2021.5.24 Learning papers

05-20-2021	Opening Deep Neural Networks with Generative Models by Marcos Vendramini et al
05-21-2021	Variational Quantum Classifiers Through the Lens of the Hessian by Pinaki Sen et al
05-21-2021	Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data by Andrew Bennett et al
05-21-2021	BELT: Blockwise Missing Embedding Learning Transfomer by Doudou Zhou et al
05-21-2021	An Explainable Classification Model for Chronic Kidney Disease Patients by Pedro A. Moreno-Sanchez
05-19-2021	Decomposing reverse-mode automatic differentiation by Roy Frostig et al
05-19-2021	XCycles Backprojection Acoustic Super-Resolution by Feras Almasri et al
05-20-2021	On the αα-lazy version of Markov chains in estimation and testing problems by Sela Fried et al
05-21-2021	A Non-Linear Structural Probe by Jennifer C. White et al
05-19-2021	Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning by Haoran Wang et al
05-18-2021	Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach by Yan Li et al
05-19-2021	Methods for Detoxification of Texts for the Russian Language by Daryna Dementieva et al
05-19-2021	Accelerating Gossip SGD with Periodic Global Averaging by Yiming Chen et al
05-18-2021	Solving the electronic Schr\odinger equation for multiple nuclear geometries with weight-sharing deep neural networks by Michael Scherbela et al
05-20-2021	Definite Non-Ancestral Relations and Structure Learning by Wenyu Chen et al
05-19-2021	Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation by Taehyeon Kim et al
05-18-2021	WOVe: Incorporating Word Order in GloVe Word Embeddings by Mohammed Ibrahim et al
05-21-2021	Explainable Machine Learning with Prior Knowledge: An Overview by Katharina Beckh et al
05-21-2021	A Precise Performance Analysis of Support Vector Regression by Houssem Sifaou et al
05-21-2021	Dynamic Filters in Graph Convolutional Neural Networks by Andrea Apicella et al
05-18-2021	AI-Native Network Slicing for 6G Networks by Wen Wu et al
05-19-2021	DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality by Cristina Morariu et al
05-21-2021	LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters by Pritish Chandna et al
05-20-2021	Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation by Sam Devlin et al
05-20-2021	TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study by Danilo Dessi et al
05-20-2021	Multi-Perspective Anomaly Detection by Manav Madan et al
05-21-2021	AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks by S. K. Roy et al
05-21-2021	Rule Augmented Unsupervised Constituency Parsing by Atul Sahay et al
05-21-2021	Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework by Katharina Morik et al
05-19-2021	Image to Image Translation : Generating maps from satellite images by Vaishali Ingale et al
05-19-2021	Multiply Robust Causal Mediation Analysis with Continuous Treatments by AmirEmad Ghassami et al
05-18-2021	On Convex Clustering Solutions by Canh Hao Nguyen et al
05-18-2021	Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education by Robin Henry et al
05-18-2021	MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data by Chrisogonas Odhiambo et al
05-18-2021	Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction by Wentao Ouyang et al
05-18-2021	Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems by Sixiao Zhang et al
05-21-2021	Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics by Inass Sekkat et al
05-20-2021	Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion by Lior Bragilevsky et al
05-19-2021	Copyright in Generative Deep Learning by Giorgio Franceschelli et al
05-21-2021	GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection by Tobias Rohrer et al
05-19-2021	Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine by Behzad Javaheri
05-21-2021	An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma by Anna Zapaishchykova et al
05-19-2021	Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling by Yu Zhu et al
05-19-2021	Separation of Powers in Federated Learning by Pau-Chen Cheng et al
05-19-2021	Boosting Variational Inference With Locally Adaptive Step-Sizes by Gideon Dresdner et al
05-19-2021	Online Selection of Diverse Committees by Virginie Do et al
05-19-2021	From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations by Raphaël d'Andrimont et al
05-18-2021	Nonparametric Modeling of Higher-Order Interactions via Hypergraphons by Krishnakumar Balasubramanian
05-18-2021	Online Multimodal Transportation Planning using Deep Reinforcement Learning by Amirreza Farahani et al
05-19-2021	Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement by Guillaume Carbajal et al
05-21-2021	Safety Metrics for Semantic Segmentation in Autonomous Driving by Chih-Hong Cheng et al
05-18-2021	UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection by Moloud Abdar et al
