2020.11.9 Learning papers

11-03-2020	Power of data in quantum machine learning by Hsin-Yuan Huang et al
11-03-2020	Representation Matters: Improving Perception and Exploration for Robotics by Markus Wulfmeier et al
11-05-2020	Intriguing Properties of Contrastive Losses by Ting Chen et al
11-03-2020	Rearrangement: A Challenge for Embodied AI by Dhruv Batra et al
11-06-2020	Underspecification Presents Challenges for Credibility in Modern Machine Learning by Alexander D'Amour et al
11-05-2020	Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces by Zhuoran Qiao et al
11-03-2020	The Complexity of Gradient Descent: CLS = PPAD ∩∩ PLS by John Fearnley et al
11-05-2020	Measuring Data Collection Quality for Community Healthcare by Ramesha Karunasena et al
11-05-2020	Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games by Alessandro Suglia et al
11-04-2020	Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP by Julia Kreutzer et al
11-06-2020	Modular Primitives for High-Performance Differentiable Rendering by Samuli Laine et al
11-04-2020	Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages by Kushal Jain et al
11-05-2020	Semi-supervised Learning for Singing Synthesis Timbre by Jordi Bonada et al
11-06-2020	Complex Query Answering with Neural Link Predictors by Erik Arakelyan et al
11-03-2020	Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health by Vincent Valton et al
11-03-2020	StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization by Ahmed Mustafa et al
11-04-2020	Debiasing classifiers: is reality at variance with expectation? by Ashrya Agrawal et al
11-04-2020	Learning a Decentralized Multi-arm Motion Planner by Huy Ha et al
11-05-2020	Teaching with Commentaries by Aniruddh Raghu et al
11-04-2020	Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss by Yuanxin Zhong et al
11-05-2020	This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition by Meike Nauta et al
11-04-2020	Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN by V N S Rama Krishna Pinnimty et al
11-03-2020	Learning Visual Representations for Transfer Learning by Suppressing Texture by Shlok Mishra et al
11-05-2020	Deep Metric Learning with Spherical Embedding by Dingyi Zhang et al
11-04-2020	Diversity-Enriched Option-Critic by Anand Kamat et al
11-06-2020	The Value Equivalence Principle for Model-Based Reinforcement Learning by Christopher Grimm et al
11-03-2020	Generating Unobserved Alternatives: A Case Study through Super-Resolution and Decompression by Shichong Peng et al
11-05-2020	Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest by Kevin Riou et al
11-04-2020	A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation by Chenggang Lyu et al
11-05-2020	Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction by Xuanzhao Wang et al
11-05-2020	Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks by David Peer et al
11-03-2020	Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning by Alexander Wong et al
11-05-2020	Defense-friendly Images in Adversarial Attacks: Dataset and Metrics forPerturbation Difficulty by Camilo Pestana et al
11-04-2020	Pitfalls in Machine Learning Research: Reexamining the Development Cycle by Stella Biderman et al
11-03-2020	Transforming Gaussian Processes With Normalizing Flows by Juan Maroñas et al
11-05-2020	Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping by Yujing Hu et al
11-05-2020	Adversarial Context Aware Network Embeddings for Textual Networks by Tony Gracious et al
11-04-2020	AML-SVM: Adaptive Multilevel Learning with Support Vector Machines by Ehsan Sadrfaridpour et al
11-04-2020	HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning by Chuan Wang et al
11-05-2020	Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation by Diego Kozlowski et al
11-03-2020	DR-Unet104 for Multimodal MRI brain tumor segmentation by Jordan Colman et al
11-05-2020	Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples by Paul Primus et al
11-04-2020	Filtering for Aggregate Hidden Markov Models with Continuous Observations by Qinsheng Zhang et al
11-03-2020	DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection by Joshua Melton et al
11-05-2020	Neural networks for classification of strokes in electrical impedance tomography on a 3D head model by Valentina Candiani et al
