2021.1.2 Learning papers

01-27-2021	Bottleneck Transformers for Visual Recognition by Aravind Srinivas et al
01-28-2021	Website Fingerprinting on Early QUIC Traffic by Pengwei Zhan et al
01-26-2021	Muppet: Massive Multi-task Representations with Pre-Finetuning by Armen Aghajanyan et al
01-28-2021	On the Origin of Implicit Regularization in Stochastic Gradient Descent by Samuel L. Smith et al
01-28-2021	Increasing the Confidence of Deep Neural Networks by Coverage Analysis by Giulio Rossolini et al
01-26-2021	LDLE: Low Distortion Local Eigenmaps by Dhruv Kohli et al
01-26-2021	Safe Multi-Agent Reinforcement Learning via Shielding by Ingy Elsayed-Aly et al
01-26-2021	The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors by William H. Guss et al
01-26-2021	Summarising Historical Text in Modern Languages by Xutan Peng et al
01-27-2021	CNN with large memory layers by Rasul Karimov et al
01-28-2021	Deep learning via LSTM models for COVID-19 infection forecasting in India by Rohitash Chandra et al
01-27-2021	Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery by J. F. Ciprián-Sánchez et al
01-28-2021	PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation by Sindhu Hegde et al
01-28-2021	A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data by Michal Kazmierski et al
01-26-2021	Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing by Daniela A. Zaidenberg et al
01-26-2021	Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants by Samuel E. Otto et al
01-27-2021	Information contraction in noisy binary neural networks and its implications by Chuteng Zhou et al
01-27-2021	Chronological age estimation of lateral cephalometric radiographs with deep learning by Ningtao Liu
01-27-2021	SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation by Chen Wang et al
01-28-2021	POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition by Stefania Fresca et al
01-27-2021	A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory by R. Abbasi et al
01-27-2021	Predicting Participation in Cancer Screening Programs with Machine Learning by Donghyun Kim
01-28-2021	The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training by Romann M. Weber
01-28-2021	Self-Attention Meta-Learner for Continual Learning by Ghada Sokar et al
01-28-2021	BERTa\u: Ita\u BERT for digital customer service by Paulo Finardi et al
01-28-2021	Self-supervised Cross-silo Federated Neural Architecture Search by Xinle Liang et al
01-26-2021	Introducing and assessing the explainable AI (XAI)method: SIDU by Satya M. Muddamsetty et al
01-26-2021	Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems by Jelena Diakonikolas et al
01-26-2021	Better sampling in explanation methods can prevent dieselgate-like deception by Domen Vreš et al
01-26-2021	The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards by Simon Meyer Lauritsen et al
01-28-2021	tf.data: A Machine Learning Data Processing Framework by Derek G. Murray et al
01-27-2021	Learning Non-linear Wavelet Transformation via Normalizing Flow by Shuo-Hui Li
01-26-2021	Graph Neural Network for Traffic Forecasting: A Survey by Weiwei Jiang et al
01-28-2021	Generalising via Meta-Examples for Continual Learning in the Wild by Alessia Bertugli et al
01-28-2021	DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting by Hrituraj Singh et al
01-27-2021	Meta Adversarial Training by Jan Hendrik Metzen et al
01-27-2021	Automatic Detection of Occulted Hard X-ray Flares Using Deep-Learning Methods by Shin-nosuke Ishikawa et al
01-27-2021	K\ahler Geometry of Quiver Varieties and Machine Learning by George Jeffreys et al
01-28-2021	Neural Particle Image Velocimetry by Nikolay Stulov et al
01-28-2021	AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models by Diego Rojo et al
01-27-2021	Reciprocal Landmark Detection and Tracking with Extremely Few Annotations by Jianzhe Lin et al
01-27-2021	Dopamine: Differentially Private Federated Learning on Medical Data by Mohammad Malekzadeh et al
01-26-2021	On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs by Adam Byerly et al
01-26-2021	Overestimation learning with guarantees by Adrien Gauffriau et al
01-27-2021	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation by Jwala Dhamala et al
01-28-2021	Approximation with Tensor Networks. Part III: Multivariate Approximation by Mazen Ali et al
