2020.01.20 Learning papers

01-15-2020	The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits by Ronshee Chawla et al
01-17-2020	Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling by Lynton Ardizzone et al
01-15-2020	ShapeVis: High-dimensional Data Visualization at Scale by Nupur Kumari et al
01-14-2020	Interpretation and Simplification of Deep Forest by Sangwon Kim et al
01-17-2020	GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks by Qiang Huang et al
01-17-2020	Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates by Ping Zhou et al
01-16-2020	Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions by Li Ye et al
01-15-2020	Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies by Mafalda Falcao Ferreira et al
01-15-2020	Lipschitz Lifelong Reinforcement Learning by Erwan Lecarpentier et al
01-16-2020	Graph Attentional Autoencoder for Anticancer Hyperfood Prediction by Guadalupe Gonzalez et al
01-16-2020	Masking schemes for universal marginalisers by Divya Gautam et al
01-16-2020	Predicting the Physical Dynamics of Unseen 3D Objects by Davis Rempe et al
01-15-2020	Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling by Gilles Vandewiele et al
01-16-2020	Increasing the robustness of DNNs against image corruptions by playing the Game of Noise by Evgenia Rusak et al
01-17-2020	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives by Antoine Dedieu et al
01-17-2020	Gradient descent with momentum --- to accelerate or to super-accelerate? by Goran Nakerst et al
01-16-2020	A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks by Jihun Han et al
01-14-2020	HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset by Ivan Kiskin et al
01-16-2020	MixPath: A Unified Approach for One-shot Neural Architecture Search by Xiangxiang Chu et al
01-14-2020	Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems by C. Estelle Smith et al
01-15-2020	PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting by Saeed Amirgholipour et al
01-15-2020	Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results by Xiaoxiao Li et al
01-14-2020	Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda by Jake Gutierrez et al
01-15-2020	AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses by Tong Niu et al
01-15-2020	Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks by Andrea Bordone Molini et al
01-15-2020	Deep Learning for MIR Tutorial by Alexander Schindler et al
01-17-2020	RobBERT: a Dutch RoBERTa-based Language Model by Pieter Delobelle et al
01-14-2020	Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models by Tennison Liu et al
01-16-2020	Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions by Assaf Marron et al
01-14-2020	ImagineNet: Restyling Apps Using Neural Style Transfer by Michael H. Fischer et al
01-15-2020	Cluster-based Zero-shot learning for multivariate data by Toshitaka Hayashi et al
01-16-2020	Fairness Measures for Regression via Probabilistic Classification by Daniel Steinberg et al
01-17-2020	SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On by Surgan Jandial et al
01-16-2020	Machine learning for total cloud cover prediction by Ágnes Baran et al
01-15-2020	On Model Evaluation under Non-constant Class Imbalance by Jan Brabec et al
01-16-2020	Scalable Hyperparameter Optimization with Lazy Gaussian Processes by Raju Ram et al
01-14-2020	Unsupervised Distribution Learning for Lunar Surface Anomaly Detection by Adam Lesnikowski et al
01-14-2020	Robust Gaussian Process Regression with a Bias Model by Chiwoo Park et al
01-14-2020	Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation by Chuteng Zhou et al
01-14-2020	IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach by Jonathan Pan
01-14-2020	Deep Learning for ECG Segmentation by Viktor Moskalenko et al
01-15-2020	Machine learning transfer efficiencies for noisy quantum walks by Alexey A. Melnikov et al
01-14-2020	Block-wise Dynamic Sparseness by Amir Hadifar et al
01-15-2020	Model-Driven Beamforming Neural Networks by Wenchao Xia et al
01-16-2020	Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT) by Mahdi Bohlouli et al
01-15-2020	Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO by Mario S. Holubar et al
01-15-2020	Deep Residual Flow for Novelty Detection by Ev Zisselman et al
01-14-2020	Filter Grafting for Deep Neural Networks by Fanxu Meng et al
01-15-2020	Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning by Priya Shukla et al
01-16-2020	Understanding the Power of Persistence Pairing via Permutation Test by Chen Cai et al
