2020.9.7 Learning papers

09-02-2020	Excavating Excavating AI: The Elephant in the Gallery by Michael J. Lyons
09-02-2020	WaveGrad: Estimating Gradients for Waveform Generation by Nanxin Chen et al
09-03-2020	A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning by Martin Mundt et al
09-01-2020	High-Resolution Poverty Maps in Sub-Saharan Africa by Kamwoo Lee et al
09-03-2020	Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark by Marc Hanussek et al
09-03-2020	Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions by Sara Evensen et al
09-01-2020	A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives by Alexander Mathis et al
09-02-2020	Learning to summarize from human feedback by Nisan Stiennon et al
09-02-2020	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily by Han Xu et al
09-02-2020	All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III) by Anubhav Reddy Nallabasannagari et al
09-01-2020	Fed-Sim: Federated Simulation for Medical Imaging by Daiqing Li et al
09-03-2020	HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis by Jiawei Chen et al
09-03-2020	TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data by Harish Doraiswamy et al
09-02-2020	Efficiency in Real-time Webcam Gaze Tracking by Amogh Gudi et al
09-03-2020	Knowing What to Listen to: Early Attention for Deep Speech Representation Learning by Amirhossein Hajavi et al
09-01-2020	TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference by Mostafa Mahmoud et al
09-03-2020	Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning by Stefan C Schonsheck
09-03-2020	Auto-Classifier: A Robust Defect Detector Based on an AutoML Head by Vasco Lopes et al
09-03-2020	Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling by Tsendsuren Munkhdalai
09-01-2020	Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance by Andrew J. Lohn
09-02-2020	Real Image Super Resolution Via Heterogeneous Model using GP-NAS by Zhihong Pan et al
09-03-2020	Modeling Global Body Configurations in American Sign Language by Nicholas Wilkins et al
09-02-2020	Its Hard for Neural Networks To Learn the Game of Life by Jacob M. Springer et al
09-02-2020	Deep Learning to Detect Bacterial Colonies for the Production of Vaccines by Thomas Beznik et al
09-03-2020	Multimodal brain tumor classification by Marvin Lerousseau et al
09-01-2020	Robust, Accurate Stochastic Optimization for Variational Inference by Akash Kumar Dhaka et al
09-02-2020	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators by Xiangxiang Chu et al
09-02-2020	An Internal Cluster Validity Index Based on Distance-based Separability Measure by Shuyue Guan et al
09-04-2020	SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis by Noa Fish et al
09-03-2020	Qibo: a framework for quantum simulation with hardware acceleration by Stavros Efthymiou et al
09-03-2020	A Hybrid Deep Learning Model for Arabic Text Recognition by Mohammad Fasha et al
09-02-2020	Efficient, high-performance pancreatic segmentation using multi-scale feature extraction by Moritz Knolle et al
09-02-2020	SRQA: Synthetic Reader for Factoid Question Answering by Jiuniu Wang et al
09-01-2020	VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA by Carlos Oliver et al
09-03-2020	Fairness in the Eyes of the Data: Certifying Machine-Learning Models by Shahar Segal et al
09-02-2020	P6: A Declarative Language for Integrating Machine Learning in Visual Analytics by Jianping Kelvin Li et al
09-01-2020	Inducing Predictive Uncertainty Estimation for Face Recognition by Weidi Xie et al
09-02-2020	Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems by Jeremy E. Block et al
09-03-2020	CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking by Dimitris Perdios et al
09-02-2020	Understanding the wiring evolution in differentiable neural architecture search by Sirui Xie et al
09-02-2020	Quantum Discriminator for Binary Classification by Prasanna Date
09-04-2020	Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring by Nijat Mehdiyev et al
09-02-2020	Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images by Sagar Kora Venu
09-04-2020	KILT: a Benchmark for Knowledge Intensive Language Tasks by Fabio Petroni et al
09-01-2020	Training Deep Neural Networks with Constrained Learning Parameters by Prasanna Date et al
