020	A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks by Haojing Shen et al
11-27-2020	Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction by Yixin Cao et al
11-26-2020	Understand Watchdogs: Discover How Game Bot Get Discovered by Eunji Park et al
11-25-2020	Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization by Tianyu Han et al
11-26-2020	Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction by Penglei Gao et al
11-27-2020	Task Programming: Learning Data Efficient Behavior Representations by Jennifer J. Sun et al
11-24-2020	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation by Daisuke Nishiyama et al
11-26-2020	They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning by Huang Zhuo et al
11-24-2020	xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs by Susie Xi Rao et al
11-26-2020	Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough by Gunvant Chaudhari et al
11-26-2020	Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking by Rutvik Vijjali et al
11-27-2020	Relation Clustering in Narrative Knowledge Graphs by Simone Mellace et al
11-26-2020	Fast IR Drop Estimation with Machine Learning by Zhiyao Xie et al
11-24-2020	A Convenient Infinite Dimensional Framework for Generative Adversarial Learning by Hayk Asatryan et al
11-25-2020	Like a Researcher Stating Broader Impact For the Very First Time by Grace Abuhamad et al
11-26-2020	Exploring grid topology reconfiguration using a simple deep reinforcement learning approach by Medha Subramanian et al
11-27-2020	A Temporal Neural Network Architecture for Online Learning by James E. Smith
11-26-2020	Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks by Emanuele Bastianelli et al
11-25-2020	RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design by Cheng-Hao Liu et al
11-26-2020	Molecular representation learning with language models and domain-relevant auxiliary tasks by Benedek Fabian et al
11-24-2020	A Generalizable Model for Fault Detection in Offshore Wind Turbines Based on DeepLearning by Soorena Salari et al
11-27-2020	Protein model quality assessment using rotation-equivariant, hierarchical neural networks by Stephan Eismann et al
11-26-2020	Tight Hardness Results for Training Depth-2 ReLU Networks by Surbhi Goel et al
11-26-2020	SLURP: A Spoken Language Understanding Resource Package by Emanuele Bastianelli et al
11-26-2020	Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning by Haoyi Fan et al
11-24-2020	Hyper parameter estimation method with particle swarm optimization by Yaru Li et al
11-26-2020	Unigram-Normalized Perplexity as a Language Model Performance Measure with Different Vocabulary Sizes by Jihyeon Roh et al
11-25-2020	Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment by Jeonghoon Park et al
11-26-2020	Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps by Mattia Segu et al
11-26-2020	Automatic coding of students writing via Contrastive Representation Learning in the Wasserstein space by Ruijie Jiang et al
11-26-2020	SSDL: Self-Supervised Domain Learning for Improved Face Recognition by S. W. Arachchilage et al
11-27-2020	Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank by Hung-Hsu Chou et al
11-27-2020	Eigenvalue-corrected Natural Gradient Based on a New Approximation by Kai-Xin Gao et al
11-26-2020	ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition by S. W. Arachchilage et al
11-27-2020	Randomized Transferable Machine by Pengfei Wei et al
11-26-2020	Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation by Zhiyao Xie et al
11-27-2020	Deep orthogonal linear networks are shallow by Pierre Ablin
11-27-2020	Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents by Enrico Guiraud et al
11-26-2020	Beyond Single Instance Multi-view Unsupervised Representation Learning by Xiangxiang Chu et al
11-26-2020	AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises by Nham Le et al
11-27-2020	Machine learning for risk analysis of Urinary Tract Infection in people with dementia by Honglin Li et al
11-26-2020	MVTN: Multi-View Transformation Network for 3D Shape Recognition by Abdullah Hamdi et al
11-27-2020	Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers by Kaidi Xu et al
11-25-2020	Regret Bounds for Adaptive Nonlinear Control by Nicholas M. Boffi et al
11-25-2020	Mixed Membership Graph Clustering via Systematic Edge Query by Shahana Ibrahim et al
11-24-2020	Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning by Batuhan Bardak et al
11-25-2020	A Simulated Annealing Algorithm for Joint Stratification and Sample Allocation Designs by Mervyn O'Luing et al
11-26-2020	Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation by Garvita Agarwal et al
11-26-2020	Data-Efficient Classification of Radio Galaxies by Ashwin Samudre et al
11-26-2020	ShapeFlow: Dynamic Shape Interpreter for TensorFlow by Sahil Verma et al
11-26-2020	Score-Based Generative Modeling through Stochastic Differential Equations by Yang Song et al
11-26-2020	Outcome Indistinguishability by Cynthia Dwork et al
11-26-2020	Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information by Morteza Hosseini et al
11-27-2020	Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors by Clemens Hutter et al
11-27-2020	Autonomous learning of multiple, context-dependent tasks by Vieri Giuliano Santucci et al
11-26-2020	A Metric for Linear Symmetry-Based Disentanglement by Luis A. Pérez Rey et al
11-25-2020	Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches by Jordan Trinka et al
11-26-2020	Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning by Qingbiao Li et al
11-26-2020	Input Convex Neural Networks for Building MPC by Felix Bünning et al
11-24-2020	Learning Curves for Drug Response Prediction in Cancer Cell Lines by Alexander Partin et al
11-25-2020	Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope by Jungtaek Kim et al
11-25-2020	Squared ℓ2ℓ2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations by Haohan Wang et al
11-26-2020	Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning by Eivind Bøhn et al
11-26-2020	Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic by Santiago Cortes et al
11-25-2020	Early Life Cycle Software Defect Prediction. Why? How? by N. C. Shrikanth et al
11-25-2020	Hawkes Processes Modeling, Inference and Control: An Overview by Rafael Lima