2021.10.18 Learning papers

10-12-2021	Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction by Marc-Andre Schulz et al
10-12-2021	As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing by Sudeep Salgia et al
10-14-2021	ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection by Van-Anh Nguyen et al
10-12-2021	Zero-bias Deep Neural Network for Quickest RF Signal Surveillance by Yongxin Liu et al
10-12-2021	Information Theoretic Structured Generative Modeling by Bo Hu et al
10-13-2021	Logic Constraints to Feature Importances by Nicola Picchiotti et al
10-12-2021	Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning by Jinyin Chen et al
10-12-2021	Fake News Detection in Spanish Using Deep Learning Techniques by Kevin Martínez-Gallego et al
10-14-2021	The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs by Johannes Müller et al
10-13-2021	Tutorial on Deep Learning for Human Activity Recognition by Marius Bock et al
10-15-2021	Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent? by Daniela Mihai et al
10-15-2021	Towards Better Plasticity-Stability Trade-off in Incremental Learning: A simple Linear Connector by Guoliang Lin et al
10-14-2021	VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints by Wenjie Xu et al
10-15-2021	k-expertsk-experts -- Online Policies and Fundamental Limits by Samrat Mukhopadhyay et al
10-13-2021	SoGCN: Second-Order Graph Convolutional Networks by Peihao Wang et al
10-15-2021	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network by Xingcheng Fu et al
10-12-2021	Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes by M. Arana-Catania et al
10-15-2021	Low-rank Matrix Recovery With Unknown Correspondence by Zhiwei Tang et al
10-13-2021	On the Double Descent of Random Features Models Trained with SGD by Fanghui Liu et al
10-13-2021	OPEn: An Open-ended Physics Environment for Learning Without a Task by Chuang Gan et al
10-13-2021	The Dawn of Quantum Natural Language Processing by Riccardo Di Sipio et al
10-13-2021	Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees by Jean Feng et al
10-12-2021	CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation by Nicolae-Catalin Ristea et al
10-13-2021	Extending Environments To Measure Self-Reflection In Reinforcement Learning by Samuel Allen Alexander et al
10-12-2021	Twice regularized MDPs and the equivalence between robustness and regularization by Esther Derman et al
10-12-2021	Stabilizing Dynamical Systems via Policy Gradient Methods by Juan C. Perdomo et al
10-13-2021	Scalable Anytime Algorithms for Learning Formulas in Linear Temporal Logic by Ritam Raha et al
10-14-2021	Toward Degradation-Robust Voice Conversion by Chien-yu Huang et al
10-12-2021	A Good Representation Detects Noisy Labels by Zhaowei Zhu et al
10-14-2021	Cross-Lingual Fine-Grained Entity Typing by Nila Selvaraj et al
10-12-2021	Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection by Ricardo Falcon-Perez et al
10-12-2021	Nonnegative spatial factorization by F. William Townes et al
10-14-2021	Detecting Renewal States in Chains of Variable Length via Intrinsic Bayes Factors by Victor Freguglia et al
10-14-2021	Inverse Problems Leveraging Pre-trained Contrastive Representations by Sriram Ravula et al
10-12-2021	MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants by Alkesh Patel et al
10-13-2021	Transform and Bitstream Domain Image Classification by P. R. Hill et al
10-12-2021	Gated Information Bottleneck for Generalization in Sequential Environments by Francesco Alesiani et al
10-12-2021	Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells by Ildar Abdrakhmanov et al
10-14-2021	Predictive models of RNA degradation through dual crowdsourcing by Hannah K. Wayment-Steele et al
10-14-2021	SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs by Adrián Barahona-Ríos et al
10-12-2021	Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents by Shivansh Patel et al
10-14-2021	Sparse Implicit Processes for Approximate Inference by Simón Rodríguez Santana et al
10-13-2021	Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation by Jungbeom Lee et al
10-15-2021	Propagation on Multi-relational Graphs for Node Regression by Eda Bayram
10-15-2021	Choice functions based multi-objective Bayesian optimisation by Alessio Benavoli et al
10-13-2021	The deep generative decoder: Using MAP estimates of representations by Viktoria Schuster et al
10-12-2021	Music Sentiment Transfer by Miles Sigel et al
