2020.9.14 Learning papers

09-10-2020	Brain2Word: Decoding Brain Activity for Language Generation by Nicolas Affolter et al
09-11-2020	Adversarial score matching and improved sampling for image generation by Alexia Jolicoeur-Martineau et al
09-10-2020	Modern Methods for Text Generation by Dimas Munoz Montesinos
09-10-2020	Understanding the Role of Individual Units in a Deep Neural Network by David Bau et al
09-09-2020	Pay Attention when Required by Swetha Mandava et al
09-11-2020	Physically Embedded Planning Problems: New Challenges for Reinforcement Learning by Mehdi Mirza et al
09-09-2020	Improving Investment Suggestions for Peer-to-Peer (P2P) Lending via Integrating Credit Scoring into Profit Scoring by Yan Wang et al
09-10-2020	RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations by Meng-Jiun Chiou et al
09-09-2020	Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents by Jacopo Tani et al
09-10-2020	Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images by Julian Alberto Palladino et al
09-09-2020	One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction by Mengli Cheng et al
09-10-2020	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling by K. Darshana Abeyrathna et al
09-11-2020	Community detection in networks using graph embeddings by Aditya Tandon et al
09-11-2020	Fairness Matters -- A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems by Yushi Cao et al
09-10-2020	Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimers Disease by Md Motiur Rahman Sagar et al
09-09-2020	Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens by Asim Khan et al
09-11-2020	YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design by Yuxuan Cai et al
09-09-2020	Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread by Runzhe Wan et al
09-09-2020	Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs by Gilles Vandewiele et al
09-10-2020	3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties by Soha Sadat Mahdi et al
09-10-2020	Meta-Learning with Sparse Experience Replay for Lifelong Language Learning by Nithin Holla et al
09-10-2020	Importance Weighted Policy Learning and Adaption by Alexandre Galashov et al
09-10-2020	COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network by Shakib Yazdani et al
09-11-2020	Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain by Beren Millidge et al
09-10-2020	Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent by Ricardo Bigolin Lanfredi et al
09-10-2020	Text-independent writer identification using convolutional neural network by Hung Tuan Nguyen et al
09-11-2020	Defending Against Multiple and Unforeseen Adversarial Videos by Shao-Yuan Lo et al
09-10-2020	MedMeshCNN -- Enabling MeshCNN for Medical Surface Models by Lisa Schneider et al
09-10-2020	Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning by Yang Zou et al
09-11-2020	A Comparison of LSTM and BERT for Small Corpus by Aysu Ezen-Can
09-10-2020	OCR Graph Features for Manipulation Detection in Documents by Hailey James et al
09-14-2020	VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning by Raghav Awasthi et al
09-10-2020	OrthoReg: Robust Network Pruning Using Orthonormality Regularization by Ekdeep Singh Lubana et al
09-10-2020	Multi-modal embeddings using multi-task learning for emotion recognition by Aparna Khare et al
09-09-2020	Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple by Dayeol Lee et al
09-09-2020	Map-Adaptive Goal-Based Trajectory Prediction by Lingyao Zhang et al
09-10-2020	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization by Qi Zhu et al
09-09-2020	End-to-end Kernel Learning via Generative Random Fourier Features by Kun Fang et al
09-09-2020	Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews by Ying Chen et al
09-09-2020	Online trajectory recovery from offline handwritten Japanese kanji characters by Hung Tuan Nguyen et al
09-10-2020	Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation by Junlong Li et al
09-11-2020	Unit Test Case Generation with Transformers by Michele Tufano et al
09-09-2020	Aspect Classification for Legal Depositions by Saurabh Chakravarty et al
09-09-2020	Rule-Guided Graph Neural Networks for Recommender Systems by Xinze Lyu et al
09-10-2020	A framework for reinforcement learning with autocorrelated actions by Marcin Szulc et al
09-11-2020	Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification by Nicolo Colombo et al
09-09-2020	COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning by Mauricio Arango et al
