2021.6.28 Learning papers

06-25-2021	Building Intelligent Autonomous Navigation Agents by Devendra Singh Chaplot
06-24-2021	Tensor networks for unsupervised machine learning by Jing Liu et al
06-23-2021	Alias-Free Generative Adversarial Networks by Tero Karras et al
06-23-2021	All unconstrained strongly convex problems are weakly simplicial by Yusuke Mizota et al
06-24-2021	Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech by Raahil Shah et al
06-24-2021	Privacy Threats Analysis to Secure Federated Learning by Yuchen Li et al
06-25-2021	Shape registration in the time of transformers by Giovanni Trappolini et al
06-25-2021	Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy by Xinwei Zhang et al
06-22-2021	A Practical & Unified Notation for Information-Theoretic Quantities in ML by Andreas Kirsch et al
06-22-2021	LV-BERT: Exploiting Layer Variety for BERT by Weihao Yu et al
06-22-2021	User Identification across Social Networking Sites using User Profiles and Posting Patterns by Prashant Solanki et al
06-24-2021	SALT: Sea lice Adaptive Lattice Tracking -- An Unsupervised Approach to Generate an Improved Ocean Model by Ju An Park et al
06-24-2021	Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy by Christopher J. Anders et al
06-22-2021	Bregman Gradient Policy Optimization by Feihu Huang et al
06-23-2021	Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning by Hua Huang et al
06-24-2021	Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles by Chenru Duan et al
06-22-2021	Its All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning by Alexey Tikhonov et al
06-25-2021	Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments by Amir Ivry et al
06-23-2021	Reimagining GNN Explanations with ideas from Tabular Data by Anjali Singh et al
06-24-2021	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting by Haixu Wu et al
06-25-2021	Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification by Yan Liu et al
06-22-2021	NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data by I-Chung Hsieh et al
06-22-2021	Recurrent Neural Network from Adders Perspective: Carry-lookahead RNN by Haowei Jiang et al
06-25-2021	Deep Interpretable Criminal Charge Prediction and Algorithmic Bias by Abdul Rafae Khan et al
06-23-2021	Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling by Saeed Mohammadzadeh et al
06-24-2021	Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models by Robert L. Logan et al
06-23-2021	Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations by Charaf Eddine Benarab
06-22-2021	The Hitchhikers Guide to Prior-Shift Adaptation by Tomas Sipka et al
06-24-2021	VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs by Hieu T. Nguyen et al
06-25-2021	Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot by Quentin Gallouédec et al
06-25-2021	A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems by Peipei Tang et al
06-25-2021	Robust Matrix Factorization with Grouping Effect by Haiyan Jiang et al
06-22-2021	Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes by Jai Moondra et al
06-24-2021	Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers by Patrick R. Johnstone et al
06-24-2021	Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics by Diego Agudelo-España et al
06-24-2021	Efficient Tensor Contraction via Fast Count Sketch by Xingyu Cao et al
06-25-2021	Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions by Chengshuai Shi et al
06-24-2021	A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language by Nawshad Farruque et al
06-23-2021	BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing by Zeyd Boukhers et al
06-24-2021	Evaluation of Saliency-based Explainability Method by Sam Zabdiel Sunder Samuel et al
06-24-2021	Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders by Khushwant Rai et al
06-22-2021	A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions by Andreas Kirsch et al
06-24-2021	byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings by Xiang Zhang et al
06-24-2021	Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning by Alexander G. Ororbia
06-22-2021	Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks by Xinlu Zhang et al