10-12-2021	Optimizing Ranking Systems Online as Bandits by Chang Li
10-14-2021	Multi-task problems are not multi-objective by Michael Ruchte et al
10-12-2021	Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone by Zhen Xu et al
10-15-2021	Reappraising Domain Generalization in Neural Networks by Sarath Sivaprasad et al
10-15-2021	NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem by Liang Xin et al
10-13-2021	Reinforcement Learning for Standards Design by Shahrukh Khan Kasi et al
10-14-2021	Adversarial examples by perturbing high-level features in intermediate decoder layers by Vojtěch Čermák et al
10-12-2021	Can machines learn to see without visual databases? by Alessandro Betti et al
10-12-2021	Early Melanoma Diagnosis with Sequential Dermoscopic Images by Zhen Yu et al
10-13-2021	Clustering-Based Interpretation of Deep ReLU Network by Nicola Picchiotti et al
10-14-2021	On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires by Hoang-Son Nguyen et al
10-14-2021	Why Propagate Alone? Parallel Use of Labels and Features on Graphs by Yangkun Wang et al
10-15-2021	Wasserstein Unsupervised Reinforcement Learning by Shuncheng He et al
10-13-2021	A Time Encoding approach to training Spiking Neural Networks by Karen Adam
10-14-2021	Omni-Training for Data-Efficient Deep Learning by Yang Shu et al
10-14-2021	Near optimal sample complexity for matrix and tensor normal models via geodesic convexity by Cole Franks et al
10-14-2021	NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild by Jason Y. Zhang et al
10-12-2021	S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations by Wen-Chin Huang et al
10-13-2021	The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program by Yifei Wang et al
10-15-2021	VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups by Pablo Morales-Alvarez et al
10-12-2021	On the Security Risks of AutoML by Ren Pang et al
10-15-2021	Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization by Francis Bach et al
10-13-2021	Differentially Private Fine-tuning of Language Models by Da Yu et al
10-15-2021	Multitask Prompted Training Enables Zero-Shot Task Generalization by Victor Sanh et al
10-15-2021	Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System by Stephanie Holly et al
10-12-2021	Incremental Community Detection in Distributed Dynamic Graph by Tariq Abughofa et al
10-14-2021	CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition by Vahid Yaghoubi et al
10-13-2021	Data Incubation -- Synthesizing Missing Data for Handwriting Recognition by Jen-Hao Rick Chang et al
10-13-2021	Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals by Alexander Kenneth Clarke et al
10-12-2021	Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks by Ester Bonmati et al
10-14-2021	HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism by Zhiwei Xu et al
10-12-2021	Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects by Charlotte Caucheteux et al
10-12-2021	Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters by Jayashree Mohan et al
10-14-2021	Predicting Solar Flares with Remote Sensing and Machine Learning by Erik Larsen
10-14-2021	Meta-learning via Language Model In-context Tuning by Yanda Chen et al
10-13-2021	Deconfounded Causal Collaborative Filtering by Shuyuan Xu et al
10-14-2021	Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent by Tongzheng Ren et al
10-14-2021	Residual2Vec: Debiasing graph embedding with random graphs by Sadamori Kojaku et al
10-14-2021	Asymmetric Graph Representation Learning by Zhuo Tan et al
10-13-2021	Dict-BERT: Enhancing Language Model Pre-training with Dictionary by Wenhao Yu et al
10-13-2021	Multistage linguistic conditioning of convolutional layers for speech emotion recognition by Andreas Triantafyllopoulos et al
10-14-2021	Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units by Kenny Young
10-14-2021	Exposing Query Identification for Search Transparency by Ruohan Li et al
10-13-2021	AI Total: Analyzing Security ML Models with Imperfect Data in Production by Awalin Sopan et al
10-15-2021	Equivariant and Invariant Reynolds Networks by Akiyoshi Sannai et al
10-14-2021	Adversarial Purification through Representation Disentanglement by Tao Bai et al
10-13-2021	Variance Minimization in the Wasserstein Space for Invariant Causal Prediction by Guillaume Martinet et al
10-13-2021	A Framework for Verification of Wasserstein Adversarial Robustness by Tobias Wegel et al
10-13-2021	Federated Learning Over Cellular-Connected UAV Networks with Non-IID Datasets by Di-Chun Liang et al