01-15-2020	NEW: A Generic Learning Model for Tie Strength Prediction in Networks by Zhen Liu et al
01-15-2020	Supervised Segmentation of Retinal Vessel Structures Using ANN by Esra Kaya et al
01-17-2020	Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation by Mikhail Hushchyn et al
01-14-2020	Robust Generalization via αα-Mutual Information by Amedeo Roberto Esposito et al
01-14-2020	Supervised Speaker Embedding De-Mixing in Two-Speaker Environment by Yanpei Shi et al
01-17-2020	Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning by Wilhelm Kirchgässner et al
01-16-2020	Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent by Dan Alistarh et al
01-14-2020	Why is Chicago deceptive? Towards Building Model-Driven Tutorials for Humans by Vivian Lai et al
01-16-2020	A Little Fog for a Large Turn by Harshitha Machiraju et al
01-16-2020	A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data by Linh Kästner et al
01-15-2020	Assessing Robustness of Deep learning Methods in Dermatological Workflow by Sourav Mishra et al
01-16-2020	Weak Detection in the Spiked Wigner Model with General Rank by Ji Hyung Jung et al
01-16-2020	Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks by Léopold Cambier et al
01-15-2020	A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes by Qian Wang et al
01-16-2020	Better Boosting with Bandits for Online Learning by Nikolaos Nikolaou et al
01-14-2020	On the Convex Behavior of Deep Neural Networks in Relation to the Layers Width by Etai Littwin et al
01-14-2020	Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) by Peter Sorrenson et al
01-17-2020	Sideways: Depth-Parallel Training of Video Models by Mateusz Malinowski et al
01-17-2020	Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication by Linda Senigagliesi et al
01-15-2020	DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images by Andrea Bordone Molini et al
01-15-2020	Invertible Generative Modeling using Linear Rational Splines by Hadi M. Dolatabadi et al
01-16-2020	Reward Shaping for Reinforcement Learning with Omega-Regular Objectives by E. M. Hahn et al
01-14-2020	Pedestrian orientation dynamics from high-fidelity measurements by Joris Willems et al
01-14-2020	DDSP: Differentiable Digital Signal Processing by Jesse Engel et al
01-15-2020	Distributed, partially collapsed MCMC for Bayesian Nonparametrics by Avinava Dubey et al
01-16-2020	Learning Stable Deep Dynamics Models by Gaurav Manek et al
01-14-2020	Unsupervised Learning of the Set of Local Maxima by Lior Wolf et al
01-14-2020	Unsupervised Pool-Based Active Learning for Linear Regression by Ziang Liu et al
01-14-2020	Learning multiview 3D point cloud registration by Zan Gojcic et al
01-14-2020	Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction by Jingwen Chen et al
01-16-2020	User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant by Nicolas Lair et al
01-15-2020	Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning by Paola Cascante-Bonilla et al
01-16-2020	Graph Inference Learning for Semi-supervised Classification by Chunyan Xu et al
01-14-2020	Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches by Dominic Kafka et al
01-16-2020	MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? by Joseph Bethge et al
01-15-2020	Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations by Patrick Schramowski et al
01-14-2020	Efficient Debiased Variational Bayes by Multilevel Monte Carlo Methods by Kei Ishikawa et al
01-14-2020	Smooth markets: A basic mechanism for organizing gradient-based learners by David Balduzzi et al
01-14-2020	Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment by Marco Toldo et al
01-14-2020	Balancing the composition of word embeddings across heterogenous data sets by Stephanie Brandl et al
01-14-2020	Hydra: Preserving Ensemble Diversity for Model Distillation by Linh Tran et al
01-15-2020	Estimating Aggregate Properties In Relational Networks With Unobserved Data by Varun Embar et al
01-14-2020	Robust Speaker Recognition Using Speech Enhancement And Attention Model by Yanpei Shi et al
01-14-2020	Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond by Tsung-Hui Chang et al
01-15-2020	Ensemble based discriminative models for Visual Dialog Challenge 2018 by Shubham Agarwal et al
01-16-2020	Extracting more from boosted decision trees: A high energy physics case study by Vidhi Lalchand
01-14-2020	Modeling Product Search Relevance in e-Commerce by Rahul Radhakrishnan Iyer et al
01-16-2020	An adversarial learning framework for preserving users anonymity in face-based emotion recognition by Vansh Narula et al
