2020.04.27 Learning papers

04-22-2020	Chip Placement with Deep Reinforcement Learning by Azalia Mirhoseini et al
04-21-2020	Experience Grounds Language by Yonatan Bisk et al
04-23-2020	Supervised Contrastive Learning by Prannay Khosla et al
04-21-2020	Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation by Ryan Julian et al
04-23-2020	The Creation and Detection of Deepfakes: A Survey by Yisroel Mirsky et al
04-21-2020	Clustering volatility regimes for dynamic trading strategies by Gilad Francis et al
04-21-2020	Vector Quantized Contrastive Predictive Coding for Template-based Music Generation by Gaëtan Hadjeres et al
04-23-2020	Dont Stop Pretraining: Adapt Language Models to Domains and Tasks by Suchin Gururangan et al
04-22-2020	Fast Quantum Algorithm for Learning with Optimized Random Features by Hayata Yamasaki et al
04-21-2020	Neural forecasting: Introduction and literature overview by Konstantinos Benidis et al
04-23-2020	Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads by Suneel Belkhale et al
04-22-2020	Deep Learning for Screening COVID-19 using Chest X-Ray Images by Sanhita Basu et al
04-23-2020	COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution by Qingsen Yan et al
04-21-2020	Decomposed Adversarial Learned Inference by Alexander Hanbo Li et al
04-22-2020	What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing by Irene Li et al
04-23-2020	SIGN: Scalable Inception Graph Neural Networks by Emanuele Rossi et al
04-23-2020	Metric-Learning-Assisted Domain Adaptation by Yueming Yin et al
04-22-2020	Practical calibration of the temperature parameter in Gibbs posteriors by Lucie Perrotta
04-22-2020	Adversarial examples and where to find them by Niklas Risse et al
04-22-2020	Few-Shot Class-Incremental Learning by Xiaoyu Tao et al
04-21-2020	The 1st Agriculture-Vision Challenge: Methods and Results by Mang Tik Chiu et al
04-22-2020	Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting by Yiwen Sun et al
04-22-2020	Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning by Shangtong Zhang et al
04-23-2020	CoInGP: Convolutional Inpainting with Genetic Programming by Domagoj Jakobovic et al
04-22-2020	Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent by Dong Wang et al
04-22-2020	Automatic Polyp Segmentation Using Convolutional Neural Networks by Sara Hosseinzadeh Kassani et al
04-22-2020	Amortized Bayesian model comparison with evidential deep learning by Stefan T. Radev et al
04-21-2020	Forecasting directional movements of stock prices for intraday trading using LSTM and random forests by Pushpendu Ghosh et al
04-23-2020	Unsupervised Speech Decomposition via Triple Information Bottleneck by Kaizhi Qian et al
04-23-2020	Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding by Patrick McClure et al
04-22-2020	Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription by Andrei Andrusenko et al
04-23-2020	Adaptive Forgetting Curves for Spaced Repetition Language Learning by Ahmed Zaidi et al
04-21-2020	MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning by Andriy Mulyar et al
04-23-2020	Learning Dialog Policies from Weak Demonstrations by Gabriel Gordon-Hall et al
04-22-2020	Qd-tree: Learning Data Layouts for Big Data Analytics by Zongheng Yang et al
04-22-2020	A Neural Scaling Law from the Dimension of the Data Manifold by Utkarsh Sharma et al
04-22-2020	A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs by Dominik Martin et al
04-22-2020	TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce by Shuangyong Song et al
04-22-2020	QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks by Priyadarshini Panda
04-23-2020	On Adversarial Examples for Biomedical NLP Tasks by Vladimir Araujo et al
04-23-2020	Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model by Stefan Ollinger et al
04-21-2020	Tensor Networks for Medical Image Classification by Raghavendra Selvan et al
04-22-2020	SoQal: Selective Oracle Questioning in Active Learning by Dani Kiyasseh et al
04-22-2020	Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles by Shunsuke Aoki et al
04-22-2020	A Study of Non-autoregressive Model for Sequence Generation by Yi Ren et al
04-23-2020	Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE by Nicole Novielli et al
04-21-2020	Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI by Jinyoung Kim et al
04-21-2020	Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization by Wei Niu et al
04-21-2020	The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic by Viet Duong et al
04-21-2020	CovidAID: COVID-19 Detection Using Chest X-Ray by Arpan Mangal et al
04-22-2020	ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts by Majid Asgari-Bidhendi et al
04-21-2020	MixNet: Multi-modality Mix Network for Brain Segmentation by Long Chen et al
04-22-2020	Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models by Antonio Blanca et al
04-23-2020	Non-Adaptive Adaptive Sampling on Turnstile Streams by Sepideh Mahabadi et al
04-21-2020	Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints by Long Chen et al
04-22-2020	Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image by Yaoming Cai et al
04-21-2020	M-LVC: Multiple Frames Prediction for Learned Video Compression by Jianping Lin et al