10-14-2021	Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN by Muhammad Zeeshan Arshad et al
10-12-2021	Not all noise is accounted equally: How differentially private learning benefits from large sampling rates by Friedrich Dörmann et al
10-14-2021	The Neural MMO Platform for Massively Multiagent Research by Joseph Suarez et al
10-13-2021	Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? by Xilun Chen et al
10-14-2021	Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research by Francesco Semeraro et al
10-14-2021	DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors by Anargyros Chatzitofis et al
10-12-2021	Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar by Lorenzo Servadei et al
10-13-2021	When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps by Jan Rosenzweig et al
10-14-2021	Sign and Relevance learning by Sama Daryanavard et al
10-15-2021	Graph Neural Networks with Learnable Structural and Positional Representations by Vijay Prakash Dwivedi et al
10-12-2021	Predicting the Efficiency of CO22 Sequestering by Metal Organic Frameworks Through Machine Learning Analysis of Structural and Electronic Properties by Mahati Manda
10-12-2021	Deep Federated Learning for Autonomous Driving by Anh Nguyen et al
10-13-2021	On the Parameter Combinations That Matter and on Those That do Not by Nikolaos Evangelou et al
10-13-2021	Bond Default Prediction with Text Embeddings, Undersampling and Deep Learning by Luke Jordan
10-14-2021	Distribution-Free Federated Learning with Conformal Predictions by Charles Lu et al
10-14-2021	A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data by Yijun Lin et al
10-15-2021	Containerized Distributed Value-Based Multi-Agent Reinforcement Learning by Siyang Wu et al
10-13-2021	Maximizing Efficiency of Language Model Pre-training for Learning Representation by Junmo Kang et al
10-14-2021	FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data by Huaduo Wang et al
10-15-2021	Collaborating with Humans without Human Data by DJ Strouse et al
10-15-2021	Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings by Jan Macdonald et al
10-14-2021	Self-Supervised Learning by Estimating Twin Class Distributions by Feng Wang et al
10-15-2021	Causal Identification with Additive Noise Models: Quantifying the Effect of Noise by Benjamin Kap et al
10-13-2021	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning by Guy Tennenholtz et al
10-13-2021	Well-classified Examples are Underestimated in Classification with Deep Neural Networks by Guangxiang Zhao et al
10-13-2021	CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq by Bryan He et al
10-13-2021	Leveraging Automated Unit Tests for Unsupervised Code Translation by Baptiste Roziere et al
10-15-2021	An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter by Parisa Boodaghi Malidarreh et al
10-12-2021	Domain Generalization via Domain-based Covariance Minimization by Anqi Wu
10-12-2021	Dynamic Inference with Neural Interpreters by Nasim Rahaman et al
10-13-2021	Leveraging redundancy in attention with Reuse Transformers by Srinadh Bhojanapalli et al
10-12-2021	Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation by Weitong Zhang et al
10-12-2021	Robust Neural Regression via Uncertainty Learning by Akib Mashrur et al
10-12-2021	Learning ground states of quantum Hamiltonians with graph networks by Dmitrii Kochkov et al
10-12-2021	The Rich Get Richer: Disparate Impact of Semi-Supervised Learning by Zhaowei Zhu et al
10-15-2021	Dual-Arm Adversarial Robot Learning by Elie Aljalbout
10-12-2021	Coupled and Uncoupled Dynamic Mode Decomposition in Multi-Compartmental Systems with Applications to Epidemiological and Additive Manufacturing Problems by Alex Viguerie et al
10-14-2021	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? by Matthew Farrell et al
10-13-2021	Parallel Deep Neural Networks Have Zero Duality Gap by Yifei Wang et al
10-12-2021	Rethinking supervised pre-training for better downstream transferring by Yutong Feng et al
10-14-2021	Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages by Kalpesh Krishna et al
10-14-2021	The Neglected Sibling: Isotropic Gaussian Posterior for VAE by Lan Zhang et al
10-13-2021	Study of positional encoding approaches for Audio Spectrogram Transformers by Leonardo Pepino et al
10-15-2021	Guiding Visual Question Generation by Nihir Vedd et al
10-12-2021	Molecular Graph Generation via Geometric Scattering by Dhananjay Bhaskar et al
