2021.1.25 Learning papers

01-21-2021	Characterizing signal propagation to close the performance gap in unnormalized ResNets by Andrew Brock et al
01-21-2021	Noisy intermediate-scale quantum (NISQ) algorithms by Kishor Bharti et al
01-20-2021	Introduction to Normalizing Flows for Lattice Field Theory by Michael S. Albergo et al
01-19-2021	PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses by Seung Won Min et al
01-21-2021	Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment by Thesath Nanayakkara et al
01-21-2021	LEAF: A Learnable Frontend for Audio Classification by Neil Zeghidour et al
01-21-2021	Pre-training without Natural Images by Hirokatsu Kataoka et al
01-21-2021	Robust Reinforcement Learning on State Observations with Learned Optimal Adversary by Huan Zhang et al
01-20-2021	Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion by Wei Gong et al
01-20-2021	UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers by Siyi Hu et al
01-19-2021	Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features by Weihan Zhang et al
01-22-2021	On Maximum Likelihood Training of Score-Based Generative Models by Conor Durkan et al
01-21-2021	MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks by Joosep Pata et al
01-20-2021	Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smales 18th problem by Vegard Antun et al
01-19-2021	Quantum Permutation Synchronization by Tolga Birdal et al
01-21-2021	Arabic Speech Recognition by End-to-End, Modular Systems and Human by Amir Hussein et al
01-19-2021	LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition by Valeriia Cherepanova et al
01-21-2021	Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models? by Jacson Rodrigues Correia-Silva et al
01-20-2021	Analysis of Information Flow Through U-Nets by Suemin Lee et al
01-21-2021	ItNet: iterative neural networks with tiny graphs for accurate and efficient anytime prediction by Thomas Pfeil
01-20-2021	Invariance, encodings, and generalization: learning identity effects with neural networks by S. Brugiapaglia et al
01-21-2021	Self-Adaptive Training: Bridging the Supervised and Self-Supervised Learning by Lang Huang et al
01-20-2021	MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping by Ruimin Feng et al
01-21-2021	Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning by Zhaowei Cai et al
01-22-2021	Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits by Ni Zhan
01-21-2021	MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes by Jinhai Yang et al
01-21-2021	Adv-OLM: Generating Textual Adversaries via OLM by Vijit Malik et al
01-21-2021	Regularization via deep generative models: an analysis point of view by Thomas Oberlin et al
01-20-2021	TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images by Mustafa Hajij et al
01-21-2021	HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in LpLp by Soumyadip Ghosh et al
01-19-2021	Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning by Zeming Li et al
01-20-2021	Collision-Free Flocking with a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning by Chao Yan et al
01-20-2021	Dive into Decision Trees and Forests: A Theoretical Demonstration by Jinxiong Zhang
01-19-2021	Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans by Abhishek Shivdeo et al
01-20-2021	Generating (Formulaic) Text by Splicing Together Nearest Neighbors by Sam Wiseman et al
01-19-2021	Directed Acyclic Graph Neural Networks by Veronika Thost et al
01-21-2021	Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy by Ayana Ghosh et al
01-21-2021	PyGlove: Symbolic Programming for Automated Machine Learning by Daiyi Peng et al
01-20-2021	Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network by Berat Barakat et al
01-22-2021	Differentiable Trust Region Layers for Deep Reinforcement Learning by Fabian Otto et al
01-19-2021	Convolutional conditional neural processes for local climate downscaling by Anna Vaughan et al
01-19-2021	A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations by Junteng Jia et al
01-19-2021	Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks by Sven Koehler et al
01-20-2021	Do we need to go Deep? Knowledge Tracing with Big Data by Varun Mandalapu et al
01-20-2021	Distilling Interpretable Models into Human-Readable Code by Walker Ravina et al
01-19-2021	Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search by Panagiotis Tigas et al
01-19-2021	Information Theoretic Secure Aggregation with User Dropouts by Yizhou Zhao et al
01-19-2021	Disentangled Recurrent Wasserstein Autoencoder by Jun Han et al
01-20-2021	Robust W-GAN-Based Estimation Under Wasserstein Contamination by Zheng Liu et al
01-20-2021	Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction by Ethan Jacob Moyer et al
01-19-2021	SparseDNN: Fast Sparse Deep Learning Inference on CPUs by Ziheng Wang
01-21-2021	Boost then Convolve: Gradient Boosting Meets Graph Neural Networks by Sergei Ivanov et al