04-22-2020	Up or Down? Adaptive Rounding for Post-Training Quantization by Markus Nagel et al
04-22-2020	Doubly-stochastic mining for heterogeneous retrieval by Ankit Singh Rawat et al
04-21-2020	Quantifying With Only Positive Training Data by Denis dos Reis et al
04-22-2020	A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification by Claire Voreiter et al
04-21-2020	Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark by Edson Bollis et al
04-22-2020	Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations by Dan Valle et al
04-21-2020	Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels by Canxiang Yan et al
04-22-2020	Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit by Tomoki Koriyama et al
04-21-2020	Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling by David Harbecke et al
04-22-2020	Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning by Yang Zhao et al
04-21-2020	Disaster Feature Classification on Aerial Photography to Explain Typhoon Damaged Region using Grad-CAM by Yasuno Takato
04-23-2020	An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans by Michael Gadermayr et al
04-21-2020	EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks by Sanchari Sen et al
04-21-2020	A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images by Long Chen et al
04-23-2020	ArchNet: Data Hiding Model in Distributed Machine Learning System by Kaiyan Chang et al
04-22-2020	DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks by Yikang Zhang et al
04-21-2020	Weakly Aligned Joint Cross-Modality Super Resolution by Guy Shacht et al
04-21-2020	Discrete Variational Attention Models for Language Generation by Xianghong Fang et al
04-21-2020	Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition by Zihan Zhang et al
04-22-2020	A review: Deep learning for medical image segmentation using multi-modality fusion by Tongxue Zhou et al
04-21-2020	Music Generation with Temporal Structure Augmentation by Shakeel Raja
04-23-2020	Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Linear Systems by Jan Drgona et al
04-22-2020	Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective by Ahmad B Qasim et al
04-22-2020	Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation by Xi Wu et al
04-22-2020	Policy Gradient from Demonstration and Curiosity by Jie Chen et al
04-23-2020	A Complete Characterization of Projectivity for Statistical Relational Models by Manfred Jaeger et al
04-21-2020	Federated Learning with Only Positive Labels by Felix X. Yu et al
04-23-2020	Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study by Isarun Chamveha et al
04-21-2020	PAI-GCN: Permutable Anisotropic Graph Convolutional Networks for 3D Shape Representation Learning by Zhongpai Gao et al
04-21-2020	Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast by Benjamin Billot et al
04-22-2020	Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking by Bahman Moraffah et al
04-21-2020	Hierarchically Fair Federated Learning by Jingfeng Zhang et al
04-21-2020	Learning large logic programs by going beyond entailment by Andrew Cropper et al
04-21-2020	Probabilistic Safety for Bayesian Neural Networks by Matthew Wicker et al
04-21-2020	LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition by Xueying Shi et al
04-21-2020	OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints by Qing Han et al
04-22-2020	Private Query Release Assisted by Public Data by Raef Bassily et al
04-23-2020	Deep Learning Classification With Noisy Labels by Guillaume Sanchez et al
04-22-2020	AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning by Keting Lu et al
04-23-2020	Encoding Power Traces as Images for Efficient Side-Channel Analysis by Benjamin Hettwer et al
04-21-2020	STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN by Juan Chen et al
04-21-2020	SIBRE: Self Improvement Based REwards for Reinforcement Learning by Somjit Nath et al
04-21-2020	How to Train your DNN: The Network Operator Edition by Michael Alan Chang et al
04-23-2020	On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints by Alma Rahat et al
04-21-2020	Certifying Joint Adversarial Robustness for Model Ensembles by Mainuddin Ahmad Jonas et al
04-22-2020	Impact of Bias on School Admissions and Targeted Interventions by Yuri Faenza et al
04-23-2020	Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond by Fanghui Liu et al
04-22-2020	Sequential Anomaly Detection using Inverse Reinforcement Learning by Min-hwan Oh et al
04-22-2020	Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora by Mark Grennan et al
04-23-2020	Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base by Barbara Barabasz
04-22-2020	Alternating Minimization Converges Super-Linearly for Mixed Linear Regression by Avishek Ghosh et al
04-21-2020	Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media by Payam Karisani et al
04-22-2020	CodNN -- Robust Neural Networks From Coded Classification by Netanel Raviv et al
04-21-2020	Knowledge Refactoring for Program Induction by Sebastijan Dumancic et al
04-22-2020	Provably robust deep generative models by Filipe Condessa et al
04-21-2020	ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots by Xu Shen et al
04-22-2020	Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage by Xiaowei Yue et al