09-11-2020	AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier by Shujaat Khan et al
09-10-2020	A Framework for Fairer Machine Learning in Organizations by Lily Morse et al
09-09-2020	A Survey on Data Pricing: from Economics to Data Science by Jian Pei
09-11-2020	HAA500: Human-Centric Atomic Action Dataset with Curated Videos by Jihoon Chung et al
09-10-2020	XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification by Kevin Fauvel et al
09-09-2020	Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data by Radu Miron et al
09-10-2020	A Markov Decision Process Approach to Active Meta Learning by Bingjia Wang et al
09-11-2020	Accurate and Intuitive Contextual Explanations using Linear Model Trees by Aditya Lahiri et al
09-14-2020	Zero-shot Synthesis with Group-Supervised Learning by Yunhao Ge et al
09-10-2020	CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets by Daniel Nemirovsky et al
09-11-2020	Meta Learning for Few-Shot One-class Classification by Gabriel Dahia et al
09-11-2020	Optimizing Convolutional Neural Network Architecture via Information Field by Yuke Wang et al
09-09-2020	SoK: Certified Robustness for Deep Neural Networks by Linyi Li et al
09-09-2020	Multimodal Deep Learning for Flaw Detection in Software Programs by Scott Heidbrink et al
09-10-2020	Learning Behavioral Representations of Human Mobility by Maria Luisa Damiani et al
09-10-2020	SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning by Ali Beikmohammadi et al
09-10-2020	Momentum-based Gradient Methods in Multi-objective Recommender Systems by Blagoj Mitrevski et al
09-10-2020	Finite Group Equivariant Neural Networks for Games by Oisín Carroll et al
09-09-2020	Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double by Vincent Paul Su
09-09-2020	On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective by SeongUk Park et al
09-12-2020	An approach to human iris recognition using quantitative analysis of image features and machine learning by Abolfazl Zargari Khuzani et al
09-09-2020	Time-Based Roofline for Deep Learning Performance Analysis by Yunsong Wang et al
09-09-2020	Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware by Peter Blouw et al
09-10-2020	Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case by Nutta Homdee et al
09-10-2020	A First Step Towards Distribution Invariant Regression Metrics by Mario Michael Krell et al
09-09-2020	Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification by Lei Liu et al
09-11-2020	Extending Label Smoothing Regularization with Self-Knowledge Distillation by Ji-Yue Wang et al
09-11-2020	Hierarchical Roofline Performance Analysis for Deep Learning Applications by Yunsong Wang et al
09-10-2020	Second Order Optimization for Adversarial Robustness and Interpretability by Theodoros Tsiligkaridis et al
09-09-2020	Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality by Rui Gao
09-09-2020	A dataset and classification model for Malay, Hindi, Tamil and Chinese music by Fajilatun Nahar et al
09-09-2020	Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks by Helena Cuesta et al
09-13-2020	The Platform Design Problem by Christos Papadimitriou et al
09-09-2020	DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control by Victor M. Martinez Alvarez et al
09-09-2020	QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning by Jian Hu et al
09-09-2020	Kernel-based parameter estimation of dynamical systems with unknown observation functions by Ofir Lindenbaum et al
09-14-2020	GeDi: Generative Discriminator Guided Sequence Generation by Ben Krause et al
09-10-2020	Finding Stable Groups of Cross-Correlated Features in Multi-View data by Miheer Dewaskar et al
09-10-2020	Sparsifying Transformer Models with Differentiable Representation Pooling by Michał Pietruszka et al
09-13-2020	Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent by Matthew Brennan et al
09-11-2020	Visual Neural Decomposition to Explain Multivariate Data Sets by Johannes Knittel et al
09-09-2020	Routing Networks with Co-training for Continual Learning by Mark Collier et al
09-09-2020	Biclustering with Alternating K-Means by Nicolas Fraiman et al
09-09-2020	Developing and Improving Risk Models using Machine-learning Based Algorithms by Yan Wang et al
09-11-2020	Counterfactual Explanations & Adversarial Examples -- Common Grounds, Essential Differences, and Potential Transfers by Timo Freiesleben
09-09-2020	Vision-Based Autonomous Drone Control using Supervised Learning in Simulation by Max Christl
