2021.6.21 Learning papers

06-17-2021	Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis by Hasib Zunair et al
06-17-2021	SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies by Linxi Fan et al
06-15-2021	SSMix: Saliency-Based Span Mixup for Text Classification by Soyoung Yoon et al
06-18-2021	Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments by Yining Chen et al
06-17-2021	Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations by Xin-Qiang Cai et al
06-16-2021	Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering by Waddah Saeed
06-16-2021	Silhouettes and quasi residual plots for neural nets and tree-based classifiers by Jakob Raymaekers et al
06-18-2021	Active Offline Policy Selection by Ksenia Konyushkova et al
06-15-2021	Evaluating Modules in Graph Contrastive Learning by Ganqu Cui et al
06-17-2021	Multi-head or Single-head? An Empirical Comparison for Transformer Training by Liyuan Liu et al
06-15-2021	How Modular Should Neural Module Networks Be for Systematic Generalization? by Vanessa D'Amario et al
06-15-2021	Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection by Tuo Zhang et al
06-15-2021	Very Deep Graph Neural Networks Via Noise Regularisation by Jonathan Godwin et al
06-16-2021	Recursive Construction of Stable Assemblies of Recurrent Neural Networks by Michaela Ennis et al
06-16-2021	Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions by Shaashwat Agrawal et al
06-16-2021	Solving Continuous Control with Episodic Memory by Igor Kuznetsov et al
06-15-2021	Author Clustering and Topic Estimation for Short Texts by Graham Tierney et al
06-17-2021	How Low Can We Go: Trading Memory for Error in Low-Precision Training by Chengrun Yang et al
06-15-2021	Self-Supervised Learning with Kernel Dependence Maximization by Yazhe Li et al
06-16-2021	EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals by Andac Demir et al
06-17-2021	Hybrid graph convolutional neural networks for landmark-based anatomical segmentation by Nicolás Gaggion et al
06-15-2021	Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy by Falaah Arif Khan et al
06-15-2021	Learning Autonomy in Management of Wireless Random Networks by Hoon Lee et al
06-17-2021	Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error by Ondrej Bohdal et al
06-15-2021	Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks by Peter Pfeiffer et al
06-17-2021	Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation by Agnieszka Słowik et al
06-17-2021	PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python by Haiping Lu et al
06-17-2021	Escaping strict saddle points of the Moreau envelope in nonsmooth optimization by Damek Davis et al
06-15-2021	Predicting Unreliable Predictions by Shattering a Neural Network by Xu Ji et al
06-16-2021	Comparison of Outlier Detection Techniques for Structured Data by Amulya Agarwal et al
06-15-2021	Learning-based Support Estimation in Sublinear Time by Talya Eden et al
06-15-2021	Spoofing Generalization: When Cant You Trust Proprietary Models? by Ankur Moitra et al
06-17-2021	Do Large Scale Molecular Language Representations Capture Important Structural Information? by Jerret Ross et al
06-17-2021	Privacy-Preserving Eye-tracking Using Deep Learning by Salman Seyedi et al
06-15-2021	Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM by Kazuki Yokoo et al
06-16-2021	Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence by Jacky Cao et al
06-15-2021	Canonical-Correlation-Based Fast Feature Selection by Sikai Zhang et al
06-15-2021	Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder by Xiangyu Chen et al
06-15-2021	Adversarial Attacks on Deep Models for Financial Transaction Records by Ivan Fursov et al
06-17-2021	Backward Gradient Normalization in Deep Neural Networks by Alejandro Cabana et al
06-16-2021	Costs and Benefits of Wasserstein Fair Regression by Han Zhao
06-17-2021	Many Agent Reinforcement Learning Under Partial Observability by Keyang He et al
06-17-2021	Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion by Zhenguang Liu et al
06-15-2021	On the Evaluation of Sequential Machine Learning for Network Intrusion Detection by Andrea Corsini et al
06-17-2021	A Self-supervised Method for Entity Alignment by Xiao Liu et al
06-16-2021	Contrastive Reinforcement Learning of Symbolic Reasoning Domains by Gabriel Poesia et al
06-16-2021	Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder by Qi Lyu et al
06-17-2021	Adversarial Visual Robustness by Causal Intervention by Kaihua Tang et al
06-17-2021	A Deep Reinforcement Learning Approach towards Pendulum Swing-up Problem based on TF-Agents by Yifei Bi et al
06-15-2021	Contextualizing Multiple Tasks via Learning to Decompose by Han-Jia Ye et al
06-17-2021	On Invariance Penalties for Risk Minimization by Kia Khezeli et al
06-15-2021	Decentralized Local Stochastic Extra-Gradient for Variational Inequalities by Aleksandr Beznosikov et al
06-16-2021	Real-time Attacks Against Deep Reinforcement Learning Policies by Buse G. A. Tekgul et al