05-21-2021	Entropy-based Discovery of Summary Causal Graphs in Time Series by Karim Assaad et al
05-19-2021	L1 Regression with Lewis Weights Subsampling by Aditya Parulekar et al
05-21-2021	Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging by Philipp Ennen et al
05-20-2021	Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation by Xiao Sun et al
05-20-2021	Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective by Flavien Prost et al
05-20-2021	Multi-group Agnostic PAC Learnability by Guy N Rothblum et al
05-18-2021	Adaptive ABAC Policy Learning: A Reinforcement Learning Approach by Leila Karimi et al
05-18-2021	Forecasting Significant Wave Heights in Oceanic Waters by Pujan Pokhrel et al
05-20-2021	High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling by Patrick Lumban Tobing et al
05-18-2021	Machine learning on knowledge graphs for context-aware security monitoring by Josep Soler Garrido et al
05-18-2021	Learning to Act Safely with Limited Exposure and Almost Sure Certainty by Agustin Castellano et al
05-18-2021	Fixed ββ-VAE Encoding for Curious Exploration in Complex 3D Environments by Auguste Lehuger et al
05-20-2021	On planetary systems as ordered sequences by Emily Sandford et al
05-20-2021	Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter by Boaz Shmueli et al
05-20-2021	Temporal prediction of oxygen uptake dynamics from wearable sensors during low-, moderate-, and heavy-intensity exercise by Robert Amelard et al
05-19-2021	Compositional Processing Emerges in Neural Networks Solving Math Problems by Jacob Russin et al
05-19-2021	Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations by Florian Rehm et al
05-19-2021	Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map by Wei Shao et al
05-18-2021	Sparse Spiking Gradient Descent by Nicolas Perez-Nieves et al
05-18-2021	An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource by Mohammed Ibrahim et al
05-18-2021	Sparsity Prior Regularized Q-learning for Sparse Action Tasks by Jing-Cheng Pang et al
05-21-2021	Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks by Jana Kierdorf et al
05-20-2021	Cross-domain Imitation from Observations by Dripta S. Raychaudhuri et al
05-19-2021	DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks by Ming-Chang Lee et al
05-18-2021	Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms by Xiaocheng Tang et al
05-20-2021	Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions by Ameya D. Jagtap et al
05-20-2021	Kernel Stein Discrepancy Descent by Anna Korba et al
05-20-2021	Dont Do What Doesnt Matter: Intrinsic Motivation with Action Usefulness by Mathieu Seurin et al
05-19-2021	DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons by Dawn Drain et al
05-18-2021	Univariate Long-Term Municipal Water Demand Forecasting by Blake VanBerlo et al
05-20-2021	Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems by Lourdes Duran-Lopez et al
05-19-2021	BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer by Haoping Bai et al
05-19-2021	Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics by Hiromu Yakura et al
05-18-2021	SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data by Yuan-Ting Hu et al
05-18-2021	Variability of Artificial Neural Networks by Yin Zhang et al
05-20-2021	Physics-informed neural networks (PINNs) for fluid mechanics: A review by Shengze Cai et al
05-20-2021	Dual-side Sparse Tensor Core by Yang Wang et al
05-19-2021	E(n) Equivariant Normalizing Flows for Molecule Generation in 3D by Victor Garcia Satorras et al
05-19-2021	Graph Sanitation with Application to Node Classification by Zhe Xu et al
05-18-2021	Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks by Huixuan Chi et al
05-20-2021	XGBoost energy consumption prediction based on multi-system data HVAC by Yunlong Li et al
05-20-2021	Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection by Konstantinos Bountrogiannis et al
05-19-2021	Complementary Structure-Learning Neural Networks for Relational Reasoning by Jacob Russin et al
05-21-2021	Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach by Enrico Tabanelli et al
05-19-2021	Correlated Input-Dependent Label Noise in Large-Scale Image Classification by Mark Collier et al
05-20-2021	Evaluating Robustness over High Level Driving Instruction for Autonomous Driving by Florence Carton et al
05-20-2021	Comment on Stochastic Polyak Step-Size: Performance of ALI-G by Leonard Berrada et al
05-20-2021	Scalable Multi-Robot System for Non-myopic Spatial Sampling by Sandeep Manjanna et al
05-20-2021	Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures by Daniel Poh et al
05-21-2021	Intriguing Properties of Vision Transformers by Muzammal Naseer et al
05-20-2021	TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li et al
