2021.1.18 Learning papers

01-13-2021	COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction by Anuroop Sriram et al
01-12-2021	Convolutional Neural Nets: Foundations, Computations, and New Applications by Shengli Jiang et al
01-12-2021	Robustness Gym: Unifying the NLP Evaluation Landscape by Karan Goel et al
01-13-2021	Random Fourier Feature Based Deep Learning for Wireless Communications by Rangeet Mitra et al
01-13-2021	Asymmetric self-play for automatic goal discovery in robotic manipulation by OpenAI OpenAI et al
01-13-2021	Big Self-Supervised Models Advance Medical Image Classification by Shekoofeh Azizi et al
01-12-2021	Benchmarking Simulation-Based Inference by Jan-Matthis Lueckmann et al
01-14-2021	Topological Deep Learning by Ephy R. Love et al
01-13-2021	Fast convolutional neural networks on FPGAs with hls4ml by Thea Aarrestad et al
01-12-2021	Interpretable discovery of new semiconductors with machine learning by Hitarth Choubisa et al
01-13-2021	EEC: Learning to Encode and Regenerate Images for Continual Learning by Ali Ayub et al
01-13-2021	Whispered and Lombard Neural Speech Synthesis by Qiong Hu et al
01-13-2021	Machine-learning enhanced dark soliton detection in Bose-Einstein condensates by Shangjie Guo et al
01-14-2021	Non-intrusive surrogate modeling for parametrized time-dependent PDEs using convolutional autoencoders by Stefanos Nikolopoulos et al
01-13-2021	AutoDS: Towards Human-Centered Automation of Data Science by Dakuo Wang et al
01-13-2021	MRI Images, Brain Lesions and Deep Learning by Darwin Castillo et al
01-14-2021	Neural networks behave as hash encoders: An empirical study by Fengxiang He et al
01-15-2021	Counterfactual Generative Networks by Axel Sauer et al
01-14-2021	Evaluating the Robustness of Collaborative Agents by Paul Knott et al
01-12-2021	Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience by Tejumade Afonja et al
01-13-2021	Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans by Xin He et al
01-14-2021	No-go Theorem for Acceleration in the Hyperbolic Plane by Linus Hamilton et al
01-12-2021	Hyperbolic Deep Neural Networks: A Survey by Wei Peng et al
01-13-2021	Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning by Paul Garnier et al
01-15-2021	Affordance-based Reinforcement Learning for Urban Driving by Tanmay Agarwal et al
01-14-2021	DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation by Alexandre Rame et al
01-12-2021	Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows by Doris Xin et al
01-14-2021	Persistent Anti-Muslim Bias in Large Language Models by Abubakar Abid et al
01-13-2021	Explainability of vision-based autonomous driving systems: Review and challenges by Éloi Zablocki et al
01-14-2021	Analysis of hidden feedback loops in continuous machine learning systems by Anton Khritankov
01-14-2021	A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery by Carson Schubert et al
01-13-2021	Machine-Assisted Script Curation by Manuel R. Ciosici et al
01-12-2021	Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios by Lisa-Marie Vortmann et al
01-14-2021	Understanding the Role of Scene Graphs in Visual Question Answering by Vinay Damodaran et al
01-13-2021	Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making by Han Liu et al
01-12-2021	TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation by Guangneng Hu et al
01-12-2021	Discrete Knowledge Graph Embedding based on Discrete Optimization by Yunqi Li et al
01-14-2021	Structured Prediction as Translation between Augmented Natural Languages by Giovanni Paolini et al
01-13-2021	Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent by Lampros Flokas et al
01-13-2021	Image deblurring based on lightweight multi-information fusion network by Yanni Zhang et al
01-13-2021	Experimental Evaluation of Deep Learning models for Marathi Text Classification by Atharva Kulkarni et al
01-13-2021	Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations by Tian Xie et al
01-14-2021	Signal Processing on Higher-Order Networks: Livin on the Edge ... and Beyond by Michael T. Schaub et al
01-13-2021	Privacy Analysis in Language Models via Training Data Leakage Report by Huseyin A. Inan et al
01-12-2021	Digital Elevation Model enhancement using Deep Learning by Casey Handmer
01-12-2021	Reproducing Activation Function for Deep Learning by Senwei Liang et al
01-14-2021	DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows by Valentin Wolf et al
