2020.10.12 Learning papers

10-08-2020	Energy-based Out-of-distribution Detection by Weitang Liu et al
10-07-2020	A Simple and Efficient Tensor Calculus for Machine Learning by Sören Laue et al
10-08-2020	Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms by Gareth P. Jones et al
10-06-2020	Reinforcement Learning with Random Delays by Simon Ramstedt et al
10-07-2020	Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win by Utku Evci et al
10-07-2020	Differentially Private Deep Learning with Direct Feedback Alignment by Jaewoo Lee et al
10-06-2020	Directional Graph Networks by Dominique Beaini et al
10-07-2020	PyMT5: multi-mode translation of natural language and Python code with transformers by Colin B. Clement et al
10-07-2020	Online Safety Assurance for Deep Reinforcement Learning by Noga H. Rotman et al
10-08-2020	DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates by Alex Renda et al
10-07-2020	WER we are and WER we think we are by Piotr Szymański et al
10-08-2020	Olympus: a benchmarking framework for noisy optimization and experiment planning by Florian Häse et al
10-07-2020	Maximum Reward Formulation In Reinforcement Learning by Sai Krishna Gottipati et al
10-06-2020	Robust priors for regularized regression by Sebastian Bobadilla-Suarez et al
10-08-2020	No MCMC for me: Amortized sampling for fast and stable training of energy-based models by Will Grathwohl et al
10-09-2020	GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering by Alex Trevithick et al
10-06-2020	A Unifying View on Implicit Bias in Training Linear Neural Networks by Chulhee Yun et al
10-08-2020	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines by Keerthiram Murugesan et al
10-08-2020	ALFWorld: Aligning Text and Embodied Environments for Interactive Learning by Mohit Shridhar et al
10-07-2020	Less is more: Faster and better music version identification with embedding distillation by Furkan Yesiler et al
10-07-2020	What Can We Learn from Collective Human Opinions on Natural Language Inference Data? by Yixin Nie et al
10-08-2020	Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? by Peter Hase et al
10-07-2020	A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks by Nikunj Saunshi et al
10-07-2020	A Human Ear Reconstruction Autoencoder by Hao Sun et al
10-07-2020	Characterizing the Value of Information in Medical Notes by Chao-Chun Hsu et al
10-07-2020	A Critique of Self-Expressive Deep Subspace Clustering by Benjamin D. Haeffele et al
10-06-2020	NCP-VAE: Variational Autoencoders with Noise Contrastive Priors by Jyoti Aneja et al
10-08-2020	Automatic generation of reviews of scientific papers by Anna Nikiforovskaya et al
10-06-2020	On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment by Zirui Wang et al
10-06-2020	Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures by Benjamin Kompa et al
10-07-2020	Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving by Jiahao Yao et al
10-07-2020	Learning Intrinsic Symbolic Rewards in Reinforcement Learning by Hassam Sheikh et al
10-07-2020	Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models by Amrit Nagarajan et al
10-07-2020	Adaptive Self-training for Few-shot Neural Sequence Labeling by Yaqing Wang et al
10-07-2020	A Brief Review of Domain Adaptation by Abolfazl Farahani et al
10-07-2020	Domain Adversarial Neural Networks for Dysarthric Speech Recognition by Dominika Woszczyk et al
10-07-2020	Dont Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding by Qile Zhu et al
10-07-2020	Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data by Colin Wei et al
10-08-2020	IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications by Mahesh Pal et al
10-07-2020	Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer by Xuelu Chen et al
10-07-2020	Robust Semi-Supervised Learning with Out of Distribution Data by Xujiang Zhao et al
10-07-2020	Adversarial attacks on audio source separation by Naoya Takahashi et al
10-07-2020	Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples by Sven Gowal et al
10-07-2020	Ensembling geophysical models with Bayesian Neural Networks by Ushnish Sengupta et al
10-07-2020	Quantum-enhanced barcode decoding and pattern recognition by Leonardo Banchi et al
