2020.9.21 Learning papers

09-15-2020	Its Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners by Timo Schick et al
09-16-2020	ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis by R. Kenny Jones et al
09-15-2020	Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning by Yang Liu et al
09-17-2020	Neural CDEs for Long Time Series via the Log-ODE Method by James Morrill et al
09-16-2020	Path Planning using Neural A* Search by Ryo Yonetani et al
09-15-2020	Current Limitations of Language Models: What You Need is Retrieval by Aran Komatsuzaki
09-17-2020	Distributional Generalization: A New Kind of Generalization by Preetum Nakkiran et al
09-17-2020	Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics by Li Li et al
09-16-2020	Detectability of hierarchical communities in networks by Leto Peel et al
09-15-2020	BOP Challenge 2020 on 6D Object Localization by Tomas Hodan et al
09-15-2020	Grounded Adaptation for Zero-shot Executable Semantic Parsing by Victor Zhong et al
09-17-2020	DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set by Damir Vrabac et al
09-16-2020	The Limits of Pan Privacy and Shuffle Privacy for Learning and Estimation by Albert Cheu et al
09-16-2020	Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary by Shuyue Guan et al
09-16-2020	Type-augmented Relation Prediction in Knowledge Graphs by Zijun Cui et al
09-15-2020	Hierarchical community structure in networks by Michael T. Schaub et al
09-16-2020	Captum: A unified and generic model interpretability library for PyTorch by Narine Kokhlikyan et al
09-17-2020	MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks by Zhiqiang Shen et al
09-17-2020	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks by Trapit Bansal et al
09-15-2020	A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation by Moin Nadeem et al
09-17-2020	Review: Deep Learning in Electron Microscopy by Jeffrey M. Ede
09-17-2020	A Multimodal Memes Classification: A Survey and Open Research Issues by Tariq Habib Afridi et al
09-15-2020	Impact and dynamics of hate and counter speech online by Joshua Garland et al
09-17-2020	Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA by Ieva Staliūnaitė et al
09-16-2020	Transfer Learning in Deep Reinforcement Learning: A Survey by Zhuangdi Zhu et al
09-16-2020	Evaluating Self-Supervised Pretraining Without Using Labels by Colorado Reed et al
09-15-2020	Too Much Information Kills Information: A Clustering Perspective by Yicheng Xu et al
09-17-2020	Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning by Bingbing Li et al
09-17-2020	Few-Shot Unsupervised Continual Learning through Meta-Examples by Alessia Bertugli et al
09-16-2020	Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks by Xiang Deng et al
09-16-2020	Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches by Juan Cruz-Benito et al
09-17-2020	MultAV: Multiplicative Adversarial Videos by Shao-Yuan Lo et al
09-17-2020	Learning to Identify Physical Parameters from Video Using Differentiable Physics by Rama Krishna Kandukuri et al
09-16-2020	Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning by Qiong Liu et al
09-16-2020	m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn by Luca Parisi
09-16-2020	MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control by Boris Ivanovic et al
09-17-2020	Large Norms of CNN Layers Do Not Hurt Adversarial Robustness by Youwei Liang et al
09-17-2020	Learning a Deep Part-based Representation by Preserving Data Distribution by Anyong Qin et al
09-17-2020	Noisy Concurrent Training for Efficient Learning under Label Noise by Fahad Sarfraz et al
09-17-2020	Generating Label Cohesive and Well-Formed Adversarial Claims by Pepa Atanasova et al
09-17-2020	Holistic Filter Pruning for Efficient Deep Neural Networks by Lukas Enderich et al
09-15-2020	Generative models with kernel distance in data space by Szymon Knop et al
09-16-2020	MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework by Sung-En Chang et al
09-18-2020	Contextual Semantic Interpretability by Diego Marcos et al
09-16-2020	AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss by Yanlun Tu et al
09-17-2020	Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey by Benyamin Ghojogh et al
09-16-2020	Transformer Based Multi-Source Domain Adaptation by Dustin Wright et al
09-17-2020	Microtubule Tracking in Electron Microscopy Volumes by Nils Eckstein et al
