2021.3.8 Learning papers

03-04-2021	Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth by Yihe Dong et al
03-02-2021	Categorical Foundations of Gradient-Based Learning by G. S. H. Cruttwell et al
03-02-2021	Predicting Video with VQVAE by Jacob Walker et al
03-05-2021	Measuring Mathematical Problem Solving With the MATH Dataset by Dan Hendrycks et al
03-03-2021	Towards Open World Object Detection by K J Joseph et al
03-03-2021	Domain Generalization: A Survey by Kaiyang Zhou et al
03-02-2021	Neural Production Systems by Anirudh Goyal et al
03-03-2021	Energy-Based Learning for Scene Graph Generation by Mohammed Suhail et al
03-02-2021	Adversarial Examples for Unsupervised Machine Learning Models by Chia-Yi Hsu et al
03-02-2021	Medical Imaging and Machine Learning by Rohan Shad et al
03-05-2021	Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction by Yoshihiro Okawa et al
03-02-2021	Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations by Neil Jethani et al
03-02-2021	Fairness in Credit Scoring: Assessment, Implementation and Profit Implications by Nikita Kozodoi et al
03-04-2021	A Structural Causal Model for MR Images of Multiple Sclerosis by Jacob C. Reinhold et al
03-02-2021	Median Optimal Treatment Regimes by Liu Leqi et al
03-03-2021	Event-based Synthetic Aperture Imaging by Xiang Zhang et al
03-03-2021	Adaptive Consistency Regularization for Semi-Supervised Transfer Learning by Abulikemu Abuduweili et al
03-02-2021	Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers by M. Abid et al
03-02-2021	Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation by Mohamed Seif et al
03-02-2021	Comparison of Methods Generalizing Max- and Average-Pooling by Florentin Bieder et al
03-02-2021	An End-to-End Network for Emotion-Cause Pair Extraction by Aaditya Singh et al
03-04-2021	Measuring Model Biases in the Absence of Ground Truth by Osman Aka et al
03-05-2021	Golem: An algorithm for robust experiment and process optimization by Matteo Aldeghi et al
03-02-2021	Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) by Jan Stanczuk et al
03-05-2021	Compositional Explanations for Image Classifiers by Hana Chockler et al
03-02-2021	Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition by Marvin Chancán et al
03-02-2021	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network by Fangxin Liu et al
03-02-2021	PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception by Aviv Netanyahu et al
03-03-2021	Bulk Production Augmentation Towards Explainable Melanoma Diagnosis by Kasumi Obi et al
03-03-2021	Task Aligned Generative Meta-learning for Zero-shot Learning by Zhe Liu et al
03-03-2021	Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation by Hemang Chawla et al
03-02-2021	Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior by Mario González et al
03-02-2021	A Survey On Universal Adversarial Attack by Chaoning Zhang et al
03-02-2021	EnD: Entangling and Disentangling deep representations for bias correction by Enzo Tartaglione et al
03-02-2021	Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding by Tayyebeh Jahani-Nezhad et al
03-02-2021	On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection by Lázaro J. González-Soler et al
03-02-2021	Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation by Manish Sahu et al
03-02-2021	Fixing Data Augmentation to Improve Adversarial Robustness by Sylvestre-Alvise Rebuffi et al
03-03-2021	Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning by Somesh Mohapatra et al
03-05-2021	Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices by Md Mohaimenuzzaman et al
03-02-2021	Contextually Guided Convolutional Neural Networks for Learning Most Transferable Representations by Olcay Kursun et al
03-02-2021	Deep Learning strategies for ProtoDUNE raw data denoising by Marco Rossi et al
03-02-2021	Pseudo-labeling for Scalable 3D Object Detection by Benjamin Caine et al
03-02-2021	Feature-Align Network and Knowledge Distillation for Efficient Denoising by Lucas D. Young et al
03-02-2021	Audio scene monitoring using redundant un-localized microphone arrays by Peter Gerstoft et al
03-03-2021	On the effectiveness of adversarial training against common corruptions by Klim Kireev et al
03-02-2021	Learning with Hyperspherical Uniformity by Weiyang Liu et al
03-05-2021	Multilingual Byte2Speech Text-To-Speech Models Are Few-shot Spoken Language Learners by Mutian He et al
03-02-2021	Learning Robust Beamforming for MISO Downlink Systems by Junbeom Kim et al