10-08-2020	Texture-based Presentation Attack Detection for Automatic Speaker Verification by Lazaro J. Gonzalez-Soler et al
10-06-2020	Denoising Diffusion Implicit Models by Jiaming Song et al
10-08-2020	Improve Adversarial Robustness via Weight Penalization on Classification Layer by Cong Xu et al
10-08-2020	Information Theory Measures via Multidimensional Gaussianization by Valero Laparra et al
10-06-2020	Visualizing Color-wise Saliency of Black-Box Image Classification Models by Yuhki Hatakeyama et al
10-07-2020	Tractography filtering using autoencoders by Jon Haitz Legarreta et al
10-08-2020	A Unified Approach to Interpreting and Boosting Adversarial Transferability by Xin Wang et al
10-07-2020	Learning to Recombine and Resample Data for Compositional Generalization by Ekin Akyürek et al
10-08-2020	On the importance of pre-training data volume for compact language models by Vincent Micheli et al
10-07-2020	Dont Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks by Ahmed Salem et al
10-07-2020	MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics by Anthony Chen et al
10-08-2020	Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study by Jiancheng Yang et al
10-07-2020	Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification by Jiechieu Kameni Florentin Flambeau et al
10-07-2020	Synthesising clinically realistic Chest X-rays using Generative Adversarial Networks by Bradley Segal et al
10-06-2020	RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs by Zhiwei Xu et al
10-07-2020	A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization by André F. Cruz et al
10-06-2020	PRover: Proof Generation for Interpretable Reasoning over Rules by Swarnadeep Saha et al
10-06-2020	Weakly-Supervised Feature Learning via Text and Image Matching by Gongbo Liang et al
10-07-2020	Anomaly Detection in Large Labeled Multi-Graph Databases by Hung T. Nguyen et al
10-09-2020	Linear Mode Connectivity in Multitask and Continual Learning by Seyed Iman Mirzadeh et al
10-08-2020	Extracting a Knowledge Base of Mechanisms from COVID-19 Papers by Aida Amini et al
10-06-2020	Vec2Instance: Parameterization for Deep Instance Segmentation by N. Lakmal Deshapriya et al
10-07-2020	Hierarchical Relational Inference by Aleksandar Stanić et al
10-06-2020	Conditional Generative Modeling via Learning the Latent Space by Sameera Ramasinghe et al
10-08-2020	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference by Xiaoan Ding et al
10-06-2020	Textual Supervision for Visually Grounded Spoken Language Understanding by Bertrand Higy et al
10-06-2020	Towards a Scalable and Distributed Infrastructure for Deep Learning Applications by Bita Hasheminezhad et al
10-07-2020	Variational Intrinsic Control Revisited by Taehwan Kwon
10-09-2020	Joint State-Action Embedding for Efficient Reinforcement Learning by Paul J. Pritz et al
10-06-2020	Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing by Piotr Szymański et al
10-06-2020	Correlated Differential Privacy: Feature Selection in Machine Learning by Tao Zhang et al
10-07-2020	Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation by Weijia Xu et al
10-09-2020	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting by Vincent Le Guen et al
10-06-2020	PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning by Yuli Zheng et al
10-08-2020	TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling by Parker Riley et al
10-06-2020	Learning to Represent Image and Text with Denotation Graph by Bowen Zhang et al
10-08-2020	comp-syn: Perceptually Grounded Word Embeddings with Color by Bhargav Srinivasa Desikan et al
10-06-2020	Multi-task Learning for Multilingual Neural Machine Translation by Yiren Wang et al
10-09-2020	Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder by Zhiwei Xu et al
10-07-2020	A Neural Network MCMC sampler that maximizes Proposal Entropy by Zengyi Li et al
10-07-2020	Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss by Davood Zabihzadeh et al
10-06-2020	A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments by Youngmoon Jung et al
10-07-2020	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors by Kamil Kowol et al
10-07-2020	M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging by Xuelin Qian et al
10-06-2020	On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers by Marius Mosbach et al