05-21-2021	On Explaining Random Forests with SAT by Yacine Izza et al
05-21-2021	Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction by Zichuan Liu et al
05-20-2021	Aggregate Learning for Mixed Frequency Data by Takamichi Toda et al
05-20-2021	A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning by Yongfeng Li et al
05-18-2021	Optimal radial basis for density-based atomic representations by Alexander Goscinski et al
05-18-2021	Fast and Slow Learning of Recurrent Independent Mechanisms by Kanika Madan et al
05-19-2021	VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation by Haresh Karnan et al
05-19-2021	Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes by Avraham Adler
05-18-2021	Distributionally Robust Learning in Heterogeneous Contexts by Muhammad Osama et al
05-19-2021	A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks by Kamal Berahmand et al
05-19-2021	Balancing Robustness and Sensitivity using Feature Contrastive Learning by Seungyeon Kim et al
05-18-2021	Detecting Adversarial Examples with Bayesian Neural Network by Yao Li et al
05-18-2021	Automatic Assessment of Alzheimers Disease Diagnosis Based on Deep Learning Techniques by Alejandro Puente-Castro et al
05-20-2021	Flexible Compositional Learning of Structured Visual Concepts by Yanli Zhou et al
05-20-2021	Nonlinear Hawkes Process with Gaussian Process Self Effects by Noa Malem-Shinitski et al
05-18-2021	rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm by Fabian Singhofer et al
05-18-2021	Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder by Yunhao Yang et al
05-21-2021	Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints by Ruiqi Liu et al
05-20-2021	Robust Unsupervised Multi-Object Tracking in Noisy Environments by C. -H. Huck Yang et al
05-18-2021	Meta-Reinforcement Learning by Tracking Task Non-stationarity by Riccardo Poiani et al
05-20-2021	Towards Personalized Fairness based on Causal Notion by Yunqi Li et al
05-19-2021	DeepCAD: A Deep Generative Network for Computer-Aided Design Models by Rundi Wu et al
05-21-2021	Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving by Carl-Johan Hoel et al

05-18-2021	Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection by Wenkai Li et al
05-20-2021	Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning by Xiaolin Chen et al
05-20-2021	Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction by Tianyu Gao et al
05-18-2021	Learning and Certification under Instance-targeted Poisoning by Ji Gao et al
05-20-2021	Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks by Hang Wang et al
05-18-2021	Transformers \`a Grande Vitesse by Farid Arthaud et al
05-19-2021	Heterogeneous Contrastive Learning by Lecheng Zheng et al
05-20-2021	Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks by Thosini Bamunu Mudiyanselage et al
05-18-2021	Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records by Yuval Shahar et al
05-20-2021	DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization by Noor Awad et al
05-20-2021	Multiple Support Recovery Using Very Few Measurements Per Sample by Lekshmi Ramesh et al
05-20-2021	Anomaly Mining -- Past, Present and Future by Leman Akoglu
05-21-2021	Exploring Robust Misclassifications of Neural Networks to Enhance Adversarial Attacks by Leo Schwinn et al
05-19-2021	Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue by Will Pryor et al
05-20-2021	Error Bounds of the Invariant Statistics in Machine Learning of Ergodic It\^o Diffusions by He Zhang et al
05-20-2021	Deep Learning-based Implicit CSI Feedback in Massive MIMO by Muhan Chen et al
05-21-2021	Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units by Zihao Zhang et al
05-21-2021	Elliptical Ordinal Embedding by Aïssatou Diallo et al
05-20-2021	Logarithmic landscape and power-law escape rate of SGD by Takashi Mori et al
05-18-2021	Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing by Anshumali Shrivastava et al
05-20-2021	Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series by Shuangshuang Chen et al
05-18-2021	Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies by Beatrice Portelli et al
05-18-2021	Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection by Lifeng Zhou et al
05-20-2021	Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy by Kasra Arnavaz et al
05-20-2021	Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification by Nanqing Dong et al
05-20-2021	Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries by Sukhdeep S. Sodhi et al
05-19-2021	Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning by Maximilian Schenke et al
05-21-2021	Covariance-Free Sparse Bayesian Learning by Alexander Lin et al
05-18-2021	Localization, Convexity, and Star Aggregation by Suhas Vijaykumar