10-13-2021	Detecting Slag Formations with Deep Convolutional Neural Networks by Christian von Koch et al
10-13-2021	Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks by Bo-Yu Chen et al
10-13-2021	Sub-Setting Algorithm for Training Data Selection in Pattern Recognition by AGaurav Arwade et al
10-14-2021	Context-gloss Augmentation for Improving Word Sense Disambiguation by Guan-Ting Lin et al
10-14-2021	Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation by Joshua Peeples et al
10-13-2021	Expert-driven Trace Clustering with Instance-level Constraints by Pieter De Koninck et al
10-14-2021	UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning by Yuning Mao et al
10-12-2021	Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models by Ahmet Demirkaya et al
10-14-2021	Interpretable transformed ANOVA approximation on the example of the prevention of forest fires by Daniel Potts et al
10-12-2021	Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design by Wenhao Gao et al
10-12-2021	Balancing Average and Worst-case Accuracy in Multitask Learning by Paul Michel et al
10-12-2021	AutoNLU: Detecting, root-causing, and fixing NLU model errors by Pooja Sethi et al
10-12-2021	Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty by Jeffrey Ryan Willette et al
10-12-2021	Real-time Drift Detection on Time-series Data by Nandini Ramanan et al
10-15-2021	LPRules: Rule Induction in Knowledge Graphs Using Linear Programming by Sanjeeb Dash et al
10-15-2021	Transforming Autoregression: Interpretable and Expressive Time Series Forecast by David Rügamer et al
10-13-2021	Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack by Davis Brown et al
10-14-2021	On Adversarial Vulnerability of PHM algorithms: An Initial Study by Weizhong Yan et al
10-13-2021	Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance by Shibal Ibrahim et al
10-15-2021	Identifying Incorrect Classifications with Balanced Uncertainty by Bolian Li et al
10-12-2021	Uncertainty-based out-of-distribution detection requires suitable function space priors by Francesco D'Angelo et al
10-12-2021	Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling by Gianluigi Silvestri et al
10-12-2021	Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM by Yuwei Sun et al
10-14-2021	Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication by Justin Lidard et al
10-13-2021	Out-of-Distribution Robustness in Deep Learning Compression by Eric Lei et al
10-12-2021	Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables by Alireza Abedin et al
10-12-2021	Embracing Structure in Data for Billion-Scale Semantic Product Search by Vihan Lakshman et al
10-14-2021	Federated learning and next generation wireless communications: A survey on bidirectional relationship by Debaditya Shome et al

10-14-2021	Towards Understanding the Data Dependency of Mixup-style Training by Muthu Chidambaram et al
10-14-2021	Adaptive Differentially Private Empirical Risk Minimization by Xiaoxia Wu et al
10-15-2021	An active learning approach for improving the performance of equilibrium based chemical simulations by Mary Savino et al
10-13-2021	Vibration-Based Condition Monitoring By Ensemble Deep Learning by Vahid Yaghoubi et al
10-14-2021	The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization by Róbert Csordás et al
10-14-2021	VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks by Joshua Yao-Yu Lin et al
10-15-2021	Learn Proportional Derivative Controllable Latent Space from Pixels by Weiyao Wang et al
10-14-2021	Model-Change Active Learning in Graph-Based Semi-Supervised Learning by Kevin Miller et al
10-13-2021	Style-based quantum generative adversarial networks for Monte Carlo events by Carlos Bravo-Prieto et al
10-15-2021	Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand by Matteo Cardaioli et al
10-13-2021	A neural simulation-based inference approach for characterizing the Galactic Center γγ-ray excess by Siddharth Mishra-Sharma et al
10-14-2021	DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models by Riddhish Bhalodia et al
10-15-2021	Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation by Yao Qin et al
10-13-2021	MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks by Laith Alzubaidi et al
10-15-2021	Improving Hyperparameter Optimization by Planning Ahead by Hadi S. Jomaa et al
10-15-2021	A Dual-Perception Graph Neural Network with Multi-hop Graph Generator by Li Zhou et al
10-15-2021	FedMe: Federated Learning via Model Exchange by Koji Matsuda et al