10-09-2020	Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments by Zhi Wang et al
10-06-2020	InstaHide: Instance-hiding Schemes for Private Distributed Learning by Yangsibo Huang et al
10-06-2020	Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning by Biwei Dai et al
10-06-2020	Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters by Weichao Lan et al
10-07-2020	A Survey of Deep Meta-Learning by Mike Huisman et al
10-07-2020	Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks by Yixuan Sun et al
10-08-2020	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs by Meng Qu et al
10-06-2020	Recyclable Gaussian Processes by Pablo Moreno-Muñoz et al
10-06-2020	BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models by Ahmed Salem et al
10-08-2020	Prioritized Level Replay by Minqi Jiang et al
10-08-2020	Guided Curriculum Learning for Walking Over Complex Terrain by Brendan Tidd et al
10-06-2020	CORE: Color Regression for Multiple Colors Fashion Garments by Alexandre Rame et al
10-06-2020	Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations by Praveen Kumar Bodigutla et al
10-06-2020	Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation by Allan Pinto et al
10-08-2020	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning by Ossama Ahmed et al
10-07-2020	Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients by Adam J. Starr et al
10-07-2020	Actor-Critic Algorithm for High-dimensional Partial Differential Equations by Xiaohan Zhang
10-06-2020	How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning by Ethan Harris et al
10-09-2020	Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs with Weakly Labeled Data by Perry Deng et al
10-06-2020	A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning by Alexander Mey
10-08-2020	Bias and Variance of Post-processing in Differential Privacy by Keyu Zhu et al
10-07-2020	Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders by Benoit Gaujac et al
10-06-2020	Unsupervised Hierarchical Concept Learning by Sumegh Roychowdhury et al
10-06-2020	Comprehensive Online Network Pruning via Learnable Scaling Factors by Muhammad Umair Haider et al
10-08-2020	Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning by Daniele Reda et al
10-06-2020	Channel Recurrent Attention Networks for Video Pedestrian Retrieval by Pengfei Fang et al
10-06-2020	Efficient Meta Lifelong-Learning with Limited Memory by Zirui Wang et al
10-06-2020	Digital Voicing of Silent Speech by David Gaddy et al
10-06-2020	Generalized Matrix Factorization by Łukasz Kidziński et al
10-07-2020	Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences by Jakob Aungiers
10-07-2020	Double Targeted Universal Adversarial Perturbations by Philipp Benz et al
10-08-2020	Query-Key Normalization for Transformers by Alex Henry et al
10-07-2020	Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs by Weichao Mao et al
10-08-2020	Uncertainty in Neural Processes by Saeid Naderiparizi et al
10-06-2020	Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus by Michel Plüss et al
10-06-2020	COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19 by Faraz Khoshbakhtian et al

10-06-2020	Diverse Exploration via InfoMax Options by Yuji Kanagawa et al
10-07-2020	Regularized Inverse Reinforcement Learning by Wonseok Jeon et al
10-09-2020	A Survey of Knowledge-Enhanced Text Generation by Wenhao Yu et al
10-06-2020	Program Enhanced Fact Verification with Verbalization and Graph Attention Network by Xiaoyu Yang et al
10-07-2020	FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints by Souradip Chakraborty et al
10-07-2020	Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications by Yue Yang et al
10-09-2020	Audio-Visual Speech Inpainting with Deep Learning by Giovanni Morrone et al
10-06-2020	LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU by Evgeny Ponomarev et al
10-06-2020	Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective by Dylan J. Foster et al
10-07-2020	High-Capacity Expert Binary Networks by Adrian Bulat et al
10-08-2020	Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning by Abdulmajid Murad et al
10-09-2020	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search by Jovita Lukasik et al