05-20-2021	Towards Automatic Sizing for PPE with a Point Cloud Based Variational Autoencoder by Jacob A. Searcy et al
05-18-2021	Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme by Noura Dridi et al
05-21-2021	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction by Kwan Ho Ryan Chan et al
05-21-2021	Probabilistic Sufficient Explanations by Eric Wang et al
05-21-2021	Distinguishing artefacts: evaluating the saturation point of convolutional neural networks by Ric Real et al
05-21-2021	AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images by Anirudh Ambati et al
05-19-2021	Diffusion Approximations for Thompson Sampling by Lin Fan et al
05-18-2021	Pathdreamer: A World Model for Indoor Navigation by Jing Yu Koh et al
05-18-2021	Unsupervised Compound Domain Adaptation for Face Anti-Spoofing by Ankush Panwar et al
05-19-2021	When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics by Iuliia Pliushch et al
05-18-2021	A LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters by Pujan Pokhrel et al
05-19-2021	Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images by Guang-Quan Zhou et al
05-19-2021	Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead by Arian Bakhtiarnia et al
05-18-2021	Independent Asymmetric Embedding Model for Cascade Prediction on Social Network by Wenjin Xie et al
05-20-2021	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework by Junxiang Wang et al
05-18-2021	On the Robustness of Domain Constraints by Ryan Sheatsley et al
05-21-2021	Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media by Hema Karande et al
05-20-2021	Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles by Luiz Giovanini et al
05-21-2021	Maximum and Leaky Maximum Propagation by Wolfgang Fuhl
05-18-2021	Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation by Mathias Müller et al
05-19-2021	Prototype Guided Federated Learning of Visual Feature Representations by Umberto Michieli et al
05-20-2021	Measuring Coding Challenge Competence With APPS by Dan Hendrycks et al
05-20-2021	Improved Neuronal Ensemble Inference with Generative Model and MCMC by Shun Kimura et al
05-18-2021	Font Style that Fits an Image -- Font Generation Based on Image Context by Taiga Miyazono et al
05-18-2021	Statistical Optimality and Computational Efficiency of Nystr\om Kernel PCA by Nicholas Sterge et al
05-20-2021	On the Parameterized Complexity of Polytree Learning by Niels Grüttemeier et al
05-20-2021	Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors by Jingyi Zhang et al
05-20-2021	Data-Free Knowledge Distillation for Heterogeneous Federated Learning by Zhuangdi Zhu et al
05-20-2021	Model Compression by Arhum Ishtiaq et al
05-21-2021	Deep-Learned Event Variables for Collider Phenomenology by Doojin Kim et al
05-20-2021	A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control by Pei Xu et al
05-19-2021	Joint Calibrationless Reconstruction and Segmentation of Parallel MRI by Aniket Pramanik et al
05-19-2021	Periodic Freight Demand Forecasting for Large-scale Tactical Planning by Greta Laage et al
05-19-2021	Obstructing Classification via Projection by Pantea Haghighatkhah et al
05-19-2021	Music Generation using Deep Learning by Vaishali Ingale et al
05-18-2021	Sparta: Spatially Attentive and Adversarially Robust Activation by Qing Guo et al
05-18-2021	Enhancement of prediction algorithms by betting by Vladimir Vovk
05-18-2021	Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency by Kyra Yee et al
05-18-2021	A multimodal deep learning framework for scalable content based visual media retrieval by Ambareesh Ravi et al
05-19-2021	Latent Gaussian Model Boosting by Fabio Sigrist
05-18-2021	Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks by Dequan Wang et al
05-18-2021	Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View by Yutian Chang et al
05-20-2021	Neural networks with superexpressive activations and integer weights by Aleksandr Beknazaryan
05-18-2021	Deep learning for solution and inversion of structural mechanics and vibrations by Ehsan Haghighat et al
05-18-2021	Zero-Shot Recommender Systems by Hao Ding et al
05-18-2021	Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization by Bingqing Chen et al
05-21-2021	Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices by Mustafa Ayazoglu
05-19-2021	Physical Constraint Embedded Neural Networks for inference and noise regulation by Gregory Barber et al
05-20-2021	Learning Modular Robot Control Policies by Julian Whitman et al
05-21-2021	Certification of Iterative Predictions in Bayesian Neural Networks by Matthew Wicker et al
05-20-2021	Optimizing Neural Network Weights using Nature-Inspired Algorithms by Wael Korani et al
05-21-2021	Low-Memory Implementations of Ridge Solutions for Broad Learning System with Incremental Learning by Hufei Zhu
