2021.3.29 Learning papers

03-23-2021	Generative Minimization Networks: Training GANs Without Competition by Paulina Grnarova et al
03-25-2021	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows by Ze Liu et al
03-24-2021	Addressing catastrophic forgetting for medical domain expansion by Sharut Gupta et al
03-23-2021	How to decay your learning rate by Aitor Lewkowycz
03-24-2021	FastMoE: A Fast Mixture-of-Expert Training System by Jiaao He et al
03-23-2021	The Success of AdaBoost and Its Application in Portfolio Management by Yijian Chuan et al
03-25-2021	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels by Evgenii Zheltonozhskii et al
03-26-2021	Understanding Robustness of Transformers for Image Classification by Srinadh Bhojanapalli et al
03-24-2021	One-Shot GAN: Learning to Generate Samples from Single Images and Videos by Vadim Sushko et al
03-25-2021	Contrasting Contrastive Self-Supervised Representation Learning Models by Klemen Kotar et al
03-25-2021	Scaling-up Disentanglement for Image Translation by Aviv Gabbay et al
03-26-2021	Dodrio: Exploring Transformer Models with Interactive Visualization by Zijie J. Wang et al
03-24-2021	TagMe: GPS-Assisted Automatic Object Annotation in Videos by Songtao He et al
03-23-2021	Robust and Accurate Object Detection via Adversarial Learning by Xiangning Chen et al
03-25-2021	Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions by Gautam Rajendrakumar Gare et al
03-23-2021	Interpretable ML-driven Strategy for Automated Trading Pattern Extraction by Artur Sokolovsky et al
03-23-2021	Spatial Intention Maps for Multi-Agent Mobile Manipulation by Jimmy Wu et al
03-23-2021	Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification by Benjamin Eysenbach et al
03-26-2021	Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings by Adrian Wolny et al
03-24-2021	Why Do Local Methods Solve Nonconvex Problems? by Tengyu Ma
03-24-2021	Efficient Feature Transformations for Discriminative and Generative Continual Learning by Vinay Kumar Verma et al
03-24-2021	Learning to Generate Code Comments from Class Hierarchies by Jiyang Zhang et al
03-24-2021	Are Multilingual Models Effective in Code-Switching? by Genta Indra Winata et al
03-24-2021	Matched sample selection with GANs for mitigating attribute confounding by Chandan Singh et al
03-24-2021	Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories by Daan Hommersom et al
03-23-2021	BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search by Changlin Li et al
03-25-2021	THAT: Two Head Adversarial Training for Improving Robustness at Scale by Zuxuan Wu et al
03-24-2021	Representing Numbers in NLP: a Survey and a Vision by Avijit Thawani et al
03-23-2021	DIG: A Turnkey Library for Diving into Graph Deep Learning Research by Meng Liu et al
03-25-2021	Spirit Distillation: Precise Real-time Prediction with Insufficient Data by Zhiyuan Wu et al
03-25-2021	AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting by Ye Yuan et al
03-25-2021	MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography by Xianbo Mo et al
03-24-2021	Deepfake Forensics via An Adversarial Game by Zhi Wang et al
03-24-2021	VLGrammar: Grounded Grammar Induction of Vision and Language by Yining Hong et al
03-24-2021	Diverse Branch Block: Building a Convolution as an Inception-like Unit by Xiaohan Ding et al
03-24-2021	Test-Time Training for Deformable Multi-Scale Image Registration by Wentao Zhu et al
03-25-2021	Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark by Brian K. S. Isaac-Medina et al
03-23-2021	Learning to Optimize: A Primer and A Benchmark by Tianlong Chen et al
03-25-2021	SSLayout360: Semi-Supervised Indoor Layout Estimation from 360∘∘ Panorama by Phi Vu Tran
03-25-2021	Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy by Agnieszka Barbara Szczotka et al
03-25-2021	Explainability Guided Multi-Site COVID-19 CT Classification by Ameen Ali et al
03-25-2021	Real-time low-resource phoneme recognition on edge devices by Yonatan Alon
03-23-2021	IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography by Alina Jade Barnett et al
03-25-2021	Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression by Wanhua Li et al
03-25-2021	Equality before the Law: Legal Judgment Consistency Analysis for Fairness by Yuzhong Wang et al
03-24-2021	On the Convexity of Discrete Time Covariance Steering in Stochastic Linear Systems with Wasserstein Terminal Cost by Isin M. Balci et al
03-23-2021	SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms by Nitthilan Kannappan Jayakodi et al