06-22-2021	MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning by Zhiwei Xu et al
06-22-2021	Particle Cloud Generation with Message Passing Generative Adversarial Networks by Raghav Kansal et al
06-22-2021	Graph Routing between Capsules by Yang Li et al
06-22-2021	NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs by Mikhail Galkin et al
06-24-2021	Abstraction of Markov Population Dynamics via Generative Adversarial Nets by Francesca Cairoli et al
06-22-2021	IQ-Learn: Inverse soft-Q Learning for Imitation by Divyansh Garg et al
06-24-2021	Lettuce: PyTorch-based Lattice Boltzmann Framework by Mario Christopher Bedrunka et al
06-24-2021	Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality by Stefanos Leonardos et al
06-23-2021	Using machine learning techniques to predict hospital admission at the emergency department by Georgios Feretzakis et al
06-23-2021	Learnt Sparsification for Interpretable Graph Neural Networks by Mandeep Rathee et al
06-23-2021	Understanding Modern Techniques in Optimization: Frank-Wolfe, Nesterovs Momentum, and Polyaks Momentum by Jun-Kun Wang
06-23-2021	Stock Market Analysis with Text Data: A Review by Kamaladdin Fataliyev et al
06-22-2021	Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting by Armand Jordana et al
06-25-2021	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis by Clayton Miller et al
06-22-2021	Robust Regression Revisited: Acceleration and Improved Estimation Rates by Arun Jambulapati et al
06-23-2021	Extreme Multi-label Learning for Semantic Matching in Product Search by Wei-Cheng Chang et al
06-23-2021	Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis by Xianlong Zeng et al
06-24-2021	Geometric learning of the conformational dynamics of molecules using dynamic graph neural networks by Michael Hunter Ashby et al
06-23-2021	Handwritten Digit Recognition using Machine and Deep Learning Algorithms by Samay Pashine et al
06-25-2021	HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters by Gabriel Appleby et al
06-24-2021	Multi-Robot Deep Reinforcement Learning for Mobile Navigation by Katie Kang et al
06-24-2021	Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control by Thai Duong et al
06-25-2021	A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN) by Tianle Yue et al
06-22-2021	Data Augmentation for Opcode Sequence Based Malware Detection by Niall McLaughlin et al
06-22-2021	A Clustering-based Framework for Classifying Data Streams by Xuyang Yan et al
06-24-2021	Disease Progression Modeling Workbench 360 by Parthasarathy Suryanarayanan et al
06-22-2021	Speeding Up OPFython with Numba by Gustavo H. de Rosa et al
06-22-2021	Learning Identity-Preserving Transformations on Data Manifolds by Marissa Connor et al
06-22-2021	Credal Self-Supervised Learning by Julian Lienen et al
06-23-2021	groupShapley: Efficient prediction explanation with Shapley values for feature groups by Martin Jullum et al
06-24-2021	Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View by Shuang Li et al
06-22-2021	Provably Efficient Representation Learning in Low-rank Markov Decision Processes by Weitong Zhang et al
06-22-2021	Continuous-Depth Neural Models for Dynamic Graph Prediction by Michael Poli et al
06-23-2021	Imitation Learning: Progress, Taxonomies and Opportunities by Boyuan Zheng et al
06-22-2021	Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers by Apratim Bhattacharyya et al
06-24-2021	A Source-Criticism Debiasing Method for GloVe Embeddings by Hope McGovern
06-22-2021	Secure Domain Adaptation with Multiple Sources by Serban Stan et al
06-24-2021	Information Bottleneck: Exact Analysis of (Quantized) Neural Networks by Stephan Sloth Lorenzen et al
06-23-2021	Real-time Spatio-temporal Event Detection on Geotagged Social Media by Yasmeen George et al
06-24-2021	Generalized One-Class Learning Using Pairs of Complementary Classifiers by Anoop Cherian et al
06-23-2021	Deep Fake Detection: Survey of Facial Manipulation Detection Solutions by Samay Pashine et al
06-23-2021	Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals by Yuanhao Li et al
06-25-2021	VEGN: Variant Effect Prediction with Graph Neural Networks by Jun Cheng et al

