2021.8.16 Learning papers

08-10-2021	FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning by Haoyu Zhao et al
08-12-2021	Reimagining an autonomous vehicle by Jeffrey Hawke et al
08-12-2021	The Contextual Appointment Scheduling Problem by Nima Salehi Sadghiani et al
08-11-2021	Ontology drift is a challenge for explainable data governance by Jiahao Chen
08-10-2021	Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay by Jihao Long et al
08-12-2021	A Contract Theory based Incentive Mechanism for Federated Learning by Mengmeng Tian et al
08-11-2021	Towards data-driven filters in Paraview by Drishti Maharjan et al
08-12-2021	Conditional Sequential Slate Optimization by Yipeng Zhang et al
08-10-2021	SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version) by Nils Lukas et al
08-10-2021	PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage by Daniel Scheliga et al
08-10-2021	Correlation Clustering Reconstruction in Semi-Adversarial Models by Flavio Chierichetti et al
08-12-2021	Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases by Tae Ha Park et al
08-12-2021	Fair Decision-Making for Food Inspections by Shubham Singh et al
08-12-2021	Efficient Local Planning with Linear Function Approximation by Dong Yin et al
08-10-2021	Post-hoc Interpretability for Neural NLP: A Survey by Andreas Madsen et al
08-10-2021	Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion by Alessandro Suglia et al
08-13-2021	Towards Structured Dynamic Sparse Pre-Training of BERT by Anastasia Dietrich et al
08-11-2021	Learning Oculomotor Behaviors from Scanpath by Beibin Li et al
08-12-2021	Towards Interpretable Deep Metric Learning with Structural Matching by Wenliang Zhao et al
08-12-2021	Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations by Josh Beal et al
08-12-2021	On minimal representations of shallow ReLU networks by S. Dereich et al
08-12-2021	DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity by Jonas Geiping et al
08-11-2021	Seven challenges for harmonizing explainability requirements by Jiahao Chen et al
08-13-2021	Random Subspace Mixture Models for Interpretable Anomaly Detection by Cetin Savkli et al
08-13-2021	Understanding Structural Vulnerability in Graph Convolutional Networks by Liang Chen et al
08-11-2021	An Approach to Partial Observability in Games: Learning to Both Act and Observe by Elizabeth Gilmour et al
08-12-2021	Feature Engineering with Regularity Structures by Ilya Chevyrev et al
08-12-2021	Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates by Srikanth Chandar et al
08-13-2021	Bridging the gap between emotion and joint action by M. M. N. Bieńkiewicz et al
08-13-2021	Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning by Lukas Brunke et al
08-12-2021	Mobile-Former: Bridging MobileNet and Transformer by Yinpeng Chen et al
08-12-2021	MicroNet: Improving Image Recognition with Extremely Low FLOPs by Yunsheng Li et al
08-12-2021	Page-level Optimization of e-Commerce Item Recommendations by Chieh Lo et al
08-12-2021	MT-ORL: Multi-Task Occlusion Relationship Learning by Panhe Feng et al
08-10-2021	LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising by Jinsung Jeon et al
08-11-2021	Cooperative Learning for Noisy Supervision by Hao Wu et al
08-10-2021	A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction by Farzaneh Esmaili et al
08-11-2021	Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks by Young Ah Choi et al
08-11-2021	Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction by Christian Brownlees et al
08-11-2021	Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback by Xiaofei Wang et al
08-11-2021	Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems by Yu Huang et al
08-11-2021	Weakly Supervised Medical Image Segmentation by Pedro H. T. Gama et al
08-11-2021	Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning? by Zhaoming Qin et al
08-11-2021	Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation by Jianning Li et al
08-11-2021	DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks by Peide Cai et al
08-10-2021	Multi-Factors Aware Dual-Attentional Knowledge Tracing by Moyu Zhang et al
08-12-2021	m-RevNet: Deep Reversible Neural Networks with Momentum by Duo Li et al
08-12-2021	Engineering an Efficient Boolean Functional Synthesis Engine by Priyanka Golia et al
08-10-2021	A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions by Arnulf Jentzen et al
08-11-2021	Natural Language-guided Programming by Geert Heyman et al
08-13-2021	A reduced-order modeling framework for simulating signatures of faults in a bladed disk by Divya Shyam Singh et al
08-11-2021	Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization by Wei Zhu et al
08-11-2021	Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice by Jiahao Chen et al
08-11-2021	Putting RDF2vec in Order by Jan Portisch et al
08-13-2021	MIND - Mainstream and Independent News Documents Corpus by Danielle Caled et al
08-10-2021	How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation? by Mahdi Pourmirzaei et al
08-12-2021	Distributional Depth-Based Estimation of Object Articulation Models by Ajinkya Jain et al
08-10-2021	U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations by Yichi Zhang et al