09-11-2020	Improving Robustness to Model Inversion Attacks via Mutual Information Regularization by Tianhao Wang et al
09-11-2020	Federated Model Distillation with Noise-Free Differential Privacy by Lichao Sun et al
09-11-2020	Graph Neural Network based Service Function Chaining for Automatic Network Control by DongNyeong Heo et al
09-11-2020	KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning by Li Yang et al
09-11-2020	On Multitask Loss Function for Audio Event Detection and Localization by Huy Phan et al
09-11-2020	Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion by Divish Rengasamy et al
09-10-2020	Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting by Amirreza Farnoosh et al
09-09-2020	On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion by Mukund Telukunta et al
09-10-2020	Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time by Alan Kuhnle
09-11-2020	A kernel function for Signal Temporal Logic formulae by Luca Bortolussi et al
09-10-2020	Rank over Class: The Untapped Potential of Ranking in Natural Language Processing by Amir Atapour-Abarghouei et al
09-14-2020	Multi-Agent Reinforcement Learning in Cournot Games by Yuanyuan Shi et al
09-09-2020	Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space by Cabannes Vivien
09-09-2020	Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm by Kirtan Padh et al
09-14-2020	Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping by Bruno Adriano et al
09-12-2020	Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks by Faizan Munawar et al
09-11-2020	CatGCN: Graph Convolutional Networks with Categorical Node Features by Weijian Chen et al
09-09-2020	Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks by Tabea Kossen et al
09-13-2020	Efficient Competitive Self-Play Policy Optimization by Yuanyi Zhong et al
09-10-2020	Critical analysis on the reproducibility of visual quality assessment using deep features by Franz Götz-Hahn et al
09-09-2020	FleXOR: Trainable Fractional Quantization by Dongsoo Lee et al

09-11-2020	Achieving Adversarial Robustness via Sparsity by Shufan Wang et al
09-11-2020	Towards Interpretable Multi-Task Learning Using Bilevel Programming by Francesco Alesiani et al
09-11-2020	DART: Data Addition and Removal Trees by Jonathan Brophy et al
09-09-2020	A Methodological Approach to Model CBR-based Systems by Eliseu M. Oliveira et al
09-09-2020	Proxy Network for Few Shot Learning by Bin Xiao et al
09-09-2020	Self-Supervised Annotation of Seismic Images using Latent Space Factorization by Oluwaseun Joseph Aribido et al
09-14-2020	A Multisensory Learning Architecture for Rotation-invariant Object Recognition by Murat Kirtay et al
09-09-2020	A brief history on Homomorphic learning: A privacy-focused approach to machine learning by Aadesh Neupane
09-11-2020	TREX: Tree-Ensemble Representer-Point Explanations by Jonathan Brophy et al
09-09-2020	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games by Muhammad Aneeq uz Zaman et al
09-11-2020	GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation by Yiming Li et al
09-09-2020	Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible by Jingyuan Xia et al
09-09-2020	Phasic Policy Gradient by Karl Cobbe et al
09-09-2020	ODIN: Automated Drift Detection and Recovery in Video Analytics by Abhijit Suprem et al
09-09-2020	Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization by Huan Li et al
09-14-2020	Reservoir Memory Machines as Neural Computers by Benjamin Paaßen et al
09-12-2020	How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks by Alexander Wong et al
09-11-2020	Capacity-Approaching Autoencoders for Communications by Nunzio A. Letizia et al
09-14-2020	Robust Deep Learning Ensemble against Deception by Wenqi Wei et al
09-10-2020	Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data by Axel Wismüller et al
09-14-2020	SAPAG: A Self-Adaptive Privacy Attack From Gradients by Yijue Wang et al
09-10-2020	Why Im not Answering by Sayera Dhaubhadel et al
09-09-2020	VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition by Quan Wang et al
09-11-2020	Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices by Francesco Da Ros et al
09-10-2020	Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem by Liran Shen et al
09-09-2020	From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design by Ruiyuan Lin et al
09-14-2020	A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research by Cody Watson et al