06-23-2021	Innovations Autoencoder and its Application in Real-Time Anomaly Detection by Xinyi Wang et al
06-23-2021	Machine learning structure preserving brackets for forecasting irreversible processes by Kookjin Lee et al
06-22-2021	Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective by Ning Zhang et al
06-23-2021	Minimum sharpness: Scale-invariant parameter-robustness of neural networks by Hikaru Ibayashi et al
06-24-2021	Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation by Yunhao Tang et al
06-24-2021	Towards Fully Interpretable Deep Neural Networks: Are We There Yet? by Sandareka Wickramanayake et al
06-24-2021	Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation by George Worrall et al
06-22-2021	Dangers of Bayesian Model Averaging under Covariate Shift by Pavel Izmailov et al
06-23-2021	Neural ODE to model and prognose thermoacoustic instability by Jayesh Dhadphale et al
06-23-2021	Numerical influence of ReLU(0) on backpropagation by David Bertoin et al
06-23-2021	LApprentissage Automatique dans la planification et le contr{\^o}le de la production : un {\e}tat de lart by Juan Pablo Usuga Cadavid et al
06-22-2021	Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks by Fan Liu et al
06-22-2021	Neural Networks for Dengue Prediction: A Systematic Review by Kirstin Roster et al
06-24-2021	Task-agnostic Continual Learning with Hybrid Probabilistic Models by Polina Kirichenko et al
06-23-2021	Synthetic Benchmarks for Scientific Research in Explainable Machine Learning by Yang Liu et al
06-22-2021	Pure Exploration in Kernel and Neural Bandits by Yinglun Zhu et al
06-24-2021	Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks by Aditya Nandy et al
06-25-2021	DeepLoc: A Ubiquitous Accurate and Low-Overhead Outdoor Cellular Localization System by Ahmed Shokry et al
06-23-2021	ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models by Louis Rouillard et al
06-23-2021	Distilling the Knowledge from Normalizing Flows by Dmitry Baranchuk et al
06-25-2021	InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents by Ning Miao et al
06-25-2021	Connecting Sphere Manifolds Hierarchically for Regularization by Damien Scieur et al
06-24-2021	A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs by Andrea Tirinzoni et al
06-23-2021	Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs by Arthur Drichel et al
06-23-2021	Random Effect Bandits by Rong Zhu et al
06-24-2021	Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design by Yue Cao et al
06-25-2021	Private Adaptive Gradient Methods for Convex Optimization by Hilal Asi et al
06-23-2021	Teacher Model Fingerprinting Attacks Against Transfer Learning by Yufei Chen et al
06-23-2021	Real-time gravitational-wave science with neural posterior estimation by Maximilian Dax et al
06-24-2021	Covariance-Aware Private Mean Estimation Without Private Covariance Estimation by Gavin Brown et al
06-22-2021	Asynchronous Stochastic Optimization Robust to Arbitrary Delays by Alon Cohen et al
06-24-2021	RikoNet: A Novel Anime Recommendation Engine by Badal Soni et al
06-22-2021	Randomness In Neural Network Training: Characterizing The Impact of Tooling by Donglin Zhuang et al
06-24-2021	Unsupervised Topic Segmentation of Meetings with BERT Embeddings by Alessandro Solbiati et al
06-22-2021	Test-time Collective Prediction by Celestine Mendler-Dünner et al
06-23-2021	Co-advise: Cross Inductive Bias Distillation by Sucheng Ren et al
06-24-2021	Decomposed Mutual Information Estimation for Contrastive Representation Learning by Alessandro Sordoni et al
06-24-2021	Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs by Vijay Lingam et al
06-24-2021	Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data by Paul Pu Liang et al
06-25-2021	Conjugate Energy-Based Models by Hao Wu et al
06-25-2021	Online Self-Attentive Gated RNNs for Real-Time Speaker Separation by Ori Kabeli et al
06-25-2021	Deep Residual Echo Suppression with A Tunable Tradeoff Between Signal Distortion and Echo Suppression by Amir Ivry et al
06-25-2021	Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems by Tianyi Chen et al
