2021.8.30 Learning papers

08-25-2021	Quantum Machine Learning for Health State Diagnosis and Prognostics by Gabriel San Martín et al
08-26-2021	A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales by Yihao Hu et al
08-27-2021	Application of Classification and Feature Selection in Building Energy Simulations by Fatemeh Shahsavari et al
08-26-2021	On the use of test smells for prediction of flaky tests by B. H. P. Camara et al
08-24-2021	Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy by Shashank Reddy Vadyala et al
08-25-2021	NGC: A Unified Framework for Learning with Open-World Noisy Data by Zhi-Fan Wu et al
08-24-2021	Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE by Wenzhao Xiang et al
08-24-2021	GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity by Wei Niu et al
08-25-2021	Learning Class-level Prototypes for Few-shot Learning by Minglei Yuan et al
08-25-2021	Multi-Attributed and Structured Text-to-Face Synthesis by Rohan Wadhawan et al
08-24-2021	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study by Tianlong Chen et al
08-24-2021	Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding by Rickard Sjögren et al
08-24-2021	A QuadTree Image Representation for Computational Pathology by Rob Jewsbury et al
08-24-2021	Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network by Minglang Yin et al
08-25-2021	Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation by Jiaqi Gu et al
08-25-2021	Learning From Long-Tailed Data With Noisy Labels by Shyamgopal Karthik et al
08-27-2021	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations by Stephen R. Pfohl et al
08-26-2021	4-bit Quantization of LSTM-based Speech Recognition Models by Andrea Fasoli et al
08-24-2021	Graph Contrastive Pre-training for Effective Theorem Reasoning by Zhaoyu Li et al
08-27-2021	Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting by Ashutosh Sao et al
08-25-2021	Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification by Bo Pang et al
08-26-2021	When and how epochwise double descent happens by Cory Stephenson et al
08-26-2021	Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks by Landan Seguin et al
08-27-2021	A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation by Beatriz Cabrero Daniel et al
08-27-2021	Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder by Rachel Cooper et al
08-24-2021	Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging by Rico Landman et al
08-26-2021	DeepFlow: Abnormal Traffic Flow Detection Using Siamese Networks by Sepehr Sabour et al
08-24-2021	The Effect of Noise Level on Causal Identification with Additive Noise Models by Benjamin Kap
08-26-2021	Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks by Bin Liu
08-24-2021	Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball by Hamed Hamze Bajgiran et al
08-24-2021	EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning by Hongbin Liu et al
08-26-2021	Disentangling ODE parameters from dynamics in VAEs by Stathi Fotiadis et al
08-26-2021	GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware by Xin Liu et al
08-26-2021	Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning by Md. Mohsin Sarker Raihan et al
08-27-2021	A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization by Md Geaur Rahman et al
08-26-2021	Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning by Sora Iwamoto et al
08-26-2021	PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning by Xiaoang Shen et al
08-27-2021	Parallel Machine Learning for Forecasting the Dynamics of Complex Networks by Keshav Srinivasan et al
08-27-2021	Canoe : A System for Collaborative Learning for Neural Nets by Harshit Daga et al
08-27-2021	Reinforcement Learning-powered Semantic Communication via Semantic Similarity by Kun Lu et al
08-26-2021	Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models? by Dominic Richards et al
08-26-2021	Spatio-Temporal Graph Contrastive Learning by Xu Liu et al
08-25-2021	Social Norm Bias: Residual Harms of Fairness-Aware Algorithms by Myra Cheng et al
08-25-2021	Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning by Conrad Sanderson et al
08-25-2021	What do pre-trained code models know about code? by Anjan Karmakar et al
08-26-2021	Deep learning based dictionary learning and tomographic image reconstruction by Jevgenija Rudzusika et al
08-25-2021	Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms by Elizabeth Ditton et al
08-25-2021	Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens by Itay Itzhak et al
08-27-2021	A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data by Muhammad Mobaidul Islam et al
08-25-2021	Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization by Difan Zou et al