06-16-2021	Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking by Ching-Yu Chiu et al
06-17-2021	Importance measures derived from random forests: characterisation and extension by Antonio Sutera
06-15-2021	Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation by Ilias Diakonikolas et al
06-18-2021	ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models by Tijin Yan et al
06-15-2021	Scene Transformer: A unified multi-task model for behavior prediction and planning by Jiquan Ngiam et al
06-17-2021	Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion by Xian-Jin Gui et al
06-17-2021	CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1 by Imme Ebert-Uphoff et al
06-17-2021	Shuffle Private Stochastic Convex Optimization by Albert Cheu et al
06-15-2021	Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations by Arsenii Ashukha et al
06-15-2021	Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization by Thomas Duboudin et al
06-15-2021	PairConnect: A Compute-Efficient MLP Alternative to Attention by Zhaozhuo Xu et al
06-16-2021	Predicting crop yields with little ground truth: A simple statistical model for in-season forecasting by Nemo Semret
06-16-2021	A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections by Dimitris Pappas et al
06-16-2021	Offline RL Without Off-Policy Evaluation by David Brandfonbrener et al
06-15-2021	Semantic Representation and Inference for NLP by Dongsheng Wang
06-15-2021	Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors by Junayed Mahmud et al
06-15-2021	Residual Reinforcement Learning from Demonstrations by Minttu Alakuijala et al
06-16-2021	Automatic Curricula via Expert Demonstrations by Siyu Dai et al
06-17-2021	On Anytime Learning at Macroscale by Lucas Caccia et al
06-15-2021	Towards Adversarial Robustness via Transductive Learning by Jiefeng Chen et al
06-15-2021	BEiT: BERT Pre-Training of Image Transformers by Hangbo Bao et al
06-17-2021	Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning by James Smith et al
06-17-2021	Towards Heterogeneous Clients with Elastic Federated Learning by Zichen Ma et al
06-18-2021	Zero-Shot Federated Learning with New Classes for Audio Classification by Gautham Krishna Gudur et al
06-15-2021	Multi-script Handwritten Digit Recognition Using Multi-task Learning by Mesay Samuel Gondere et al
06-15-2021	On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control by Amrit Singh Bedi et al
06-18-2021	World-GAN: a Generative Model for Minecraft Worlds by Maren Awiszus et al
06-18-2021	Fitting summary statistics of neural data with a differentiable spiking network simulator by Guillaume Bellec et al
06-18-2021	Being a Bit Frequentist Improves Bayesian Neural Networks by Agustinus Kristiadi et al
06-16-2021	Nonequilibrium thermodynamics of self-supervised learning by Domingos S. P. Salazar
06-17-2021	Stochastic Bias-Reduced Gradient Methods by Hilal Asi et al
06-16-2021	Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch by Hossein Souri et al
06-17-2021	Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification by Gaurav R. Ghosal et al
06-17-2021	Deep generative modeling for probabilistic forecasting in power systems by Jonathan Dumas et al
06-17-2021	Learning Knowledge Graph-based World Models of Textual Environments by Prithviraj Ammanabrolu et al
06-15-2021	Non-Gradient Manifold Neural Network by Rui Zhang et al
06-15-2021	Augmented Tensor Decomposition with Stochastic Optimization by Chaoqi Yang et al

06-15-2021	Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation by Truong-Vinh Hoang et al
06-16-2021	C3C3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues by Hung Le et al
06-16-2021	Towards Automatic Actor-Critic Solutions to Continuous Control by Jake Grigsby et al
06-18-2021	A Note on Optimizing Distributions using Kernel Mean Embeddings by Boris Muzellec et al
06-16-2021	Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training by Li-Ming Zhan et al
06-17-2021	Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison by Benedikt Schulz et al
06-17-2021	Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks by Shibo Li et al
06-17-2021	Locally Differentially Private Federated Learning: Efficient Algorithms with Tight Risk Bounds by Andrew Lowy et al
06-16-2021	Locality defeats the curse of dimensionality in convolutional teacher-student scenarios by Alessandro Favero et al
06-16-2021	The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries by Justin Kay et al
06-16-2021	Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation by Yuxin Xiao et al
06-16-2021	LiRA: Learning Visual Speech Representations from Audio through Self-supervision by Pingchuan Ma et al
06-16-2021	Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling by Di Jin et al
06-18-2021	Predicting gender of Brazilian names using deep learning by Rosana C. B. Rego et al
06-16-2021	PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System by Zhiyuan Qi et al