06-25-2021	Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent by Spencer Frei et al
06-23-2021	Training Data Subset Selection for Regression with Controlled Generalization Error by Durga Sivasubramanian et al
06-23-2021	DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing by Woosub Jung et al
06-25-2021	Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote by Yi-Shan Wu et al
06-24-2021	Evaluation of Representation Models for Text Classification with AutoML Tools by Sebastian Brändle et al
06-25-2021	Assessing the Lockdown Effects on Air Quality during COVID-19 Era by Ioannis Kavouras et al
06-23-2021	Leveraging semantically similar queries for ranking via combining representations by Hayden S. Helm et al
06-25-2021	Reinforcement Learning for Mean Field Games, with Applications to Economics by Andrea Angiuli et al
06-25-2021	Nonlinear Acoustic Echo Cancellation with Deep Learning by Amir Ivry et al
06-24-2021	Promises and Pitfalls of Black-Box Concept Learning Models by Anita Mahinpei et al
06-23-2021	AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks by Alexandra Peste et al
06-23-2021	Real-time Neural Radiance Caching for Path Tracing by Thomas Müller et al
06-23-2021	Provably efficient machine learning for quantum many-body problems by Hsin-Yuan Huang et al
06-23-2021	Learning Multimodal VAEs through Mutual Supervision by Tom Joy et al
06-22-2021	DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? by Archit Uniyal et al
06-23-2021	Weisfeiler and Lehman Go Cellular: CW Networks by Cristian Bodnar et al
06-23-2021	False perfection in machine prediction: Detecting and assessing circularity problems in machine learning by Michael Hagmann et al
06-24-2021	What will it take to generate fairness-preserving explanations? by Jessica Dai et al
06-24-2021	Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI by Mengwei Ren et al
06-25-2021	Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation by Mehdi Rezaie et al
06-22-2021	Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation by Jiafan He et al
06-23-2021	Feature Alignment for Approximated Reversibility in Neural Networks by Tiago de Souza Farias et al
06-22-2021	Lower and Upper Bounds on the VC-Dimension of Tensor Network Models by Behnoush Khavari et al
06-22-2021	A Deep Latent Space Model for Graph Representation Learning by Hanxuan Yang et al
06-23-2021	Label Disentanglement in Partition-based Extreme Multilabel Classification by Xuanqing Liu et al
06-24-2021	GNMR: A provable one-line algorithm for low rank matrix recovery by Pini Zilber et al
06-25-2021	Subgraph Federated Learning with Missing Neighbor Generation by Ke Zhang et al
06-25-2021	A hybrid model-based and learning-based approach for classification using limited number of training samples by Alireza Nooraiepour et al
06-24-2021	A Construction Kit for Efficient Low Power Neural Network Accelerator Designs by Petar Jokic et al
06-22-2021	Reinforcement learning for PHY layer communications by Philippe Mary et al
06-22-2021	A Vertical Federated Learning Framework for Graph Convolutional Network by Xiang Ni et al
06-25-2021	Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning by Alec Farid et al
06-23-2021	Sampling with Mirrored Stein Operators by Jiaxin Shi et al
06-22-2021	Near-Optimal Linear Regression under Distribution Shift by Qi Lei et al
06-22-2021	The Rate of Convergence of Variation-Constrained Deep Neural Networks by Gen Li et al
06-25-2021	Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets by Amir Ivry et al
06-22-2021	Towards Automated Evaluation of Explanations in Graph Neural Networks by Vanya BK et al
06-22-2021	Graph coarsening: From scientific computing to machine learning by Jie Chen et al
06-23-2021	Gradient-Based Interpretability Methods and Binarized Neural Networks by Amy Widdicombe et al
06-23-2021	Feature Attributions and Counterfactual Explanations Can Be Manipulated by Dylan Slack et al
06-23-2021	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding by Shengjie Luo et al
06-24-2021	A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs by Hanxi Sun et al
06-25-2021	Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations by Noorul Wahab et al