10-14-2021	Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning by Soobee Lee et al
10-13-2021	ES-Based Jacobian Enables Faster Bilevel Optimization by Daouda Sow et al
10-13-2021	Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction by Juergen Mangler et al
10-13-2021	Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation by Florian Mai et al
10-12-2021	Investigation on Data Adaptation Techniques for Neural Named Entity Recognition by Evgeniia Tokarchuk et al
10-13-2021	Improving the sample-efficiency of neural architecture search with reinforcement learning by Attila Nagy et al
10-14-2021	Neural Attention-Aware Hierarchical Topic Model by Yuan Jin et al
10-14-2021	DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks by Yixiang Wang et al
10-13-2021	Decoupled Contrastive Learning by Chun-Hsiao Yeh et al
10-12-2021	Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation by Jiayuan Ding et al
10-14-2021	FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning by Jieming Bian et al
10-13-2021	Towards a fully RL-based Market Simulator by Leo Ardon et al
10-12-2021	SoftNeuro: Fast Deep Inference using Multi-platform Optimization by Masaki Hilaga et al
10-13-2021	Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge by Junyi Huang et al
10-13-2021	The Computerized Classification of Micro-Motions in the Hand using Waveforms from Mobile Phone by Ranjani Ramesh
10-13-2021	Secure Precoding in MIMO-NOMA: A Deep Learning Approach by Jordan Pauls et al
10-13-2021	Infinitely Divisible Noise in the Low Privacy Regime by Rasmus Pagh et al
10-12-2021	Fine-grained style control in Transformer-based Text-to-speech Synthesis by Li-Wei Chen et al
10-13-2021	Metaparametric Neural Networks for Survival Analysis by Fabio Luis de Mello et al
10-15-2021	MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining by Ahmed Imtiaz Humayun et al
10-14-2021	Attention-Free Keyword Spotting by Mashrur M. Morshed et al
10-15-2021	A Survey of Evolutionary Multi-Objective Clustering Approaches by Cristina Y. Morimoto et al
10-13-2021	Learning Stable Koopman Embeddings by Fletcher Fan et al
10-15-2021	Anomaly Detection in Multi-Agent Trajectories for Automated Driving by Julian Wiederer et al
10-15-2021	Value Penalized Q-Learning for Recommender Systems by Chengqian Gao et al
10-13-2021	Averting A Crisis In Simulation-Based Inference by Joeri Hermans et al
10-13-2021	Unsupervised Object Learning via Common Fate by Matthias Tangemann et al
10-13-2021	LENS: Localization enhanced by NeRF synthesis by Arthur Moreau et al
10-13-2021	On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure by Lintao Ye et al
10-14-2021	IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance by Grace Deng et al
10-13-2021	How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies by Bao Wang et al
10-12-2021	Single Independent Component Recovery and Applications by Uri Shaham et al
10-13-2021	Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification by Christian Korbach et al
10-12-2021	Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation by Cole Hawkins et al
10-12-2021	Mention Memory: incorporating textual knowledge into Transformers through entity mention attention by Michiel de Jong et al
10-15-2021	SaLinA: Sequential Learning of Agents by Ludovic Denoyer et al
10-14-2021	Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis by Yi Liu et al
10-13-2021	What Happens after SGD Reaches Zero Loss? --A Mathematical Framework by Zhiyuan Li et al
10-13-2021	Extracting Dynamical Models from Data by Michael F. Zimmer
10-14-2021	Learning Mean-Field Equations from Particle Data Using WSINDy by Daniel A. Messenger et al
10-14-2021	Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation by Divyansh Jhunjhunwala et al
10-12-2021	SAR-Net: A Scenario-Aware Ranking Network for PersonalizedFair Recommendation in Hundreds of Travel Scenarios by Qijie Shen et al
10-14-2021	Order Constraints in Optimal Transport by Fabian Lim et al
10-15-2021	Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs by Enyan Dai et al
10-13-2021	Communication-Efficient Online Federated Learning Framework for Nonlinear Regression by Vinay Chakravarthi Gogineni et al
10-14-2021	PTQ-SL: Exploring the Sub-layerwise Post-training Quantization by Zhihang Yuan et al
10-14-2021	Offline Reinforcement Learning with Soft Behavior Regularization by Haoran Xu et al
10-13-2021	Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers by Gabriele Prato et al