06-16-2021	Model-Based Counterfactual Synthesizer for Interpretation by Fan Yang et al
06-16-2021	Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation by Martin Gottwald et al
06-16-2021	Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments by Alejandro Mottini et al
06-16-2021	Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization by Chinmay Maheshwari et al
06-17-2021	Optimising simulations for diphoton production at hadron colliders using amplitude neural networks by Joseph Aylett-Bullock et al
06-15-2021	Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices by Thorir Mar Ingolfsson et al
06-18-2021	Learning to Plan via a Multi-Step Policy Regression Method by Stefan Wagner et al
06-18-2021	Residual Contrastive Learning for Joint Demosaicking and Denoising by Nanqing Dong et al
06-15-2021	Circa: Stochastic ReLUs for Private Deep Learning by Zahra Ghodsi et al
06-15-2021	Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty by Rongpeng Li
06-15-2021	Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance by Masaru Isonuma et al
06-15-2021	First Place Solution of KDD Cup 2021 OGB Large-Scale Challenge Graph-Level Track by Chengxuan Ying et al
06-17-2021	Guided Integrated Gradients: An Adaptive Path Method for Removing Noise by Andrei Kapishnikov et al
06-17-2021	Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks by Mohammad Mahdi Bejani et al
06-17-2021	Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing by Cameron Diao et al
06-15-2021	Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation by Po-Yu Chen et al
06-15-2021	Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features by Andrea Bommert et al
06-17-2021	Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention by Matthias Springstein et al
06-15-2021	CatBoost model with synthetic features in application to loan risk assessment of small businesses by Liexin Cheng et al
06-15-2021	Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness by Adam Foster et al
06-18-2021	Residual Error: a New Performance Measure for Adversarial Robustness by Hossein Aboutalebi et al
06-16-2021	Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better by Gaurav Menghani
06-18-2021	BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection by Yulin Zhu et al
06-16-2021	Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals by Junhui Cai et al
06-17-2021	LoRA: Low-Rank Adaptation of Large Language Models by Edward J. Hu et al
06-18-2021	Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection by Shucheng Li et al
06-17-2021	Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA by Hermanni Hälvä et al
06-17-2021	Autoencoder-based cleaning in probabilistic databases by R. R. Mauritz et al
06-17-2021	Causal Bias Quantification for Continuous Treatment by Gianluca Detommaso et al
06-17-2021	Unsupervised Resource Allocation with Graph Neural Networks by Miles Cranmer et al
06-16-2021	Mungojerrie: Reinforcement Learning of Linear-Time Objectives by Ernst Moritz Hahn et al
06-16-2021	mPyPl: Python Monadic Pipeline Library for Complex Functional Data Processing by Dmitry Soshnikov et al
06-18-2021	On the Connections between Counterfactual Explanations and Adversarial Examples by Martin Pawelczyk et al
06-17-2021	Orthogonal-Pad\e Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks by Koushik Biswas et al
06-17-2021	Class Balancing GAN with a Classifier in the Loop by Harsh Rangwani et al
06-15-2021	End-to-End Learning of Keypoint Representations for Continuous Control from Images by Rinu Boney et al
06-17-2021	Exploring the Properties and Evolution of Neural Network Eigenspaces during Training by Mats L. Richter et al
06-16-2021	Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation by Yahui Liu et al
06-16-2021	Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints by David Garcia-Soriano et al
06-16-2021	Evolving Image Compositions for Feature Representation Learning by Paola Cascante-Bonilla et al
06-15-2021	A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization by Risheng Liu et al
06-15-2021	Over-the-Air Decentralized Federated Learning by Yandong Shi et al
06-16-2021	Counterfactual Graphs for Explainable Classification of Brain Networks by Carlo Abrate et al
06-17-2021	Anomaly Detection in Dynamic Graphs via Transformer by Yixin Liu et al
06-17-2021	Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering by Zhengrui Ma et al
06-16-2021	Simultaneous Training of Partially Masked Neural Networks by Amirkeivan Mohtashami et al
06-18-2021	Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples by Maura Pintor et al
06-16-2021	Input Invex Neural Network by Suman Sapkota et al
06-15-2021	A Clinically Inspired Approach for Melanoma classification by Prathyusha Akundi et al
06-17-2021	Pruning Randomly Initialized Neural Networks with Iterative Randomization by Daiki Chijiwa et al
06-18-2021	Rational Shapley Values by David S. Watson
06-16-2021	Evaluating Gender Bias in Hindi-English Machine Translation by Gauri Gupta et al