06-23-2021	Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation by Zeinab Khodaverdian et al
06-23-2021	Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds by Balamurali B T et al
06-22-2021	Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw by Jan Chorowski et al

06-22-2021	Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models by Lenart Treven et al
06-24-2021	Mix and Mask Actor-Critic Methods by Dom Huh
06-24-2021	Fine-grained Geolocation Prediction of Tweets with Human Machine Collaboration by Florina Dutt et al
06-23-2021	A Unified Approach to Fair Online Learning via Blackwell Approachability by Evgenii Chzhen et al
06-22-2021	Exploring the Representational Power of Graph Autoencoder by Maroun Haddad et al
06-22-2021	MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI by Taro Langner et al
06-22-2021	FLEA: Provably Fair Multisource Learning from Unreliable Training Data by Eugenia Iofinova et al
06-22-2021	Lifted Model Checking for Relational MDPs by Wen-Chi Yang et al
06-22-2021	Symplectic Learning for Hamiltonian Neural Networks by Marco David et al
06-24-2021	You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks by Eli Chien et al
06-25-2021	Reliable Graph Neural Network Explanations Through Adversarial Training by Donald Loveland et al
06-25-2021	Federated Graph Classification over Non-IID Graphs by Han Xie et al
06-25-2021	Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies by Anastasios Zouzias et al
06-24-2021	Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes by Benjamin Keltjens et al
06-24-2021	Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport by Hengxu Lin et al
06-24-2021	Rate Distortion Characteristic Modeling for Neural Image Compression by Chuanmin Jia et al
06-25-2021	Littlestone Classes are Privately Online Learnable by Noah Golowich et al
06-25-2021	Temporal Graph Signal Decomposition by Maxwell McNeil et al
06-25-2021	Multi-Domain Active Learning: A Comparative Study by Rui He et al
06-22-2021	Rank-one matrix estimation with groupwise heteroskedasticity by Joshua K. Behne et al
06-22-2021	Deep Stereo Image Compression with Decoder Side Information using Wyner Common Information by Nitish Mital et al
06-23-2021	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks by Hengrui Zhang et al
06-22-2021	Stochastic Polyak Stepsize with a Moving Target by Robert M. Gower et al
06-22-2021	MEAL: Manifold Embedding-based Active Learning by Deepthi Sreenivasaiah et al
06-23-2021	Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach by Çağkan Yapar et al
06-22-2021	Towards Reducing Labeling Cost in Deep Object Detection by Ismail Elezi et al
06-22-2021	Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems by Zhiqiang Gong et al
06-22-2021	Towards Consistent Predictive Confidence through Fitted Ensembles by Navid Kardan et al
06-22-2021	Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic by Ye Jiang et al
06-23-2021	ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions by Luigi Carratino et al
06-23-2021	GraphConfRec: A Graph Neural Network-Based Conference Recommender System by Andreea Iana et al
06-22-2021	Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training by Anup Sarma et al
06-23-2021	Sparse Flows: Pruning Continuous-depth Models by Lucas Liebenwein et al
06-22-2021	Adaptive Learning Rate and Momentum for Training Deep Neural Networks by Zhiyong Hao et al
06-24-2021	Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding by Zipeng Liu et al
06-24-2021	On the (Un-)Avoidability of Adversarial Examples by Sadia Chowdhury et al
06-24-2021	Accelerating variational quantum algorithms with multiple quantum processors by Yuxuan Du et al
06-22-2021	Notes on the H-measure of classifier performance by D. J. Hand et al
06-25-2021	Binary Matrix Factorisation and Completion via Integer Programming by Reka A. Kovacs et al
06-22-2021	Machine Learning for Model Order Selection in MIMO OFDM Systems by Brenda Vilas Boas et al
06-24-2021	TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration by Dongjin Choi et al
06-24-2021	Density Constrained Reinforcement Learning by Zengyi Qin et al