10-13-2021	Scalable Graph Embedding LearningOn A Single GPU by Azita Nouri et al
10-13-2021	A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation by Ali Farki et al
10-13-2021	WAFFLE: Weighted Averaging for Personalized Federated Learning by Martin Beaussart et al
10-12-2021	Learning Efficient Multi-Agent Cooperative Visual Exploration by Chao Yu et al
10-14-2021	How to train RNNs on chaotic data? by Zahra Monfared et al
10-14-2021	Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback by Junxiong Wang et al
10-12-2021	Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation by Paul Irofti et al
10-12-2021	Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card by Hsin-Hsuan Sung et al
10-13-2021	Block Contextual MDPs for Continual Learning by Shagun Sodhani et al
10-14-2021	Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations by Ji Xin et al
10-14-2021	Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding by Jingya Zhou et al
10-13-2021	A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark by Thomas Cassimon et al
10-15-2021	Trade-offs of Local SGD at Scale: An Empirical Study by Jose Javier Gonzalez Ortiz et al
10-12-2021	Causal discovery from conditionally stationary time-series by Carles Balsells Rodas et al
10-14-2021	Practical Benefits of Feature Feedback Under Distribution Shift by Anurag Katakkar et al
10-13-2021	One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal by Ting Liu et al
10-15-2021	On-Policy Model Errors in Reinforcement Learning by Lukas P. Fröhlich et al
10-14-2021	A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods by Sam Strecker et al
10-13-2021	Identification of Attack-Specific Signatures in Adversarial Examples by Hossein Souri et al
10-12-2021	Observing a group to infer individual characteristics by Arshed Nabeel et al
10-12-2021	Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method by James Kotary et al
10-13-2021	ADMM-DAD net: a deep unfolding network for analysis compressed sensing by Vasiliki Kouni et al
10-13-2021	Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps by Nico Courts et al
10-13-2021	Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization by Syrine Belakaria et al
10-13-2021	Language Modelling via Learning to Rank by Arvid Frydenlund et al
10-14-2021	Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization by Michael Koller et al
10-14-2021	DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing by Aizaz Sharif et al
10-13-2021	PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method by Ziwei Guan et al
10-14-2021	Continual Learning on Noisy Data Streams via Self-Purified Replay by Chris Dongjoo Kim et al
10-14-2021	RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models by Wenkai Yang et al
10-14-2021	Compressibility of Distributed Document Representations by Blaž Škrlj et al
10-14-2021	CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training by Patrick Huber et al
10-13-2021	NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels by Mohit Sharma et al
10-14-2021	More Efficient Sampling for Tensor Decomposition by Osman Asif Malik
10-13-2021	Rethinking the Representational Continuity: Towards Unsupervised Continual Learning by Divyam Madaan et al
10-13-2021	Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers by Yujing Ma et al
10-13-2021	Incremental Ensemble Gaussian Processes by Qin Lu et al
10-14-2021	An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware by M. Caner Tol et al
10-14-2021	Sound and Complete Neural Network Repair with Minimality and Locality Guarantees by Feisi Fu et al
10-12-2021	Tracking the risk of a deployed model and detecting harmful distribution shifts by Aleksandr Podkopaev et al
10-14-2021	Graph Condensation for Graph Neural Networks by Wei Jin et al
10-13-2021	Region Semantically Aligned Network for Zero-Shot Learning by Ziyang Wang et al
10-14-2021	NeuroView: Explainable Deep Network Decision Making by CJ Barberan et al
10-14-2021	Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models by Forrest Huang et al
10-14-2021	Areas on the space of smooth probability density functions on S2S2 by J. C. Ruíz-Pantaleón et al
10-14-2021	Diffusion Normalizing Flow by Qinsheng Zhang et al
10-12-2021	Implicit Bias of Linear Equivariant Networks by Hannah Lawrence et al
10-12-2021	Efficient Bayesian network structure learning via local Markov boundary search by Ming Gao et al
10-12-2021	Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond) by Kristof Meding et al
