2021.10.4 Learning papers

09-28-2021	A multi-stage semi-supervised improved deep embedded clustering (MS-SSIDEC) method for bearing fault diagnosis under the situation of insufficient labeled samples by Tongda Sun et al
09-28-2021	Can multi-label classification networks know what they dont know? by Haoran Wang et al
09-30-2021	PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series by Futoon M. Abushaqra et al
09-30-2021	A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning by Yimin Shi
09-28-2021	How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification by Gouri Deshpande et al
09-28-2021	Convolutional Shapelet Transform: A new approach for time series shapelets by Antoine Guillaume et al
09-28-2021	Macroeconomic forecasting with LSTM and mixed frequency time series data by Sarun Kamolthip
10-01-2021	Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework by Zhuowen Zou et al
10-01-2021	DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks by Ahmet F. Budak et al
09-29-2021	Hierarchical Character Tagger for Short Text Spelling Error Correction by Mengyi Gao et al
10-01-2021	Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp by Kazuo Yonekura et al
10-01-2021	On the Importance of Gradients for Detecting Distributional Shifts in the Wild by Rui Huang et al
10-01-2021	An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification by Nihad Karim Chowdhury et al
10-01-2021	Predicting Consumer Purchasing Decision in The Online Food Delivery Industry by Batool Madani et al
09-28-2021	Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation by Yiyu Liu et al
10-01-2021	Probabilistic Robust Autoencoders for Anomaly Detection by Yariv Aizenbud et al
09-28-2021	Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction by Xinmeng Li et al
09-29-2021	Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features by Leonardo Crespi et al
10-01-2021	Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference by François Rozet et al
09-29-2021	Minimal Expected Regret in Linear Quadratic Control by Yassir Jedra et al
09-29-2021	FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition by Yichong Leng et al
09-29-2021	Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties by Minglei You et al
09-29-2021	Multi-class Probabilistic Bounds for Self-learning by Vasilii Feofanov et al
09-29-2021	Data Sharing and Compression for Cooperative Networked Control by Jiangnan Cheng et al
09-30-2021	Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems by Subhabrata Dutta et al
09-28-2021	SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies by Matt Vitelli et al
09-28-2021	Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs by Ozer Can Devecioglu et al
09-28-2021	VoxCeleb Enrichment for Age and Gender Recognition by Khaled Hechmi et al
09-28-2021	slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks by Elizabeth Newman et al
09-30-2021	Robust Allocations with Diversity Constraints by Zeyu Shen et al
09-28-2021	Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis by Hans De Sterck et al
09-29-2021	Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning by Fengrui Liu et al
09-28-2021	Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data by W Yu et al
09-29-2021	Dynamic Regret Analysis for Online Meta-Learning by Parvin Nazari et al
09-28-2021	Anomaly Detection for High-Dimensional Data Using Large Deviations Principle by Sreelekha Guggilam et al
09-30-2021	Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation by John Z. Zhang et al
09-30-2021	Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions by Sourav Mukherjee et al
09-30-2021	Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark by Martin Wagner et al
09-30-2021	A useful criterion on studying consistent estimation in community detection by Huan Qing
09-30-2021	Empirical Quantitative Analysis of COVID-19 Forecasting Models by Yun Zhao et al
09-30-2021	Extracting stochastic dynamical systems with αα-stable L\evy noise from data by Yang Li et al
10-01-2021	A Cram\er Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning by Alix Lhéritier et al
10-01-2021	A survey on datasets for fairness-aware machine learning by Tai Le Quy et al
10-01-2021	A survey on active noise control techniques -- Part I: Linear systems by Lu Lu et al
09-29-2021	Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection by Romain Ducrocq et al