06-24-2021	A review of systematic selection of clustering algorithms and their evaluation by Marc Wegmann et al
06-24-2021	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting by Zheng Fang et al
06-24-2021	Fundamental limits for learning hidden Markov model parameters by Kweku Abraham et al
06-23-2021	Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis by Xiaofeng Liu et al
06-23-2021	Universal Consistency of Deep Convolutional Neural Networks by Shao-Bo Lin et al
06-25-2021	Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance by Alex Hagen et al
06-22-2021	Detecting Anomalous User Behavior in Remote Patient Monitoring by Deepti Gupta et al
06-22-2021	Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects by Julius von Kügelgen et al
06-24-2021	Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model by Rui Meng et al
06-23-2021	Better Algorithms for Individually Fair kk-Clustering by Deeparnab Chakrabarty et al
06-22-2021	Repulsive Deep Ensembles are Bayesian by Francesco D'Angelo et al
06-22-2021	Q-Learning Lagrange Policies for Multi-Action Restless Bandits by Jackson A. Killian et al
06-22-2021	The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes by R. Kenny Jones et al
06-22-2021	Active Learning under Pool Set Distribution Shift and Noisy Data by Andreas Kirsch et al
06-25-2021	Self-training Converts Weak Learners to Strong Learners in Mixture Models by Spencer Frei et al
06-24-2021	Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation by Wanqing Xie et al
06-22-2021	Diabetic Retinopathy Detection using Ensemble Machine Learning by Israa Odeh et al
06-24-2021	FitVid: Overfitting in Pixel-Level Video Prediction by Mohammad Babaeizadeh et al
06-23-2021	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization by Yi Tay et al
06-24-2021	Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning by Samira Ziyadidegan et al
06-25-2021	Data-based Design of Inferential Sensors for Petrochemical Industry by Martin Mojto et al
06-24-2021	Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks by Jiaqing Xie et al
06-22-2021	Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack by Sungmin Cha et al
06-24-2021	DCoM: A Deep Column Mapper for Semantic Data Type Detection by Subhadip Maji et al
06-22-2021	Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective by Miao Zhang et al
06-23-2021	Who Leads and Who Follows in Strategic Classification? by Tijana Zrnic et al
06-23-2021	Learning Explainable Representations of Malware Behavior by Paul Prasse et al
06-24-2021	Prediction of geophysical properties of rocks on rare well data and attributes of seismic waves by machine learning methods on the example of the Achimov formation by Dmitry Ivlev
06-23-2021	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound by Valentina Zantedeschi et al
06-23-2021	Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise by Nidhin Harilal et al
06-25-2021	Prediction of Hereditary Cancers Using Neural Networks by Zoe Guan et al
06-22-2021	RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy by Abraham George Smith et al
06-23-2021	Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving by Jingda Wu et al
06-23-2021	Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning by Kamil Deja et al
06-23-2021	How Well do Feature Visualizations Support Causal Understanding of CNN Activations? by Roland S. Zimmermann et al
06-23-2021	Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques by Zhiyuan Chen et al
06-23-2021	Lagrangian dual framework for conservative neural network solutions of kinetic equations by Hyung Ju Hwang et al
06-22-2021	Local policy search with Bayesian optimization by Sarah Müller et al
06-22-2021	Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization by David Eriksson et al
06-22-2021	Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation by Yuxin Yang et al
06-23-2021	Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation by Stephen James et al
06-22-2021	On the importance of cross-task features for class-incremental learning by Albin Soutif--Cormerais et al
06-24-2021	Federated Noisy Client Learning by Li Li et al
06-25-2021	Tensor-based framework for training flexible neural networks by Yassine Zniyed et al