08-26-2021	An Introduction to Hamiltonian Monte Carlo Method for Sampling by Nisheeth K. Vishnoi
08-27-2021	Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain by Sajad Darabi et al
08-25-2021	CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training by Hari Prasanna Das et al
08-27-2021	Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems by Raphael Lamprecht et al
08-26-2021	Using GAN-based models to sentimental analysis on imbalanced datasets in education domain by Ru Yang et al
08-26-2021	Estimation of Riemannian distances between covariance operators and Gaussian processes by Ha Quang Minh
08-26-2021	An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences by Alessandro Bruno
08-26-2021	Sketches for Time-Dependent Machine Learning by Jesus Antonanzas et al
08-25-2021	Deep few-shot learning for bi-temporal building change detection by Mehdi Khoshboresh-Masouleh et al
08-24-2021	Taming the Beast: Learning to Control Neural Conversational Models by Andrea Madotto
08-26-2021	Training a discrete variational autoencoder for generative chemistry and drug design on a quantum annealer by A. I. Gircha et al
08-26-2021	Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference by Yang Zheng et al
08-26-2021	Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI by Bastian Pfeifer et al
08-25-2021	The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks by Niladri S. Chatterji et al
08-25-2021	Unsupervised Reservoir Computing for Solving Ordinary Differential Equations by Marios Mattheakis et al
08-26-2021	A Hierarchical Assessment of Adversarial Severity by Guillaume Jeanneret et al
08-27-2021	An Adaptive Clustering Approach for Accident Prediction by Rajjat Dadwal et al
08-25-2021	Decentralized optimization with non-identical sampling in presence of stragglers by Tharindu Adikari et al
08-25-2021	SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations by Ali Javed et al
08-24-2021	Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts by Yujiang He
08-27-2021	A Guide to Reproducible Research in Signal Processing and Machine Learning by Joseph Shenouda et al
08-24-2021	Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions by Shibal Ibrahim et al
08-26-2021	A framework for massive scale personalized promotion by Yitao Shen et al
08-27-2021	CAPE: Context-Aware Private Embeddings for Private Language Learning by Richard Plant et al
08-24-2021	The staircase property: How hierarchical structure can guide deep learning by Emmanuel Abbe et al
08-27-2021	LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links by Akihito Sudo et al
08-27-2021	Multiple Hypothesis Testing Framework for Spatial Signals by Martin Gölz et al
08-26-2021	DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN by Yu Wang et al
08-26-2021	Enabling SQL-based Training Data Debugging for Federated Learning by Yejia Liu et al
08-26-2021	Federated Reinforcement Learning: Techniques, Applications, and Open Challenges by Jiaju Qi et al
08-25-2021	Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation by Jogendra Nath Kundu et al
08-25-2021	ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation by Matheus Barros Pereira et al
08-25-2021	Physics-informed neural networks for improving cerebral hemodynamics predictions by Mohammad Sarabian et al
08-24-2021	Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale by Sahra Ghalebikesabi et al
08-24-2021	Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model by Dipti Mishra et al
08-26-2021	Self-Attention for Audio Super-Resolution by Nathanaël Carraz Rakotonirina
08-27-2021	Learning primal-dual sparse kernel machines by Riikka Huusari et al
08-26-2021	Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics by Wuyang Chen et al
08-26-2021	Efficient Out-of-Distribution Detection Using Latent Space of ββ-VAE for Cyber-Physical Systems by Shreyas Ramakrishna et al
08-24-2021	DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates by Luigi Fiorillo et al
08-24-2021	Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives by Kaan Gokcesu et al
08-25-2021	Bridged Adversarial Training by Hoki Kim et al
08-25-2021	Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process by Fei Ye et al
08-26-2021	Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs? by Kevin Blin et al
08-26-2021	Continual learning under domain transfer with sparse synaptic bursting by Shawn L. Beaulieu et al
08-26-2021	Towards Self-Explainable Graph Neural Network by Enyan Dai et al
08-25-2021	Generalized Real-World Super-Resolution through Adversarial Robustness by Angela Castillo et al
08-26-2021	Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement by Yuzi Yan et al