10-08-2020	Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ by Palak Sukharamwala et al
10-06-2020	Global Self-Attention Networks for Image Recognition by Zhuoran Shen et al
10-09-2020	Learning not to learn: Nature versus nurture in silico by Robert Tjarko Lange et al
10-08-2020	Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding by Jin Cao et al
10-07-2020	Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training by Ryoto Ishizuka et al
10-07-2020	Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features by Philipp Benz et al
10-07-2020	A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix by Thang Doan et al
10-08-2020	Targeted Attention Attack on Deep Learning Models in Road Sign Recognition by Xinghao Yang et al
10-07-2020	Interpreting Imagined Speech Waves with Machine Learning techniques by Abhiram Singh et al
10-07-2020	CD-UAP: Class Discriminative Universal Adversarial Perturbation by Chaoning Zhang et al
10-07-2020	Neural Group Actions by Span Spanbauer et al
10-08-2020	Adaptive Doubly Robust Estimator by Masahiro Kato
10-09-2020	GitEvolve: Predicting the Evolution of GitHub Repositories by Honglu Zhou et al
10-08-2020	Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements by Yang Li et al
10-07-2020	Simplicial Neural Networks by Stefania Ebli et al
10-06-2020	A Novel Neural Network Training Framework with Data Assimilation by Chong Chen et al
10-06-2020	The Multilingual Amazon Reviews Corpus by Phillip Keung et al
10-06-2020	SCOBO: Sparsity-Aware Comparison Oracle Based Optimization by HanQin Cai et al
10-06-2020	Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation by Minki Kang et al
10-07-2020	Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems by AKM Iqtidar Newaz et al
10-08-2020	Addressing the Real-world Class Imbalance Problem in Dermatology by Wei-Hung Weng et al
10-08-2020	Dynamic mode decomposition for forecasting and analysis of power grid load data by Daniel Dylewsky et al
10-08-2020	Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination by Sitan Chen et al
10-08-2020	Real-time anomaly detection with superexperts by Raisa Dzhamtyrova et al
10-09-2020	Algorithmic Frameworks for the Detection of High Density Anomalies by Ralph Foorthuis
10-07-2020	Learning disentangled representations with the Wasserstein Autoencoder by Benoit Gaujac et al
10-06-2020	Structured Logconcave Sampling with a Restricted Gaussian Oracle by Yin Tat Lee et al
10-08-2020	AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates by Geoffrey C. Fox et al
10-08-2020	Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples by Salar Fattahi
10-06-2020	Reward Propagation Using Graph Convolutional Networks by Martin Klissarov et al
10-06-2020	Kernel regression in high dimension: Refined analysis beyond double descent by Fanghui Liu et al
10-07-2020	Unsupervised Parsing via Constituency Tests by Steven Cao et al
10-06-2020	Robustness and Reliability of Gender Bias Assessment in WordEmbeddings: The Role of Base Pairs by Haiyang Zhang et al
10-06-2020	Secure 3D medical Imaging by Shadi Al-Zu'bi
10-09-2020	Real-time Mask Detection on Google Edge TPU by Keondo Park et al
10-09-2020	Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation by Bo Li et al
10-08-2020	Handling Imbalanced Data: A Case Study for Binary Class Problems by Richmond Addo Danquah
10-08-2020	HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis by Aishwarya Sarkar et al
10-06-2020	Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration by Yuchen Zhou et al
10-06-2020	Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection by Hoang Nguyen et al
10-09-2020	Gini in a Bottleneck: Gotta Train Me the Right Way by Ryan Henderson et al
10-06-2020	Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks by Shubham Toshniwal et al
10-06-2020	Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review by Yuqi Si et al
10-06-2020	VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling by Machel Reid et al
10-06-2020	Embedding Words in Non-Vector Space with Unsupervised Graph Learning by Max Ryabinin et al
10-07-2020	TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion by Jiapeng Wu et al
10-09-2020	Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images by Nataša Petrović et al