01-14-2020	Quantisation and Pruning for Neural Network Compression and Regularisation by Kimessha Paupamah et al
01-14-2020	Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning by Roei Schuster et al
01-17-2020	Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning by Marc Bocquet et al
01-17-2020	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks by Tian Bian et al
01-14-2020	Effects of annotation granularity in deep learning models for histopathological images by Jiangbo Shi et al
01-14-2020	Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic B\uchi Automata by Ryohei Oura et al
01-15-2020	CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation by Kancharagunta Kishan Babu et al
01-15-2020	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data by Yuxin Chen et al
01-15-2020	i-flow: High-dimensional Integration and Sampling with Normalizing Flows by Christina Gao et al
01-14-2020	The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation by Fanjie Kong et al
01-15-2020	Learning similarity measures from data by Bjørn Magnus Mathisen et al
01-14-2020	A Content-Based Deep Intrusion Detection System by Mahdi Soltani et al
01-14-2020	On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks by Michela Paganini et al
01-16-2020	ADAMT: A Stochastic Optimization with Trend Correction Scheme by Bingxin Zhou et al
01-15-2020	Support recovery and sup-norm convergence rates for sparse pivotal estimation by Mathurin Massias et al
01-14-2020	Domain Adaption for Knowledge Tracing by Song Cheng et al
01-17-2020	FedVision: An Online Visual Object Detection Platform Powered by Federated Learning by Yang Liu et al
01-14-2020	Hippocampus Segmentation on Epilepsy and Alzheimers Disease Studies with Multiple Convolutional Neural Networks by Diedre Carmo et al
01-17-2020	Approximating Activation Functions by Nicholas Gerard Timmons et al
01-15-2020	Insertion-Deletion Transformer by Laura Ruis et al
01-15-2020	Image Segmentation Using Deep Learning: A Survey by Shervin Minaee et al
01-16-2020	Human-like Time Series Summaries via Trend Utility Estimation by Pegah Jandaghi et al
01-14-2020	Diabetic Retinopathy detection by retinal image recognizing by Gilberto Luis De Conto Junior
01-16-2020	Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid by Juan C. Rodriguez Gamboa et al
01-15-2020	Outlier Detection Ensemble with Embedded Feature Selection by Li Cheng et al
01-15-2020	Noise-tolerant, Reliable Active Classification with Comparison Queries by Max Hopkins et al
01-15-2020	Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations by Pinkesh Badjatiya et al
01-15-2020	Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders by Andrea Valenti et al
01-14-2020	Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders by Yang Li et al
01-15-2020	Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification by Philip Sellars et al
01-15-2020	FGN: Fusion Glyph Network for Chinese Named Entity Recognition by Zhenyu Xuan et al
01-14-2020	Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer by Ori Press et al
01-14-2020	Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components by Dimitrios Boursinos et al
01-15-2020	A Network Pruning Network Approach to Deep Model Compression by Vinay Kumar Verma et al

01-15-2020	MIME: Mutual Information Minimisation Exploration by Haitao Xu et al
01-14-2020	Knowledge Representations in Technical Systems -- A Taxonomy by Kristina Scharei et al
01-14-2020	Private Machine Learning via Randomised Response by David Barber
01-15-2020	AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings by Florian Buettner et al
01-14-2020	A C Code Generator for Fast Inference and Simple Deployment of Convolutional Neural Networks on Resource Constrained Systems by Oliver Urbann et al
01-15-2020	SMT + ILP by Vaishak Belle
01-15-2020	SEERL: Sample Efficient Ensemble Reinforcement Learning by Rohan Saphal et al
01-15-2020	Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization by Tianxiang Gao et al
01-15-2020	A Formal Approach to Explainability by Lior Wolf et al
01-15-2020	Learning a Single Neuron with Gradient Methods by Gilad Yehudai et al
01-17-2020	DNNs as Layers of Cooperating Classifiers by Marelie H. Davel et al
01-14-2020	High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality by Alexander N. Gorban et al
01-14-2020	Differentially Private and Fair Classification via Calibrated Functional Mechanism by Jiahao Ding et al
01-14-2020	Understanding Generalization in Deep Learning via Tensor Methods by Jingling Li et al