03-02-2021	PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics by Nati Daniel et al
03-03-2021	Dya like DAGs? A Survey on Structure Learning and Causal Discovery by Matthew J. Vowels et al
03-02-2021	The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games by Chao Yu et al
03-05-2021	Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis by Jiaye Teng et al
03-03-2021	Deep Learning for Virus-Spreading Forecasting: a Brief Survey by Federico Baldo et al
03-02-2021	A Novel CNN-LSTM-based Approach to Predict Urban Expansion by Wadii Boulila et al
03-03-2021	Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning by Dian Fan et al
03-04-2021	DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery by Jiayu Chen et al
03-02-2021	FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs by Jan Portisch et al
03-05-2021	Rissanen Data Analysis: Examining Dataset Characteristics via Description Length by Ethan Perez et al
03-02-2021	Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization by Tolga Ergen et al
03-05-2021	Contrastive Disentanglement in Generative Adversarial Networks by Lili Pan et al
03-05-2021	Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning by Michel Denuit et al
03-02-2021	Decomposing lexical and compositional syntax and semantics with deep language models by Charlotte Caucheteux et al
03-02-2021	Interpretable Multi-Modal Hate Speech Detection by Prashanth Vijayaraghavan et al
03-04-2021	Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack by Mengting Xu et al
03-05-2021	NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition by Syed Safwan Khalid et al
03-05-2021	Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network by Balzategui Julen et al
03-03-2021	DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization by Javier Hernandez et al
03-05-2021	FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation by Cosmin I. Bercea et al
03-02-2021	Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases by Xiao Huang et al
03-05-2021	Cycle Self-Training for Domain Adaptation by Hong Liu et al
03-02-2021	TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning by Bingyan Liu et al
03-05-2021	ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation by Raunak Dey et al
03-03-2021	Land Cover Mapping in Limited Labels Scenario: A Survey by Rahul Ghosh et al
03-05-2021	A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders by Baptiste Cavarec et al
03-05-2021	Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning by Anand Ramakrishnan et al
03-05-2021	Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs by Jiajun Chen et al
03-02-2021	DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing by Wenxiao Wang et al
03-02-2021	A Theorem of the Alternative for Personalized Federated Learning by Shuxiao Chen et al
03-02-2021	Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19 by Ahmed Fakhry et al
03-05-2021	FloMo: Tractable Motion Prediction with Normalizing Flows by Christoph Schöller et al
03-05-2021	Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems by Yuka Masumoto et al
03-05-2021	Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC) by Jean Le'Clerc Arrastia et al
03-03-2021	On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators by Pasquale Cascarano et al
03-03-2021	Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea by Nikolay O. Nikitin et al
03-02-2021	Differentiable Inductive Logic Programming for Structured Examples by Hikaru Shindo et al
03-02-2021	Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks by David Gamarnik et al
03-05-2021	Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games by Daniel Leite et al
03-03-2021	Approximation Algorithms for Socially Fair Clustering by Yury Makarychev et al
03-02-2021	DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations by Eitan Borgnia et al
03-02-2021	Missing Value Imputation on Multidimensional Time Series by Parikshit Bansal et al
03-05-2021	Hierarchical Transformer for Multilingual Machine Translation by Albina Khusainova et al
03-03-2021	Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation by Runzhe Zhan et al
03-05-2021	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation by Kilian Fatras et al
03-02-2021	Factoring out prior knowledge from low-dimensional embeddings by Edith Heiter et al
03-02-2021	Double Coverage with Machine-Learned Advice by Alexander Lindermayr et al
03-02-2021	Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data by Lawrence A. Bull et al