10-01-2021	Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads by Guin Gilman et al
10-01-2021	SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System by Jiabin Liu et al
10-01-2021	Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond by Risheng Liu et al
09-29-2021	A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors by Silu Zhang et al
09-29-2021	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport by Minhui Huang et al
09-29-2021	CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning by Garrett Wilson et al
09-30-2021	Coordinated Reinforcement Learning for Optimizing Mobile Networks by Maxime Bouton et al
09-29-2021	Robust Temporal Ensembling for Learning with Noisy Labels by Abel Brown et al
09-29-2021	Exact Statistical Inference for the Wasserstein Distance by Selective Inference by Vo Nguyen Le Duy et al
09-29-2021	Partitioning Cloud-based Microservices (via Deep Learning) by Rahul Yedida et al
09-28-2021	Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI? by Roger Creus Castanyer et al
10-01-2021	Topologically-Informed Atlas Learning by Thomas Cohn et al
09-30-2021	Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images by Haotian Wang et al
09-28-2021	Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy by Kunpeng Liu et al
09-29-2021	Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning by Yue Jin et al
09-30-2021	Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation by Florian Bernard et al
09-30-2021	Improving Load Forecast in Energy Markets During COVID-19 by Ziyun Wang et al
09-30-2021	Predicting COVID-19 Patient Shielding: A Comprehensive Study by Vithya Yogarajan et al
09-30-2021	Offline Reinforcement Learning with Reverse Model-based Imagination by Jianhao Wang et al
09-30-2021	Prune Your Model Before Distill It by Jinhyuk Park et al
09-30-2021	Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations by Shamsulhaq Basir et al
10-01-2021	Unsupervised Motion Representation Learning with Capsule Autoencoders by Ziwei Xu et al
09-29-2021	Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods by Atharv Yeoleka et al
09-29-2021	Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates by Romain Laroche et al
09-30-2021	Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device by Zhouyuan Huo et al
09-30-2021	Genealogical Population-Based Training for Hyperparameter Optimization by Scardigli Antoine et al
09-29-2021	Distribution Knowledge Embedding for Graph Pooling by Kaixuan Chen et al
09-29-2021	Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting by Mohammad Omar Khursheed et al
09-28-2021	StereoSpike: Depth Learning with a Spiking Neural Network by Ulysse Rançon et al
09-30-2021	HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning by Shiming Chen et al
09-28-2021	Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation by Yifeng Zhu et al
09-28-2021	An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition by Ioanna Siaminou et al
09-29-2021	Breaking the curse of dimensionality with Isolation Kernel by Kai Ming Ting et al
09-30-2021	Physical Gradients for Deep Learning by Philipp Holl et al
09-30-2021	Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation by Manjushree B. Aithal et al
09-29-2021	Introducing the DOME Activation Functions by Mohamed E. Hussein et al
09-30-2021	Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation by Karina Zadorozhny et al
09-29-2021	Automated airway segmentation by learning graphical structure by Yihua Yang
09-28-2021	On the Provable Generalization of Recurrent Neural Networks by Lifu Wang et al
09-30-2021	Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning by Yunke Ao et al
09-29-2021	Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout by Yamen Ali et al
09-28-2021	Risk averse non-stationary multi-armed bandits by Leo Benac et al
09-30-2021	On the Trustworthiness of Tree Ensemble Explainability Methods by Angeline Yasodhara et al
09-30-2021	Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects by Haoping Xu et al
09-30-2021	Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series by Jingwei Li
10-01-2021	Stochastic Contrastive Learning by Jason Ramapuram et al
09-28-2021	Improved prediction rule ensembling through model-based data generation by Benny Markovitch et al
10-01-2021	Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning by Lorenzo Valerio et al