11-03-2020	Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery by Yong-Hao Long et al
11-05-2020	Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning by Hock Hung Chieng et al
11-04-2020	Re-Assessing the Classify and Count Quantification Method by Alejandro Moreo et al
11-05-2020	Absence of Barren Plateaus in Quantum Convolutional Neural Networks by Arthur Pesah et al
11-04-2020	Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate by Jingfeng Wu et al
11-04-2020	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity by Tanmay Gangwani et al
11-03-2020	Attention Beam: An Image Captioning Approach by Anubhav Shrimal et al
11-03-2020	Bayesian Variational Optimization for Combinatorial Spaces by Tony C. Wu et al
11-05-2020	Architecture Agnostic Neural Networks by Sabera Talukder et al
11-06-2020	An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish by Quan Duong et al
11-05-2020	HILONet: Hierarchical Imitation Learning from Non-Aligned Observations by Shanqi Liu et al
11-03-2020	Generalization to New Actions in Reinforcement Learning by Ayush Jain et al
11-04-2020	Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection by Hao Fu et al
11-04-2020	Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding by Ethan K. Gordon et al
11-03-2020	Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores by Ana-Maria Bucur et al
11-05-2020	From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music by Patrick Gray et al
11-03-2020	Small footprint Text-Independent Speaker Verification for Embedded Systems by Julien Balian et al
11-04-2020	Simulation of Human and Artificial Emotion (SHArE) by Kwadwo Opong-Mensah
11-03-2020	A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks by Eden Belouadah et al
11-04-2020	Influence of Event Duration on Automatic Wheeze Classification by Bruno M. Rocha et al
11-03-2020	Learning Causal Semantic Representation for Out-of-Distribution Prediction by Chang Liu et al
11-03-2020	Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge by Lucas Fidon et al
11-04-2020	Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems by Robert J. Moss et al
11-04-2020	Algorithms and Hardness for Linear Algebra on Geometric Graphs by Josh Alman et al
11-04-2020	Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders by Rohit Batra et al
11-05-2020	Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation by Georgios Kotsalis et al
11-05-2020	Identifying and interpreting tuning dimensions in deep networks by Nolan S. Dey et al
11-03-2020	Policy Transfer via Kinematic Domain Randomization and Adaptation by Ioannis Exarchos et al
11-03-2020	Image Classification via Quantum Machine Learning by Héctor Iván García Hernández et al
11-04-2020	Gradient-Based Empirical Risk Minimization using Local Polynomial Regression by Ali Jadbabaie et al
11-04-2020	Reverse engineering learned optimizers reveals known and novel mechanisms by Niru Maheswaranathan et al
11-05-2020	Data Augmentation via Structured Adversarial Perturbations by Calvin Luo et al
11-04-2020	DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search by Yushuo Guan et al
11-05-2020	Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction by Ethan M. Rudd et al
11-04-2020	Channel Planting for Deep Neural Networks using Knowledge Distillation by Kakeru Mitsuno et al
11-04-2020	On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow by Youssef Mroueh et al
11-04-2020	Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective by Shao-Cheng Wen et al
11-05-2020	Amortized Conditional Normalized Maximum Likelihood by Aurick Zhou et al
11-03-2020	Sound Natural: Content Rephrasing in Dialog Systems by Arash Einolghozati et al
11-03-2020	Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks by Tao Bai et al
11-03-2020	Optimizing Molecules using Efficient Queries from Property Evaluations by Samuel Hoffman et al
11-04-2020	Optimizing Transformer for Low-Resource Neural Machine Translation by Ali Araabi et al
11-04-2020	Graph Based Temporal Aggregation for Video Retrieval by Arvind Srinivasan et al
11-04-2020	Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage by Saeed Kargar et al
11-03-2020	Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process by A. Daneshkhah et al
11-06-2020	Answer Span Correction in Machine Reading Comprehension by Revanth Gangi Reddy et al