01-28-2021	Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling by David Harbecke
01-26-2021	New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition by Shuyu Dong et al
01-27-2021	Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation by T. Kadeethum et al
01-27-2021	Language Modelling as a Multi-Task Problem by Lucas Weber et al
01-27-2021	A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting by Eric Cosatto et al
01-26-2021	Few-Shot Semantic Parsing for New Predicates by Zhuang Li et al
01-28-2021	Automatic design of novel potential 3CLpropro and PLpropro inhibitors by Timothy Atkinson et al
01-27-2021	Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers by Alvaro Gomariz et al
01-26-2021	A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers by Mahsa Shafaei et al
01-28-2021	Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems by Navneet Garg et al
01-28-2021	Embedding Symbolic Temporal Knowledge into Deep Sequential Models by Yaqi Xie et al
01-26-2021	Developing emotion recognition for video conference software to support people with autism by Marc Franzen et al
01-26-2021	Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem by Kushal Chakrabarti et al
01-26-2021	Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning by Tajuddin Manhar Mohammed et al
01-28-2021	LOCCNet: a machine learning framework for distributed quantum information processing by Xuanqiang Zhao et al
01-28-2021	Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network by B. R. Manoj et al
01-26-2021	Uncertainty aware and explainable diagnosis of retinal disease by Amitojdeep Singh et al
01-28-2021	Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains by Rachit Agarwal et al
01-26-2021	Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders by Rasika Karkare et al
01-28-2021	Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization by Jelena Diakonikolas et al
01-28-2021	From Geometry to Topology: Inverse Theorems for Distributed Persistence by Elchanan Solomon et al
01-27-2021	Effects of Image Size on Deep Learning by Olivier Rukundo
01-29-2021	Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning by Matthew L. Olson et al
01-27-2021	Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression by Yufei Cui et al
01-27-2021	Faster Kernel Interpolation for Gaussian Processes by Mohit Yadav et al
01-29-2021	Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis by Hong Xing et al
01-28-2021	Copula-based conformal prediction for Multi-Target Regression by Soundouss Messoudi et al
01-26-2021	Revisiting Contrastive Learning for Few-Shot Classification by Orchid Majumder et al
01-26-2021	CDSM -- Casual Inference using Deep Bayesian Dynamic Survival Models by Jie Zhu et al
01-27-2021	Reproducing kernel Hilbert C*-module and kernel mean embeddings by Yuka Hashimoto et al
01-27-2021	Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond by Risheng Liu et al
01-26-2021	Open-domain Topic Identification of Out-of-domain Utterances using Wikipedia by A. Augustin et al
01-26-2021	The fundamental limits of sparse linear regression with sublinear sparsity by Lan V. Truong
01-27-2021	KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding by Hyunjae Lee et al
01-27-2021	Towards Robustness to Label Noise in Text Classification via Noise Modeling by Siddhant Garg et al
01-27-2021	Adversarial Attacks on Uncertainty Enable Active Learning for Neural Network Potentials by Daniel Schwalbe-Koda et al
01-26-2021	Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All? by Martin Aumüller et al
01-29-2021	Beyond traditional assumptions in fair machine learning by Niki Kilbertus
01-26-2021	Leveraging 3D Information in Unsupervised Brain MRI Segmentation by Benjamin Lambert et al
01-27-2021	ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification by Manoj Kumar et al
01-26-2021	A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction by Rupal Agravat et al
01-26-2021	Dynamic prediction of time to event with survival curves by Jie Zhu et al
01-26-2021	The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs by Xinwei Zhao et al
01-27-2021	List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier by Mahdi Soleymani et al
01-26-2021	Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation by Junjie Li et al
01-29-2021	Challenges for Using Impact Regularizers to Avoid Negative Side Effects by David Lindner et al