01-13-2021	Neural Sequence-to-grid Module for Learning Symbolic Rules by Segwang Kim et al
01-13-2021	MC-LSTM: Mass-Conserving LSTM by Pieter-Jan Hoedt et al
01-14-2021	FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets by Abu Quwsar Ohi et al
01-14-2021	Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments by Ahmed Attia et al
01-13-2021	Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning by Renke Huang et al
01-14-2021	Optimal network online change point localisation by Yi Yu et al
01-13-2021	Designing Machine Learning Toolboxes: Concepts, Principles and Patterns by Franz J. Király et al
01-14-2021	Malicious Code Detection: Run Trace Output Analysis by LSTM by Cengiz Acarturk et al
01-12-2021	Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service by Majid Raeis et al
01-12-2021	MLGO: a Machine Learning Guided Compiler Optimizations Framework by Mircea Trofin et al
01-12-2021	Linear Representation Meta-Reinforcement Learning for Instant Adaptation by Matt Peng et al
01-12-2021	Small Input Noise is Enough to Defend Against Query-based Black-box Attacks by Junyoung Byun et al
01-14-2021	Better Together -- An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems by Renato Stoffalette João et al
01-13-2021	Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning by Rishabh Agarwal et al
01-13-2021	Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features by Tomer Czyzewski et al
01-13-2021	Unlearnable Examples: Making Personal Data Unexploitable by Hanxun Huang et al
01-14-2021	On Informative Tweet Identification For Tracking Mass Events by Renato Stoffalette João
01-13-2021	Federated Learning: Opportunities and Challenges by Priyanka Mary Mammen
01-15-2021	STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations by Suryanarayana Maddu et al
01-13-2021	Piano Skills Assessment by Paritosh Parmar et al
01-12-2021	Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks by Thulitha Senevirathna et al
01-12-2021	Using uncertainty estimation to reduce false positives in liver lesion detection by Ishaan Bhat et al
01-14-2021	Generating coherent spontaneous speech and gesture from text by Simon Alexanderson et al
01-14-2021	On the Temporality of Priors in Entity Linking by Renato Stoffalette Joao
01-13-2021	Towards Interpretable Ensemble Learning for Image-based Malware Detection by Yuzhou Lin et al
01-12-2021	On the Calibration and Uncertainty of Neural Learning to Rank Models by Gustavo Penha et al
01-13-2021	Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible by Melanie F. Pradier et al
01-12-2021	Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events by Davide Piras et al
01-14-2021	Responsible AI Challenges in End-to-end Machine Learning by Steven Euijong Whang et al
01-12-2021	Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information by Lasitha Vidyaratne et al
01-14-2021	ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information by Ipek Baris et al
01-13-2021	End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN by Manav Kaushik et al
01-12-2021	Bayesian neural networks for weak solution of PDEs with uncertainty quantification by Xiaoxuan Zhang et al
01-12-2021	Personalized Federated Deep Learning for Pain Estimation From Face Images by Ognjen Rudovic et al
01-12-2021	Context Matters: Self-Attention for Sign Language Recognition by Fares Ben Slimane et al
01-15-2021	Learning Invariant Representation for Continual Learning by Ghada Sokar et al
01-13-2021	Anomaly Detection Support Using Process Classification by Sebastian Eresheim et al
01-15-2021	The Geometry of Deep Generative Image Models and its Applications by Binxu Wang et al
01-15-2021	Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge by Violetta Shevchenko et al
01-13-2021	X-CAL: Explicit Calibration for Survival Analysis by Mark Goldstein et al
01-14-2021	Convex Smoothed Autoencoder-Optimal Transport model by Aratrika Mustafi
01-14-2021	Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration by Congliang Chen et al
01-13-2021	Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand by Mehrshad Zandigohar et al
01-12-2021	Explicit homography estimation improves contrastive self-supervised learning by David Torpey et al
01-13-2021	Self-Supervised Vessel Enhancement Using Flow-Based Consistencies by Rohit Jena et al
01-15-2021	Hybrid Quantum-Classical Graph Convolutional Network by Samuel Yen-Chi Chen et al