03-24-2021	Rethinking Self-Supervised Learning: Small is Beautiful by Yun-Hao Cao et al
03-25-2021	Recent Advances in Large Margin Learning by Yiwen Guo et al
03-24-2021	Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction by Tri Minh Nguyen et al
03-25-2021	OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations by Yang Tan et al
03-25-2021	ECINN: Efficient Counterfactuals from Invertible Neural Networks by Frederik Hvilshøj et al
03-23-2021	SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression by Steve Yadlowsky et al
03-25-2021	Model Order Reduction based on Runge-Kutta Neural Network by Qinyu Zhuang et al
03-24-2021	Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples by Charles Burton et al
03-24-2021	Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images by Hui-Ying Siao et al
03-24-2021	Black-box Detection of Backdoor Attacks with Limited Information and Data by Yinpeng Dong et al
03-23-2021	On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions by Aaron Havens et al
03-26-2021	Evaluation of deep learning models for multi-step ahead time series prediction by Rohitash Chandra et al
03-24-2021	Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity by Mohammadamin Tavakoli et al
03-23-2021	Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling by Pratyay Banerjee et al
03-23-2021	Stochastic Reweighted Gradient Descent by Ayoub El Hanchi et al
03-25-2021	The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI by Chuang Gan et al
03-23-2021	Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method by Shengjun Zhang et al
03-26-2021	Node metadata can produce predictability transitions in network inference problems by Oscar Fajardo-Fontiveros et al
03-23-2021	The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? by Antonio Emanuele Cinà et al
03-26-2021	Continual Speaker Adaptation for Text-to-Speech Synthesis by Hamed Hemati et al
03-25-2021	On the Complexity of Learning Description Logic Ontologies by Ana Ozaki
03-25-2021	Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition by Alessandro Perelli et al
03-24-2021	Minimax Regret for Stochastic Shortest Path by Alon Cohen et al
03-26-2021	SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images by Tamir Blum et al
03-25-2021	Learning landmark geodesics using Kalman ensembles by Andreas Bock et al
03-25-2021	Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis by Nikhil Singh et al
03-24-2021	Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks by Haobing Liu et al
03-23-2021	Meta-Learned Invariant Risk Minimization by Jun-Hyun Bae et al
03-23-2021	Watermark Faker: Towards Forgery of Digital Image Watermarking by Ruowei Wang et al
03-23-2021	Finite Impulse Response Filters for Simplicial Complexes by Maosheng Yang et al
03-24-2021	Active Multitask Learning with Committees by Jingxi Xu et al
03-23-2021	Supporting Clustering with Contrastive Learning by Dejiao Zhang et al
03-25-2021	Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems by Matthew Burruss et al
03-25-2021	Residual Energy-Based Models for End-to-End Speech Recognition by Qiujia Li et al
03-23-2021	Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis by Paul Horton et al
03-23-2021	CNN vs ELM for Image-Based Malware Classification by Mugdha Jain et al
03-24-2021	ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture by Ryan Kortvelesy et al
03-24-2021	Discriminator Augmented Model-Based Reinforcement Learning by Behzad Haghgoo et al
03-24-2021	The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication by Xing Xu et al
03-24-2021	Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving by Soumi Das et al
03-25-2021	Deep Two-way Matrix Reordering for Relational Data Analysis by Chihiro Watanabe et al
03-23-2021	Contrastive Reasoning in Neural Networks by Mohit Prabhushankar et al
03-25-2021	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network by Thorir Mar Ingolfsson et al
03-26-2021	MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning by Akshay Smit et al
03-23-2021	Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning by Sonal Garg et al
03-24-2021	Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks by Yangkun Wang
03-26-2021	UMAP does not reproduce high-dimensional similarities due to negative sampling by Sebastian Damrich et al
03-26-2021	Data Quality as Predictor of Voice Anti-Spoofing Generalization by Bhusan Chettri et al
03-24-2021	Multi-Label Classification Neural Networks with Hard Logical Constraints by Eleonora Giunchiglia et al