09-28-2021	Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods by Anna Arias-Duart et al
10-01-2021	Guiding Evolutionary Strategies by Differentiable Robot Simulators by Vladislav Kurenkov et al
09-30-2021	How Neural Processes Improve Graph Link Prediction by Huidong Liang et al
09-30-2021	Adversarial Regression with Doubly Non-negative Weighting Matrices by Tam Le et al
09-28-2021	Stable training of autoencoders for hyperspectral unmixing by Kamil Książek et al
09-28-2021	Adaptive Attribute and Structure Subspace Clustering Network by Zhihao Peng et al
09-29-2021	Sequential Estimation under Multiple Resources: a Bandit Point of View by Alireza Masoumian et al
09-30-2021	Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization by Kaiwen Zhou et al
09-29-2021	Untangling Braids with Multi-agent Q-Learning by Abdullah Khan et al
09-29-2021	Towards a theory of out-of-distribution learning by Ali Geisa et al
09-30-2021	Predicting Code Review Completion Time in Modern Code Review by Moataz Chouchen et al
09-29-2021	Flow Based Models For Manifold Data by Mingtian Zhang et al
09-29-2021	Online Robust Reinforcement Learning with Model Uncertainty by Yue Wang et al
09-29-2021	Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks by Amirali Boroumand et al
10-01-2021	Score-Based Generative Classifiers by Roland S. Zimmermann et al
10-01-2021	Belief propagation for permutations, rankings, and partial orders by George T. Cantwell et al
09-30-2021	SCIMAT: Science and Mathematics Dataset by Neeraj Kollepara et al
09-30-2021	Reinforcement Learning with Information-Theoretic Actuation by Elliot Catt et al
09-28-2021	Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing by Julius Rückin et al
10-01-2021	Sim and Real: Better Together by Shirli Di Castro Shashua et al
09-28-2021	Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics by Sean Welleck et al
09-28-2021	Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems by Luca Accorsi et al
09-28-2021	Smart at what cost? Characterising Mobile Deep Neural Networks in the wild by Mario Almeida et al
09-29-2021	FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean by Kakani Katija et al
10-01-2021	Divergence-Regularized Multi-Agent Actor-Critic by Kefan Su et al
09-29-2021	Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things by Yoga Suhas Kuruba Manjunath et al
09-30-2021	Compositional generalization in semantic parsing with pretrained transformers by A. Emin Orhan
09-30-2021	Scalable Rule-Based Representation Learning for Interpretable Classification by Zhuo Wang et al
09-29-2021	On the Estimation Bias in Double Q-Learning by Zhizhou Ren et al
09-29-2021	On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents by Anthony Courchesne et al
09-29-2021	Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning by Yu Tian et al
09-29-2021	Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks by Kaleel Mahmood et al
09-29-2021	Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation by Khazar Khorrami et al
09-29-2021	On Brightness Agnostic Adversarial Examples Against Face Recognition Systems by Inderjeet Singh et al
10-01-2021	Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders by Jinning Li et al
09-29-2021	Fairness-Driven Private Collaborative Machine Learning by Dana Pessach et al
10-01-2021	Reconstruction for Powerful Graph Representations by Leonardo Cotta et al
09-30-2021	Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices by Dingzhu Wen et al
09-30-2021	Latent Network Embedding via Adversarial Auto-encoders by Minglong Lei et al
09-30-2021	Inducing Transformers Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks by Yichen Jiang et al
09-28-2021	Deep Unrolled Recovery in Sparse Biological Imaging by Yair Ben Sahel et al
09-28-2021	Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations by Fernando Acero et al
10-01-2021	Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning by Zhen Chen et al
09-30-2021	Lagrangian Inference for Ranking Problems by Yue Liu et al
09-30-2021	Under the Microscope: Interpreting Readability Assessment Models for Filipino by Joseph Marvin Imperial et al
09-30-2021	Causal Matrix Completion by Anish Agarwal et al
09-30-2021	Asymptotic Performance of Thompson Sampling in the Batched Multi-Armed Bandits by Cem Kalkanli et al
09-30-2021	iShape: A First Step Towards Irregular Shape Instance Segmentation by Lei Yang et al