01-14-2020	Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach by Burak Çakmak et al
01-16-2020	Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials by Aditi S. Krishnapriyan et al
01-16-2020	Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks by Farnaz Behnia et al
01-15-2020	Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines by Haik Manukian et al
01-16-2020	A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models by Jian Huang et al
01-14-2020	Adversarial Disentanglement with Grouped Observations by Jozsef Nemeth
01-15-2020	Graph-Bert: Only Attention is Needed for Learning Graph Representations by Jiawei Zhang et al
01-15-2020	Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent by Satoshi Takabe et al
01-15-2020	Learning the Ising Model with Generative Neural Networks by Francesco D'Angelo et al
01-15-2020	Doubly Sparse Variational Gaussian Processes by Vincent Adam et al
01-15-2020	Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods by Nimar S. Arora et al
01-14-2020	Total Deep Variation for Linear Inverse Problems by Erich Kobler et al
01-15-2020	Deep learning based Driver Distraction and Drowsiness Detection by Maryam Hashemi et al
01-16-2020	Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet by Sizhe Chen et al
01-15-2020	Domain-Liftability of Relational Marginal Polytopes by Ondrej Kuzelka et al
01-16-2020	Stream-Flow Forecasting of Small Rivers Based on LSTM by Youchuan Hu et al
01-15-2020	Teddy: A System for Interactive Review Analysis by Xiong Zhang et al
01-15-2020	Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem by Cedric G. Fraces et al
01-15-2020	Personalized Activity Recognition with Deep Triplet Embeddings by David M. Burns et al
01-15-2020	Extreme Regression for Dynamic Search Advertising by Yashoteja Prabhu et al
01-16-2020	A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis by Johan Pauwels et al
01-17-2020	Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks by Henrique Siqueira et al
01-16-2020	Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks by Wei Hu et al
01-16-2020	Inferring Individual Level Causal Models from Graph-based Relational Time Series by Ryan Rossi et al
01-16-2020	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via ff-Divergences by Shahab Asoodeh et al
01-16-2020	Continual Learning for Domain Adaptation in Chest X-ray Classification by Matthias Lenga et al
01-16-2020	Some convergent results for Backtracking Gradient Descent method on Banach spaces by Tuyen Trung Truong
01-14-2020	Run-time Deep Model Multiplexing by Amir Erfan Eshratifar et al
01-15-2020	Automated extraction of mutual independence patterns using Bayesian comparison of partition models by Guillaume Marrelec et al
01-15-2020	Show, Recall, and Tell: Image Captioning with Recall Mechanism by Li Wang et al
01-15-2020	Causal Discovery from Incomplete Data: A Deep Learning Approach by Yuhao Wang et al
01-14-2020	PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning by Dor Livne et al
01-16-2020	LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices by Hongwei Xie et al
01-14-2020	SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders by Inseok Hwang et al
01-17-2020	Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant by Shayan Aziznejad et al
01-14-2020	Bio-Inspired Hashing for Unsupervised Similarity Search by Chaitanya K. Ryali et al
01-14-2020	EGGS: A Flexible Approach to Relational Modeling of Social Network Spam by Jonathan Brophy et al
01-17-2020	Cyber Attack Detection thanks to Machine Learning Algorithms by Antoine Delplace et al
01-16-2020	Cross-conformal e-prediction by Vladimir Vovk
01-16-2020	Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization by T. Serizawa et al
01-14-2020	Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach by Pengchao Han et al
01-14-2020	Learning Overlapping Representations for the Estimation of Individualized Treatment Effects by Yao Zhang et al
01-16-2020	Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints by Yichen Zhang et al
01-16-2020	Smart Data based Ensemble for Imbalanced Big Data Classification by Diego García-Gil et al
01-15-2020	Improving GANs for Speech Enhancement by Huy Phan et al
01-15-2020	Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization by Conghui Tan et al
01-14-2020	Towards detection and classification of microscopic foraminifera using transfer learning by Thomas Haugland Johansen et al
01-15-2020	Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss by Pinkesh Badjatiya et al