09-10-2020	Generalized Multi-Output Gaussian Process Censored Regression by Daniele Gammelli et al
09-11-2020	MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models by Xiyang Liu et al
09-14-2020	Risk Bounds for Robust Deep Learning by Johannes Lederer
09-11-2020	Accelerating 2PC-based ML with Limited Trusted Hardware by Muqsit Nawaz et al
09-12-2020	Monitoring Spatial Sustainable Development: semi-automated analysis of Satellite and Aerial Images for Energy Transition and Sustainability Indicators by Tim De Jong et al
09-09-2020	A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice by Kaan Gokcesu et al
09-09-2020	tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure by Manie Tadayon et al
09-14-2020	Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature by Javier Juan-Albarracín
09-10-2020	Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis by Andreas Lundgren et al
09-09-2020	Improved Exploration in Factored Average-Reward MDPs by Mohammad Sadegh Talebi et al
09-10-2020	Understanding Coarsening for Embedding Large-Scale Graphs by Taha Atahan Akyildiz et al
09-12-2020	Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection by Yuetian Luo et al
09-11-2020	Bayesian Screening: Multi-test Bayesian Optimization Applied to in silico Material Screening by James Hook et al
09-09-2020	Learning Anatomical Segmentations for Tractography from Diffusion MRI by Christian Ewert et al
09-09-2020	CuratorNet: Visually-aware Recommendation of Art Images by Pablo Messina et al
09-11-2020	End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication by Fayçal Ait Aoudia et al
09-10-2020	Spectral Clustering with Smooth Tiny Clusters by Hengrui Wang et al
09-10-2020	Speaker Diarization Using Stereo Audio Channels: Preliminary Study on Utterance Clustering by Yingjun Dong et al
09-09-2020	Universal consistency of Wasserstein kk-NN classifier by Donlapark Ponnoprat
09-10-2020	Learning Product Rankings Robust to Fake Users by Negin Golrezaei et al
09-13-2020	Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis by Jannis Born et al
09-13-2020	Towards the Quantification of Safety Risks in Deep Neural Networks by Peipei Xu et al
09-11-2020	Deducing neighborhoods of classes from a fitted model by Alexander Gerharz et al
09-12-2020	Attention Cube Network for Image Restoration by Yucheng Hang et al
09-14-2020	Effective Proximal Methods for Non-convex Non-smooth Regularized Learning by Guannan Liang et al
09-10-2020	CasGCN: Predicting future cascade growth based on information diffusion graph by Zhixuan Xu et al
09-14-2020	Variance-Reduced Off-Policy Memory-Efficient Policy Search by Daoming Lyu et al
09-13-2020	Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms by Zhong Li et al
09-09-2020	Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples by Jin Yong Yoo et al
09-14-2020	Not-NUTs at W-NUT 2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets by Thai Quoc Hoang et al
09-14-2020	Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France by David Obst et al
09-10-2020	Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework by Aravind Sankar et al
09-10-2020	Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends by Saman Forouzandeh et al
09-11-2020	Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling by Metodi P. Yankov et al
09-12-2020	Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations by Ze Cheng et al
09-14-2020	Fairness Constraints in Semi-supervised Learning by Tao Zhang et al
09-14-2020	Teaching to Learn: Sequential Teaching of Agents with Inner States by Mustafa Mert Celikok et al
09-09-2020	Understanding the Dynamics of Drivers Locations for Passengers Pickup Performance: A Case Study by Punit Rathore et al
09-14-2020	Input Hessian Regularization of Neural Networks by Waleed Mustafa et al
09-11-2020	Machine Learning and Data Science approach towards trend and predictors analysis of CDC Mortality Data for the USA by Yasir Nadeem et al
09-14-2020	DANCE: Differentiable Accelerator/Network Co-Exploration by Kanghyun Choi et al
09-10-2020	SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context by Mark Cartwright et al
09-12-2020	Differentially Private Language Models Benefit from Public Pre-training by Gavin Kerrigan et al
09-14-2020	A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses by Ambar Pal et al
09-14-2020	Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings by Arghyadip Roy et al
09-12-2020	Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing by Zhidong Gao et al