09-17-2020	Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection by Sumesh Thakur et al
09-17-2020	More Embeddings, Better Sequence Labelers? by Xinyu Wang et al
09-17-2020	Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis by Yukiya Hono et al
09-15-2020	Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup by Jang-Hyun Kim et al
09-16-2020	An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector by Liang Liang et al
09-17-2020	The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning by Lorijn Zaadnoordijk et al
09-16-2020	Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis by Xiaoyu Xing et al
09-17-2020	Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT by Youngbin Ro et al
09-16-2020	Pooling Methods in Deep Neural Networks, a Review by Hossein Gholamalinezhad et al
09-16-2020	Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data by K. R. M. dos Santos et al
09-17-2020	SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans by Saeed Seyyedi et al
09-15-2020	The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition by Pablo Barros et al
09-17-2020	Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference by Saloni Dash et al
09-16-2020	Deep Learning in Photoacoustic Tomography: Current approaches and future directions by Andreas Hauptmann et al
09-15-2020	Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation by Insoo Chung et al
09-17-2020	GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning by Chang Liu et al
09-17-2020	Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning by Iulia Duta et al
09-15-2020	Reinforcement Learning for Strategic Recommendations by Georgios Theocharous et al
09-17-2020	Tropical time series, iterated-sums signatures and quasisymmetric functions by Joscha Diehl et al
09-15-2020	Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification by Zhao Wang et al
09-18-2020	HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory by Jakob Struye et al
09-16-2020	Measuring Information Transfer in Neural Networks by Xiao Zhang et al
09-17-2020	Deep Learning Approaches to Classification of Production Technology for 19th Century Books by Chanjong Im et al
09-15-2020	Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet by Victor Makarenkov et al
09-16-2020	RCNN for Region of Interest Detection in Whole Slide Images by A Nugaliyadde et al
09-15-2020	Gravitational Models Explain Shifts on Human Visual Attention by Dario Zanca et al
09-16-2020	An analysis of deep neural networks for predicting trends in time series data by Kouame Hermann Kouassi et al
09-17-2020	Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction by Mariya Toneva et al
09-18-2020	Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures by Anirudh Joshi et al
09-15-2020	Ensemble learning of diffractive optical networks by Md Sadman Sakib Rahman et al
09-15-2020	PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation by Fatema Tuz Zohora et al
09-17-2020	Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth by Konstantin Klemmer et al
09-15-2020	Handwritten Script Identification from Text Lines by Pawan Kumar Singh et al
09-16-2020	Similarity-based data mining for online domain adaptation of a sonar ATR system by Jean de Bodinat et al
09-18-2020	Deep Learning for 3D Point Cloud Understanding: A Survey by Haoming Lu et al
09-17-2020	Less Than One-Shot Learning: Learning N Classes From M<="" a="" style="box-sizing: border-box;"> by Ilia Sucholutsky et al
09-16-2020	Text Generation by Learning from Off-Policy Demonstrations by Richard Yuanzhe Pang et al
09-18-2020	σ2σ2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions by Riccardo La Grassa et al
09-17-2020	Pruning Neural Networks at Initialization: Why are We Missing the Mark? by Jonathan Frankle et al
09-17-2020	Mean-Variance Analysis in Bayesian Optimization under Uncertainty by Shogo Iwazaki et al
09-15-2020	A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition by Pawan Kumar Singh et al
09-15-2020	Optimal Decision Trees for Nonlinear Metrics by Emir Demirović et al
09-15-2020	Asking Complex Questions with Multi-hop Answer-focused Reasoning by Xiyao Ma et al
09-16-2020	Discond-VAE: Disentangling Continuous Factors from the Discrete by Jaewoong Choi et al
09-17-2020	Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing by Ori Katz et al