03-25-2021	Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions by Thanh Nguyen-Duc et al
03-24-2021	Shift-and-Balance Attention by Chunjie Luo et al
03-24-2021	Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems by Hexuan Liu et al
03-25-2021	ACRE: Abstract Causal REasoning Beyond Covariation by Chi Zhang et al
03-25-2021	Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution by Chi Zhang et al
03-25-2021	Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance by Xu Xie et al
03-24-2021	Conditions and Assumptions for Constraint-based Causal Structure Learning by Kayvan Sadeghi et al
03-24-2021	A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision by Lu Xia et al
03-24-2021	From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search by Rui Li et al
03-26-2021	Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation by Muhammad Islam et al
03-25-2021	Robust subgroup discovery by Hugo Manuel Proença et al
03-24-2021	Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability by Tom Hammerbacher et al
03-25-2021	Quantitative Prediction on the Enantioselectivity of Multiple Chiral Iodoarene Scaffolds Based on Whole Geometry by Prema Dhorma Lama et al
03-23-2021	Balanced Softmax Cross-Entropy for Incremental Learning by Quentin Jodelet et al
03-25-2021	Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning by Yaqi Duan et al
03-23-2021	Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration by Jaekyeom Kim et al
03-24-2021	Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition by Enrique Sanchez et al
03-24-2021	On Sequential Bayesian Optimization with Pairwise Comparison by Tanya Ignatenko et al
03-26-2021	Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond by Zhishen Huang et al
03-23-2021	Co-matching: Combating Noisy Labels by Augmentation Anchoring by Yangdi Lu et al
03-26-2021	Visionary: Vision architecture discovery for robot learning by Iretiayo Akinola et al
03-24-2021	Approximating Instance-Dependent Noise via Instance-Confidence Embedding by Yivan Zhang et al
03-26-2021	Combating Adversaries with Anti-Adversaries by Motasem Alfarra et al
03-26-2021	Multimodal Knowledge Expansion by Zihui Xue et al
03-23-2021	An augmentation strategy to mimic multi-scanner variability in MRI by Maria Ines Meyer et al
03-26-2021	OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation by Yifan You et al
03-25-2021	Adversarial Attacks are Reversible with Natural Supervision by Chengzhi Mao et al
03-26-2021	A computationally efficient neural network for predicting weather forecast probabilities by Mariana Clare et al
03-24-2021	Improving Editorial Workflow and Metadata Quality at Springer Nature by Angelo A. Salatino et al
03-24-2021	Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition by Stefan Schrunner et al
03-26-2021	Character Controllers Using Motion VAEs by Hung Yu Ling et al
03-26-2021	Elvet -- a neural network-based differential equation and variational problem solver by Jack Y. Araz et al
03-25-2021	Enabling Incremental Training with Forward Pass for Edge Devices by Dana AbdulQader et al

03-24-2021	MIcro-Surgical Anastomose Workflow recognition challenge report by Arnaud Huaulmé et al
03-24-2021	Information-based Disentangled Representation Learning for Unsupervised MR Harmonization by Lianrui Zuo et al
03-23-2021	A VAE-Based Bayesian Bidirectional LSTM for Renewable Energy Forecasting by Devinder Kaur et al
03-24-2021	Knowledge-aware Contrastive Molecular Graph Learning by Yin Fang et al
03-24-2021	An evidential classifier based on Dempster-Shafer theory and deep learning by Zheng Tong et al
03-23-2021	ReCU: Reviving the Dead Weights in Binary Neural Networks by Zihan Xu et al
03-23-2021	Joint Distribution across Representation Space for Out-of-Distribution Detection by JingWei Xu et al
03-25-2021	Training Neural Networks Using the Property of Negative Feedback to Inverse a Function by Md Munir Hasan et al
03-25-2021	Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation by Chris Waites et al
03-23-2021	NNrepair: Constraint-based Repair of Neural Network Classifiers by Muhammad Usman et al
03-23-2021	Bandit Learning for Dynamic Colonel Blotto Game with a Budget Constraint by Vincent Leon et al
03-25-2021	Full Encoder: Make Autoencoders Learn Like PCA by Zhouzheng Li et al
03-26-2021	Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph by Emanuela Haller et al
03-25-2021	Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond by Brian Kim et al
03-24-2021	Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications by Sangsu Lee et al