09-03-2020	Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks by Qi Sun et al
09-01-2020	Learning explanations that are hard to vary by Giambattista Parascandolo et al
09-02-2020	Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation by Danilo Vasconcellos Vargas et al
09-04-2020	Phenotypical Ontology Driven Framework for Multi-Task Learning by Mohamed Ghalwash et al
09-02-2020	Convolutional Speech Recognition with Pitch and Voice Quality Features by Guillermo Cámbara et al
09-02-2020	A Partial Regularization Method for Network Compression by E Zhenqian et al
09-02-2020	Robust Object Classification Approach using Spherical Harmonics by Ayman Mukhaimar et al
09-02-2020	Overcoming Negative Transfer: A Survey by Wen Zhang et al
09-04-2020	Data Readiness for Natural Language Processing by Fredrik Olsson et al
09-03-2020	Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings by John Mitros et al
09-03-2020	Model extraction from counterfactual explanations by Ulrich Aïvodji et al
09-01-2020	Operational vs Convolutional Neural Networks for Image Denoising by Junaid Malik et al
09-02-2020	Identifying Documents In-Scope of a Collection from Web Archives by Krutarth Patel et al
09-01-2020	Variational Mixture of Normalizing Flows by Guilherme G. P. Freitas Pires et al
09-03-2020	FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information by Enyan Dai et al
09-04-2020	HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks by Heungseok Park et al
09-02-2020	Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors by Cezara Benegui et al
09-01-2020	Quality-aware semi-supervised learning for CMR segmentation by Bram Ruijsink et al
09-01-2020	To augment or not to augment? Data augmentation in user identification based on motion sensors by Cezara Benegui et al
09-04-2020	On the implementation of a global optimization method for mixed-variable problems by Giacomo Nannicini
09-01-2020	Universal Approximation Property of Quantum Feature Map by Takahiro Goto et al
09-03-2020	MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance by Anubha Kabra et al
09-03-2020	Explainable Empirical Risk Minimization by A. Jung
09-02-2020	Self-supervised Smoothing Graph Neural Networks by Lu Yu et al
09-01-2020	Scaling Up Deep Neural Network Optimization for Edge Inference by Bingqian Lu et al
09-03-2020	Quantum Long Short-Term Memory by Samuel Yen-Chi Chen et al
09-04-2020	Witches Brew: Industrial Scale Data Poisoning via Gradient Matching by Jonas Geiping et al
09-01-2020	Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images by Seyedehnafiseh Mirniaharikandehei et al
09-01-2020	Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction by Ziyi Yang et al
09-01-2020	Conditional Constrained Graph Variational Autoencoders for Molecule Design by Davide Rigoni et al
09-01-2020	Personalization in Human Activity Recognition by Anna Ferrari et al
09-02-2020	Mutual Teaching for Graph Convolutional Networks by Kun Zhan et al
09-02-2020	Learning from Protein Structure with Geometric Vector Perceptrons by Bowen Jing et al
09-04-2020	S3NAS: Fast NPU-aware Neural Architecture Search Methodology by Jaeseong Lee et al
09-02-2020	Policy Optimization for Linear-Quadratic Zero-Sum Mean-Field Type Games by René Carmona et al
09-01-2020	Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics by Yanchao Sun et al
09-03-2020	Detection of AI-Synthesized Speech Using Cepstral & Bispectral Statistics by Arun K. Singh et al
09-03-2020	ESMFL: Efficient and Secure Models for Federated Learning by Sheng Lin et al
09-01-2020	Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces by Weikai Li et al
09-01-2020	Tensor Relational Algebra for Machine Learning System Design by Binhang Yuan et al
09-04-2020	Multivariate Time-series Anomaly Detection via Graph Attention Network by Hang Zhao et al
09-04-2020	Rethinking Graph Regularization For Graph Neural Networks by Han Yang et al
09-02-2020	Defeating Author Gender Identification with Text Style Transfer by Reza Khan Mohammadi et al
09-03-2020	A Comprehensive Analysis of Information Leakage in Deep Transfer Learning by Cen Chen et al
09-02-2020	Accelerating engineering design by automatic selection of simulation cases through Pool-Based Active Learning by José Hugo C. Gaspar Elsas et al
09-03-2020	Compression-aware Continual Learning using Singular Value Decomposition by Varigonda Pavan Teja et al