09-17-2020	Graph representation forecasting of patients medical conditions: towards a digital twin by Pietro Barbiero et al
09-17-2020	Certifying Confidence via Randomized Smoothing by Aounon Kumar et al
09-18-2020	GRAC: Self-Guided and Self-Regularized Actor-Critic by Lin Shao et al
09-17-2020	Towards Behavior-Level Explanation for Deep Reinforcement Learning by Xuan Chen et al
09-15-2020	Demand Forecasting of individual Probability Density Functions with Machine Learning by F. Wick et al
09-17-2020	Automatic deep learning for trend prediction in time series data by Kouame Hermann Kouassi et al
09-18-2020	Search and Rescue with Airborne Optical Sectioning by David C. Schedl et al
09-15-2020	FedSmart: An Auto Updating Federated Learning Optimization Mechanism by Anxun He et al
09-18-2020	GrateTile: Efficient Sparse Tensor Tiling for CNN Processing by Yu-Sheng Lin et al
09-18-2020	Multi-modal Experts Network for Autonomous Driving by Shihong Fang et al
09-15-2020	Constrained Labeling for Weakly Supervised Learning by Chidubem Arachie et al
09-15-2020	An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version) by Márcio P. Basgalupp et al
09-15-2020	Landscape of Sparse Linear Network: A Brief Investigation by Dachao Lin et al
09-17-2020	Layer-stacked Attention for Heterogeneous Network Embedding by Nhat Tran et al
09-15-2020	A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes by Yuxin Ma et al
09-16-2020	Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling by Abdelhak Lemkhenter et al
09-18-2020	Preparing for the Worst: Making Networks Less Brittle with Adversarial Batch Normalization by Manli Shu et al
09-16-2020	SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph by Marco Anteghini et al
09-17-2020	An Extension of Fanos Inequality for Characterizing Model Susceptibility to Membership Inference Attacks by Sumit Kumar Jha et al
09-18-2020	Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change by Taeyeong Choi et al
09-17-2020	A Contraction Approach to Model-based Reinforcement Learning by Ting-Han Fan et al

09-15-2020	The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis by Haiyang Yu et al
09-17-2020	Deep Learning & Software Engineering: State of Research and Future Directions by Prem Devanbu et al
09-16-2020	Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction by Haoran Zhang et al
09-16-2020	Distilled One-Shot Federated Learning by Yanlin Zhou et al
09-17-2020	Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks by Felix Rempe et al
09-16-2020	Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users Feedback by Alexandre Letard et al
09-15-2020	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning by Daochen Zha et al
09-15-2020	Evaluating representations by the complexity of learning low-loss predictors by William F. Whitney et al
09-18-2020	On the Tractability of SHAP Explanations by Guy Van den Broeck et al
09-16-2020	Comparison Lift: Bandit-based Experimentation System for Online Advertising by Tong Geng et al
09-17-2020	Compact Learning for Multi-Label Classification by Jiaqi Lv et al
09-16-2020	PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information by Wajid Arshad Abbasi et al
09-17-2020	Identification of Biomarkers Controlling Cell Fate In Blood Cell Development by Maryam Nazarieh et al
09-17-2020	Finding Effective Security Strategies through Reinforcement Learning and Self-Play by Kim Hammar et al
09-17-2020	Automatic Forecasting using Gaussian Processes by Giorgio Corani et al
09-17-2020	ExGAN: Adversarial Generation of Extreme Samples by Siddharth Bhatia et al
09-17-2020	Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward by Baihan Lin
09-16-2020	Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability by Ninghao Liu et al
09-18-2020	Generating similes like a Pro: A Style Transfer Approach for Simile Generation by Tuhin Chakrabarty et al
09-16-2020	Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW by Sara Alaee et al
09-16-2020	Large-Scale Intelligent Microservices by Mark Hamilton et al
09-17-2020	FLAME: Differentially Private Federated Learning in the Shuffle Model by Ruixuan Liu et al
09-15-2020	Autoregressive Knowledge Distillation through Imitation Learning by Alexander Lin et al
09-16-2020	Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation by Elena V. Epure et al
09-18-2020	Federated Learning with Nesterov Accelerated Gradient Momentum Method by Zhengjie Yang et al