01-26-2021	Revisiting Locally Supervised Learning: an Alternative to End-to-end Training by Yulin Wang et al
01-28-2021	Acting in Delayed Environments with Non-Stationary Markov Policies by Esther Derman et al
01-26-2021	Online Body Schema Adaptation through Cost-Sensitive Active Learning by Gonçalo Cunha et al
01-29-2021	Between steps: Intermediate relaxations between big-M and convex hull formulations by Jan Kronqvist et al
01-27-2021	G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification by Sayan Ghosal et al
01-26-2021	Property Inference From Poisoning by Melissa Chase et al
01-27-2021	On Statistical Bias In Active Learning: How and When To Fix It by Sebastian Farquhar et al
01-27-2021	FedH2L: Federated Learning with Model and Statistical Heterogeneity by Yiying Li et al
01-27-2021	Echo State Network for two-dimensional turbulent moist Rayleigh-B\enard convection by Florian Heyder et al

01-26-2021	Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison by Lukas Brunke et al
01-26-2021	Accuracy and Privacy Evaluations of Collaborative Data Analysis by Akira Imakura et al
01-27-2021	Learning Abstract Representations through Lossy Compression of Multi-Modal Signals by Charles Wilmot et al
01-27-2021	An explainable Transformer-based deep learning model for the prediction of incident heart failure by Shishir Rao et al
01-26-2021	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning by Haibo Yang et al
01-26-2021	ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease by Xiaowei Xu et al
01-27-2021	A Hybrid 2-stage Neural Optimization for Pareto Front Extraction by Gurpreet Singh et al
01-27-2021	Combat Data Shift in Few-shot Learning with Knowledge Graph by Yongchun zhu et al
01-27-2021	Improving Neural Network Robustness through Neighborhood Preserving Layers by Bingyuan Liu et al
01-27-2021	Learning MatchingMatching Representations for Individualized Organ Transplantation Allocation by Can Xu et al
01-28-2021	An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms by Salman Seyedi et al
01-27-2021	Supervised Tree-Wasserstein Distance by Yuki Takezawa et al
01-26-2021	Semi-supervised source localization in reverberant environments with deep generative modeling by Michael J. Bianco et al
01-28-2021	A New Approach to Capacity Scaling Augmented With Unreliable Machine Learning Predictions by Daan Rutten et al
01-28-2021	Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning by Gil I. Shamir et al
01-26-2021	Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization by Aaron Defazio et al
01-26-2021	Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media by Sudhanshu Mishra et al
01-28-2021	Development of a Vertex Finding Algorithm using Recurrent Neural Network by Kiichi Goto et al
01-29-2021	Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks by Cong Fang et al
01-27-2021	On the Interpretability of Deep Learning Based Models for Knowledge Tracing by Xinyi Ding et al
01-27-2021	Partition of unity networks: deep hp-approximation by Kookjin Lee et al
01-26-2021	Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors by Su Yeon Chang et al
01-26-2021	Transparent Contribution Evaluation for Secure Federated Learning on Blockchain by Shuaicheng Ma et al
01-27-2021	Efficient Graph Deep Learning in TensorFlow with tf_geometric by Jun Hu et al
01-26-2021	Similarity of Classification Tasks by Cuong Nguyen et al
01-28-2021	Learning Structural Edits via Incremental Tree Transformations by Ziyu Yao et al
01-26-2021	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems by Utku Ozbulak et al
01-27-2021	Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation by Francesco Picetti et al
01-27-2021	Hadamard Powers and the Identification of Mixtures of Products by Spencer L. Gordon et al
01-29-2021	AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting by Yi-Ju Lu et al
01-26-2021	Data sharing games by Víctor Gallego et al
01-28-2021	Reliable COVID-19 Detection Using Chest X-ray Images by Aysen Degerli et al
01-28-2021	A Survey of Complex-Valued Neural Networks by Joshua Bassey et al
01-26-2021	Medical Segment Coloring of Clinical Notes by Maha Alkhairy
01-26-2021	Generalized Doubly Reparameterized Gradient Estimators by Matthias Bauer et al
01-28-2021	BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data by Demetres Kostas et al