10-07-2020	Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems by Jason Miller et al
10-06-2020	Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images by Hristina Uzunova et al
10-09-2020	Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter by Sarah Masud et al
10-06-2020	Safety Aware Reinforcement Learning (SARL) by Santiago Miret et al
10-07-2020	Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization by Mack Sweeney et al
10-06-2020	Multi-typed Objects Multi-view Multi-instance Multi-label Learning by Yuanlin Yang et al
10-06-2020	Semantically Driven Sentence Fusion: Modeling and Evaluation by Eyal Ben-David et al
10-06-2020	Fixing Asymptotic Uncertainty of Bayesian Neural Networks with Infinite ReLU Features by Agustinus Kristiadi et al
10-06-2020	Descriptive analysis of computational methods for automating mammograms with practical applications by Aparna Bhale et al
10-06-2020	Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows by Jan Ackmann et al
10-07-2020	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect by Oscar Serradilla et al
10-09-2020	Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning by Xinyu Dong et al
10-09-2020	Contrastive Learning with Hard Negative Samples by Joshua Robinson et al
10-06-2020	Gradient-based Causal Structure Learning with Normalizing Flow by Xiongren Chen
10-06-2020	LOGAN: Local Group Bias Detection by Clustering by Jieyu Zhao et al
10-09-2020	HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs by Devanshu Arya et al
10-08-2020	Nonstationary Reinforcement Learning with Linear Function Approximation by Huozhi Zhou et al
10-09-2020	LaND: Learning to Navigate from Disengagements by Gregory Kahn et al
10-07-2020	Training GANs with predictive projection centripetal acceleration by Li Keke et al
10-08-2020	Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels by Dingzhu Wen et al
10-06-2020	Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning by Sumedh A. Sontakke et al
10-08-2020	Improved Techniques for Model Inversion Attacks by Si Chen et al
10-08-2020	Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning by Anthony Tompkins et al
10-06-2020	Constraining Logits by Bounded Function for Adversarial Robustness by Sekitoshi Kanai et al
10-07-2020	An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild by Denis Dresvyanskiy et al
10-08-2020	High-Order Relation Construction and Mining for Graph Matching by Hui Xu et al
10-06-2020	SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling by Di Wu et al
10-09-2020	Examining the Ordering of Rhetorical Strategies in Persuasive Requests by Omar Shaikh et al
10-08-2020	Genetic-algorithm-optimized neural networks for gravitational wave classification by Dwyer S. Deighan et al
10-09-2020	Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively by Utkarsh Upadhyay et al
10-09-2020	Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels by Harris Chan et al
10-08-2020	A Fully Tensorized Recurrent Neural Network by Charles C. Onu et al
10-08-2020	Learning the Linear Quadratic Regulator from Nonlinear Observations by Zakaria Mhammedi et al
10-08-2020	Automating Inference of Binary Microlensing Events with Neural Density Estimation by Keming Zhang et al
10-09-2020	Model Exploration with Cost-Aware Learning by Namid Stillman et al
10-07-2020	Robust Multi-class Feature Selection via l2,0l2,0-Norm Regularization Minimization by Zhenzhen Sun et al
10-07-2020	A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic by Nima Ebadi et al
10-08-2020	MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response by Jiancheng Yang et al
10-06-2020	On Additive Approximate Submodularity by Flavio Chierichetti et al
10-07-2020	Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages by Michael A. Hedderich et al
10-08-2020	Near-Optimal Comparison Based Clustering by Michaël Perrot et al

10-06-2020	Characterising Bias in Compressed Models by Sara Hooker et al
10-09-2020	Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models by Eric Zelikman et al
10-08-2020	How Can Self-Attention Networks Recognize Dyck-n Languages? by Javid Ebrahimi et al
10-08-2020	Prediction intervals for Deep Neural Networks by Tullio Mancini et al
10-06-2020	Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs by Dominik Kirchhoff et al