09-28-2021	A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works! by Thore Graepel et al
09-29-2021	Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space by Sandesh Ghimire et al
09-29-2021	Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning by Evan Schwab et al
10-01-2021	SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series by Jingwei Zuo et al
09-30-2021	Deep Embedded K-Means Clustering by Wengang Guo et al
09-29-2021	Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook by Morten Goodwin et al
09-30-2021	Focused Contrastive Training for Test-based Constituency Analysis by Benjamin Roth et al
09-28-2021	Formalizing the Generalization-Forgetting Trade-off in Continual Learning by Krishnan Raghavan et al
09-29-2021	Road Network Guided Fine-Grained Urban Traffic Flow Inference by Lingbo Liu et al
09-28-2021	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness by Zhenyi Wang et al
10-01-2021	Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation by Sangwoo Park et al
09-29-2021	Variational Inference for Continuous-Time Switching Dynamical Systems by Lukas Köhs et al
09-29-2021	Error rate control for classification rules in multiclass mixture models by Tristan Mary-Huard et al
09-29-2021	LightSecAgg: Rethinking Secure Aggregation in Federated Learning by Chien-Sheng Yang et al
09-29-2021	A gradient-based variable selection for binary classification in reproducing kernel Hilbert space by Jongkyeong Kang et al
09-28-2021	Convergence of Deep Convolutional Neural Networks by Yuesheng Xu et al
10-01-2021	Batched Thompson Sampling by Cem Kalkanli et al
09-28-2021	Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses by Kaan Gokcesu et al
09-30-2021	Width-Based Planning and Active Learning for Atari by Benjamin Ayton et al
09-29-2021	Online Aggregation of Probability Forecasts with Confidence by Vladimir V'yugin et al
09-29-2021	Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis by Pierre-Etienne Martin et al
09-28-2021	Sample-Efficient Safety Assurances using Conformal Prediction by Rachel Luo et al
09-30-2021	Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance by Raphael Trumpp et al
09-29-2021	Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration by Xiao Wang et al
09-28-2021	IGLU: Efficient GCN Training via Lazy Updates by S Deepak Narayanan et al
09-29-2021	PAC-Bayes Information Bottleneck by Zifeng Wang et al
09-30-2021	A Friend Recommendation System using Semantic Based KNN Algorithm by Srikantaiah K C et al
09-28-2021	A Contrastive Learning Approach to Auroral Identification and Classification by Jeremiah W. Johnson et al
09-28-2021	Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication by Lukas Kammerer et al
09-30-2021	Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks by Turker Ince et al
09-29-2021	Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators by Clement Gehring et al
10-01-2021	Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning by Chi-Ken Lu et al
10-01-2021	Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers by Lama B. Niyazi et al
09-28-2021	Multi Expression Programming -- an in-depth description by Mihai Oltean
10-01-2021	New Evolutionary Computation Models and their Applications to Machine Learning by Mihai Oltean
09-29-2021	Stroke recovery phenotyping through network trajectory approaches and graph neural networks by Sanjukta Krishnagopal et al
09-29-2021	An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness by Moninder Singh et al
09-28-2021	Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications by Ethan Grooby et al
09-29-2021	Convolution-Free Waveform Transformers for Multi-Lead ECG Classification by Annamalai Natarajan et al
09-29-2021	PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting by Xinquan Huang et al
09-29-2021	Deep Spatio-Temporal Wind Power Forecasting by Jiangyuan Li et al
09-30-2021	Variational Marginal Particle Filters by Jinlin Lai et al
09-30-2021	Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks by Jungang Zou et al
10-01-2021	Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? by Tom George Grigg et al
09-30-2021	Semi-tensor Product-based TensorDecomposition for Neural Network Compression by Hengling Zhao et al
09-29-2021	One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective by Jiun Tian Hoe et al
09-29-2021	Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions by Sepehr Assadi et al