01-12-2021	Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices by Gianmarco Cerutti et al
01-13-2021	Optimal Clustering in Anisotropic Gaussian Mixture Models by Xin Chen et al
01-14-2021	Robusta: Robust AutoML for Feature Selection via Reinforcement Learning by Xiaoyang Wang et al
01-14-2021	Label Contrastive Coding based Graph Neural Network for Graph Classification by Yuxiang Ren et al
01-13-2021	Analysis of E-commerce Ranking Signals via Signal Temporal Logic by Tommaso Dreossi et al
01-15-2021	Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications by Gaurav Kumar Nayak et al
01-14-2021	Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model by Qizhou Wang et al
01-15-2021	Harmonization and the Worst Scanner Syndrome by Daniel Moyer et al
01-12-2021	MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN by Korneel van den Broek
01-13-2021	Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control by Armin Lederer et al
01-14-2021	A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines by Leandro Aparecido Passos et al
01-12-2021	Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization by Yuyang Wang et al
01-12-2021	Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records by Yiqin Yu et al
01-14-2021	Entangled Kernels -- Beyond Separability by Riikka Huusari et al
01-13-2021	NetCut: Real-Time DNN Inference Using Layer Removal by Mehrshad Zandigohar et al
01-12-2021	PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D by Kseniya Cherenkova et al

01-13-2021	Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks by Max W. Y. Lam et al
01-13-2021	Denoising Score Matching with Random Fourier Features by Tsimboy Olga et al
01-14-2021	DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet by Yash Narayan
01-13-2021	Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification by Soumya Chatterjee et al
01-13-2021	Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis by Jeremy Zucker et al
01-13-2021	Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks by Hang Yin et al
01-15-2021	Video Summarization Using Deep Neural Networks: A Survey by Evlampios Apostolidis et al
01-12-2021	Convolutional Neural Network Simplification with Progressive Retraining by D. Osaku et al
01-14-2021	Feature reduction for machine learning on molecular features: The GeneScore by Alexander Denker et al
01-13-2021	CobBO: Coordinate Backoff Bayesian Optimization by Jian Tan et al
01-13-2021	Should Ensemble Members Be Calibrated? by Xixin Wu et al
01-12-2021	Toward Effective Automated Content Analysis via Crowdsourcing by Jiele Wu et al
01-13-2021	DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees by Jasjeet Dhaliwal et al
01-13-2021	Overlapping Community Detection in Temporal Text Networks by Shuhan Yan et al
01-15-2021	Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks by Franklin Cardeñoso Fernandez et al
01-15-2021	Dynamic Normalization by Chuan Liu et al
01-14-2021	A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data by Sajila D. Wickramaratne et al
01-15-2021	On the statistical complexity of quantum circuits by Kaifeng Bu et al
01-14-2021	Auto-weighted Robust Federated Learning with Corrupted Data Sources by Shenghui Li et al
01-12-2021	Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction by Jafar Norolahi et al
01-14-2021	Optimal Energy Shaping via Neural Approximators by Stefano Massaroli et al
01-14-2021	Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias by Axel Laborieux et al
01-12-2021	Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem by Michael Allen et al
01-13-2021	Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems by Junya Ikemoto et al
01-14-2021	Continual Learning of Knowledge Graph Embeddings by Angel Daruna et al
01-12-2021	Seed Stocking Via Multi-Task Learning by Yunhe Feng et al
01-15-2021	APEX-Net: Automatic Plot Extractor Network by Aalok Gangopadhyay et al
01-15-2021	Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks by Patrick Brandao et al
01-15-2021	LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning by Yuhuai Wu et al
01-15-2021	Predictive Optimization with Zero-Shot Domain Adaptation by Tomoya Sakai et al
01-15-2021	Probabilistic Inference for Learning from Untrusted Sources by Duc Thien Nguyen et al
01-15-2021	Empirical Evaluation of Supervision Signals for Style Transfer Models by Yevgeniy Puzikov et al