11-04-2020	Binary classification with ambiguous training data by Naoya Otani et al
11-03-2020	Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time by Yuanzhe Geng et al
11-03-2020	Brain Predictability toolbox: a Python library for neuroimaging based machine learning by Sage Hahn et al
11-03-2020	Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning by Michael Lutter et al
11-03-2020	PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch by Mario Morvan et al
11-05-2020	EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering by Momchil Hardalov et al
11-03-2020	A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs by Souvik Kundu et al
11-06-2020	Resource-Constrained Federated Learning with Heterogeneous Labels and Models by Gautham Krishna Gudur et al
11-04-2020	Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning by Le Chen et al
11-04-2020	Video Generative Adversarial Networks: A Review by Nuha Aldausari et al
11-03-2020	Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems by Stéphane d'Ascoli et al
11-04-2020	No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking system by Huaizheng Zhang et al
11-06-2020	Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data by Cole Miles et al
11-04-2020	Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition by Ben Adlam et al
11-05-2020	Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities by Hao Zhang et al
11-03-2020	Multi-armed Bandits with Cost Subsidy by Deeksha Sinha et al
11-04-2020	Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios by Filip Pałka et al
11-05-2020	Instance Based Approximations to Profile Maximum Likelihood by Nima Anari et al
11-06-2020	FDNAS: Improving Data Privacy and Model Diversity in AutoML by Chunhui Zhang et al
11-06-2020	Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss by Dongseok Shim et al
11-05-2020	Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution by Junjie Pang et al
11-06-2020	Deep coastal sea elements forecasting using U-Net based models by Jesús García Fernández et al
11-03-2020	Robust hypothesis testing and distribution estimation in Hellinger distance by Ananda Theertha Suresh
11-05-2020	Generalized Negative Correlation Learning for Deep Ensembling by Sebastian Buschjäger et al
11-03-2020	Local SGD: Unified Theory and New Efficient Methods by Eduard Gorbunov et al
11-04-2020	Merchant Category Identification Using Credit Card Transactions by Chin-Chia Michael Yeh et al
11-05-2020	Predicting special care during the COVID-19 pandemic: A machine learning approach by Vitor Bezzan et al
11-05-2020	An SMT-Based Approach for Verifying Binarized Neural Networks by Guy Amir et al
11-04-2020	Hybrid Supervised Reinforced Model for Dialogue Systems by Carlos Miranda et al
11-05-2020	Learning Online Data Association by Yilun Du et al
11-03-2020	Deep Joint Transmission-Recognition for Multi-View Cameras by Ezgi Ozyilkan et al
11-03-2020	Classifier Pool Generation based on a Two-level Diversity Approach by Marcos Monteiro et al
11-03-2020	Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks by Minshuo Chen et al
11-04-2020	Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks by Kakeru Mitsuno et al
11-06-2020	Explainable AI meets Healthcare: A Study on Heart Disease Dataset by Devam Dave et al
11-06-2020	Efficient image retrieval using multi neural hash codes and bloom filters by Sourin Chakrabarti
11-06-2020	Learning with Molecules beyond Graph Neural Networks by Gustav Sourek et al
11-05-2020	Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets by Lucas Baier et al
11-04-2020	Concentration Inequalities for Statistical Inference by Huiming Zhang et al
11-05-2020	Predictive Process Model Monitoring using Recurrent Neural Networks by Johannes De Smedt et al
11-04-2020	Stochastic Hard Thresholding Algorithms for AUC Maximization by Zhenhuan Yang et al
11-05-2020	LBGP: Learning Based Goal Planning for Autonomous Following in Front by Payam Nikdel et al
11-05-2020	Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time by Haoyue Zhang et al
11-04-2020	Independent Gaussian Distributions Minimize the Kullback-Leibler (KL) Divergence from Independent Gaussian Distributions by Song Fang et al
11-03-2020	Problems using deep generative models for probabilistic audio source separation by Maurice Frank et al