09-29-2021	Learning Dynamics Models for Model Predictive Agents by Michael Lutter et al
09-28-2021	Learning to Superoptimize Real-world Programs by Alex Shypula et al
09-30-2021	DAAS: Differentiable Architecture and Augmentation Policy Search by Xiaoxing Wang et al
09-30-2021	DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization by Turkay Kart et al
09-30-2021	Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms by Siyuan Liu et al
09-30-2021	DualNet: Continual Learning, Fast and Slow by Quang Pham et al
09-30-2021	SpliceOut: A Simple and Efficient Audio Augmentation Method by Arjit Jain et al
09-30-2021	Machine learning models for prediction of droplet collision outcomes by Arpit Agarwal
10-01-2021	Learning Reward Functions from Scale Feedback by Nils Wilde et al
09-30-2021	Large-scale ASR Domain Adaptation by Self- and Semi-supervised Learning by Dongseong Hwang et al

10-01-2021	Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models by C. Tanner Fredieu et al
09-29-2021	A Generalized Hierarchical Nonnegative Tensor Decomposition by Joshua Vendrow et al
09-28-2021	DEBOSH: Deep Bayesian Shape Optimization by Nikita Durasov et al
10-01-2021	Smooth Normalizing Flows by Jonas Köhler et al
09-29-2021	Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder by Zichuan Chen et al
09-28-2021	Learning Ideological Embeddings from Information Cascades by Corrado Monti et al
10-01-2021	Evaluating the fairness of fine-tuning strategies in self-supervised learning by Jason Ramapuram et al
09-30-2021	XPROAX-Local explanations for text classification with progressive neighborhood approximation by Yi Cai et al
10-01-2021	Tree in Tree: from Decision Trees to Decision Graphs by Bingzhao Zhu et al
09-29-2021	A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction by Vaibhav Sinha et al
09-30-2021	Towards Principled Causal Effect Estimation by Deep Identifiable Models by Pengzhou Wu et al
09-30-2021	Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks by Andreas Wachter et al
09-28-2021	An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry by Venkata Devesh Reddy Seethi et al
10-01-2021	Online Primal-Dual Algorithms with Predictions for Packing Problems by Nguyen Kim Thang et al
09-28-2021	RAFT: A Real-World Few-Shot Text Classification Benchmark by Neel Alex et al
09-28-2021	Cluster Analysis of a Symbolic Regression Search Space by Gabriel Kronberger et al
09-29-2021	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning by Sihan Zeng et al
10-01-2021	Powerpropagation: A sparsity inducing weight reparameterisation by Jonathan Schwarz et al
10-01-2021	Update in Unit Gradient by Ching-Hsun. Tseng et al
09-29-2021	Kernel distance measures for time series, random fields and other structured data by Srinjoy Das et al
09-30-2021	Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation by Jay Patravali et al
09-28-2021	Vitruvion: A Generative Model of Parametric CAD Sketches by Ari Seff et al
09-29-2021	Surveillance Evasion Through Bayesian Reinforcement Learning by Dongping Qi et al
09-28-2021	Reinforcement Learning for Quantitative Trading by Shuo Sun et al
09-29-2021	Large-scale Crash Localization using Multi-Task Learning by Manish Shetty et al
09-29-2021	Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP) by Nancirose Piazza et al
09-29-2021	Active Refinement for Multi-Label Learning: A Pseudo-Label Approach by Cheng-Yu Hsieh et al
10-01-2021	Personalized Rehabilitation Robotics based on Online Learning Control by Samuel Tesfazgi et al
09-28-2021	Machine learning methods for prediction of cancer driver genes: a survey paper by Renan Andrades et al
09-29-2021	EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction by Chao Shu et al
09-28-2021	The Fragility of Optimized Bandit Algorithms by Lin Fan et al
09-28-2021	DeepPSL: End-to-end perception and reasoning with applications to zero shot learning by Nigel Duffy et al
09-28-2021	Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis by Hans De Sterck et al
09-30-2021	#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics by Jacqueline Comer et al
09-28-2021	Stochastic Training is Not Necessary for Generalization by Jonas Geiping et al
09-29-2021	Formulation and validation of a car-following model based on deep reinforcement learning by Fabian Hart et al
09-28-2021	Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity by Wenjing Li et al