06-22-2021	On Adversarial Robustness of Synthetic Code Generation by Mrinal Anand et al
06-25-2021	Dealing with Expert Bias in Collective Decision-Making by Axel Abels et al
06-24-2021	Quantization Aware Training, ERNIE and Kurtosis Regularizer: a short empirical study by Andrea Zanetti
06-24-2021	Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks by Xianlong Zeng et al
06-23-2021	Alternative Microfoundations for Strategic Classification by Meena Jagadeesan et al
06-24-2021	Physics perception in sloshing scenes with guaranteed thermodynamic consistency by Beatriz Moya et al
06-23-2021	Multi-objective Asynchronous Successive Halving by Robin Schmucker et al
06-25-2021	A Novel Self-Learning Framework for Bladder Cancer Grading Using Histopathological Images by Gabriel García et al
06-22-2021	Towards Biologically Plausible Convolutional Networks by Roman Pogodin et al
06-22-2021	Revisiting Deep Learning Models for Tabular Data by Yury Gorishniy et al
06-25-2021	Vulnerability and Transaction behavior based detection of Malicious Smart Contracts by Rachit Agarwal et al
06-25-2021	CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals by Cédric Rommel et al
06-22-2021	Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe by Panagiotis Vlantis et al
06-22-2021	On Constrained Optimization in Differentiable Neural Architecture Search by Kaitlin Maile et al
06-23-2021	MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning by Chen Liu et al
06-25-2021	Single Image Texture Translation for Data Augmentation by Boyi Li et al
06-22-2021	ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences by Yanjun Gao et al
06-24-2021	Multitask Learning for Citation Purpose Classification by Alex Oesterling et al
06-24-2021	A Systematic Collection of Medical Image Datasets for Deep Learning by Johann Li et al
06-24-2021	FF-NSL: Feed-Forward Neural-Symbolic Learner by Daniel Cunnington et al
06-23-2021	Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search by Mostafa Rahmani et al
06-22-2021	Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge by Abhin Shah et al

06-22-2021	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning by Sungmin Cha. Beomyoung Kim et al
06-24-2021	Multi-Reference Alignment for sparse signals, Uniform Uncertainty Principles and the Beltway Problem by Subhro Ghosh et al
06-24-2021	SofaMyRoom: a fast and multiplatform shoebox room simulator for binaural room impulse response dataset generation by Roberto Barumerli et al
06-23-2021	Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions by Zhiheng Zhong et al
06-25-2021	Assessing Generalization of SGD via Disagreement by Yiding Jiang et al
06-25-2021	Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks by Gabriel García et al
06-23-2021	Online Verification of Deep Neural Networks under Domain or Weight Shift by Tianhao Wei et al
06-23-2021	Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification by Ee Fey Goh et al
06-25-2021	Ranger21: a synergistic deep learning optimizer by Less Wright et al
06-23-2021	High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning by Grant Duffy et al
06-24-2021	Improved Regret Bounds for Tracking Experts with Memory by James Robinson et al
06-24-2021	Symmetric Wasserstein Autoencoders by Sun Sun et al
06-22-2021	Variance-Aware Off-Policy Evaluation with Linear Function Approximation by Yifei Min et al
06-23-2021	Beyond Predictions in Neural ODEs: Identification and Interventions by Hananeh Aliee et al
06-24-2021	Personalized Federated Learning with Clustered Generalization by Xueyang Tang et al
06-24-2021	Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks by Ting-Kuei Hu et al
06-24-2021	Video Swin Transformer by Ze Liu et al
06-24-2021	MIxBN: library for learning Bayesian networks from mixed data by Anna V. Bubnova et al
06-24-2021	Bayesian Optimization with High-Dimensional Outputs by Wesley J. Maddox et al
06-23-2021	A Review of Assistive Technologies for Activities of Daily Living of Elderly by Nirmalya Thakur et al
06-23-2021	Fairness for Image Generation with Uncertain Sensitive Attributes by Ajil Jalal et al