01-20-2021	Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details by Zhuqing Jiang et al
01-19-2021	The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions by Xingyi Li et al
01-20-2021	Blocked and Hierarchical Disentangled Representation From Information Theory Perspective by Ziwen Liu et al
01-21-2021	Generative Replay-based Continual Zero-Shot Learning by Chandan Gautam et al
01-22-2021	A shallow neural model for relation prediction by Caglar Demir et al
01-20-2021	Zero-Cost Proxies for Lightweight NAS by Mohamed S. Abdelfattah et al
01-19-2021	Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization by Leonardo Christino et al
01-20-2021	Discussion of Ensemble Learning under the Era of Deep Learning by Yongquan Yang et al
01-20-2021	Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey by Prabadevi B et al
01-20-2021	Enhancing Generative Models via Quantum Correlations by Xun Gao et al
01-19-2021	Autocart -- spatially-aware regression trees for ecological and spatial modeling by Ethan Ancell et al
01-22-2021	Graphical Models for Financial Time Series and Portfolio Selection by Ni Zhan et al
01-19-2021	IntentNet: Learning to Predict Intention from Raw Sensor Data by Sergio Casas et al
01-20-2021	Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation by Yuki Fujimoto et al
01-20-2021	Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments by Daochen Zha et al
01-21-2021	Knowledge Generation -- Variational Bayes on Knowledge Graphs by Florian Wolf
01-22-2021	Selfish Sparse RNN Training by Shiwei Liu et al
01-19-2021	Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer by Matthias Schniewind et al
01-22-2021	Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning by Dariush Bahrami et al
01-20-2021	Component Tree Loss Function: Definition and Optimization by Benjamin Perret et al
01-20-2021	Learning Massive Graph Embeddings on a Single Machine by Jason Mohoney et al
01-21-2021	Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback by Marc Jourdan et al
01-22-2021	Rethinking Domain Generalization Baselines by Francesco Cappio Borlino et al
01-22-2021	Expression Recognition Analysis in the Wild by Donato Cafarelli et al
01-20-2021	Learning based signal detection for MIMO systems with unknown noise statistics by Ke He et al
01-22-2021	Will Artificial Intelligence supersede Earth System and Climate Models? by Christopher Irrgang et al
01-21-2021	Out-of-Distribution Generalization Analysis via Influence Function by Haotian Ye et al
01-20-2021	Influence Estimation for Generative Adversarial Networks by Naoyuki Terashita et al
01-19-2021	The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods by Louis Thiry et al
01-20-2021	secureTF: A Secure TensorFlow Framework by Do Le Quoc et al
01-22-2021	Streaming Models for Joint Speech Recognition and Translation by Orion Weller et al
01-20-2021	Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring by Dan Yang et al
01-19-2021	A survey on shape-constraint deep learning for medical image segmentation by Simon Bohlender et al
01-21-2021	Applications of artificial intelligence in drug development using real-world data by Zhaoyi Chen et al
01-21-2021	UNIT: Unifying Tensorized Instruction Compilation by Jian Weng et al
01-21-2021	Clairvoyant Prefetching for Distributed Machine Learning I/O by Roman Böhringer et al
01-20-2021	DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling by Shangming Cai et al
01-20-2021	Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning by Fayçal Ait Aoudia et al
01-21-2021	A Two-stream Neural Network for Pose-based Hand Gesture Recognition by Chuankun Li et al
01-20-2021	Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data by Francesco Cartella et al
01-19-2021	Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS by Flora Dellinger et al
01-20-2021	Open-Domain Conversational Search Assistant with Transformers by Rafael Ferreira et al
01-22-2021	Adaptive Neighbourhoods for the Discovery of Adversarial Examples by Jay Morgan et al
01-20-2021	Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction by Gang Qu et al
01-21-2021	Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing by Matthew Denton et al
01-20-2021	From Local Pseudorandom Generators to Hardness of Learning by Amit Daniely et al
01-21-2021	A Note on Connectivity of Sublevel Sets in Deep Learning by Quynh Nguyen
01-21-2021	An empirical evaluation of active inference in multi-armed bandits by Dimitrije Markovic et al
01-20-2021	Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs by Kimberley M. Timmins et al
01-20-2021	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism by Qingyun Sun et al
01-19-2021	Cross-domain few-shot learning with unlabelled data by Fupin Yao
01-22-2021	Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning by V. de Vos et al