08-10-2021	Analysis of ODE2VAE with Examples by Batuhan Koyuncu
08-12-2021	Datasets for Studying Generalization from Easy to Hard Examples by Avi Schwarzschild et al
08-13-2021	Learning Transferable Parameters for Unsupervised Domain Adaptation by Zhongyi Han et al
08-10-2021	Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential by Simon Axelrod et al
08-10-2021	Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth by Andrei Patrascu et al
08-13-2021	Online Fairness-Aware Learning with Imbalanced Data Streams by Vasileios Iosifidis et al
08-11-2021	ULTRA: An Unbiased Learning To Rank Algorithm Toolbox by Anh Tran et al
08-13-2021	Jasmine: A New Active Learning Approach to Combat Cybercrime by Jan Klein et al
08-12-2021	A functional mirror ascent view of policy gradient methods with function approximation by Sharan Vaswani et al
08-12-2021	AffRankNet+: Ranking Affect Using Privileged Information by Konstantinos Makantasis
08-10-2021	Learning to Maximize Influence by George Panagopoulos et al
08-11-2021	Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder by Hanwen Liang et al
08-11-2021	PLEX: Towards Practical Learned Indexing by Mihail Stoian et al
08-10-2021	Optimal learning of quantum Hamiltonians from high-temperature Gibbs states by Jeongwan Haah et al
08-10-2021	Retiring Adult: New Datasets for Fair Machine Learning by Frances Ding et al
08-10-2021	Simple black-box universal adversarial attacks on medical image classification based on deep neural networks by Kazuki Koga et al
08-10-2021	The Benefits of Implicit Regularization from SGD in Least Squares Problems by Difan Zou et al
08-12-2021	Semantics-Native Communication with Contextual Reasoning by Hyowoon Seo et al
08-10-2021	AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection by Xiaoran Fan et al
08-13-2021	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation by Chenyu You et al
08-12-2021	FreaAI: Automated extraction of data slices to test machine learning models by Samuel Ackerman et al
08-12-2021	Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets by Nitin Gupta et al
08-10-2021	Active Learning for Transition State Calculation by Shuting Gu et al
08-12-2021	perf4sight: A toolflow to model CNN training performance on Edge GPUs by Aditya Rajagopal et al
08-10-2021	ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer by Boseung Jeong et al
08-10-2021	A Survey on Deep Reinforcement Learning for Data Processing and Analytics by Qingpeng Cai et al
08-11-2021	Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models by Anastasia Dunca et al
08-12-2021	An Information-theoretic Perspective of Hierarchical Clustering by Yicheng Pan et al
08-10-2021	Crowdsourced Databases and Sui Generis Rights by Gonçalo Simões de Almeida et al
08-11-2021	Overview of the TREC 2020 Fair Ranking Track by Asia J. Biega et al
08-10-2021	Attention-like feature explanation for tabular data by Andrei V. Konstantinov et al
08-10-2021	Label-informed Graph Structure Learning for Node Classification by Liping Wang et al
08-12-2021	Charts and atlases for nonlinear data-driven models of dynamics on manifolds by Daniel Floryan et al
08-10-2021	Self-supervised Consensus Representation Learning for Attributed Graph by Changshu Liu et al
08-12-2021	Reinforcement Learning Approach to Active Learning for Image Classification by Thorben Werner
08-11-2021	Deep Learning Classification of Lake Zooplankton by S. P. Kyathanahally et al
08-10-2021	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition by Tailin Chen et al
08-12-2021	Deep Microlocal Reconstruction for Limited-Angle Tomography by Héctor Andrade-Loarca et al
08-11-2021	Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery by Chitra Agastya et al
08-10-2021	An empirical investigation into audio pipeline approaches for classifying bird species by David Behr et al
08-10-2021	AdaRNN: Adaptive Learning and Forecasting of Time Series by Yuntao Du et al

08-12-2021	Logit Attenuating Weight Normalization by Aman Gupta et al
08-12-2021	Agnostic Online Learning and Excellent Sets by Maryanthe Malliaris et al
08-12-2021	Graph Trend Networks for Recommendations by Wenqi Fan et al
08-12-2021	Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning by Md. Mohsin Sarker Raihan et al
08-12-2021	Alzheimers Disease Diagnosis via Deep Factorization Machine Models by Raphael Ronge et al
08-12-2021	How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers by Marharyta Aleksandrova et al
08-10-2021	Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey by Zefang Zong et al
08-12-2021	Using Machine Learning to Predict Engineering Technology Students Success with Computer Aided Design by Jasmine Singh et al
08-10-2021	Causal Order Identification to Address Confounding: Binary Variables by Joe Suzuki et al
08-11-2021	Parallel algorithms for mining of frequent itemsets by Robert Kessl
08-11-2021	Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms by Anahita Samadi et al
08-11-2021	Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather by Martin Hahner et al
08-11-2021	Learning strange attractors with reservoir systems by Lyudmila Grigoryeva et al
08-13-2021	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback by Haoming Li et al