03-26-2021	Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots by Zhongyu Li et al
03-23-2021	ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning by Oliver Lutz et al
03-26-2021	Rethinking Graph Neural Network Search from Message-passing by Shaofei Cai et al
03-24-2021	The Shapley Value of coalition of variables provides better explanations by Salim I. Amoukou et al
03-23-2021	Neural ODE Processes by Alexander Norcliffe et al
03-24-2021	Symmetry-Preserving Paths in Integrated Gradients by Miguel Lerma et al
03-23-2021	Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation by Andrea Zanette et al
03-25-2021	Copolymer Informatics with Multi-Task Deep Neural Networks by Christopher Kuenneth et al
03-26-2021	Hierarchical Quantized Federated Learning: Convergence Analysis and System Design by Lumin Liu et al
03-23-2021	Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning by Hiroki Furuta et al
03-26-2021	Unsupervised Multi-Index Semantic Hashing by Christian Hansen et al
03-23-2021	Self-supervised representation learning from 12-lead ECG data by Temesgen Mehari et al
03-23-2021	Detecting Phishing Sites -- An Overview by P. Kalaharsha et al
03-26-2021	Prior-Free Auctions for the Demand Side of Federated Learning by Andreas Haupt et al
03-26-2021	Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks by Arjun Kaushik et al
03-24-2021	Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case by Benoit Collins et al
03-25-2021	Discriminative Semantic Transitive Consistency for Cross-Modal Learning by Kranti Kumar Parida et al
03-25-2021	InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion by Qili Zeng et al
03-26-2021	Composable Learning with Sparse Kernel Representations by Ekaterina Tolstaya et al
03-26-2021	Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation by Dohun Lim et al
03-25-2021	Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach by Nathan Kallus et al
03-24-2021	An Empirical Analysis of Image-Based Learning Techniques for Malware Classification by Pratikkumar Prajapati et al
03-25-2021	Persistence Homology of TEDtalk: Do Sentence Embeddings Have a Topological Shape? by Shouman Das et al
03-25-2021	Self-Labeling of Fully Mediating Representations by Graph Alignment by Martijn Oldenhof et al
03-23-2021	Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload by Johan Kok Zhi Kang et al
03-26-2021	Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering by Christian Hansen et al
03-23-2021	Any Part of Bayesian Network Structure Learning by Zhaolong Ling et al
03-23-2021	Extracting Causal Visual Features for Limited label Classification by Mohit Prabhushankar et al
03-23-2021	Bandits with many optimal arms by Rianne de Heide et al
03-23-2021	CLIP: Cheap Lipschitz Training of Neural Networks by Leon Bungert et al
03-23-2021	Neural Architecture Search From Fr\echet Task Distance by Cat P. Le et al
03-23-2021	Detecting micro fractures with X-ray computed tomography by Dongwon Lee et al
03-26-2021	Embedding Power Flow into Machine Learning for Parameter and State Estimation by Laurent Pagnier et al
03-26-2021	Online structural health monitoring by model order reduction and deep learning algorithms by Luca Rosafalco et al
03-25-2021	Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation by Attila Szabo et al
03-23-2021	Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework by Aquib Mustafa et al
03-26-2021	Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching by Hiroki Sakuma et al
03-26-2021	Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow by John McLeod et al
03-26-2021	FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches by Angelos Chatzimparmpas et al
03-26-2021	Gated Transformer Networks for Multivariate Time Series Classification by Minghao Liu et al
03-26-2021	Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution by Omer San et al
03-26-2021	Vulnerability Due to Training Order in Split Learning by Harshit Madaan et al
03-24-2021	Feature Weighted Non-negative Matrix Factorization by Mulin Chen et al
03-25-2021	Learning Temporal Quantum Tomography by Quoc Hoan Tran et al
03-24-2021	A Variational Inequality Approach to Bayesian Regression Games by Wenshuo Guo et al
03-25-2021	Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems by Grace A. Lewis et al
03-23-2021	Pairwise Adjusted Mutual Information by Denys Lazarenko et al
03-26-2021	RCT: Resource Constrained Training for Edge AI by Tian Huang et al
03-25-2021	Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE by Clément Chadebec et al
03-24-2021	Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System by Yiwen Lu et al