09-02-2020	Algebraic Neural Networks: Stability Properties by Alejandro Parada-Mayorga et al
09-02-2020	ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition by Jiuniu Wang et al
09-02-2020	Transform Quantization for CNN Compression by Sean I. Young et al
09-01-2020	Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations by Wei Xia et al
09-03-2020	Sample-Efficient Automated Deep Reinforcement Learning by Jörg K. H. Franke et al
09-02-2020	LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting by Christos Koutlis et al

09-01-2020	Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT by Haining Zheng et al
09-02-2020	Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data by Akram Hussain
09-02-2020	A Heaviside Function Approximation for Neural Network Binary Classification by Nathan Tsoi et al
09-03-2020	Action and Perception as Divergence Minimization by Danijar Hafner et al
09-04-2020	Simultaneous Preference and Metric Learning from Paired Comparisons by Austin Xu et al
09-03-2020	A general approach to bridge the reality-gap by Michael Lomnitz et al
09-01-2020	Lifelong Graph Learning by Chen Wang et al
09-01-2020	Generalisation of Cyberbullying Detection by Khoury Richard et al
09-02-2020	Differentially private kk-means clustering via exponential mechanism and max cover by Anamay Chaturvedi et al
09-03-2020	End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence by Nicolas Skatchkovsky et al
09-04-2020	Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations by Duong Nguyen et al
09-03-2020	Private Weighted Random Walk Stochastic Gradient Descent by Ghadir Ayache et al
09-04-2020	Fast ultrasonic imaging using end-to-end deep learning by Georgios Pilikos et al
09-01-2020	Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints by Syrine Belakaria et al
09-03-2020	Error estimate for a universal function approximator of ReLU network with a local connection by Jae-Mo Kang et al
09-03-2020	Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization by Alan Kuhnle
09-04-2020	ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning by Sheng-Chun Kao et al
09-04-2020	SEANet: A Multi-modal Speech Enhancement Network by Marco Tagliasacchi et al
09-04-2020	A Generalization of Spatial Monte Carlo Integration by Muneki Yasuda et al
09-01-2020	MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales by Philipp Meschenmoser et al
09-04-2020	Towards Musically Meaningful Explanations Using Source Separation by Verena Haunschmid et al
09-02-2020	Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images by Xinyi Huang et al
09-04-2020	A Practical Incremental Method to Train Deep CTR Models by Yichao Wang et al
09-04-2020	Silent Speech Interfaces for Speech Restoration: A Review by Jose A. Gonzalez-Lopez et al
09-04-2020	Fair and Useful Cohort Selection by Niklas Smedemark-Margulies et al
09-03-2020	Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem by Ran Tian et al
09-01-2020	Properties of f-divergences and f-GAN training by Matt Shannon
09-03-2020	CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning by Yanqiao Zhu et al
09-03-2020	Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools by Tom Peetz et al
09-04-2020	Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA by Xiangyun Ding et al
09-01-2020	Stochastic Graph Recurrent Neural Network by Tijin Yan et al
09-03-2020	Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning by Jordan T. Bishop et al
09-02-2020	Generalized vec trick for fast learning of pairwise kernel models by Markus Viljanen et al
09-02-2020	Detecting Parkinsons Disease from Speech-task in an accessible and interpretable manner by Wasifur Rahman et al
09-01-2020	Dual Precision Deep Neural Network by Jae Hyun Park et al
09-04-2020	Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings by Vincent D. Warmerdam et al
09-02-2020	Online system identification in a Duffing oscillator by free energy minimisation by Wouter M Kouw
09-03-2020	Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs by Zahra Dasht Bozorgi et al
09-02-2020	Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series by Waytehad Moskolaï et al
09-01-2020	Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee by Junyi Li et al
09-01-2020	PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space by Christoph Angermann et al