06-16-2021	Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression by Zhongjie Yu et al
06-15-2021	Hypergraph Dissimilarity Measures by Amit Surana et al
06-15-2021	Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks by Byunggill Joe et al
06-16-2021	Automating Augmentation Through Random Unidimensional Search by Xiaomeng Dong et al
06-16-2021	Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization by Marco Rando et al
06-16-2021	Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints by Wei-Ning Chen et al
06-15-2021	Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis by Devang S Ram Mohan et al
06-16-2021	Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data by Haoming Jiang et al
06-18-2021	Problem Dependent View on Structured Thresholding Bandit Problems by James Cheshire et al
06-17-2021	Multi-Label Learning from Single Positive Labels by Elijah Cole et al
06-17-2021	Rotation Invariant Graph Neural Networks using Spin Convolutions by Muhammed Shuaibi et al
06-15-2021	A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving by Anthony Ngo et al
06-15-2021	Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path by Liyu Chen et al
06-15-2021	On the Objective Evaluation of Post Hoc Explainers by Zachariah Carmichael et al
06-17-2021	Large Scale Private Learning via Low-rank Reparametrization by Da Yu et al
06-17-2021	A Distance-based Separability Measure for Internal Cluster Validation by Shuyue Guan et al
06-17-2021	Wide stochastic networks: Gaussian limit and PAC-Bayesian training by Eugenio Clerico et al
06-17-2021	Coded Federated Learning Framework for AI-Based Mobile Application Services with Privacy-Awareness by Yuris Mulya Saputra et al
06-17-2021	Predicting cognitive scores with graph neural networks through sample selection learning by Martin Hanik et al
06-16-2021	Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI by Laxmi Pandey et al
06-15-2021	Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM) by Daniel Hopp
06-15-2021	Probabilistic Margins for Instance Reweighting in Adversarial Training by Qizhou Wang et al
06-15-2021	Privacy Assessment of Federated Learning using Private Personalized Layers by Théo Jourdan et al
06-16-2021	Grounding Spatio-Temporal Language with Transformers by Tristan Karch et al
06-16-2021	Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications by Alexander Wong et al
06-15-2021	Lorenz System State Stability Identification using Neural Networks by Megha Subramanian et al
06-18-2021	Accumulative Poisoning Attacks on Real-time Data by Tianyu Pang et al
06-16-2021	Multi-Class Classification from Single-Class Data with Confidences by Yuzhou Cao et al
06-18-2021	A Vertical Federated Learning Framework for Horizontally Partitioned Labels by Wensheng Xia et al
06-18-2021	On Contrastive Representations of Stochastic Processes by Emile Mathieu et al
06-16-2021	A Dataset-Level Geometric Framework for Ensemble Classifiers by Shengli Wu et al
06-18-2021	Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes by Will Tebbutt et al
06-15-2021	Predictive Modeling of Hospital Readmission: Challenges and Solutions by Shuwen Wang et al
06-18-2021	Adversarial Training Helps Transfer Learning via Better Representations by Zhun Deng et al
06-16-2021	Dual-view Molecule Pre-training by Jinhua Zhu et al
06-16-2021	Transductive Few-Shot Learning: Clustering is All You Need? by Imtiaz Masud Ziko et al
06-15-2021	Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning by WeiQin Chuah et al
06-16-2021	Optimal Accounting of Differential Privacy via Characteristic Function by Yuqing Zhu et al
06-16-2021	Adaptive Visibility Graph Neural Network and Its Application in Modulation Classification by Qi Xuan et al
06-15-2021	Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach by Johannes Rabold et al
06-18-2021	Being Properly Improper by Richard Nock et al
06-15-2021	Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression by Sheng Lin et al
06-15-2021	Voting for the right answer: Adversarial defense for speaker verification by Haibin Wu et al
06-15-2021	Detect and remove watermark in deep neural networks via generative adversarial networks by Haoqi Wang et al
06-17-2021	Bad Characters: Imperceptible NLP Attacks by Nicholas Boucher et al
06-17-2021	Gradient-free optimization of chaotic acoustics with reservoir computing by Francisco Huhn et al
06-17-2021	Topological Indoor Mapping through WiFi Signals by Bastian Schaefermeier et al
06-16-2021	FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator by Geng Yuan et al
06-15-2021	Robust Reinforcement Learning Under Minimax Regret for Green Security by Lily Xu et al
06-16-2021	Banker Online Mirror Descent by Jiatai Huang et al
06-16-2021	Best of both worlds: local and global explanations with human-understandable concepts by Jessica Schrouff et al
06-17-2021	Prototypical Graph Contrastive Learning by Shuai Lin et al