01-12-2021	Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals by A. Danaee et al
01-14-2021	Time-Based CAN Intrusion Detection Benchmark by Deborah H. Blevins et al
01-12-2021	AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text by Zhi Hong et al
01-12-2021	Learning Efficient Representations for Keyword Spotting with Triplet Loss by Roman Vygon et al
01-12-2021	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation by Chen Ma et al
01-12-2021	Knowledge-Enhanced Top-K Recommendation in Poincar\e Ball by Chen Ma et al
01-14-2021	KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization by Jing Jin et al
01-14-2021	How Shift Equivariance Impacts Metric Learning for Instance Segmentation by Josef Lorenz Rumberger et al
01-14-2021	Unveiling the role of plasticity rules in reservoir computing by Guillermo B. Morales et al
01-15-2021	Randomized Ensembled Double Q-Learning: Learning Fast Without a Model by Xinyue Chen et al
01-13-2021	Multiscale regression on unknown manifolds by Wenjing Liao et al
01-14-2021	4D Attention-based Neural Network for EEG Emotion Recognition by Guowen Xiao et al
01-15-2021	EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs by Daniel Obraczka et al
01-14-2021	Algorithmic Monoculture and Social Welfare by Jon Kleinberg et al
01-14-2021	Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning by Kennedy Edemacu et al
01-13-2021	Quantitative Rates and Fundamental Obstructions to Non-Euclidean Universal Approximation with Deep Narrow Feed-Forward Networks by Anastasis Kratsios et al
01-14-2021	A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS by Sajila D. Wickramaratne et al
01-12-2021	Design of borehole resistivity measurement acquisition systems using deep learning by M. Shahriari et al
01-14-2021	A Nature-Inspired Feature Selection Approach based on Hypercomplex Information by Gustavo H. de Rosa et al
01-12-2021	Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning by Quirin Göttl et al
01-12-2021	Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning by Li Wang et al
01-15-2021	Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper by Jasmin Bogatinovski et al
01-14-2021	Joint Dimensionality Reduction for Separable Embedding Estimation by Yanjun Li et al
01-12-2021	Measuring Recommender System Effects with Simulated Users by Sirui Yao et al
01-12-2021	Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks by Karina Vasquez et al
01-14-2021	BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network by Zhixian Chen et al
01-13-2021	On the quantization of recurrent neural networks by Jian Li et al
01-12-2021	A Recurrent Neural Network Approach to Roll Estimation for Needle Steering by Maxwell Emerson et al
01-13-2021	Multi-Source Anomaly Detection in Distributed IT Systems by Jasmin Bogatinovski et al
01-13-2021	Behavioral Model Inference of Black-box Software using Deep Neural Networks by Mohammad Jafar Mashhadi et al
01-15-2021	Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks by Yanbang Wang et al
01-12-2021	Towards Energy Efficient Federated Learning over 5G+ Mobile Devices by Dian Shi et al
01-13-2021	On Misspecification in Prediction Problems and Robustness via Improper Learning by John Duchi et al
01-14-2021	Mining Knowledge Graphs From Incident Reports by Manish Shetty et al
01-14-2021	A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools by Oleg Bezrukavnikov et al
01-12-2021	A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition by Govind Narasimman et al
01-12-2021	Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search by Ziyang Liu et al
01-12-2021	Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators by J. -P. Schulze et al
01-14-2021	Hostility Detection and Covid-19 Fake News Detection in Social Media by Ayush Gupta et al
01-13-2021	Temporal Knowledge Graph Forecasting with Neural ODE by Zifeng Ding et al
01-15-2021	A General Framework for Hypercomplex-valued Extreme Learning Machines by Guilherme Vieira et al
01-15-2021	Learning to Sample from Censored Markov Random Fields by Ankur Moitra et al
01-15-2021	Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds by Bogdan Georgiev et al
01-12-2021	Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps by Yujin Huang et al
01-12-2021	DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN by Alsharif Abuadbba et al
01-15-2021	Efficient Semi-Implicit Variational Inference by Vincent Moens et al