10-06-2020	Recovering Causal Structures from Low-Order Conditional Independencies by Marcel Wienöbst et al
10-06-2020	Disentangle-based Continual Graph Representation Learning by Xiaoyu Kou et al
10-09-2020	Recursive Top-Down Production for Sentence Generation with Latent Trees by Shawn Tan et al
10-08-2020	Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition by Varsha Nair et al
10-06-2020	Cognitive Learning-Aided Multi-Antenna Communications by Ahmet M. Elbir et al
10-08-2020	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects by Amir-Hossein Karimi et al
10-08-2020	Assessing the Fairness of Classifiers with Collider Bias by Zhenlong Xu et al
10-08-2020	A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel by Amir Hossein Estiri et al
10-08-2020	Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves by Ryan Omidi et al
10-06-2020	Sequential Changepoint Detection in Neural Networks with Checkpoints by Michalis K. Titsias et al
10-08-2020	Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment by Ivan Stelmakh et al
10-08-2020	Set Prediction without Imposing Structure as Conditional Density Estimation by David W. Zhang et al
10-09-2020	A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers by Paulo R. C. Mendes et al
10-08-2020	Interlocking Backpropagation: Improving depthwise model-parallelism by Aidan N. Gomez et al
10-06-2020	A Closer Look at Codistillation for Distributed Training by Shagun Sodhani et al
10-09-2020	PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline by Farzin Negahbani et al
10-09-2020	Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution by Yucheng Lin et al
10-07-2020	Topic Diffusion Discovery Based on Deep Non-negative Autoencoder by Sheng-Tai Huang et al
10-07-2020	Projection-Based Constrained Policy Optimization by Tsung-Yen Yang et al
10-09-2020	Causal Feature Selection with Dimension Reduction for Interpretable Text Classification by Guohou Shan et al
10-07-2020	Cellular Automata Can Reduce Memory Requirements of Collective-State Computing by Denis Kleyko et al
10-08-2020	Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning by Julia B. Nakhleh et al
10-09-2020	Streaming Submodular Maximization with Fairness Constraints by Yanhao Wang et al
10-09-2020	Event Representation with Sequential, Semi-Supervised Discrete Variables by Mohammad Mehdi Rezaee Taghiabadi et al
10-06-2020	Rank and run-time aware compression of NLP Applications by Urmish Thakker et al
10-06-2020	Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering by Shih-Gu Huang et al
10-06-2020	Statistical monitoring of functional data using the notion of Fr\echet mean combined with the framework of the deformation models by Georgios I. Papayiannis et al
10-06-2020	Provable Hierarchical Imitation Learning via EM by Zhiyu Zhang et al
10-06-2020	Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior by Amir Jalilifard et al
10-06-2020	Efficient computation of contrastive explanations by André Artelt et al
10-06-2020	A Transformer-based Framework for Multivariate Time Series Representation Learning by George Zerveas et al
10-09-2020	Learning Binary Trees via Sparse Relaxation by Valentina Zantedeschi et al
10-08-2020	Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits by Yu-Heng Hung et al
10-09-2020	Adaptive and Momentum Methods on Manifolds Through Trivializations by Mario Lezcano-Casado
10-08-2020	SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors by Ardavan Afshar et al
10-08-2020	FastVC: Fast Voice Conversion with non-parallel data by Oriol Barbany Mayor et al
10-06-2020	Bayesian Distance Weighted Discrimination by Eric F. Lock
10-06-2020	From Language Games to Drawing Games by Chrisantha Fernando et al
10-09-2020	Deep RL With Information Constrained Policies: Generalization in Continuous Control by Tyler Malloy et al
10-07-2020	Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited by Omar Darwiche Domingues et al
10-06-2020	Disentangled Generative Causal Representation Learning by Xinwei Shen et al
10-09-2020	Mark-Evaluate: Assessing Language Generation using Population Estimation Methods by Gonçalo Mordido et al
10-06-2020	Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate by Zhiyuan Li et al
10-09-2020	Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients by Yannis Flet-Berliac et al