03-03-2021	LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes by Pawan Goyal et al
03-05-2021	Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness by Sahra Ghalebikesabi et al
03-03-2021	Continuous Speech Separation with Ad Hoc Microphone Arrays by Dongmei Wang et al
03-02-2021	Sparse Training Theory for Scalable and Efficient Agents by Decebal Constantin Mocanu et al
03-02-2021	PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization by Bingyan Liu et al
03-05-2021	Physics-aware deep neural networks for surrogate modeling of turbulent natural convection by Didier Lucor et al
03-03-2021	IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures by Jun Wang et al
03-03-2021	Learning to Manipulate Amorphous Materials by Yunbo Zhang et al
03-05-2021	Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks by Tommaso Salvatori et al
03-05-2021	Meta Learning Black-Box Population-Based Optimizers by Hugo Siqueira Gomes et al
03-02-2021	Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments by B. Svetozarevic et al
03-02-2021	Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic by Fabio Saggese et al
03-04-2021	Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change by Ryuichi Kanoh et al
03-02-2021	Cross-Domain Recommendation: Challenges, Progress, and Prospects by Feng Zhu et al
03-04-2021	Federated Learning with Randomized Douglas-Rachford Splitting Methods by Nhan H. Pham et al
03-02-2021	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks by Irina Deeva et al
03-02-2021	Graph-Time Convolutional Neural Networks by Elvin Isufi et al
03-05-2021	Loss Estimators Improve Model Generalization by Vivek Narayanaswamy et al
03-05-2021	Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles by Zijian Zhang et al
03-02-2021	Strategic Classification Made Practical by Sagi Levanon et al

03-02-2021	Statistical Post-processing for Gridded Temperature Forecasts Using Encoder-Decoder Based Deep Convolutional Neural Networks by Atsushi Kudo
03-02-2021	Online Adversarial Attacks by Andjela Mladenovic et al
03-02-2021	ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples by Mingfu Xue et al
03-03-2021	Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection by Stanislav Sobolevsky
03-05-2021	Dont Forget to Sign the Gradients! by Omid Aramoon et al
03-02-2021	Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training by Dorjan Hitaj et al
03-03-2021	Minimum-Distortion Embedding by Akshay Agrawal et al
03-02-2021	SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification by Alireza Nasiri et al
03-02-2021	Slow-Growing Trees by Philippe Goulet Coulombe
03-05-2021	Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs by Lorenzo Dall'Amico et al
03-04-2021	Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data by Esther Rolf et al
03-02-2021	Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network by Junghyun Koo et al
03-02-2021	Label-Imbalanced and Group-Sensitive Classification under Overparameterization by Ganesh Ramachandra Kini et al
03-02-2021	A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking by Chaoning Zhang et al
03-04-2021	Learning to Schedule DAG Tasks by Zhigang Hua et al
03-04-2021	Routing algorithms as tools for integrating social distancing with emergency evacuation by Yi-Lin Tsai et al
03-02-2021	Private Stochastic Convex Optimization: Optimal Rates in ℓ1ℓ1 Geometry by Hilal Asi et al
03-02-2021	Offline Reinforcement Learning with Pseudometric Learning by Robert Dadashi et al
03-05-2021	Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces by George Tsialiamanis et al
03-02-2021	Self-supervised Symmetric Nonnegative Matrix Factorization by Yuheng Jia et al
03-04-2021	Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems by Chuanhong Liu et al
03-02-2021	Two-Stage Framework for Seasonal Time Series Forecasting by Qingyang Xu et al
03-05-2021	Learning to Extend Molecular Scaffolds with Structural Motifs by Krzysztof Maziarz et al
03-03-2021	Deep Recurrent Encoder: A scalable end-to-end network to model brain signals by Omar Chehab et al
03-04-2021	Conservative Optimistic Policy Optimization via Multiple Importance Sampling by Achraf Azize et al
03-03-2021	Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design by Adam Foster et al
03-05-2021	Transfer Learning-Based Model Protection With Secret Key by MaungMaung AprilPyone et al
03-05-2021	Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability by Wenqi Cui et al