01-28-2021	Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application by Fabio Amadio et al
01-28-2021	Federated Multi-Armed Bandits by Chengshuai Shi et al
01-26-2021	Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification by Pablo del Moral et al
01-27-2021	Decision Machines: Interpreting Decision Tree as a Model Combination Method by Jinxiong Zhang
01-28-2021	Choice modelling in the age of machine learning by S. Van Cranenburgh et al
01-27-2021	Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection by Ece Calikus et al
01-27-2021	Interpolating Classifiers Make Few Mistakes by Tengyuan Liang et al
01-27-2021	A Note on the Representation Power of GHHs by Zhou Lu
01-27-2021	State estimation with limited sensors -- A deep learning based approach by Yash Kumar et al
01-27-2021	An Overview of Machine Learning Techniques for Radiowave Propagation Modeling by Aristeidis Seretis et al
01-26-2021	GymD2D: A Device-to-Device Underlay Cellular Offload Evaluation Platform by David Cotton et al
01-29-2021	Optimal strategies for reject option classifiers by V. Franc et al
01-28-2021	Adversarial Machine Learning Attacks on Condition-Based Maintenance Capabilities by Hamidreza Habibollahi Najaf Abadi
01-26-2021	Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks by Greg Olmschenk et al
01-27-2021	Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines by Sabtain Ahmad et al
01-29-2021	Open World Compositional Zero-Shot Learning by Massimiliano Mancini et al
01-27-2021	On the mapping between Hopfield networks and Restricted Boltzmann Machines by Matthew Smart et al
01-29-2021	Predicting Nanorobot Shapes via Generative Models by Emma Benjaminson et al
01-29-2021	Leveraging domain labels for object detection from UAVs by Benjamin Kiefer et al
01-26-2021	Adversarial Vulnerability of Active Transfer Learning by Nicolas M. Müller et al
01-29-2021	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency by Samarth Mishra et al
01-26-2021	Short-term prediction of Time Series based on bounding techniques by Pedro Cadahía et al
01-26-2021	Asymptotic Supervised Predictive Classifiers under Partition Exchangeability by Ali Amiryousefi
01-27-2021	Improving Graph Representation Learning by Contrastive Regularization by Kaili Ma et al
01-26-2021	SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups by Hyun-Suk Lee et al
01-27-2021	Robust Android Malware Detection System against Adversarial Attacks using Q-Learning by Hemant Rathore et al
01-29-2021	Transition based Graph Decoder for Neural Machine Translation by Leshem Choshen et al
01-27-2021	OffCon33: What is state of the art anyway? by Philip J. Ball et al
01-26-2021	Unsupervised clustering of series using dynamic programming and neural processes by Karthigan Sinnathamby et al
01-28-2021	Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning by B. S. González et al
01-29-2021	Learning User Preferences in Non-Stationary Environments by Wasim Huleihel et al
01-29-2021	Covariance Prediction via Convex Optimization by Shane Barratt et al
01-27-2021	Low-skilled Occupations Face the Highest Re-skilling Pressure by Di Tong et al
01-29-2021	General-Purpose OCR Paragraph Identification by Graph Convolution Networks by Renshen Wang et al
01-26-2021	Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms by Alicia Curth et al
01-29-2021	Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation by Yu-Jen Ma et al
01-28-2021	PSpan:Mining Frequent Subnets of Petri Nets by Ruqian Lu et al
01-27-2021	Detecting discriminatory risk through data annotation based on Bayesian inferences by Elena Beretta et al
01-27-2021	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection by Yuxiang Ren et al
01-29-2021	Polynomial Trajectory Predictions for Improved Learning Performance by Ido Freeman et al
01-27-2021	One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction by Xiang-Rong Sheng et al
01-29-2021	Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust by Thomas Chaffre et al
01-27-2021	Tropical Support Vector Machines: Evaluations and Extension to Function Spaces by Ruriko Yoshida et al
01-27-2021	Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators by Hamzah Abdel-Aziz et al
01-28-2021	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting by Kashif Rasul et al
01-29-2021	Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs by Quan Feng et al