11-05-2020	A Hysteretic Q-learning Coordination Framework for Emerging Mobility Systems in Smart Cities by Behdad Chalaki et al

11-06-2020	Self Supervised Learning for Object Localisation in 3D Tomographic Images by Yaroslav Zharov et al
11-05-2020	Convergent Algorithms for (Relaxed) Minimax Fairness by Emily Diana et al
11-06-2020	Corpora Compared: The Case of the Swedish Gigaword & Wikipedia Corpora by Tosin P. Adewumi et al
11-03-2020	MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers by Rajat Sharma et al
11-05-2020	A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs by Manon Romain et al
11-03-2020	Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption by Ehud Aharoni et al
11-04-2020	IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data by Xiaosong Jia et al
11-05-2020	Neural Stochastic Contraction Metrics for Robust Control and Estimation by Hiroyasu Tsukamoto et al
11-05-2020	Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network by Jia Guo et al
11-03-2020	Estimating decision tree learnability with polylogarithmic sample complexity by Guy Blanc et al
11-03-2020	Specialization in Hierarchical Learning Systems by Heinke Hihn et al
11-05-2020	Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping by Khaled Koutini et al
11-03-2020	Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients by Misha P. T. Kaandorp et al
11-03-2020	Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction by Rahul Chakwate et al
11-03-2020	Minimax Pareto Fairness: A Multi Objective Perspective by Natalia Martinez et al
11-05-2020	Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services by Yuan Wang et al
11-06-2020	Noise2Sim -- Similarity-based Self-Learning for Image Denoising by Chuang Niu et al
11-03-2020	Tabular Transformers for Modeling Multivariate Time Series by Inkit Padhi et al
11-03-2020	Federated LQR: Learning through Sharing by Zhaolin Ren et al
11-03-2020	Amortized Variational Deep Q Network by Haotian Zhang et al
11-05-2020	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning by Chong Liu et al
11-03-2020	Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models by Tom Heskes et al
11-03-2020	AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient by Hoang Tran et al
11-03-2020	Gradient Coding with Dynamic Clustering for Straggler Mitigation by Baturalp Buyukates et al
11-05-2020	Sampled Nonlocal Gradients for Stronger Adversarial Attacks by Leo Schwinn et al
11-04-2020	Advantage of Deep Neural Networks for Estimating Functions with Singularity on Curves by Masaaki Imaizumi et al
11-03-2020	Regularized spectral methods for clustering signed networks by Mihai Cucuringu et al
11-04-2020	A multi-level approach with visual information for encrypted H.265/HEVC videos by Wenying Wen et al
11-03-2020	Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals by Fabian Guignard et al
11-03-2020	ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020 by Shen Chen
11-04-2020	Causal Autoregressive Flows by Ilyes Khemakhem et al
11-06-2020	Channel Pruning via Multi-Criteria based on Weight Dependency by Yangchun Yan et al
11-05-2020	A Black-Box Attack Model for Visually-Aware Recommender Systems by Rami Cohen et al
11-03-2020	A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! by Dmitry Kovalev et al
11-06-2020	Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data by Dennis Ulmer et al
11-05-2020	Fast Rates for Contextual Linear Optimization by Yichun Hu et al
11-04-2020	BaFFLe: Backdoor detection via Feedback-based Federated Learning by Sebastien Andreina et al
11-06-2020	Physic-informed Neural-Network Software for Molecular Dynamics Applications by Taufeq Mohammed Razakh et al
11-03-2020	Quadratic Metric Elicitation with Application to Fairness by Gaurush Hiranandani et al
11-04-2020	Correlation based Multi-phasal models for improved imagined speech EEG recognition by Rini A Sharon et al
11-04-2020	EAdam Optimizer: How ϵϵ Impact Adam by Wei Yuan et al
11-03-2020	Analytical aspects of non-differentiable neural networks by Gian Paolo Leonardi et al
11-03-2020	A Study of Policy Gradient on a Class of Exactly Solvable Models by Gavin McCracken et al
11-03-2020	Control with adaptive Q-learning by João Pedro Araújo et al
11-03-2020	Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition by Zhong Meng et al