06-17-2021	Deep Learning Through the Lens of Example Difficulty by Robert J. N. Baldock et al
06-17-2021	Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction by Minhao Liu et al
06-17-2021	Adapting the Function Approximation Architecture in Online Reinforcement Learning by John D. Martin et al
06-16-2021	Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking by Ching-Yu Chiu et al
06-16-2021	A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams by Heitor Murilo Gomes et al
06-18-2021	An Investigation into Mini-Batch Rule Learning by Florian Beck et al
06-18-2021	Goal-Directed Planning by Reinforcement Learning and Active Inference by Dongqi Han et al
06-17-2021	CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing by Fan Wu et al
06-16-2021	Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism? by Nicolas Gast et al
06-18-2021	Its FLAN time! Summing feature-wise latent representations for interpretability by An-phi Nguyen et al
06-16-2021	Discrete Auto-regressive Variational Attention Models for Text Modeling by Xianghong Fang et al
06-16-2021	Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate by Xingyuan Sun et al
06-16-2021	Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks by Yutian Pang et al
06-15-2021	Causal Navigation by Continuous-time Neural Networks by Charles Vorbach et al
06-15-2021	Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data by Xiaoqiao Chen et al
06-18-2021	NoiseGrad: enhancing explanations by introducing stochasticity to model weights by Kirill Bykov et al
06-15-2021	Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images by Vishal Asnani et al
06-15-2021	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling by Mateusz Malinowski et al
06-15-2021	Developing a Fidelity Evaluation Approach for Interpretable Machine Learning by Mythreyi Velmurugan et al
06-17-2021	Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction by Colleen E. Charlton et al
06-15-2021	Machine Learning for Postprocessing Ensemble Streamflow Forecasts by Sanjib Sharma et al
06-16-2021	Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation by Srinadh Bhojanapalli et al
06-16-2021	Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure by Paul Henderson et al
06-17-2021	Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles by Anirudh Som et al
06-18-2021	On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data by Chenjun Xiao et al
06-16-2021	Probabilistic DAG Search by Julia Grosse et al
06-15-2021	Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis by Maximilian Dietrich et al
06-17-2021	Optimality and Stability in Federated Learning: A Game-theoretic Approach by Kate Donahue et al
06-17-2021	Gone Fishing: Neural Active Learning with Fisher Embeddings by Jordan T. Ash et al

06-16-2021	Topology Distillation for Recommender System by SeongKu Kang et al
06-18-2021	Deterministic Gibbs Sampling via Ordinary Differential Equations by Kirill Neklyudov et al
06-18-2021	How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers by Andreas Steiner et al
06-15-2021	Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery by Peiyuan Gao et al
06-15-2021	Perceptually-inspired super-resolution of compressed videos by Di Ma et al
06-17-2021	LSEC: Large-scale spectral ensemble clustering by Hongmin Li et al
06-17-2021	Voice2Series: Reprogramming Acoustic Models for Time Series Classification by Chao-Han Huck Yang et al
06-16-2021	To Raise or Not To Raise: The Autonomous Learning Rate Question by Xiaomeng Dong et al
06-16-2021	Non-PSD Matrix Sketching with Applications to Regression and Optimization by Zhili Feng et al
06-15-2021	Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages by Yi Luo et al
06-16-2021	Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems by Sara Mohammadinejad et al
06-16-2021	KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support by Pierre Glaser et al
06-15-2021	Development of Quantized DNN Library for Exact Hardware Emulation by Masato Kiyama et al
06-15-2021	Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy by Tim Prangemeier et al
06-15-2021	Query Embedding on Hyper-relational Knowledge Graphs by Dimitrios Alivanistos et al
06-16-2021	Algorithm to Compilation Co-design: An Integrated View of Neural Network Sparsity by Fu-Ming Guo et al
06-18-2021	Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning by Junyuan Hong et al
06-17-2021	Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers by Luke Marris et al
06-16-2021	Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework by Jiahao Su et al
06-18-2021	Evolving GANs: When Contradictions Turn into Compliance by Sauptik Dhar et al
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06-16-2021	A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness by James Diffenderfer et al
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06-15-2021	Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsofts Submission to SwissText 2021 by Yuriy Arabskyy et al