09-28-2021	Unsolved Problems in ML Safety by Dan Hendrycks et al
09-29-2021	Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition by Marawan Gamal Abdel Hameed et al
09-28-2021	Neural Dependency Coding inspired Multimodal Fusion by Shiv Shankar
09-28-2021	A First-Occupancy Representation for Reinforcement Learning by Ted Moskovitz et al
10-01-2021	PhiNets: a scalable backbone for low-power AI at the edge by Francesco Paissan et al
10-01-2021	Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing by Hong Zhu et al
10-01-2021	Applying Differential Privacy to Tensor Completion by Zheng Wei et al
09-28-2021	An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data by Xinze Li et al
10-01-2021	Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm by Belhal Karimi et al
09-28-2021	Improving Time Series Classification Algorithms Using Octave-Convolutional Layers by Samuel Harford et al
09-30-2021	On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems by Jayadev Naram et al
09-30-2021	SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss by Konstantin Klemmer et al
09-29-2021	(Machine) Learning to Improve the Empirical Performance of Discrete Algorithms by Imran Adham et al
09-28-2021	Making Curiosity Explicit in Vision-based RL by Elie Aljalbout et al
09-29-2021	Designing Counterfactual Generators using Deep Model Inversion by Jayaraman J. Thiagarajan et al
09-29-2021	Simulation-based Bayesian inference for multi-fingered robotic grasping by Norman Marlier et al
09-29-2021	Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains by Chungjun Lee et al
09-29-2021	On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization by Zehao Dou et al
09-28-2021	Exploring More When It Needs in Deep Reinforcement Learning by Youtian Guo et al
09-28-2021	Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme by Vadim Popov et al
09-30-2021	Adapting Bandit Algorithms for Settings with Sequentially Available Arms by Marco Gabrielli et al
09-30-2021	Coding for Straggler Mitigation in Federated Learning by Siddhartha Kumar et al
09-28-2021	Generating Summaries for Scientific Paper Review by Ana Sabina Uban et al
09-30-2021	A system on chip for melanoma detection using FPGA-based SVM classifier by Shereen Afifi et al
09-30-2021	Fine-tuning wav2vec2 for speaker recognition by Nik Vaessen et al
09-29-2021	Multi-loss ensemble deep learning for chest X-ray classification by Sivaramakrishnan Rajaraman et al
09-30-2021	Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm by Simon Streicher et al
09-29-2021	Equivariant Neural Network for Factor Graphs by Fan-Yun Sun et al
09-28-2021	Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow by Ye-Sheen Lim et al
09-28-2021	Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning by Ziming Liu et al
09-29-2021	Segmentation of Roads in Satellite Images using specially modified U-Net CNNs by Jonas Bokstaller et al
09-30-2021	Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow by Grzegorz Chlebus et al
09-29-2021	Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data by Mahnoosh Sadeghi et al
10-01-2021	Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation by Zheng Li et al
09-30-2021	Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting by Neetesh Rathore et al
09-30-2021	Impact of Channel Variation on One-Class Learning for Spoof Detection by Rohit Arora et al
09-28-2021	Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data by Katharine A. Shapcott et al
10-01-2021	The Complexity of Learning Approval-Based Multiwinner Voting Rules by Ioannis Caragiannis et al
09-28-2021	Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect by Alessio Benavoli et al
09-29-2021	Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification by James A. Grant et al
09-28-2021	Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning by Lequan Yu et al
09-29-2021	Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis by Qi Chen et al
09-29-2021	Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration by Gavin Kerrigan et al
09-28-2021	Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints by Jennie Andersen et al
09-30-2021	Real Robot Challenge using Deep Reinforcement Learning by Robert McCarthy et al
09-28-2021	Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources by Wentao Li et al
10-01-2021	Error-free approximation of explicit linear MPC through lattice piecewise affine expression by Jun Xu