10-12-2021	Expressivity and Trainability of Quadratic Networks by Feng-Lei Fan et al
10-14-2021	sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs by Jie Zhang et al
10-15-2021	Neural Dubber: Dubbing for Silent Videos According to Scripts by Chenxu Hu et al
10-12-2021	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes by Alex X. Lee et al
10-12-2021	Couple Learning: Mean Teacher method with pseudo-labels improves semi-supervised deep learning results by Rui Tao et al
10-12-2021	Sm{\aa}prat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning by Tosin Adewumi et al
10-14-2021	On Extending Amdahls law to Learn Computer Performance by Chaitanya Poolla et al
10-12-2021	Dense Uncertainty Estimation by Jing Zhang et al
10-12-2021	Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework by Lu Mi et al
10-12-2021	GraPE: fast and scalable Graph Processing and Embedding by Luca Cappelletti et al
10-12-2021	Crystal Diffusion Variational Autoencoder for Periodic Material Generation by Tian Xie et al
10-12-2021	A scalable and fast artificial neural network syndrome decoder for surface codes by Spiro Gicev et al
10-12-2021	On the Self-Penalization Phenomenon in Feature Selection by Michael I. Jordan et al
10-12-2021	Offline Reinforcement Learning with Implicit Q-Learning by Ilya Kostrikov et al
10-15-2021	BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation by Akshay Sharma et al
10-15-2021	StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data by Victor Pellegrain et al
10-14-2021	HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media by nargyros Chatzitofis et al
10-13-2021	Two-argument activation functions learn soft XOR operations like cortical neurons by Kijung Yoon et al
10-14-2021	Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection by Mhafuzul Islam et al
10-12-2021	Finding Relevant Points for Nearest-Neighbor Classification by David Eppstein
10-12-2021	AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion by Zhemin Li et al
10-15-2021	NNK-Means: Dictionary Learning using Non-Negative Kernel regression by Sarath Shekkizhar et al
10-14-2021	Learning the Koopman Eigendecomposition: A Diffeomorphic Approach by Petar Bevanda et al
10-14-2021	Scalable Causal Structure Learning: New Opportunities in Biomedicine by Pulakesh Upadhyaya et al
10-14-2021	Gaussian Process Bandit Optimization with Few Batches by Zihan Li et al
10-13-2021	Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification by B. A. Wilson et al
10-14-2021	Time Series Clustering for Human Behavior Pattern Mining by Rohan Kabra et al
10-13-2021	A Melody-Unsupervision Model for Singing Voice Synthesis by Soonbeom Choi et al
10-13-2021	EIHW-MTG DiCOVA 2021 Challenge System Report by Adria Mallol-Ragolta et al
10-13-2021	Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling by Yaxiong Yuan et al
10-12-2021	HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization by Ye Liu et al
10-13-2021	A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification by Feras Albardi et al
10-12-2021	Dropout Prediction Variation Estimation Using Neuron Activation Strength by Haichao Yu et al
10-12-2021	Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection by Benedikt Holmes et al

10-12-2021	Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations by Yingshi Chen et al
10-12-2021	Across-Task Neural Architecture Search via Meta Learning by Jingtao Rong et al
10-12-2021	Relative Molecule Self-Attention Transformer by Łukasz Maziarka et al
10-14-2021	Safety-aware Policy Optimisation for Autonomous Racing by Bingqing Chen et al
10-13-2021	Robust MIMO Detection using Hypernetworks with Learned Regularizers by Nicolas Zilberstein et al
10-13-2021	Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality by Yiping Lu et al
10-13-2021	Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead by Kamil Szyc et al
10-13-2021	TAG: Toward Accurate Social Media Content Tagging with a Concept Graph by Jiuding Yang et al
10-12-2021	Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression by Jingfeng Wu et al
10-12-2021	OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages by Prem Selvaraj et al
10-14-2021	SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing by Junyi Ao et al
10-12-2021	Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition by Li-Wei Chen et al
10-14-2021	Physics informed neural networks for continuum micromechanics by Alexander Henkes et al