09-02-2020	Bid Shading in The Brave New World of First-Price Auctions by Djordje Gligorijevic et al
09-03-2020	Online Community Detection for Event Streams on Networks by Guanhua Fang et al
09-04-2020	About Graph Degeneracy, Representation Learning and Scalability by Simon Brandeis et al
09-01-2020	Extensions to the Proximal Distance of Method of Constrained Optimization by Alfonso Landeros et al
09-01-2020	Architectural Implications of Graph Neural Networks by Zhihui Zhang et al
09-01-2020	Graph Embedding with Data Uncertainty by Firas Laakom et al
09-03-2020	CoNCRA: A Convolutional Neural Network Code Retrieval Approach by Marcelo de Rezende Martins et al
09-02-2020	Travel time prediction for congested freeways with a dynamic linear model by Semin Kwak et al
09-01-2020	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network by Thanh Tung Khuat et al
09-03-2020	On the study of the Beran estimator for generalized censoring indicators by Mikael Escobar-Bach et al
09-03-2020	DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control by Pengyuan Zhou et al
09-04-2020	AnyDB: An Architecture-less DBMS for Any Workload by Tiemo Bang et al
09-04-2020	Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia by Toktam Khatibi et al
09-02-2020	Change Point Detection by Cross-Entropy Maximization by Aurélien Serre et al
09-01-2020	The connections between Lyapunov functions for some optimization algorithms and differential equations by J. M. Sanz-Serna et al
09-04-2020	Deep data compression for approximate ultrasonic image formation by Georgios Pilikos et al
09-03-2020	Bayesian Perceptron: Towards fully Bayesian Neural Networks by Marco F. Huber
09-01-2020	Developing Constrained Neural Units Over Time by Alessandro Betti et al
09-02-2020	Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA by Zhe Lin et al
09-01-2020	Boosting share routing for multi-task learning by Xiaokai Chen et al
09-02-2020	Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA by Zhe Lin et al
09-03-2020	FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning by Hong-You Chen et al
09-02-2020	An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power by Zhe Lin et al
09-01-2020	Boosting House Price Predictions using Geo-Spatial Network Embedding by Sarkar Snigdha Sarathi Das et al
09-03-2020	Distributed Online Optimization via Gradient Tracking with Adaptive Momentum by Guido Carnevale et al
09-03-2020	Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms by Akira Matsui et al
09-03-2020	Large Dimensional Analysis and Improvement of Multi Task Learning by Malik Tiomoko et al
09-02-2020	Non-parametric generalized linear model by Matthew Dowling et al
09-01-2020	Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization by René Carmona et al
09-02-2020	Clustering of Nonnegative Data and an Application to Matrix Completion by C. Strohmeier et al
09-02-2020	Quasi-symplectic Langevin Variational Autoencoder by Zihao Wang et al
09-03-2020	Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation by Renán Rojas-Gómez et al
09-01-2020	Performance-Agnostic Fusion of Probabilistic Classifier Outputs by Jordan F. Masakuna et al
09-03-2020	Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects by Steffen Herbold et al
09-01-2020	Improved Weighted Random Forest for Classification Problems by Mohsen Shahhosseini et al
09-04-2020	Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection by Yining Wang et al
09-03-2020	Automated identification of metamorphic test scenarios for an ocean-modeling application by Dilip J. Hiremath et al
09-02-2020	Cost-aware Feature Selection for IoT Device Classification by Biswadeep Chakraborty et al
09-01-2020	Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy by Charlotte Laclau et al
09-01-2020	Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique by Fatemeh Jahedpari
09-01-2020	Heterogeneous Graph Neural Network for Recommendation by Jinghan Shi et al
09-01-2020	Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks by Shreshth Tuli et al
09-01-2020	Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction by Oren Yuval et al
09-01-2020	Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries by Shadi Rahimian et al
09-01-2020	POSEIDON:Privacy-Preserving Federated Neural Network Learning by Sinem Sav et al