01-19-2021	UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data by Chengyi Wang et al
01-21-2021	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs by Yuwei Cao et al
01-20-2021	Non-Convex Compressed Sensing with Training Data by G. Welper
01-21-2021	Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images by Tinu Theckel Joy et al
01-20-2021	Neural-based Modeling for Performance Tuning of Spark Data Analytics by Khaled Zaouk et al
01-19-2021	SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks by Chaeun Lee et al
01-19-2021	Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks by Kirby Steckel et al
01-21-2021	Prior Preference Learning from Experts:Designing a Reward with Active Inference by Jinyoung Shin et al
01-22-2021	A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization by Ming Liang et al
01-22-2021	Enhanced word embeddings using multi-semantic representation through lexical chains by Terry Ruas et al
01-21-2021	Breaking the Deadly Triad with a Target Network by Shangtong Zhang et al

01-22-2021	A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations by Barry Smyth et al
01-22-2021	Adversarial Laws of Large Numbers and Optimal Regret in Online Classification by Noga Alon et al
01-21-2021	Crossbreeding in Random Forest by Abolfazl Nadi et al
01-21-2021	Efficient MPI-based Communication for GPU-Accelerated Dask Applications by Aamir Shafi et al
01-20-2021	A Similarity Measure of Gaussian Process Predictive Distributions by Lucia Asencio-Martín et al
01-21-2021	Estimating Average Treatment Effects via Orthogonal Regularization by Tobias Hatt et al
01-19-2021	Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms by David Bouget et al
01-22-2021	Lexical semantic change for Ancient Greek and Latin by Valerio Perrone et al
01-21-2021	Synwalk -- Community Detection via Random Walk Modelling by Christian Toth et al
01-19-2021	Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network by Sheikh Md Hanif Hossain et al
01-21-2021	Collaborative Teacher-Student Learning via Multiple Knowledge Transfer by Liyuan Sun et al
01-21-2021	Active Hybrid Classification by Evgeny Krivosheev et al
01-20-2021	Riemannian-based Discriminant Analysis for Feature Extraction and Classification by Wanguang Yin et al
01-19-2021	Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions by Kui Yang et al
01-19-2021	GLocalX -- From Local to Global Explanations of Black Box AI Models by Mattia Setzu et al
01-19-2021	Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions by Kei Takemura et al
01-19-2021	Minimax Off-Policy Evaluation for Multi-Armed Bandits by Cong Ma et al
01-21-2021	Model-based Policy Search for Partially Measurable Systems by Fabio Amadio et al
01-20-2021	A New Knowledge Gradient-based Method for Constrained Bayesian Optimization by Wenjie Chen et al
01-20-2021	A Robust Blockchain Readiness Index Model by Elias Iosif et al
01-20-2021	Better Short than Greedy: Interpretable Models through Optimal Rule Boosting by Mario Boley et al
01-19-2021	PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator by Jiaheng Wei et al
01-19-2021	Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data by Taniya Seth et al
01-22-2021	Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements by Lukas Brückner et al
01-19-2021	Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data by Wenqian Jiang et al
01-19-2021	Learning Abstract Task Representations by Mikhail M. Meskhi et al
01-20-2021	Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs by Jie Bu et al
01-19-2021	AXM-Net: Cross-Modal Context Sharing Attention Network for Person Re-ID by Ammarah Farooq et al
01-19-2021	Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly by Tanveer Gupte et al
01-22-2021	A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion by Yuzhou Lin et al
01-20-2021	On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder by Jose M. Peña
01-21-2021	Orthogonal Least Squares Based Fast Feature Selection for Linear Classification by Sikai Zhang et al
01-19-2021	Collaboration among Image and Object Level Features for Image Colourisation by Rita Pucci et al
01-19-2021	Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum et al
01-20-2021	An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning by Sharu Theresa Jose et al
01-21-2021	Boosting in Univariate Nonparametric Maximum Likelihood Estimation by YunPeng Li et al
01-19-2021	A framework to compare music generative models using automatic evaluation metrics extended to rhythm by Sebastian Garcia-Valencia et al
01-22-2021	Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning by Forough Yaghoubi et al
01-22-2021	Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions by Todd Huster et al
01-22-2021	Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret by Lai Wei et al
01-21-2021	Soft Genetic Programming Binary Classifiers by Ivan Gridin