03-04-2021	Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis by Aleksandar Vakanski et al
03-03-2021	Fairness and Robustness of Contrasting Explanations by André Artelt et al
03-02-2021	Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints by Brian Brubach et al
03-02-2021	Autobahn: Automorphism-based Graph Neural Nets by Erik Henning Thiede et al
03-05-2021	Discrepancy-Based Active Learning for Domain Adaptation by Antoine de Mathelin et al
03-02-2021	A Spectral Enabled GAN for Time Series Data Generation by Kaleb E. Smith et al
03-02-2021	Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding by Bruno Andreis et al
03-04-2021	PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction by Atharva Kulkarni et al
03-04-2021	WaveGuard: Understanding and Mitigating Audio Adversarial Examples by Shehzeen Hussain et al
03-05-2021	Online Graph Learning under Smoothness Priors by Seyed Saman Saboksayr et al
03-05-2021	Analyzing the Influence of Dataset Composition for Emotion Recognition by A. Sutherland et al
03-03-2021	ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans by Cher Bass et al
03-02-2021	Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook by E. Kurshan et al
03-03-2021	Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG by Arshdeep Sekhon et al
03-02-2021	Learning disentangled representations via product manifold projection by Marco Fumero et al
03-02-2021	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series by Yinjun Wu et al
03-02-2021	Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks by Haifeng Li et al
03-05-2021	MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection by Abir Rahali et al
03-05-2021	Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features by Nicolas Berthier et al
03-02-2021	The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer by Maarten Buyl et al
03-04-2021	Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food by Quin Thames et al
03-04-2021	Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation by Riley J. Hickman et al
03-04-2021	Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration by Han Li et al
03-05-2021	Extending Contrastive Learning to Unsupervised Coreset Selection by Jeongwoo Ju et al
03-05-2021	Second-order step-size tuning of SGD for non-convex optimization by Camille Castera et al
03-02-2021	A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction by Vikas Bajpai et al
03-05-2021	Artificial Neural Networks generated by Low Discrepancy Sequences by Alexander Keller et al
03-05-2021	Structure-Enhanced Meta-Learning For Few-Shot Graph Classification by Shunyu Jiang et al
03-05-2021	Stratified Sampling for Extreme Multi-Label Data by Maximillian Merrillees et al
03-05-2021	Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network by Yonghong Luo et al
03-02-2021	Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots by Wenda Zhao et al
03-02-2021	DM algorithms in healthindustry by Li Wang
03-03-2021	Addressing Action Oscillations through Learning Policy Inertia by Chen Chen et al
03-03-2021	An Iterative Contextualization Algorithm with Second-Order Attention by Diego Maupomé et al
03-05-2021	Precise Multi-Neuron Abstractions for Neural Network Certification by Mark Niklas Müller et al
03-02-2021	Cross-Gradient Aggregation for Decentralized Learning from Non-IID data by Yasaman Esfandiari et al
03-05-2021	Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification by Salvatore D'Oro et al
03-04-2021	Efficient Encrypted Inference on Ensembles of Decision Trees by Kanthi Sarpatwar et al
03-03-2021	Regularizing towards Causal Invariance: Linear Models with Proxies by Michael Oberst et al
03-02-2021	An Exploratory Study of Log Placement Recommendation in an Enterprise System by Jeanderson Cândido et al
03-02-2021	Multi-label Classification via Adaptive Resonance Theory-based Clustering by Naoki Masuyama et al
03-02-2021	Follow Your Nose -- Which Code Smells are Worth Chasing? by Idan Amit et al
03-05-2021	A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features by Supavit Kongwudhikunakorn et al
03-02-2021	Hessian Eigenspectra of More Realistic Nonlinear Models by Zhenyu Liao et al
03-02-2021	Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions by Michael O'Connell et al
03-05-2021	Decomposable Submodular Function Minimization via Maximum Flow by Kyriakos Axiotis et al
03-04-2021	Remember What You Want to Forget: Algorithms for Machine Unlearning by Ayush Sekhari et al