09-16-2020	Kaggle forecasting competitions: An overlooked learning opportunity by Casper Solheim Bojer et al
09-17-2020	Improved Quantum Boosting by Adam Izdebski et al
09-17-2020	A Principle of Least Action for the Training of Neural Networks by Skander Karkar et al
09-18-2020	IDA: Improved Data Augmentation Applied to Salient Object Detection by Daniel V. Ruiz et al
09-16-2020	A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group by Huikang Liu et al
09-18-2020	The Hidden Vulnerability of Watermarking for Deep Neural Networks by Shangwei Guo et al
09-16-2020	A priori guarantees of finite-time convergence for Deep Neural Networks by Anushree Rankawat et al
09-16-2020	A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality by Esteban Vilca et al
09-16-2020	Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model by Giulia Moschini et al
09-16-2020	Improving Delay Based Reservoir Computing via Eigenvalue Analysis by Felix Köster et al
09-16-2020	Brain tumour segmentation using cascaded 3D densely-connected U-net by Mina Ghaffari et al
09-17-2020	Coordinate Methods for Matrix Games by Yair Carmon et al
09-18-2020	Deviation bound for non-causal machine learning by Rémy Garnier et al
09-15-2020	Recurrent autoencoder with sequence-aware encoding by Robert Susik
09-16-2020	On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis by Zhong Li et al
09-18-2020	Principal Components of the Meaning by Neslihan Suzen et al
09-15-2020	Federated Dynamic GNN with Secure Aggregation by Meng Jiang et al
09-18-2020	A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks by Ruoxin Chen et al
09-16-2020	Online nonnegative tensor factorization and CP-dictionary learning for Markovian data by Christopher Strohmeier et al
09-17-2020	Variational Disentanglement for Rare Event Modeling by Zidi Xiu et al
09-16-2020	Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models by Hang Yu et al
09-17-2020	Linear Convergence and Implicit Regularization of Generalized Mirror Descent with Time-Dependent Mirrors by Adityanarayanan Radhakrishnan et al
09-17-2020	Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories by Rodolfo Anibal Lobo et al
09-18-2020	Recurrent Graph Tensor Networks by Yao Lei Xu et al
09-17-2020	SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning by Ran Zhang et al
09-16-2020	Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels by Alexander Lavin
09-16-2020	Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View by Erick Galinkin
09-16-2020	The Dark (and Bright) Side of IoT: Attacks and Countermeasures to Identification of Smart Home Devices and Services by Ahmed Mohamed Hussain et al
09-17-2020	Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation by Zhouyou Gu et al
09-18-2020	Generating Efficient DNN-Ensembles with Evolutionary Computation by Marc Ortiz et al
09-18-2020	Chemical Property Prediction Under Experimental Biases by Yang Liu et al
09-18-2020	Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks by Mehak Gupta et al
09-16-2020	CoDEx: A Comprehensive Knowledge Graph Completion Benchmark by Tara Safavi et al
09-17-2020	Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing by Tayyebeh Jahani-Nezhad et al
09-15-2020	Quasi-Autoregressive Residual (QuAR) Flows by Achintya Gopal
09-15-2020	Second-order Neural Network Training Using Complex-step Directional Derivative by Siyuan Shen et al
09-17-2020	A Fast and Robust Method for Global Topological Functional Optimization by Elchanan Solomon et al
09-16-2020	Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance by Himanshu Pradeep Aswani et al
09-18-2020	Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection by Soham Chattopadhyay et al
09-15-2020	MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization by Wei Chen et al
09-16-2020	TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks by Alexander Geiger et al
09-15-2020	Training neural networks under physical constraints using a stochastic augmented Lagrangian approach by Alp Dener et al
09-17-2020	Real-Time Streaming Anomaly Detection in Dynamic Graphs by Siddharth Bhatia et al
09-17-2020	On Primes, Log-Loss Scores and (No) Privacy by Abhinav Aggarwal et al
09-15-2020	Soft policy optimization using dual-track advantage estimator by Yubo Huang et al
09-17-2020	Bounds for Learning Lossless Source Coding by Anders Host-Madsen