01-26-2021	Hyper-optimization with Gaussian Process and Differential Evolution Algorithm by Jakub Klus et al
01-26-2021	Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data by Wanqi Hu et al
01-27-2021	Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training by Sebastian Pokutta et al
01-29-2021	Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP by Zihan Zhang et al
01-29-2021	BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions by Yifan Wu et al
01-26-2021	Can Offline Testing of Deep Neural Networks Replace Their Online Testing? by Fitash Ul Haq et al
01-29-2021	Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques by Bart H. L. Overes et al
01-26-2021	A fast algorithm for complex discord searches in time series: HOT SAX Time by Paolo Avogadro et al
01-26-2021	Average Localised Proximity: a new data descriptor with good default one-class classification performance by Oliver Urs Lenz et al
01-29-2021	Low Rank Forecasting by Shane Barratt et al
01-28-2021	Adaptive Decision Forest: An Incremental Machine Learning Framework by Md Geaur Rahman et al
01-27-2021	Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting by Fan-Keng Sun et al
01-29-2021	Subgraph nomination: Query by Example Subgraph Retrieval in Networks by Al-Fahad M. Al-Qadhi et al
01-27-2021	Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization by Kang Wei et al
01-26-2021	Incremental Search Space Construction for Machine Learning Pipeline Synthesis by Marc-André Zöller et al
01-26-2021	An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems by Ahmed M. Abdelmoniem et al
01-27-2021	AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications by Sicong Liu et al
01-26-2021	Efficient video integrity analysis through container characterization by Pengpeng Yang et al
01-28-2021	Interpreting and Unifying Graph Neural Networks with An Optimization Framework by Meiqi Zhu et al
01-28-2021	Gaussian Process Latent Class Choice Models by Georges Sfeir et al
01-29-2021	State of the Art: Content-based and Hybrid Phishing Detection by F. Castaño et al
01-29-2021	An adaptive artificial neural network-based generative design method for layout designs by Chao Qian et al
01-26-2021	Variational Information Bottleneck Model for Accurate Indoor Position Recognition by Weizhu Qian et al
01-29-2021	No-Regret Caching via Online Mirror Descent by Tareq Si Salem et al
01-28-2021	Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection by Jiajun Liang et al
01-27-2021	Meta-learning on Spectral Images of Electroencephalogram of Schizophenics by Maritza Tynes et al
01-29-2021	Reservoir Computing with Thin-film Ferromagnetic Devices by Matthew Dale et al
01-26-2021	FDApy: a Python package for functional data by Steven Golovkine
01-28-2021	Machine learning for cloud resources management -- An overview by V. N. Tsakalidou et al
01-28-2021	Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities by Vacharapat Mettanant et al
01-27-2021	Discovering dependencies in complex physical systems using Neural Networks by Sachin Kasture
01-29-2021	Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification by Vlad Landa et al
01-29-2021	DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network by Thomas Johnson et al
01-26-2021	Benchmarking Invertible Architectures on Inverse Problems by Jakob Kruse et al
01-29-2021	The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection by Mehran H. Z. Bazargani et al
01-29-2021	RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation by Cheng Hsu et al
01-28-2021	Adversarial Learning with Cost-Sensitive Classes by Haojing Shen et al
01-28-2021	On the capacity of deep generative networks for approximating distributions by Yunfei Yang et al
01-29-2021	Total Stability of SVMs and Localized SVMs by Hannes Köhler et al
01-28-2021	Revisiting Non-Specific Syndromic Surveillance by Moritz Kulessa et al
01-28-2021	Differential Privacy Meets Federated Learning under Communication Constraints by Nima Mohammadi et al
01-28-2021	Optimal Approximation Rates and Metric Entropy of ReLUkk and Cosine Networks by Jonathan W. Siegel et al
01-28-2021	Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches by Cristofer Quiroz et al
01-26-2021	Community Detection in the Stochastic Block Model by Mixed Integer Programming by Breno Serrano et al
01-29-2021	Out-of-Town Recommendation with Travel Intention Modeling by Haoran Xin et al