10-14-2021	Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop by Peng Jin et al
10-13-2021	Challenges for Unsupervised Anomaly Detection in Particle Physics by Katherine Fraser et al
10-12-2021	PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids by Xiangtian Zheng et al
10-12-2021	Sparsity in Partially Controllable Linear Systems by Yonathan Efroni et al
10-14-2021	Universally Rank Consistent Ordinal Regression in Neural Networks by Garrett Jenkinson et al
10-14-2021	Provable Regret Bounds for Deep Online Learning and Control by Xinyi Chen et al
10-14-2021	Stability Analysis of Unfolded WMMSE for Power Allocation by Arindam Chowdhury et al
10-14-2021	Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer by Siyuan Liu et al
10-14-2021	Looper: An end-to-end ML platform for product decisions by Igor L. Markov et al
10-12-2021	CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling by Ling Zhan et al
10-13-2021	Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption by Luke A. Bauer et al
10-13-2021	Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators by Jiafeng Chen et al
10-14-2021	Inferring Manifolds From Noisy Data Using Gaussian Processes by David B Dunson et al
10-15-2021	Adversarial Attacks on ML Defense Models Competition by Yinpeng Dong et al
10-15-2021	Compressive Independent Component Analysis: Theory and Algorithms by Michael P. Sheehan et al
10-13-2021	Dynamical Wasserstein Barycenters for Time-series Modeling by Kevin C. Cheng et al
10-12-2021	DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding by Sergey Nikonorov et al
10-13-2021	SMS: An Efficient Source Model Selection Framework for Model Reuse by Minjun Zhao et al
10-12-2021	Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution by Arash Mahyari et al
10-12-2021	StARformer: Transformer with State-Action-Reward Representations by Jinghuan Shang et al
10-12-2021	VarArray: Array-Geometry-Agnostic Continuous Speech Separation by Takuya Yoshioka et al
10-15-2021	Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction by Sara Elkerdawy et al
10-12-2021	Planning from Pixels in Environments with Combinatorially Hard Search Spaces by Marco Bagatella et al
10-14-2021	Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning by Benno Weck et al
10-12-2021	Temporal Abstraction in Reinforcement Learning with the Successor Representation by Marlos C. Machado et al
10-14-2021	Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and ΔΔ-MOCK by Adriano Kultzak et al
10-12-2021	Tangent Space and Dimension Estimation with the Wasserstein Distance by Uzu Lim et al
10-15-2021	Combining Diverse Feature Priors by Saachi Jain et al
10-12-2021	BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications by Juan Zuluaga-Gomez et al
10-12-2021	FILM: Following Instructions in Language with Modular Methods by So Yeon Min et al
10-14-2021	A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity by Erik Larsen et al
10-12-2021	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks by Rahim Entezari et al
10-15-2021	Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters by Fabian Dubourvieux et al
10-15-2021	FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes by David W. Romero et al
10-13-2021	Detecting Modularity in Deep Neural Networks by Shlomi Hod et al
10-15-2021	Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits by Zihan Zhang et al
10-13-2021	Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent by Ziyi Chen et al
10-13-2021	Subspace Regularizers for Few-Shot Class Incremental Learning by Afra Feyza Akyürek et al
10-13-2021	Object DGCNN: 3D Object Detection using Dynamic Graphs by Yue Wang et al
10-13-2021	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries by Yue Wang et al
10-13-2021	Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning by Md Shakil Zaman et al
10-13-2021	Boosting the Certified Robustness of L-infinity Distance Nets by Bohang Zhang et al
10-13-2021	Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation by Seokju Lee et al
10-12-2021	On Convergence of Training Loss Without Reaching Stationary Points by Jingzhao Zhang et al
10-13-2021	Dictionary Learning with Convex Update (ROMD) by Cheng Cheng et al
10-14-2021	Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks by Sangeeta Srivastava et al
10-12-2021	SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer by Wenqi Lu et al
10-13-2021	Deep Superpixel-based Network for Blind Image Quality Assessment by Guangyi Yang et al