06-16-2021	On the long-term learning ability of LSTM LMs by Wim Boes et al
06-18-2021	pyWATTS: Python Workflow Automation Tool for Time Series by Benedikt Heidrich et al
06-18-2021	The Dimpled Manifold Model of Adversarial Examples in Machine Learning by Adi Shamir et al
06-18-2021	Learning to Generate Code Sketches by Daya Guo et al
06-18-2021	FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks by Yi-Ling Hsu et al
06-16-2021	Multilinear Dirichlet Processes by Xiaoli Li
06-15-2021	CausalNLP: A Practical Toolkit for Causal Inference with Text by Arun S. Maiya
06-18-2021	BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models by Elad Ben Zaken et al
06-15-2021	Natural continual learning: success is a journey, not (just) a destination by Ta-Chu Kao et al
06-16-2021	Knowledge-Adaptation Priors by Mohammad Emtiyaz Khan et al
06-17-2021	Unsupervised Path Representation Learning with Curriculum Negative Sampling by Sean Bin Yang et al
06-16-2021	On the Power of Preconditioning in Sparse Linear Regression by Jonathan Kelner et al
06-16-2021	Learning from Demonstration without Demonstrations by Tom Blau et al
06-16-2021	Regularization of Mixture Models for Robust Principal Graph Learning by Tony Bonnaire et al
06-17-2021	Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention by Efthymios Tzinis et al
06-17-2021	PAC Prediction Sets Under Covariate Shift by Sangdon Park et al
06-16-2021	Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL by Catherine Cang et al
06-16-2021	TSO: Curriculum Generation using continuous optimization by Dipankar Sarkar et al
06-16-2021	Safe Reinforcement Learning Using Advantage-Based Intervention by Nolan Wagener et al
06-16-2021	An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data by Lev V. Utkin et al
06-15-2021	COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter by Karishma Sharma et al
06-17-2021	Statistical Query Lower Bounds for List-Decodable Linear Regression by Ilias Diakonikolas et al
06-15-2021	SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients by Feihu Huang et al
06-17-2021	PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes by Peter Grünwald et al
06-16-2021	Memorization and Generalization in Neural Code Intelligence Models by Md Rafiqul Islam Rabin et al
06-18-2021	Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System by Jinhan Wang et al
06-15-2021	Graph-based Label Propagation for Semi-Supervised Speaker Identification by Long Chen et al
06-16-2021	Automatic Construction of Evaluation Suites for Natural Language Generation Datasets by Simon Mille et al
06-16-2021	Automatic Main Character Recognition for Photographic Studies by Mert Seker et al
06-16-2021	SPeCiaL: Self-Supervised Pretraining for Continual Learning by Lucas Caccia et al
06-18-2021	On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech by Katrin Tomanek et al
06-16-2021	Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding by Luka Murn et al
06-16-2021	Scalable Quasi-Bayesian Inference for Instrumental Variable Regression by Ziyu Wang et al
06-15-2021	Multi-Resolution Continuous Normalizing Flows by Vikram Voleti et al
06-15-2021	Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset by Luis Felipe Henriques et al
06-18-2021	Bridging the Gap Between Object Detection and User Intent via Query-Modulation by Marco Fornoni et al
06-16-2021	Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning by Colin Wei et al
06-18-2021	Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks by Suyoung Lee et al
06-16-2021	Optimum-statistical collaboration towards efficient black-box optimization by Wenjie Li et al
06-15-2021	Revisiting the Calibration of Modern Neural Networks by Matthias Minderer et al
06-15-2021	Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering by Cheng Feng et al
06-16-2021	Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery by Junhui Zhang et al
06-16-2021	HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning by Hayeon Lee et al
06-15-2021	Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation by Dawood Al Chanti et al
06-15-2021	Kernel Identification Through Transformers by Fergus Simpson et al
06-15-2021	Thompson Sampling for Unimodal Bandits by Long Yang et al
06-17-2021	Gradual Domain Adaptation via Self-Training of Auxiliary Models by Yabin Zhang et al
06-17-2021	Effective Model Sparsification by Scheduled Grow-and-Prune Methods by Xiaolong Ma et al
06-16-2021	Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization by Gaspard Beugnot et al
06-17-2021	BABEL: Bodies, Action and Behavior with English Labels by Abhinanda R. Punnakkal et al
06-16-2021	Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning by Hayata Yamasaki et al
06-17-2021	Efficient Self-supervised Vision Transformers for Representation Learning by Chunyuan Li et al
06-16-2021	Towards a Rigorous Theoretical Analysis and Evaluation of GNN Explanations by Chirag Agarwal et al
06-18-2021	Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks by Emre Ozfatura et al