08-26-2021	Parallelised Diffeomorphic Sampling-based Motion Planning by Tin Lai et al
08-24-2021	The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming by Chufan Gao et al
08-25-2021	Integrated Speech and Gesture Synthesis by Siyang Wang et al
08-24-2021	Federated Learning for Open Banking by Guodong Long et al
08-25-2021	Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral by Lucio M. Dery et al
08-27-2021	Active Inference for Stochastic Control by Aswin Paul et al
08-24-2021	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability by Dawid Rymarczyk et al
08-25-2021	Lightweight Self-Attentive Sequential Recommendation by Yang Li et al
08-27-2021	Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information by Eike-Manuel Bansbach et al
08-27-2021	Man versus Machine: AutoML and Human Experts Role in Phishing Detection by Rizka Purwanto et al
08-27-2021	This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation by Srishti Gautam et al
08-24-2021	Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach by Jing Xiong et al
08-26-2021	Bilateral Denoising Diffusion Models by Max W. Y. Lam et al
08-26-2021	Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality by Damek Davis et al
08-25-2021	SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches by Arlene John et al
08-24-2021	Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data by Lam Si Tung Ho et al
08-27-2021	Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation by Dominik Scheinert et al

08-25-2021	Anomaly Detection in Medical Imaging -- A Mini Review by Maximilian E. Tschuchnig et al
08-25-2021	CoSEM: Contextual and Semantic Embedding for App Usage Prediction by Yonchanok Khaokaew et al
08-25-2021	Backdoor Attacks on Network Certification via Data Poisoning by Tobias Lorenz et al
08-25-2021	Adaptive Control of Differentially Private Linear Quadratic Systems by Sayak Ray Chowdhury et al
08-24-2021	Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health by Guodong Long et al
08-24-2021	GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations by Yash Kumar et al
08-27-2021	Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework by Ammar Mansoor Kamoona et al
08-27-2021	Improving callsign recognition with air-surveillance data in air-traffic communication by Iuliia Nigmatulina et al
08-24-2021	Counterfactual Explainable Recommendation by Juntao Tan et al
08-24-2021	Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer by Bencheng Yan et al
08-26-2021	Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies by Sunipa Dev et al
08-26-2021	Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian by Baiyu Peng et al
08-26-2021	Machine Unlearning of Features and Labels by Alexander Warnecke et al
08-26-2021	Modeling Item Response Theory with Stochastic Variational Inference by Mike Wu et al
08-25-2021	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification by Simon Graham et al
08-25-2021	Clustering acoustic emission data streams with sequentially appearing clusters using mixture models by Emmanuel Ramasso et al
08-24-2021	From One to Many: A Deep Learning Coincident Gravitational-Wave Search by Marlin B. Schäfer et al
08-25-2021	Automatic Feature Highlighting in Noisy RES Data With CycleGAN by Nicholas Khami et al
08-24-2021	Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation by Samuel Cahyawijaya
08-24-2021	Data-Free Evaluation of User Contributions in Federated Learning by Hongtao Lv et al
08-26-2021	Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments by Luis Felipe Parra-Gallego et al
08-27-2021	Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR by Amrutha Prasad et al
08-24-2021	Pooling Architecture Search for Graph Classification by Lanning Wei et al
08-27-2021	Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting by Ling Chen et al
08-25-2021	Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach by Anirban Sarkar et al
08-26-2021	Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy by Nirupam Gupta et al
08-26-2021	Learning to Give Checkable Answers with Prover-Verifier Games by Cem Anil et al
08-26-2021	Anomaly Detection on IT Operation Series via Online Matrix Profile by Shi-Ying Lan et al
08-25-2021	Toward Formal Data Set Verification for Building Effective Machine Learning Models by Jorge López et al
08-24-2021	sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification by Gabriel Bénédict et al
08-24-2021	REFINE: Random RangE FInder for Network Embedding by Hao Zhu et al
08-26-2021	When should agents explore? by Miruna Pîslar et al
08-24-2021	Tree Decomposed Graph Neural Network by Yu Wang et al
08-24-2021	Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning by Sooyoung Jang et al