11-03-2020	RetroXpert: Decompose Retrosynthesis Prediction like a Chemist by Chaochao Yan et al
11-03-2020	Towards a Unified Quadrature Framework for Large-Scale Kernel Machines by Fanghui Liu et al
11-03-2020	Multicollinearity Correction and Combined Feature Effect in Shapley Values by Indranil Basu et al
11-04-2020	Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps by Jialiang Zhao et al
11-04-2020	A Neuro-Symbolic Method for Solving Differential and Functional Equations by Maysum Panju et al
11-03-2020	Understanding Capacity-Driven Scale-Out Neural Recommendation Inference by Michael Lui et al
11-04-2020	Federated Knowledge Distillation by Hyowoon Seo et al
11-05-2020	Wasserstein-based fairness interpretability framework for machine learning models by Alexey Miroshnikov et al
11-05-2020	Mining Functionally Related Genes with Semi-Supervised Learning by Kaiyu Shen et al
11-05-2020	Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization by Matthias J. Ehrhardt et al
11-05-2020	Nonparametric Variable Screening with Optimal Decision Stumps by Jason M. Klusowski et al
11-03-2020	Greedy kk-Center from Noisy Distance Samples by Neharika Jali et al
11-05-2020	Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? by Chaoqi Wang et al
11-03-2020	Mixing Consistent Deep Clustering by Daniel Lutscher et al
11-03-2020	Ensuring Dataset Quality for Machine Learning Certification by Sylvaine Picard et al
11-03-2020	Automated Hyperparameter Selection for the PC Algorithm by Eric V. Strobl
11-04-2020	On Self-Distilling Graph Neural Network by Yuzhao Chen et al
11-05-2020	Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits by Siwei Wang et al
11-03-2020	Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance by Thinh T. Doan
11-04-2020	Graph Neural Networks in Recommender Systems: A Survey by Shiwen Wu et al
11-04-2020	Mixed Set Domain Adaptation by Sitong Mao et al
11-04-2020	Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks by Zhiyang Wang et al
11-04-2020	Which Minimizer Does My Neural Network Converge To? by Manuel Nonnenmacher et al
11-03-2020	Towards a Universal Gating Network for Mixtures of Experts by Chen Wen Kang et al
11-06-2020	Towards Obfuscated Malware Detection for Low Powered IoT Devices by Daniel Park et al
11-05-2020	Alignment Restricted Streaming Recurrent Neural Network Transducer by Jay Mahadeokar et al
11-05-2020	Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent by Dimitris Fotakis et al
11-03-2020	MBVI: Model-Based Value Initialization for Reinforcement Learning by Xubo Lyu et al
11-03-2020	Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data by Chongyang Wang et al
11-06-2020	Deep learning architectures for inference of AC-OPF solutions by Thomas Falconer et al
11-03-2020	Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model by Sophie-Camille Hogue et al
11-06-2020	Sequential Minimal Optimization for One-Class Slab Support Vector Machine by Bagesh Kumar et al
11-03-2020	Deep tree-ensembles for multi-output prediction by Felipe Kenji Nakano et al
11-04-2020	Convolutional Proximal Neural Networks and Plug-and-Play Algorithms by Johannes Hertrich et al
11-05-2020	Machine Generation and Detection of Arabic Manipulated and Fake News by El Moatez Billah Nagoudi et al
11-04-2020	DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction by Peter Bjørn Jørgensen et al
11-04-2020	Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation by Sitong Mao et al
11-06-2020	Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems by Rickard Karlsson et al
11-04-2020	Rank Based Pseudoinverse Computation in Extreme Learning Machine for Large Datasets by Ramesh Ragala et al
11-03-2020	Toward Force Estimation in Robot-Assisted Surgery using Deep Learning with Vision and Robot State by Zonghe Chua et al
11-04-2020	Node-Centric Graph Learning from Data for Brain State Identification by Nafiseh Ghoroghchian et al
11-03-2020	Embedding Node Structural Role Identity into Hyperbolic Space by Lili Wang et al
11-04-2020	Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization by Tristan Thrush et al
11-03-2020	Residual Likelihood Forests by Yan Zuo et al
11-04-2020	Capped norm linear discriminant analysis and its applications by Jiakou Liu et al