10-09-2020	Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces by George C. Alexandropoulos et al
10-06-2020	Learnable Uncertainty under Laplace Approximations by Agustinus Kristiadi et al
10-09-2020	Using Graph Neural Networks for Mass Spectrometry Prediction by Hao Zhu et al
10-06-2020	Online Linear Optimization with Many Hints by Aditya Bhaskara et al
10-07-2020	Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction by Tom Z. Jiahao et al
10-09-2020	Self-Paced Learning for Neural Machine Translation by Yu Wan et al
10-06-2020	Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients by Zijian Lei et al
10-09-2020	Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis by João A. Leite et al
10-07-2020	Approximate Message Passing with Spectral Initialization for Generalized Linear Models by Marco Mondelli et al
10-06-2020	Gene Regulatory Network Inference with Latent Force Models by Jacob Moss et al
10-06-2020	Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework by Sohini Roychowdhury et al
10-08-2020	Masked ELMo: An evolution of ELMo towards fully contextual RNN language models by Gregory Senay et al
10-09-2020	Neural Random Projection: From the Initial Task To the Input Similarity Problem by Alan Savushkin et al
10-06-2020	A framework for predicting, interpreting, and improving Learning Outcomes by Chintan Donda et al
10-07-2020	Stochastic parameterization with VARX processes by Nick Verheul et al
10-06-2020	Testing Tail Weight of a Distribution Via Hazard Rate by Maryam Aliakbarpour et al
10-08-2020	Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach by Mona Fuhrländer et al
10-08-2020	Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism by Andrés Muñoz Medina et al
10-09-2020	Latent Dirichlet Allocation Model Training with Differential Privacy by Fangyuan Zhao et al
10-09-2020	Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models by Pierangelo Lombardo et al
10-06-2020	Dif-MAML: Decentralized Multi-Agent Meta-Learning by Mert Kayaalp et al
10-06-2020	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components by Junwen Bai et al
10-06-2020	Improving the efficiency of spectral features extraction by structuring the audio files by Dishant Parikh et al
10-06-2020	Computational analysis of pathological image enables interpretable prediction for microsatellite instability by Jin Zhu et al
10-07-2020	Proximal Policy Optimization with Relative Pearson Divergence by Taisuke Kobayashi
10-08-2020	Provable Fictitious Play for General Mean-Field Games by Qiaomin Xie et al
10-08-2020	Fictitious play in zero-sum stochastic games by Muhammed O. Sayin et al
10-08-2020	Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm by Xiaona Xia
10-09-2020	Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids by Tong Ma et al
10-06-2020	Flow-based anomaly detection by Łukasz Maziarka et al
10-06-2020	Learn to Synchronize, Synchronize to Learn by Pietro Verzelli et al
10-06-2020	Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows by Mouhacine Benosman et al
10-08-2020	Affine-Invariant Robust Training by Oriol Barbany Mayor
10-06-2020	Astraea: Grammar-based Fairness Testing by Ezekiel Soremekun et al
10-09-2020	EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models by Cédric Colas et al
10-07-2020	Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations by Feras A. Saad et al
10-09-2020	Deep Learning for Procedural Content Generation by Jialin Liu et al
10-06-2020	CURI: A Benchmark for Productive Concept Learning Under Uncertainty by Ramakrishna Vedantam et al
10-07-2020	Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network by Pankaj Khatiwada et al
10-09-2020	Physical invariance in neural networks for subgrid-scale scalar flux modeling by Hugo Frezat et al
10-09-2020	Few-shot Learning for Spatial Regression by Tomoharu Iwata et al
10-08-2020	Learning the Pareto Front with Hypernetworks by Aviv Navon et al
10-09-2020	Measuring What Counts: The case of Rumour Stance Classification by Carolina Scarton et al
10-07-2020	Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition by Anshuman Tripathi et al
10-06-2020	Interpretable Sequence Classification via Discrete Optimization by Maayan Shvo et al