03-25-2021	FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders by Wei Chen et al
03-23-2021	Depth-based pseudo-metrics between probability distributions by Guillaume Staerman et al
03-24-2021	Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information by Wei Huang et al
03-23-2021	Diversity Regularized Interests Modeling for Recommender Systems by Junmei Hao et al
03-24-2021	Blind Speech Separation and Dereverberation using Neural Beamforming by Lukas Pfeifenberger et al
03-25-2021	Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks by Ali Pourranjbar et al
03-23-2021	Attention-based neural re-ranking approach for next city in trip recommendations by Aleksandr Petrov et al
03-23-2021	Benign Overfitting of Constant-Stepsize SGD for Linear Regression by Difan Zou et al
03-23-2021	An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap by Yuanhao Wang et al
03-23-2021	Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks by Pin Wang et al
03-24-2021	Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization by Chenguang Wang et al
03-23-2021	Using Meta-learning to Recommend Process Discovery Methods by Sylvio Barbon et al
03-26-2021	Model-Free Learning of Safe yet Effective Controllers by Alper Kamil Bozkurt et al
03-24-2021	Unsupervised collaborative learning using privileged information by Yohan Foucade et al
03-24-2021	Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity by Ziyi Chen et al
03-25-2021	Beyond permutation equivariance in graph networks by Emma Slade et al
03-23-2021	A New Approach To Text Rating Classification Using Sentiment Analysis by Thomas Konstantinovsky
03-23-2021	Deep KKL: Data-driven Output Prediction for Non-Linear Systems by Steeven Janny et al
03-24-2021	Prediction in the presence of response-dependent missing labels by Hyebin Song et al
03-25-2021	Active Structure Learning of Bayesian Networks in an Observational Setting by Noa Ben-David et al
03-25-2021	Multinomial Logit Contextual Bandits: Provable Optimality and Practicality by Min-hwan Oh et al
03-25-2021	Adversarial Imitation Learning with Trajectorial Augmentation and Correction by Dafni Antotsiou et al
03-23-2021	Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop by Samy Wu Fung et al
03-23-2021	Initializing ReLU networks in an expressive subspace of weights by Dayal Singh et al
03-25-2021	Interpretable Approximation of High-Dimensional Data by Daniel Potts et al
03-26-2021	Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models by Saumya Saxena et al
03-25-2021	DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches by Taylan K. Sen et al
03-23-2021	Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment by Madhurananda Pahar et al
03-23-2021	Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits by Saeed Masoudian et al
03-26-2021	A Practical Survey on Faster and Lighter Transformers by Quentin Fournier et al
03-23-2021	Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks by Arnau Rovira-Sugranes et al
03-26-2021	Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans by Xavier Rafael-Palou et al
03-23-2021	Multipath-based SLAM using Belief Propagation with Interacting Multiple Dynamic Models by Erik Leitinger et al
03-26-2021	Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives by Javier Del Ser et al
03-25-2021	Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs by Sean Li et al
03-23-2021	PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code by Egor Spirin et al
03-26-2021	SKID RAW: Skill Discovery from Raw Trajectories by Daniel Tanneberg et al
03-26-2021	Geometric Affinity Propagation for Clustering with Network Knowledge by Omar Maddouri et al
03-26-2021	The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof by Gabrel Turinici
03-24-2021	Efficient Multi-Objective Optimization for Deep Learning by Michael Ruchte et al
03-26-2021	Improved Initialization of State-Space Artificial Neural Networks by Maarten Schoukens
03-26-2021	Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms by Suchithra Rajendran et al
03-23-2021	Improved Estimation of Concentration Under ℓpℓp-Norm Distance Metrics Using Half Spaces by Jack Prescott et al
03-26-2021	Online learning with exponential weights in metric spaces by Quentin Paris
03-23-2021	Can I Solve It? Identifying APIs Required to Complete OSS Task by Fabio Santos et al
03-25-2021	Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning by Andrew S. Morgan et al
03-24-2021	CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL by Iretiayo Akinola et al