04-21-2020	Bayesian Nonparametric Weight Factorization for Continual Learning by Nikhil Mehta et al
04-21-2020	Structured Mechanical Models for Robot Learning and Control by Jayesh K. Gupta et al
04-23-2020	Multi-Objective Counterfactual Explanations by Susanne Dandl et al
04-23-2020	From Physics-based models to Predictive Digital Twins via Interpretable Machine Learning by MIchael G. Kapteyn et al
04-22-2020	Spectrally Consistent UNet for High Fidelity Image Transformations by Demetris Marnerides et al
04-23-2020	Deep Learning of Chaos Classification by Woo Seok Lee et al
04-23-2020	Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach by Jia Cai et al
04-22-2020	Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation by Carl-Johan Hoel et al
04-23-2020	Supervised Domain Adaptation: Were we doing Graph Embedding all along? by Lukas Hedegaard et al
04-22-2020	A Framework for Evaluating Gradient Leakage Attacks in Federated Learning by Wenqi Wei et al
04-21-2020	Normalizing Flow Regression by Yonatan Woodbridge et al
04-22-2020	Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms by João Caldeira et al
04-21-2020	Algorithms for slate bandits with non-separable reward functions by Jason Rhuggenaath et al
04-21-2020	On-the-Fly Joint Feature Selection and Classification by Yasitha Warahena Liyanage et al
04-21-2020	Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset Description) by Yutaka Nagashima
04-22-2020	Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity by Sam Coveney et al
04-23-2020	Variance reduction for distributed stochastic gradient MCMC by Khaoula El Mekkaoui et al
04-21-2020	Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks by Chaojie Ji et al
04-21-2020	Robust Interference Management for SISO Systems with Multiple Over-the-Air Computations by Jaber Kakar et al
04-22-2020	Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection by Olga Petrova et al
04-23-2020	Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck by Alec Koppel et al
04-23-2020	A Kernel Two-sample Test for Dynamical Systems by Friedrich Solowjow et al
04-23-2020	Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression by Maria Santamaria et al
04-22-2020	Constrained Neural Ordinary Differential Equations with Stability Guarantees by Aaron Tuor et al
04-23-2020	Learning a Formula of Interpretability to Learn Interpretable Formulas by Marco Virgolin et al
04-23-2020	Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile by Ziyue Li et al
04-21-2020	Reinforcement Learning to Optimize the Logistics Distribution Routes of Unmanned Aerial Vehicle by Linfei Feng
04-21-2020	A Mathematical Programming approach to Binary Supervised Classification with Label Noise by Víctor Blanco et al
04-23-2020	Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization by Huy Phan et al
04-23-2020	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility by Jeffrey Palmerino et al
04-21-2020	Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs by Vo Nguyen Le Duy et al
04-21-2020	Integrated attitude estimation and control of satellite with thruster actuator using ANFIS by SeyedMehdi Abtahi et al
04-23-2020	Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition by Parisa Fard Moshiri et al
04-22-2020	Moment-Based Domain Adaptation: Learning Bounds and Algorithms by Werner Zellinger
04-21-2020	Synthetic Augmentation pix2pix using Tri-category Label with Edge structure for Accurate Segmentation architectures by Yasuno Takato
04-22-2020	Memory and forecasting capacities of nonlinear recurrent networks by Lukas Gonon et al
04-22-2020	Bayesian Optimization with Output-Weighted Importance Sampling by Antoine Blanchard et al
04-21-2020	An RNN-Survival Model to Decide Email Send Times by Harvineet Singh et al
04-21-2020	torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models by Chiheon Kim et al
04-21-2020	A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification by Asunción Jiménez-Cordero et al
04-23-2020	Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes by A. Rene Geist et al
04-22-2020	Towards Runtime Verification of Programmable Switches by Apoorv Shukla et al
04-22-2020	Eigendecomposition of Q in Equally Constrained Quadratic Programming by Shi Yu
04-21-2020	Knowing what you know: valid confidence sets in multiclass and multilabel prediction by Maxime Cauchois et al
04-23-2020	Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices by Wu Yawen et al
04-22-2020	Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI by Iris A. M. Huijben et al
04-21-2020	Rigorous Explanation of Inference on Probabilistic Graphical Models by Yifei Liu et al
04-21-2020	Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning by Sohei Itahara et al
04-21-2020	Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets by Liwei Jiang et al
04-21-2020	Strong Consistency, Graph Laplacians, and the Stochastic Block Model by Shaofeng Deng et al
04-22-2020	Disjoint principal component analysis by constrained binary particle swarm optimization by John Ramírez-Figueroa et al
04-22-2020	Applications of shapelet transform to time series classification of earthquake, wind and wave data by Monica Arul et al
04-21-2020	DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks by Rachmad Vidya Wicaksana Putra et al