09-11-2020	UPB at SemEval-2020 Task 6: Pretrained Language Models for DefinitionExtraction by Andrei-Marius Avram et al
09-14-2020	EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition by Chengyu Wang et al
09-09-2020	A Black-box Adversarial Attack for Poisoning Clustering by Antonio Emanuele Cinà et al
09-11-2020	Boosting the Sliding Frank-Wolfe solver for 3D deconvolution by Jean-Baptiste Courbot et al
09-14-2020	Implicit Graph Neural Networks by Fangda Gu et al
09-12-2020	Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network by Nuobei Xie et al
09-11-2020	Machine Learning for Temporal Data in Finance: Challenges and Opportunities by Jason Wittenbach et al
09-12-2020	A general framework for decentralized optimization with first-order methods by Ran Xin et al
09-12-2020	Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process by Amit Surana et al
09-14-2020	The Hardware Lottery by Sara Hooker
09-14-2020	Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection by Jun Yin et al
09-14-2020	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security by Lily Xu et al
09-14-2020	Disease control as an optimization problem by Miguel Navascues et al
09-14-2020	Carousel Personalization in Music Streaming Apps with Contextual Bandits by Walid Bendada et al
09-14-2020	Optimal Testing of Discrete Distributions with High Probability by Ilias Diakonikolas et al
09-10-2020	RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning by Huale Li et al
09-11-2020	Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks by Tom Silver et al
09-13-2020	FLaPS: Federated Learning and Privately Scaling by Sudipta Paul et al
09-14-2020	Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data by Qianqian Tong et al
09-13-2020	Neural Networks Enhancement through Prior Logical Knowledge by Alessandro Daniele et al
09-12-2020	Multiclass Model for Agriculture development using Multivariate Statistical method by N Deepa et al
09-13-2020	Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman by Takuma Yoneda et al
09-11-2020	Supervised learning for the prediction of firm dynamics by Falco J. Bargagli-Stoffi et al
09-14-2020	Performance Evaluation of Linear Regression Algorithm in Cluster Environment by Cinantya Paramita et al
09-11-2020	Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations by Syrine Belakaria et al
09-14-2020	Adaptive Generation Model: A New Ensemble Method by Jiacheng Ruan et al
09-11-2020	Applications of Deep Neural Networks by Jeff Heaton
09-12-2020	MeLIME: Meaningful Local Explanation for Machine Learning Models by Tiago Botari et al
09-14-2020	Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review by Alberto Caron et al
09-13-2020	Manifold attack by Khanh-Hung Tran et al
09-12-2020	Few-shot Learning with LSSVM Base Learner and Transductive Modules by Haoqing Wang et al
09-13-2020	Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure by Aviv Rosenberg et al
09-14-2020	Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue by Longxiang Liu et al
09-13-2020	Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network by Jianan Cui et al
09-14-2020	Density Estimation via Bayesian Inference Engines by M. P. Wand et al
09-14-2020	Short-Term Forecasting COVID-19 Cases In Turkey Using Long Short-Term Memory Network by Selahattin Serdar Helli et al
09-14-2020	Principle Component Analysis for Classification of the Quality of Aromatic Rice by Etika Kartikadarma et al
09-14-2020	A Deep Framework for Cross-Domain and Cross-System Recommendations by Feng Zhu et al
09-14-2020	A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring by Fanglan Zheng et al
09-14-2020	Justicia: A Stochastic SAT Approach to Formally Verify Fairness by Bishwamittra Ghosh et al
09-12-2020	Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization by Ragunathan Mariappan et al
09-11-2020	Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics by Jason W. Bentley et al
09-14-2020	A Principled Approach to Data Valuation for Federated Learning by Tianhao Wang et al
09-14-2020	Into the unknown: Active monitoring of neural networks by Anna Lukina et al
09-13-2020	The Shooting Regressor; Randomized Gradient-Based Ensembles by Nicholas Smith
09-14-2020	Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM by Chaouki Ben Issaid et al

09-14-2020	Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework by Qi Tan et al
09-11-2020	QRnet: optimal regulator design with LQR-augmented neural networks by Tenavi Nakamura-Zimmerer et al