11-05-2020	On the Information Complexity of Proper Learners for VC Classes in the Realizable Case by Mahdi Haghifam et al
11-03-2020	Episodic Linear Quadratic Regulators with Low-rank Transitions by Tianyu Wang et al
11-05-2020	Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering by Quan Tran et al
11-04-2020	Kernel Dependence Network by Chieh Wu et al
11-03-2020	DeepReach: A Deep Learning Approach to High-Dimensional Reachability by Somil Bansal et al
11-03-2020	Can We Trust Deep Speech Prior? by Ying Shi et al
11-03-2020	Robust Latent Representations via Cross-Modal Translation and Alignment by Vandana Rajan et al
11-05-2020	CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery by Kiwan Maeng et al
11-06-2020	Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement by Aswin Sivaraman et al
11-04-2020	Latent Causal Invariant Model by Xinwei Sun et al
11-06-2020	Occlusion-Aware Search for Object Retrieval in Clutter by Wissam Bejjani et al
11-03-2020	An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee by Tiansheng Huang et al
11-05-2020	KompaRe: A Knowledge Graph Comparative Reasoning System by Lihui Liu et al
11-05-2020	FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks by Ali Abedi et al
11-04-2020	Single channel voice separation for unknown number of speakers under reverberant and noisy settings by Shlomo E. Chazan et al
11-06-2020	(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network by Peng Bai et al
11-06-2020	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness by Xuan Bi et al
11-03-2020	Learning on Attribute-Missing Graphs by Xu Chen et al
11-04-2020	Quantized Variational Inference by Amir Dib
11-03-2020	Learning to Rank with Missing Data via Generative Adversarial Networks by Grace Deng et al
11-03-2020	Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI by Guang Lin et al
11-03-2020	Graph Enhanced High Dimensional Kernel Regression by E. Pei et al
11-06-2020	Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation by Seyedeh Faezeh Hosseini Noorbin et al
11-05-2020	Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization by Antonio Carta et al
11-04-2020	Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization by Sharu Theresa Jose et al
11-06-2020	Massively Parallel Graph Drawing and Representation Learning by Christian Böhm et al
11-03-2020	A Scalable Approach for Privacy-Preserving Collaborative Machine Learning by Jinhyun So et al
11-04-2020	A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation by A. Khaled Zarabie et al
11-06-2020	Communication-efficient Decentralized Local SGD over Undirected Networks by Tiancheng Qin et al
11-03-2020	(Un)fairness in Post-operative Complication Prediction Models by Sandhya Tripathi et al
11-06-2020	ASFGNN: Automated Separated-Federated Graph Neural Network by Longfei Zheng et al
11-06-2020	Federated Crowdsensing: Framework and Challenges by Leye Wang et al
11-05-2020	Can We Detect Mastitis earlier than Farmers? by Cathal Ryan et al
11-04-2020	Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems by Marcelo V. W. Zibetti et al
11-03-2020	High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation by Kristjan Greenewald et al
11-04-2020	A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery by Bolaji Yusuf et al
11-06-2020	A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees by Haoran Zhu et al
11-03-2020	A deep learning classifier for local ancestry inference by Matthew Aguirre et al
11-06-2020	Session-aware Recommendation: A Surprising Quest for the State-of-the-art by Sara Latifi et al
11-03-2020	On the Moral Justification of Statistical Parity by Corinna Hertweck et al
11-05-2020	There is no trade-off: enforcing fairness can improve accuracy by Subha Maity et al
11-06-2020	User-Dependent Neural Sequence Models for Continuous-Time Event Data by Alex Boyd et al
11-03-2020	Integrating Deep-Learning-Based Image Completion and Motion Planning to Expedite Indoor Mapping by Shmuel Y. Hayoun et al
11-06-2020	Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines by Serkan Budak et al
11-05-2020	Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction by Salman Jahani et al
11-05-2020	On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method by Ye He et al
11-03-2020	Online Observer-Based Inverse Reinforcement Learning by Ryan Self et al