01-22-2021	Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS by Sriram Rao et al
01-21-2021	Item Recommendation from Implicit Feedback by Steffen Rendle
01-20-2021	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery by Jingtao Li et al
01-19-2021	Edge-Featured Graph Attention Network by Jun Chen et al
01-19-2021	Few-Shot Bayesian Optimization with Deep Kernel Surrogates by Martin Wistuba et al
01-20-2021	Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells by Luka Žnidarič et al
01-21-2021	A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey by Amandin Chyba Rabeendran et al
01-22-2021	Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data by M. Nazareth da Costa et al
01-19-2021	Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG by Dacheng Chen et al
01-19-2021	Analysis and tuning of hierarchical topic models based on Renyi entropy approach by Sergei Koltcov et al
01-21-2021	Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation by Jingxin Zhang et al
01-19-2021	PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer by HongChien Yu et al
01-21-2021	Time-Correlated Sparsification for Communication-Efficient Federated Learning by Emre Ozfatura et al
01-19-2021	Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks by Balasubramaniam Srinivasan et al
01-22-2021	CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text by Suman Dowlagar et al
01-20-2021	The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds by Gökhan Altan et al
01-22-2021	Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design by Chongwen Huang et al
01-21-2021	Content-Based Textual File Type Detection at Scale by Francesca Del Bonifro et al
01-19-2021	On Provable Backdoor Defense in Collaborative Learning by Ximing Qiao et al
01-19-2021	Implicit Bias of Linear RNNs by Melikasadat Emami et al
01-21-2021	SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples by Anshoo Tandon et al
01-19-2021	Safe and Efficient Model-free Adaptive Control via Bayesian Optimization by Christopher König et al
01-22-2021	Sparsistent filtering of comovement networks from high-dimensional data by Arnab Chakrabarti et al
01-22-2021	Estimating αα-Rank by Maximizing Information Gain by Tabish Rashid et al
01-20-2021	Improved Sensitivity of Base Layer on the Performance of Rigid Pavement by Sajib Saha et al
01-20-2021	Automatic Differentiation via Effects and Handlers: An Implementation in Frank by Jesse Sigal
01-22-2021	A Study of Continuous Vector Representationsfor Theorem Proving by Stanisław Purgał et al
01-20-2021	Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches by Vinayak Sharma et al
01-22-2021	Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence by Mehmet Dedeoglu et al
01-19-2021	Scalable Optimization for Wind Farm Control using Coordination Graphs by Timothy Verstraeten et al
01-21-2021	Overfitting for Fun and Profit: Instance-Adaptive Data Compression by Ties van Rozendaal et al
01-19-2021	Noise Learning Based Denoising Autoencoder by Woong-Hee Lee et al
01-21-2021	Stress Testing of Meta-learning Approaches for Few-shot Learning by Aroof Aimen et al
01-19-2021	Interpretable Models for Granger Causality Using Self-explaining Neural Networks by Ričards Marcinkevičs et al
01-21-2021	Customer Price Sensitivities in Competitive Automobile Insurance Markets by Robert Matthijs Verschuren
01-22-2021	Linear Regression with Distributed Learning: A Generalization Error Perspective by Martin Hellkvist et al
01-22-2021	Bayesian hierarchical stacking by Yuling Yao et al
01-21-2021	Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem by Pratyush Kumar et al
01-19-2021	Machine learning applications for COVID-19: A state-of-the-art review by Firuz Kamalov et al
01-20-2021	A Generalized Weisfeiler-Lehman Graph Kernel by Till Hendrik Schulz et al
01-19-2021	Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy by Luc Pronzato
01-19-2021	Variance Based Samples Weighting for Supervised Deep Learning by Paul Novello et al
01-19-2021	Learnable Embedding Sizes for Recommender Systems by Siyi Liu et al
01-22-2021	Predicting Autism Spectrum Disorder Using Machine Learning Classifiers by Koushik Chowdhury et al
01-21-2021	Differentially Private SGD with Non-Smooth Loss by Puyu Wang et al
01-19-2021	Determining Structural Properties of Artificial Neural Networks Using Algebraic Topology by David Pérez Fernández et al
01-20-2021	Synthesizing Context-free Grammars from Recurrent Neural Networks (Extended Version) by Daniel M. Yellin et al
01-19-2021	Continual Deterioration Prediction for Hospitalized COVID-19 Patients by Jiacheng Liu et al
01-19-2021	Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks by Peng Jiang et al
01-19-2021	Image Denoising using Attention-Residual Convolutional Neural Networks by Rafael G. Pires et al
01-19-2021	Improving type information inferred by decompilers with supervised machine learning by Javier Escalada et al