09-12-2020	Extended Radial Basis Function Controller for Reinforcement Learning by Nicholas Capel et al
09-11-2020	A Review on Cyber Crimes on the Internet of Things by Mohan Krishna Kagita et al
09-14-2020	Utility-Optimized Synthesis of Differentially Private Location Traces by Mehmet Emre Gursoy et al
09-10-2020	Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy by Tom Farrand et al
09-13-2020	A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms by Chao Ma et al
09-14-2020	Beyond Accuracy: ROI-driven Data Analytics of Empirical Data by Gouri Deshpande et al
09-10-2020	IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning by Yuxi Huan et al
09-11-2020	Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction by Haruki Nishimura et al
09-12-2020	Machine Learning Against Cancer: Accurate Diagnosis of Cancer by Machine Learning Classification of the Whole Genome Sequencing Data by Arash Hooshmand
09-14-2020	Fed+: A Family of Fusion Algorithms for Federated Learning by Pengqian Yu et al
09-11-2020	Learning an Interpretable Graph Structure in Multi-Task Learning by Shujian Yu et al
09-12-2020	Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter by Young-Ho Kim et al
09-14-2020	Multilevel regression with poststratification for the national level Viber/Street poll on the 2020 presidential election in Belarus by Ales Zahorski
09-09-2020	TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings by Taeheon Lee et al
09-10-2020	Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema by Jérémy Scheurer et al
09-13-2020	Information Laundering for Model Privacy by Xinran Wang et al
09-14-2020	Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing by Yi Shi et al
09-12-2020	Understanding Boolean Function Learnability on Deep Neural Networks by Anderson R. Tavares et al
09-13-2020	Toward the Fundamental Limits of Imitation Learning by Nived Rajaraman et al
09-13-2020	That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings by Weiwei Wang et al
09-11-2020	Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers by Michele Tufano et al
09-10-2020	Time-Aware Evidence Ranking for Fact-Checking by Liesbeth Allein et al
09-13-2020	Advanced Graph-Based Deep Learning for Probabilistic Type Inference by Fangke Ye et al
09-09-2020	Beneficial and Harmful Explanatory Machine Learning by Lun Ai et al
09-10-2020	Multi-Hop Fact Checking of Political Claims by Wojciech Ostrowski et al
09-11-2020	Aligning Subjective Ratings in Clinical Decision Making by Annika Pick et al
09-10-2020	Using Graph Convolutional Networks and TD(λλ) to play the game of Risk by Jamie Carr
09-13-2020	A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning by Changyang She et al
09-13-2020	Margin-Based Regularization and Selective Sampling in Deep Neural Networks by Berry Weinstein et al
09-10-2020	Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans by Paschalis Bizopoulos et al
09-13-2020	Random boosting and random^2 forests -- A random tree depth injection approach by Tobias Markus Krabel et al
09-11-2020	Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation by Murad Tukan et al
09-11-2020	Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent by Rahif Kassab et al
09-11-2020	High correlated variables creator machine: Prediction of the compressive strength of concrete by Aydin Shishegaran et al
09-13-2020	Machine Learnings Dropout Training is Distributionally Robust Optimal by Jose Blanchet et al
09-13-2020	Contrastive Self-supervised Learning for Graph Classification by Jiaqi Zeng et al
09-11-2020	Multimodal Depression Severity Prediction from medical bio-markers using Machine Learning Tools and Technologies by Shivani Shimpi et al
09-11-2020	Spatio-Temporal Functional Neural Networks by Aniruddha Rajendra Rao et al
09-10-2020	Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier by Courtney Ford et al
09-11-2020	Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning by Rui Hu et al
09-10-2020	On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning by Eoin M. Kenny et al
09-10-2020	On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks by Reda Marzouk
09-13-2020	Clustering of non-Gaussian data by variational Bayes for normal inverse Gaussian mixture models by Takashi Takekawa
09-13-2020	Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach by Tongxin Zhou et al
09-13-2020	ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications by Mohammad Abdul Hadi et al
09-11-2020	Abstract Neural Networks by Matthew Sotoudeh et al