03-04-2021	A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems by Nur Imtiazul Haque et al
03-03-2021	Computation Resource Allocation Solution in Recommender Systems by Xun Yang et al
03-02-2021	Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning by Wonyong Jeong et al
03-03-2021	Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates by Sebastian U. Stich et al
03-04-2021	Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples by Washington Garcia et al
03-02-2021	Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities by Takeshi D. Itoh et al
03-04-2021	Unified Robust Training for Graph NeuralNetworks against Label Noise by Yayong Li et al
03-03-2021	A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data by Narges Pourshahrokhi et al
03-03-2021	Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations by Yu-Lin Tsai et al
03-04-2021	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture by Seung Won Min et al
03-05-2021	Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study by Hadi Jahanshahi et al
03-03-2021	Multi-view Audio and Music Classification by Huy Phan et al
03-04-2021	Learning in Matrix Games can be Arbitrarily Complex by Gabriel P. Andrade et al
03-03-2021	Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction by Youngjoo Kim et al
03-02-2021	Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search by Kartik Hegde et al
03-05-2021	Prediction of financial time series using LSTM and data denoising methods by Qi Tang et al
03-05-2021	Does chronology matter in JIT defect prediction? A Partial Replication Study by Hadi Jahanshahi et al
03-02-2021	On the Memory Mechanism of Tensor-Power Recurrent Models by Hejia Qiu et al
03-04-2021	MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis by Lu Wang et al
03-02-2021	Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method by Ye Xue et al
03-02-2021	DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers by Colin Paterson et al
03-04-2021	Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs by Mohammadreza Nemati et al
03-02-2021	Careful with That! Observation of Human Movements to Estimate Objects Properties by Linda Lastrico et al
03-02-2021	Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function by Haitong Ma et al
03-02-2021	Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization by Salvatore Cuomo et al
03-03-2021	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction by Hongyao Tang et al
03-02-2021	Predicting Driver Fatigue in Automated Driving with Explainability by Feng Zhou et al
03-04-2021	Ensembles of Random SHAPs by Lev V. Utkin et al
03-04-2021	Revisiting Priority kk-Center: Fairness and Outliers by Tanvi Bajpai et al
03-02-2021	Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML by Indrajeet Y. Javeri et al
03-03-2021	Meta-Learning with Variational Bayes by Lucas D. Lingle
03-04-2021	Distribution-free uncertainty quantification for classification under label shift by Aleksandr Podkopaev et al
03-03-2021	Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap by Martina Lippi et al
03-04-2021	CLAIMED, a visual and scalable component library for Trusted AI by Romeo Kienzler et al
03-03-2021	Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee by Liang Hu et al
03-03-2021	Multi-task Learning by Leveraging the Semantic Information by Fan Zhou et al
03-02-2021	Minimax Model Learning by Cameron Voloshin et al
03-02-2021	Adversarial Environment Generation for Learning to Navigate the Web by Izzeddin Gur et al
03-04-2021	Correcting Momentum with Second-order Information by Hoang Tran et al
03-02-2021	Parametric Complexity Bounds for Approximating PDEs with Neural Networks by Tanya Marwah et al
03-02-2021	Differentiable Neural Architecture Learning for Efficient Neural Network Design by Qingbei Guo et al
03-02-2021	Parsimonious Inference by Jed A. Duersch et al
03-04-2021	Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data by Mohamed Aziz Bhouri et al
03-03-2021	Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks by Fabio Bonassi et al
03-03-2021	Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems by Stavros Deligiannidis et al
03-02-2021	Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control by Jacopo Panerati et al
03-02-2021	Variance Reduction in Training Forecasting Models with Subgroup Sampling by Yucheng Lu et al
03-02-2021	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization by Marius Arvinte et al
03-02-2021	Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making by Alexandra Zytek et al