01-15-2021	Local Search Algorithms for Rank-Constrained Convex Optimization by Kyriakos Axiotis et al
01-13-2021	A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles by Marcelo Bacher et al
01-15-2021	A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function by Tiago A. E. Ferreira et al
01-13-2021	C3DRecC3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era by Jialiang Han et al
01-15-2021	Deciding What to Learn: A Rate-Distortion Approach by Dilip Arumugam et al
01-12-2021	Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems by Roland Pulch et al
01-12-2021	Forecasting glycaemia in Type 1 Diabetes Mellitus with univariate ML algorithms by Ignacio Rodriguez
01-15-2021	A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks by Hsing-Chung Chen et al
01-15-2021	Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing by Haoyang Bi et al
01-12-2021	Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork by Chang-Jen Wang et al
01-14-2021	Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning by Tongyu Zong et al
01-15-2021	Towards interpreting ML-based automated malware detection models: a survey by Yuzhou Lin et al
01-13-2021	Learning with Gradient Descent and Weakly Convex Losses by Dominic Richards et al
01-12-2021	Automated Respiratory Event Detection Using Deep Neural Networks by Thijs E Nassi et al
01-14-2021	O2O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection by Leandro Aparecido Passos et al
01-12-2021	From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable by Angeliki Giannou et al
01-14-2021	Preserving Privacy in Personalized Models for Distributed Mobile Services by Akanksha Atrey et al
01-12-2021	A Unified Framework for Online Trip Destination Prediction by Victor Eberstein et al
01-12-2021	Learning Intuitive Physics with Multimodal Generative Models by Sahand Rezaei-Shoshtari et al
01-14-2021	Dynamic DNN Decomposition for Lossless Synergistic Inference by Beibei Zhang et al
01-14-2021	Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks by Yige Li et al
01-13-2021	Sequential IoT Data Augmentation using Generative Adversarial Networks by Maximilian Ernst Tschuchnig et al
01-12-2021	Type4Py: Deep Similarity Learning-Based Type Inference for Python by Amir M. Mir et al
01-12-2021	Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration by Ananda Samajdar et al
01-14-2021	Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability by Sylvia Herbert et al
01-12-2021	Graph Filtering for Improving the Accuracy of Classification problems by Mounia Hamidouche et al
01-15-2021	A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion by Adyasha Mohanty et al
01-12-2021	Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges by Wenyu Ouyang et al
01-14-2021	Nowcasting Gentrification Using Airbnb Data by Shomik Jain et al
01-15-2021	Ensemble Learning Based Classification Algorithm Recommendation by Guangtao Wang et al
01-12-2021	A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis by Shaosheng Xu et al
01-14-2021	DiffPD: Differentiable Projective Dynamics with Contact by Tao Du et al
01-12-2021	Neural Network-based Virtual Microphone Estimator by Tsubasa Ochiai et al
01-12-2021	A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing by Rui Liu et al
01-14-2021	Materials Fingerprinting Classification by Adam Spannaus et al
01-14-2021	Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features by David Oniani et al
01-12-2021	Data augmentation and feature selection for automatic model recommendation in computational physics by Thomas Daniel et al
01-13-2021	A Multiple Classifier Approach for Concatenate-Designed Neural Networks by Ka-Hou Chan et al
01-12-2021	UCNN: A Convolutional Strategy on Unstructured Mesh by Mengfei Xu et al
01-12-2021	People, Places, and Ties: Landscape of social places and their social network structures by Jaehyuk Park et al
01-14-2021	Scaling the Convex Barrier with Active Sets by Alessandro De Palma et al
01-12-2021	Reliable Fleet Analytics for Edge IoT Solutions by Emmanuel Raj et al
01-13-2021	Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series by Pradeep Rathore et al
01-12-2021	FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference by Daya Khudia et al
01-14-2021	Physics-aware, probabilistic model order reduction with guaranteed stability by Sebastian Kaltenbach et al
01-14-2021	Needmining: Designing Digital Support to Elicit Needs from Social Media by Niklas Kühl et al