06-18-2021	Investigating the Role of Negatives in Contrastive Representation Learning by Jordan T. Ash et al
06-16-2021	QuantumFed: A Federated Learning Framework for Collaborative Quantum Training by Qi Xia et al
06-17-2021	Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay by Yoojin Choi et al
06-15-2021	Compression Implies Generalization by Allan Grønlund et al
06-16-2021	ParticleAugment: Sampling-Based Data Augmentation by Alexander Tsaregorodtsev et al
06-15-2021	SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods by Hyeoncheol Cho et al
06-16-2021	RHNAS: Realizable Hardware and Neural Architecture Search by Yash Akhauri et al
06-17-2021	Secure Multi-Function Computation with Private Remote Sources by Onur Günlü et al
06-17-2021	Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators by Zhe Bai et al
06-17-2021	Joining datasets via data augmentation in the label space for neural networks by Jake Zhao et al
06-17-2021	On the Dark Side of Calibration for Modern Neural Networks by Aditya Singh et al
06-15-2021	On Multi-objective Policy Optimization as a Tool for Reinforcement Learning by Abbas Abdolmaleki et al
06-16-2021	Physics-informed CoKriging model of a redox flow battery by Amanda A. Howard et al
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06-16-2021	How memory architecture affects performance and learning in simple POMDPs by Mario Geiger et al
06-16-2021	Directed Graph Embeddings in Pseudo-Riemannian Manifolds by Aaron Sim et al
06-17-2021	On the training of sparse and dense deep neural networks: less parameters, same performance by Lorenzo Chicchi et al
06-17-2021	Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity by Scott Pesme et al
06-17-2021	XCiT: Cross-Covariance Image Transformers by Alaaeldin El-Nouby et al
06-17-2021	Modelling resource allocation in uncertain system environment through deep reinforcement learning by Neel Gandhi et al
06-16-2021	A unifying point of view on expressive power of GNNs by Giuseppe Alessio D'Inverno et al
06-16-2021	mSHAP: SHAP Values for Two-Part Models by Spencer Matthews et al
06-17-2021	WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis by Nanxin Chen et al
06-15-2021	Online Learning with Uncertain Feedback Graphs by Pouya M Ghari et al
06-17-2021	Poisoning and Backdooring Contrastive Learning by Nicholas Carlini et al
06-15-2021	Reproducing Kernel Hilbert Space, Mercers Theorem, Eigenfunctions, Nystr\om Method, and Use of Kernels in Machine Learning: Tutorial and Survey by Benyamin Ghojogh et al
06-17-2021	Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimers Dementia recognition from spontaneous speech by Morteza Rohanian et al
06-18-2021	A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization by Xinjie Lan et al
06-15-2021	RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests by Cansu Alakus et al
06-17-2021	Frustratingly Easy Transferability Estimation by Long-Kai Huang et al
06-15-2021	Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States by Jack Y. Araz et al
06-18-2021	Boolean Matrix Factorization with SAT and MaxSAT by Florent Avellaneda et al
06-15-2021	Correlation Clustering in Constant Many Parallel Rounds by Vincent Cohen-Addad et al
06-17-2021	AI-Enabled Ultra-Low-Dose CT Reconstruction by Weiwen Wu et al
06-18-2021	Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition by Ruirui Li et al
06-16-2021	DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting by Shaoru Chen et al
06-17-2021	A Short Note of PAGE: Optimal Convergence Rates for Nonconvex Optimization by Zhize Li
06-15-2021	An Analytical Theory of Curriculum Learning in Teacher-Student Networks by Luca Saglietti et al
06-18-2021	Nonparametric Hamiltonian Monte Carlo by Carol Mak et al
06-18-2021	The Principles of Deep Learning Theory by Daniel A. Roberts et al
06-17-2021	Biomedical Interpretable Entity Representations by Diego Garcia-Olano et al
06-15-2021	A White Paper on Neural Network Quantization by Markus Nagel et al
06-15-2021	Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information by Tommy Li et al
06-15-2021	On the Power of Multitask Representation Learning in Linear MDP by Rui Lu et al
06-15-2021	Dynamically Grown Generative Adversarial Networks by Lanlan Liu et al
06-15-2021	CODA: Constructivism Learning for Instance-Dependent Dropout Architecture Construction by Xiaoli Li
06-15-2021	Bridge Networks by Wilkie Olin-Ammentorp et al
06-18-2021	A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention by Tomoki Watanabe et al
06-17-2021	Design and Analysis of Robust Deep Learning Models for Stock Price Prediction by Jaydip Sen et al
06-17-2021	Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting by Frederic Koehler et al
06-15-2021	Credit Assignment in Neural Networks through Deep Feedback Control by Alexander Meulemans et al
06-15-2021	Scaling Neural Tangent Kernels via Sketching and Random Features by Amir Zandieh et al
06-15-2021	Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models by Jaemoo Choi et al