10-08-2020	NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training by Priyanshu Kumar et al
10-06-2020	Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters by Mathieu Barré et al
10-07-2020	Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples by Eden Levy et al
10-06-2020	Real-time Uncertainty Decomposition for Online Learning Control by Jonas Umlauft et al
10-06-2020	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning by Tarun Gupta et al
10-07-2020	Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation by Ivan Makhotin et al
10-07-2020	Exploiting non-i.i.d. data towards more robust machine learning algorithms by Wim Casteels et al
10-07-2020	Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners by Ardalan Khazraei et al
10-09-2020	Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees by Alfonso Emilio Gerevini et al
10-07-2020	Learning from demonstration using products of experts: applications to manipulation and task prioritization by Emmanuel Pignat et al
10-07-2020	Equivariant Normalizing Flows for Point Processes and Sets by Marin Biloš et al
10-06-2020	Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation by Xingchen Ma et al
10-07-2020	Invertible Manifold Learning for Dimension Reduction by Siyuan Li et al
10-07-2020	Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization by Cam Ly Nguyen et al
10-07-2020	Abductive Knowledge Induction From Raw Data by Wang-Zhou Dai et al
10-07-2020	Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins by David Medina-Ortiz et al
10-08-2020	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking by Laurent Meunier et al
10-08-2020	Neural Networks as Functional Classifiers by Barinder Thind et al
10-08-2020	A low discrepancy sequence on graphs by A. Cloninger et al
10-07-2020	Global Optimization of Objective Functions Represented by ReLU Networks by Christopher A. Strong et al
10-07-2020	Propagation Model Search for Graph Neural Networks by Yuhui Ding et al
10-08-2020	Approximating smooth functions by deep neural networks with sigmoid activation function by Sophie Langer
10-06-2020	Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional Neural Network Model based on Fusion MRI Sequences by M. Shabanian et al
10-07-2020	Improving Sequential Latent Variable Models with Autoregressive Flows by Joseph Marino et al
10-08-2020	Towards the Detection of Building Occupancy with Synthetic Environmental Data by Manuel Weber et al
10-09-2020	Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions by Christos Psarras et al
10-07-2020	Learning Mesh-Based Simulation with Graph Networks by Tobias Pfaff et al
10-08-2020	Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks by Anit Kumar Sahu et al
10-07-2020	Optimal Gradient Compression for Distributed and Federated Learning by Alyazeed Albasyoni et al
10-07-2020	Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks by Ranjan Anantharaman et al
10-06-2020	LSTMs Compose (and Learn) Bottom-Up by Naomi Saphra et al
10-08-2020	Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks by Yikai Wu et al
10-08-2020	Deep Learning Meets Projective Clustering by Alaa Maalouf et al
10-08-2020	Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems by Yinghui Huang et al
10-09-2020	A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems by Guixiang Ma et al
10-07-2020	Physical System for Non Time Sequence Data by Xiongren Chen
10-07-2020	Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks by Jérôme Van Zaen et al
10-09-2020	Dirichlet Graph Variational Autoencoder by Jia Li et al
10-07-2020	A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments by Mehdi Golzadeh et al
10-07-2020	Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: ASentiment Polarity Classifier for YouTube Commentswith Code-switching between Tamil, Malayalam andEnglish by BalaSundaraRaman Lakshmanan et al
10-08-2020	Unsupervised Joint kk-node Graph Representations with Compositional Energy-Based Models by Leonardo Cotta et al
10-08-2020	Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation by Yassin Khalifa et al
10-08-2020	Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies by Christina X. Ji et al
10-06-2020	Using Experimental Data to Evaluate Methods for Observational Causal Inference by Amanda Gentzel et al