08-24-2021	Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment by Taotao Zhou et al
08-25-2021	Subgoal Search For Complex Reasoning Tasks by Konrad Czechowski et al
08-27-2021	Identification of Vehicle Dynamics Parameters Using Simulation-based Inference by Ali Boyali et al
08-24-2021	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision by Zirui Wang et al
08-25-2021	CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing by Daxuan Ren et al
08-27-2021	Graph-based Incident Aggregation for Large-Scale Online Service Systems by Zhuangbin Chen et al
08-24-2021	Adaptation-Agnostic Meta-Training by Jiaxin Chen et al
08-24-2021	A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections by Kianoush Falahkheirkhah et al
08-24-2021	Lossless Image Compression Using a Multi-Scale Progressive Statistical Model by Honglei Zhang et al
08-26-2021	Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification by Bruce Nguyen et al
08-24-2021	S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data by Shan Zhong et al
08-26-2021	Human readable network troubleshooting based on anomaly detection and feature scoring by Jose M. Navarro et al
08-25-2021	The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation by Xiaoming Zhao et al
08-24-2021	Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery by Xue Hu et al
08-26-2021	Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides by Ming Zhong et al
08-24-2021	Graph Neural Networks: Methods, Applications, and Opportunities by Lilapati Waikhom et al
08-25-2021	Robust Long-Tailed Learning under Label Noise by Tong Wei et al
08-25-2021	A New Interpolation Approach and Corresponding Instance-Based Learning by Shiyou Lian
08-27-2021	Provable Tensor-Train Format Tensor Completion by Riemannian Optimization by Jian-Feng Cai et al
08-26-2021	Machine Learning for Mediation in Armed Conflicts by M. Arana-Catania et al
08-24-2021	Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning by Ran Zhang et al
08-24-2021	Adversary agent reinforcement learning for pursuit-evasion by X. Huang
08-24-2021	A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training by Hiroaki Mikami et al
08-24-2021	Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds by Reza Godaz et al
08-25-2021	Inductive Matrix Completion Using Graph Autoencoder by Wei Shen et al
08-24-2021	Outdoor Position Recovery from HeterogeneousTelco Cellular Data by Yige Zhang et al
08-24-2021	GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus by Riadul Islam et al
08-27-2021	FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis by Arpita Gang et al
08-27-2021	DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning by Hossein Rajaby Faghihi et al
08-25-2021	Dropout against Deep Leakage from Gradients by Yanchong Zheng
08-24-2021	Interpretable deep-learning models to help achieve the Sustainable Development Goals by Ricardo Vinuesa et al
08-25-2021	A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits by Joel Q. L. Chang et al
08-27-2021	Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach by Sai Li et al
08-27-2021	Subjective Learning for Open-Ended Data by Tianren Zhang et al
08-27-2021	Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling by Raian Rahman et al
08-26-2021	The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers by Róbert Csordás et al
08-26-2021	Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems by Sahin Lale et al
08-24-2021	Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details by Sanket Jantre et al
08-24-2021	Wanderlust: Online Continual Object Detection in the Real World by Jianren Wang et al
08-25-2021	Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences by Stephen B. Menary et al
08-25-2021	Heavy-tailed Streaming Statistical Estimation by Che-Ping Tsai et al
08-25-2021	ETA Prediction with Graph Neural Networks in Google Maps by Austin Derrow-Pinion et al
08-26-2021	The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size by Hideaki Iiduka
08-24-2021	Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems by Gabriel Intriago et al
08-24-2021	Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank by Kishan Wimalawarne et al
08-25-2021	Learning GraphQL Query Costs (Extended Version) by Georgios Mavroudeas et al
08-24-2021	imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose by Thiemo Alldieck et al
08-24-2021	Unsupervised Depth Completion with Calibrated Backprojection Layers by Alex Wong et al
08-24-2021	Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models by Hala Hamdoun et al
08-24-2021	Data Aggregation for Reducing Training Data in Symbolic Regression by Lukas Kammerer et al
08-24-2021	On the Effectiveness of Genetic Operations in Symbolic Regression by Bogdan Burlacu et al