05-18-2021	Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks by Thorben Funke et al
05-18-2021	Dependent Multi-Task Learning with Causal Intervention for Image Captioning by Wenqing Chen et al
05-19-2021	Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection by Lucas N. Alegre et al
05-19-2021	Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data by Simon Mandlik et al
05-20-2021	An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network by Amit Daniely et al
05-19-2021	Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder by Chuhong Lahlou et al
05-18-2021	The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality by Vincent Froese et al
05-18-2021	DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities by Jiahui Geng et al
05-18-2021	Parametrization invariant interpretation of priors and posteriors by Jesus Cerquides
05-18-2021	Sample Efficient Linear Meta-Learning by Alternating Minimization by Kiran Koshy Thekumparampil et al
05-18-2021	PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence by Justin Sirignano et al
05-21-2021	On Instrumental Variable Regression for Deep Offline Policy Evaluation by Yutian Chen et al
05-21-2021	Sheaves as a Framework for Understanding and Interpreting Model Fit by Henry Kvinge et al
05-21-2021	Learning Visible Connectivity Dynamics for Cloth Smoothing by Xingyu Lin et al
05-18-2021	ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale by Yuanming Li et al
05-19-2021	Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation by Enes Sadi Uysal et al
05-20-2021	Simple Transparent Adversarial Examples by Jaydeep Borkar et al
05-20-2021	Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction by Patrick Lumban Tobing et al
05-20-2021	Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation by Chen Jin et al
05-20-2021	Escaping Saddle Points with Compressed SGD by Dmitrii Avdiukhin et al
05-18-2021	Learning to Route via Theory-Guided Residual Network by Chang Liu et al
05-19-2021	Explainable Tsetlin Machine framework for fake news detection with credibility score assessment by Bimal Bhattarai et al
05-19-2021	Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning by Xiao Wang et al
05-19-2021	A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver by Evan Lowe et al
05-19-2021	Superpixel-based Domain-Knowledge Infusion in Computer Vision by Gunjan Chhablani et al
05-18-2021	Masked Contrastive Learning for Anomaly Detection by Hyunsoo Cho et al
05-18-2021	ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework by Zekai Chen et al
05-18-2021	Ab-initio study of interacting fermions at finite temperature with neural canonical transformation by Hao Xie et al
05-18-2021	DCAP: Deep Cross Attentional Product Network for User Response Prediction by Zekai Chen et al
05-21-2021	Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model by Taku Shoji et al
05-20-2021	A Probabilistic Approach to Neural Network Pruning by Xin Qian et al
05-18-2021	DRIVE: One-bit Distributed Mean Estimation by Shay Vargaftik et al
05-18-2021	Learning and Information in Stochastic Networks and Queues by Neil Walton et al
05-20-2021	See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization by Yash Kumar Atri et al
05-18-2021	Label Inference Attacks from Log-loss Scores by Abhinav Aggarwal et al
05-21-2021	Generalization Error Bound for Hyperbolic Ordinal Embedding by Atsushi Suzuki et al
05-18-2021	Incentivized Bandit Learning with Self-Reinforcing User Preferences by Tianchen Zhou et al
05-18-2021	Relative Positional Encoding for Transformers with Linear Complexity by Antoine Liutkus et al
05-21-2021	Word-level Text Highlighting of Medical Texts forTelehealth Services by Ozan Ozyegen et al
05-18-2021	Quantifying sources of uncertainty in drug discovery predictions with probabilistic models by Stanley E. Lazic et al
05-19-2021	AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis by Asim Leblebici et al
05-20-2021	EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation by Jun Ho Yoon et al
05-19-2021	Contrastive Learning for Many-to-many Multilingual Neural Machine Translation by Xiao Pan et al
05-20-2021	Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory by Ruiqi Liu et al
05-20-2021	Explainable Activity Recognition for Smart Home Systems by Devleena Das et al
05-20-2021	A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos by Binh Nguyen-Thai et al
05-19-2021	Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? by Zhisheng Xiao et al
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05-20-2021	DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry by Ran Zhu et al
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05-19-2021	Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care by Hua Zheng et al
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