06-23-2021	First Step Towards EXPLAINable DGA Multiclass Classification by Arthur Drichel et al
06-22-2021	FLRA: A Reference Architecture for Federated Learning Systems by Sin Kit Lo et al
06-24-2021	Fund2Vec: Mutual Funds Similarity using Graph Learning by Vipul Satone et al
06-25-2021	Transient Stability Analysis with Physics-Informed Neural Networks by Jochen Stiasny et al
06-25-2021	Identifying malicious accounts in Blockchains using Domain Names and associated temporal properties by Rohit Kumar Sachan et al
06-23-2021	Meaningfully Explaining a Models Mistakes by Abubakar Abid et al
06-23-2021	Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation by Xiaofeng Liu et al
06-25-2021	Vision Transformer Architecture Search by Xiu Su et al
06-23-2021	Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators by Zaiwei Chen et al
06-23-2021	Adversarial Examples in Multi-Layer Random ReLU Networks by Peter L. Bartlett et al
06-22-2021	Machine learning for risk assessment in gender-based crime by Ángel González-Prieto et al
06-25-2021	Learning Gradual Argumentation Frameworks using Genetic Algorithms by Jonathan Spieler et al
06-22-2021	Learned Interpretable Residual Extragradient ISTA for Sparse Coding by Lin Kong et al
06-22-2021	Sparsistent Model Discovery by Georges Tod et al
06-23-2021	Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders by Maxim Ziatdinov et al
06-25-2021	Jitter: Random Jittering Loss Function by Zhicheng Cai et al
06-24-2021	Model-Based Reinforcement Learning via Latent-Space Collocation by Oleh Rybkin et al
06-23-2021	Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis by Mats L. Richter et al
06-25-2021	Privileged Zero-Shot AutoML by Nikhil Singh et al
06-23-2021	Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays by Rotem Zamir Aviv et al
06-23-2021	Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming by Fulya Trösser et al
06-22-2021	Dynamic Customer Embeddings for Financial Service Applications by Nima Chitsazan et al
06-25-2021	Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation by S. L. N. Dhulipala et al
06-23-2021	Recurrent Coupled Topic Modeling over Sequential Documents by Jinjin Guo et al
06-22-2021	Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network by Han Yu et al
06-24-2021	Multifidelity Modeling for Physics-Informed Neural Networks (PINNs) by Michael Penwarden et al
06-24-2021	Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers by Katelyn Morrison et al
06-25-2021	Data efficiency in graph networks through equivariance by Francesco Farina et al
06-25-2021	Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks by Jamal Toutouh et al
06-22-2021	Bayesian Neural Networks: Essentials by Daniel T. Chang
06-24-2021	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning by Daniel McDuff et al
06-23-2021	Best-Case Lower Bounds in Online Learning by Cristóbal Guzmán et al
06-24-2021	Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks by Takuhiro Kaneko
06-23-2021	The Stereotyping Problem in Collaboratively Filtered Recommender Systems by Wenshuo Guo et al
06-24-2021	The Option Keyboard: Combining Skills in Reinforcement Learning by André Barreto et al
06-22-2021	Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data by Tung Doan et al
06-22-2021	Off-Policy Reinforcement Learning with Delayed Rewards by Beining Han et al
06-22-2021	A Unified Framework for Conservative Exploration by Yunchang Yang et al
06-22-2021	Gradient-based Label Binning in Multi-label Classification by Michael Rapp et al
06-23-2021	Fairness via Representation Neutralization by Mengnan Du et al
06-23-2021	Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks by Salvatore Scognamiglio
06-24-2021	Towards Understanding and Mitigating Social Biases in Language Models by Paul Pu Liang et al
06-23-2021	Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders by Xiaoyu Bie et al
06-22-2021	BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes by Zhengchun Liu et al
06-25-2021	Re-parameterizing VAEs for stability by David Dehaene et al
06-24-2021	Hate Speech Detection in Clubhouse by Hadi Mansourifar et al
06-22-2021	Regret-optimal Estimation and Control by Gautam Goel et al