09-28-2021	Local Repair of Neural Networks Using Optimization by Keyvan Majd et al
09-30-2021	UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis by Fatemehsadat Mireshghallah et al
09-30-2021	Iterative Teacher-Aware Learning by Luyao Yuan et al
09-28-2021	Fine-Grained Zero-Shot Learning with DNA as Side Information by Sarkhan Badirli et al
09-30-2021	From Zero-Shot Machine Learning to Zero-Day Attack Detection by Mohanad Sarhan et al
09-29-2021	Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State by Mingqing Xiao et al
09-28-2021	Exploratory State Representation Learning by Astrid Merckling et al
09-29-2021	Stock Index Prediction using Cointegration test and Quantile Loss by Jaeyoung Cheong et al
09-30-2021	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations by Mohammadreza Zolfaghari et al
09-29-2021	Implicit Generative Copulas by Tim Janke et al
09-28-2021	Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query by Gia H. Ngo et al
10-01-2021	Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning by Yan Xia et al
09-29-2021	Batched Bandits with Crowd Externalities by Romain Laroche et al
10-01-2021	Optic Disc Segmentation using Disk-Centered Patch Augmentation by Saeid Motevali et al
09-29-2021	Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST by Hind Alamro et al
09-28-2021	Instance-Based Neural Dependency Parsing by Hiroki Ouchi et al
09-28-2021	Reversible Gromov-Monge Sampler for Simulation-Based Inference by YoonHaeng Hur et al
09-30-2021	Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks by Mufeng Tang et al
09-28-2021	Improving Dialogue State Tracking by Joint Slot Modeling by Ting-Rui Chiang et al
09-29-2021	An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics by Matthew Olszta et al
10-01-2021	Leveraging power grid topology in machine learning assisted optimal power flow by Thomas Falconer et al
10-01-2021	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference by Jude Haris et al
09-30-2021	Learning the Markov Decision Process in the Sparse Gaussian Elimination by Yingshi Chen
10-01-2021	Learn to Communicate with Neural Calibration: Scalability and Generalization by Yifan Ma et al
10-01-2021	TyXe: Pyro-based Bayesian neural nets for Pytorch by Hippolyt Ritter et al
09-28-2021	Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation by Haizhou Shi et al
09-29-2021	BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining by Weizhe Hua et al
09-28-2021	Multimodality in Meta-Learning: A Comprehensive Survey by Yao Ma et al
09-29-2021	Explanation-Aware Experience Replay in Rule-Dense Environments by Francesco Sovrano et al
09-28-2021	The impact of non-target events in synthetic soundscapes for sound event detection by Francesca Ronchini et al
09-28-2021	Adaptive Multi-layer Contrastive Graph Neural Networks by Shuhao Shi et al
09-28-2021	Second-Order Neural ODE Optimizer by Guan-Horng Liu et al
09-30-2021	Comparing Sequential Forecasters by Yo Joong Choe et al
09-30-2021	Scientific evidence extraction by Brandon Smock et al
09-28-2021	Temporal Clustering with External Memory Network for Disease Progression Modeling by Zicong Zhang et al
09-30-2021	AffectGAN: Affect-Based Generative Art Driven by Semantics by Theodoros Galanos et al
09-30-2021	LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values by Zhao-Yu Zhang et al
09-28-2021	What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development by Thi Thu Hang Do et al
09-30-2021	Deep Neural Compression Via Concurrent Pruning and Self-Distillation by James O' Neill et al
10-01-2021	Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis by Soheil Zabihi et al
10-01-2021	LEMON: Explainable Entity Matching by Nils Barlaug
09-29-2021	Deep neural networks with controlled variable selection for the identification of putative causal genetic variants by Peyman H. Kassani et al
09-29-2021	PyHard: a novel tool for generating hardness embeddings to support data-centric analysis by Pedro Yuri Arbs Paiva et al
09-28-2021	Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables by Alexa Muratyan et al
09-28-2021	ff-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception by Dhaivat Bhatt et al
09-29-2021	A Comprehensive Survey and Performance Analysis of Activation Functions in Deep Learning by Shiv Ram Dubey et al
09-29-2021	Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization by Chieko Sarah Imai et al