09-17-2020	An early prediction of covid-19 associated hospitalization surge using deep learning approach by Yuqi Meng et al
09-15-2020	Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy by Xuyun Wen et al
09-16-2020	Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions by Sepehr Dehdashtian et al
09-16-2020	Kernel-based L_2-Boosting with Structure Constraints by Yao Wang et al
09-16-2020	Thompson Sampling for Unsupervised Sequential Selection by Arun Verma et al
09-15-2020	Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)? by Seyedehzahra Khoshmanesh et al
09-16-2020	PCA Reduced Gaussian Mixture Models with Applications in Superresolution by Johannes Hertrich et al
09-16-2020	Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks by Alistair W. R. Smith et al
09-16-2020	U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image by Lukman Hakim et al
09-17-2020	Caching in Networks without Regret by Debjit Paria et al
09-17-2020	Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds by Piyush Bagad et al
09-15-2020	On Information Gain and Regret Bounds in Gaussian Process Bandits by Sattar Vakili et al
09-18-2020	Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things by Rahim Rahmani et al
09-18-2020	Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization by Ehecatl Antonio del Rio-Chanona et al
09-17-2020	Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection by Wenhao Li et al
09-15-2020	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage by Zhengyang Wang et al
09-15-2020	Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning by Costas Mavromatis et al
09-17-2020	MStream: Fast Streaming Multi-Aspect Group Anomaly Detection by Siddharth Bhatia et al
09-17-2020	LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density by Abolfazl Taghribi et al
09-16-2020	Lower Bounds for Policy Iteration on Multi-action MDPs by Kumar Ashutosh et al
09-18-2020	On the spatiotemporal behavior in biology-mimicking computing systems by János Végh et al
09-15-2020	Analyzing the effect of APOE on Alzheimers disease progression using an event-based model for stratified populations by Vikram Venkatraghavan et al
09-17-2020	Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation by Yi Yu et al
09-16-2020	Better Model Selection with a new Definition of Feature Importance by Fan Fang et al
09-17-2020	Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems by Jaimit Parikh et al
09-15-2020	Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning by Sheng Wan et al
09-17-2020	Causal Clustering for 1-Factor Measurement Models on Data with Various Types by Shuyan Wang
09-16-2020	Convex Calibrated Surrogates for the Multi-Label F-Measure by Mingyuan Zhang et al
09-15-2020	Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas by Kazuhisa Fujita
09-17-2020	Online Algorithms for Estimating Change Rates of Web Pages by Konstantin Avrachenkov et al
09-16-2020	Collaborative Group Learning by Shaoxiong Feng et al
09-17-2020	Indoor Environment Data Time-Series Reconstruction Using Autoencoder Neural Networks by Antonio Liguori et al
09-15-2020	Data Poisoning Attacks on Regression Learning and Corresponding Defenses by Nicolas Michael Müller et al
09-17-2020	Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data by Jie Peng et al
09-16-2020	Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization by Rishabh Gupta et al
09-16-2020	Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation by Wenhao Ding et al
09-17-2020	Utilizing remote sensing data in forest inventory sampling via Bayesian optimization by Jonne Pohjankukka et al
09-15-2020	Same data may bring conflict results: a caution to use the disruptive index by Guoqiang Liang et al
09-17-2020	Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data by Jose Agustin Barrachina et al
09-15-2020	Interpretable and Interactive Summaries of Actionable Recourses by Kaivalya Rawal et al
09-15-2020	Improve black-box sequential anomaly detector relevancy with limited user feedback by Luyang Kong et al
09-15-2020	Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association by Thosini Bamunu Mudiyanselage et al
09-16-2020	Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments by Xi Chen et al
09-18-2020	A Knowledge Graph based Approach for Mobile Application Recommendation by Mingwei Zhang et al
09-17-2020	Multi-objective dynamic programming with limited precision by L. Mandow et al