03-23-2021	Promoting Fairness through Hyperparameter Optimization by André F. Cruz et al
03-23-2021	Binary disease prediction using tail quantiles of the distribution of continuous biomarkers by Michiel H. J. Paus et al
03-23-2021	Neural Network Controller for Autonomous Pile Loading Revised by Wenyan Yang et al
03-25-2021	Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities by Yang Han et al
03-25-2021	Active multi-fidelity Bayesian online changepoint detection by Gregory W. Gundersen et al
03-23-2021	Applying graph matching techniques to enhance reuse of plant design information by Miia Rantala et al
03-23-2021	Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization by Philipp Andelfinger
03-23-2021	PAC-Bayesian theory for stochastic LTI systems by Deividas Eringis et al
03-23-2021	A High-order Tuner for Accelerated Learning and Control by Spencer McDonald et al
03-25-2021	The Geometry of Over-parameterized Regression and Adversarial Perturbations by Jason W. Rocks et al
03-23-2021	PAC-learning gains of Turing machines over circuits and neural networks by Brieuc Pinon et al
03-23-2021	On gray-box modeling for virtual flow metering by Mathilde Hotvedt et al
03-26-2021	Robot Program Parameter Inference via Differentiable Shadow Program Inversion by Benjamin Alt et al
03-25-2021	Nearly Horizon-Free Offline Reinforcement Learning by Tongzheng Ren et al
03-23-2021	Embracing the Disharmony in Heterogeneous Medical Data by Rongguang Wang et al
03-25-2021	Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation by Yi Sun et al
03-25-2021	SMILE: Self-Distilled MIxup for Efficient Transfer LEarning by Xingjian Li et al
03-23-2021	Anomaly detection using principles of human perception by Nassir Mohammad
03-23-2021	Health Status Prediction with Local-Global Heterogeneous Behavior Graph by Xuan Ma et al
03-23-2021	Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature by Pan Zeng et al
03-25-2021	Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents by Camilo Gordillo et al
03-23-2021	Expanding Semantic Knowledge for Zero-shot Graph Embedding by Zheng Wang et al
03-23-2021	Towards interpretability of Mixtures of Hidden Markov Models by Negar Safinianaini et al
03-23-2021	BoXHED 2.0: Scalable boosting of functional data in survival analysis by Arash Pakbin et al
03-24-2021	Entropy Minimizing Matrix Factorization by Mulin Chen et al
03-23-2021	GA-SVM for Evaluating Heroin Consumption Risk by Sean-Kelly Palicki et al
03-25-2021	Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows by Tizian Wenzel et al
03-25-2021	A Meta-Reinforcement Learning Approach to Process Control by Daniel G. McClement et al
03-24-2021	Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks by Sansiri Tarnpradab et al
03-25-2021	Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving by Briti Gangopadhyay et al
03-25-2021	A Retail Product Categorisation Dataset by Febin Sebastian Elayanithottathil et al
03-25-2021	User-Oriented Smart General AI System under Causal Inference by Huimin Peng
03-25-2021	Classification of Pneumonia and Tuberculosis from Chest X-rays by M. Abubakar et al
03-23-2021	Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems by Gero Friesecke et al
03-23-2021	Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs by Ramneet Kaur et al
03-25-2021	Searching for waveforms on spatially-filtered epileptic ECoG by Carlos H. Mendoza-Cardenas et al
03-23-2021	Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand by Jože M. Rožanec et al
03-23-2021	FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning by Minxue Tang et al
03-24-2021	A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios by Ayush Triapthi et al
03-24-2021	Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report by Akriti Chadda et al
03-25-2021	Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search by Sebastian Musslick
03-25-2021	Autism Spectrum Disorder Screening Using Discriminative Brain Sub-Networks: An Entropic Approach by Mohammad Amin et al
03-25-2021	Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space by Marion Neumeier et al
03-25-2021	Deep Similarity Learning for Sports Team Ranking by Daniel Yazbek et al
03-25-2021	Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach by Francesco Zanini et al
03-23-2021	Learning 6DoF Grasping Using Reward-Consistent Demonstration by Daichi Kawakami et al
03-25-2021	About the regularity of the discriminator in conditional WGANs by Jörg Martin
03-25-2021	Robust Data-Driven Predictive Control using Reachability Analysis by Amr Alanwar et al