06-15-2021	Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations by Akhilan Boopathy et al
06-16-2021	Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation by Eraldo Pereira Marinho
06-15-2021	Deep Reinforcement Learning for Conservation Decisions by Marcus Lapeyrolerie et al
06-15-2021	Cascading Convolutional Temporal Colour Constancy by Matteo Rizzo et al
06-16-2021	Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis by Shichong Peng et al
06-17-2021	Heuristic Stopping Rules For Technology-Assisted Review by Eugene Yang et al
06-17-2021	Smoothed Multi-View Subspace Clustering by Peng Chen et al
06-16-2021	Localized Uncertainty Attacks by Ousmane Amadou Dia et al
06-16-2021	Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification by Zhengzheng Tang et al
06-15-2021	Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems by Sayyed Mohsen Vazirizade et al
06-17-2021	Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study by Rahul Nadkarni et al
06-17-2021	Spectral goodness-of-fit tests for complete and partial network data by Shane Lubold et al
06-18-2021	MADE: Exploration via Maximizing Deviation from Explored Regions by Tianjun Zhang et al
06-17-2021	A Simple Generative Network by Daniel N. Nissani
06-15-2021	S-LIME: Stabilized-LIME for Model Explanation by Zhengze Zhou et al

06-17-2021	On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks by Antonello Rosato et al
06-18-2021	Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance by Iñigo Martinez et al
06-15-2021	Sequence-Level Training for Non-Autoregressive Neural Machine Translation by Chenze Shao et al
06-16-2021	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation by Haoxiang Wang et al
06-16-2021	Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework by Geng Yuan et al
06-18-2021	Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result by Maytus Piriyajitakonkij et al
06-18-2021	Distributed Deep Learning in Open Collaborations by Michael Diskin et al
06-15-2021	Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT) by Gunnar König et al
06-18-2021	An Empirical Investigation into Deep and Shallow Rule Learning by Florian Beck et al
06-18-2021	Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems by Luofeng Liao et al
06-15-2021	Hotel Recognition via Latent Image Embedding by Boris Tseytlin et al
06-15-2021	Learning Revenue-Maximizing Auctions With Differentiable Matching by Michael J. Curry et al
06-17-2021	CoANE: Modeling Context Co-occurrence for Attributed Network Embedding by I-Chung Hsieh et al
06-15-2021	Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral by Lang Liu et al
06-17-2021	Federated CycleGAN for Privacy-Preserving Image-to-Image Translation by Joonyoung Song et al
06-17-2021	Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks by Yulong Cao* et al
06-15-2021	CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals by Efrat Levy et al
06-15-2021	S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks by Jianlei Yang et al
06-16-2021	Self-supervised GANs with Label Augmentation by Liang Hou et al
06-18-2021	Steerable Partial Differential Operators for Equivariant Neural Networks by Erik Jenner et al
06-16-2021	Unbiased Methods for Multi-Goal Reinforcement Learning by Léonard Blier et al
06-15-2021	Coupled Gradient Estimators for Discrete Latent Variables by Zhe Dong et al
06-15-2021	An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises by Mayana Pereira et al
06-17-2021	Quantized Federated Learning under Transmission Delay and Outage Constraints by Yanmeng Wang et al
06-15-2021	Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent by Jason M. Altschuler et al
06-18-2021	Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining by Oriel Frigo et al
06-16-2021	A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection by Jie Ren et al
06-16-2021	Disentangling Online Chats with DAG-Structured LSTMs by Duccio Pappadopulo et al
06-18-2021	Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks by Chao Sun et al
06-18-2021	Riemannian Convex Potential Maps by Samuel Cohen et al
06-17-2021	Hi-Phy: A Benchmark for Hierarchical Physical Reasoning by Cheng Xue et al
06-16-2021	Robust Training in High Dimensions via Block Coordinate Geometric Median Descent by Anish Acharya et al
06-15-2021	Control Variates for Slate Off-Policy Evaluation by Nikos Vlassis et al
06-16-2021	Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks by Meng Liu et al
06-17-2021	Trainable Discrete Feature Embeddings for Variational Quantum Classifier by Napat Thumwanit et al
06-15-2021	ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling by Ashish Shenoy et al
06-15-2021	CRFL: Certifiably Robust Federated Learning against Backdoor Attacks by Chulin Xie et al
06-18-2021	Message Passing in Graph Convolution Networks via Adaptive Filter Banks by Xing Gao et al
06-15-2021	Efficient Black-Box Importance Sampling for VaR and CVaR Estimation by Anand Deo et al