08-10-2021	A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models by Zehao Yu et al
08-10-2021	Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders by Brian Ning et al
08-13-2021	Spatio-Temporal Split Learning by Joongheon Kim et al
08-12-2021	Room Classification on Floor Plan Graphs using Graph Neural Networks by Abhishek Paudel et al
08-12-2021	ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting by Yu Huang et al
08-12-2021	PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management by Jiarui Fang et al
08-10-2021	On the Distinction Between Conditional Average Treatment Effects (CATE) and Individual Treatment Effects (ITE) Under Ignorability Assumptions by Brian G. Vegetabile
08-13-2021	MeetSum: Transforming Meeting Transcript Summarization using Transformers! by Nima Sadri et al
08-11-2021	DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models by Wenxiao Chen et al
08-11-2021	Truncated Emphatic Temporal Difference Methods for Prediction and Control by Shangtong Zhang et al
08-11-2021	Convergence bounds for nonlinear least squares and applications to tensor recovery by Philipp Trunschke
08-10-2021	ABC-FL: Anomalous and Benign client Classification in Federated Learning by Hyejun Jeong et al
08-11-2021	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition by Weishen Pan et al
08-11-2021	Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data by Kuluhan Binici et al
08-13-2021	Data-driven advice for interpreting local and global model predictions in bioinformatics problems by Markus Loecher et al
08-12-2021	Implicit Sparse Regularization: The Impact of Depth and Early Stopping by Jiangyuan Li et al
08-11-2021	Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems by Laurel Orr et al
08-11-2021	Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning by Xin Zhou et al
08-12-2021	Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers by Anh Tran
08-12-2021	An Operator Splitting View of Federated Learning by Saber Malekmohammadi et al
08-13-2021	Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble by Prithiviraj Damodaran et al
08-10-2021	An Image-based Generator Architecture for Synthetic Image Refinement by Alex Nasser
08-12-2021	Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization by Amir Yazdani et al
08-12-2021	Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction by Edoardo Mello Rella et al
08-10-2021	Imitation Learning by Reinforcement Learning by Kamil Ciosek
08-10-2021	Bandit Algorithms for Precision Medicine by Yangyi Lu et al
08-10-2021	Decentralized Composite Optimization with Compression by Yao Li et al
08-11-2021	Logic Explained Networks by Gabriele Ciravegna et al
08-11-2021	Correlation Clustering with Asymmetric Classification Errors by Jafar Jafarov et al
08-10-2021	Regularized Sequential Latent Variable Models with Adversarial Neural Networks by Jin Huang et al
08-11-2021	Machine Learning Model Drift Detection Via Weak Data Slices by Samuel Ackerman et al
08-13-2021	Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments by Vasilii Davydov et al
08-10-2021	Binary Complex Neural Network Acceleration on FPGA by Hongwu Peng et al
08-10-2021	Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior by Noriyuki Kojima et al
08-11-2021	Fairness Through Counterfactual Utilities by Jack Blandin et al
08-13-2021	Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition by Yang Guo et al
08-13-2021	FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning by Nam Hyeon-Woo et al
08-13-2021	Low-Resource Adaptation of Open-Domain Generative Chatbots by Greyson Gerhard-Young et al
08-13-2021	Continual Backprop: Stochastic Gradient Descent with Persistent Randomness by Shibhansh Dohare et al
08-10-2021	Adaptive Multi-Resolution Attention with Linear Complexity by Yao Zhang et al
08-12-2021	Multimodal analysis of the predictability of hand-gesture properties by Taras Kucherenko et al
08-12-2021	Dynamic Attention-based Communication-Efficient Federated Learning by Zihan Chen et al
08-10-2021	High Quality Related Search Query Suggestions using Deep Reinforcement Learning by Praveen Kumar Bodigutla
08-11-2021	Estimation of Fair Ranking Metrics with Incomplete Judgments by Ömer Kırnap et al
08-11-2021	Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack by Zitao Chen et al
08-12-2021	RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform by Youxuan Ma et al
08-10-2021	Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston by Lahari Karadla et al
08-11-2021	ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study by Sven Mantowsky et al
08-12-2021	Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation by Antyanta Bangunharcana et al
08-12-2021	Learning from Matured Dumb Teacher for Fine Generalization by HeeSeung Jung et al
08-12-2021	HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations by Anson Bastos et al
08-10-2021	Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP by Jayanta Mandi et al
08-10-2021	MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision by Ben Usman et al
08-11-2021	Seismic wave propagation and inversion with Neural Operators by Yan Yang et al
08-13-2021	EEEA-Net: An Early Exit Evolutionary Neural Architecture Search by Chakkrit Termritthikun et al
08-13-2021	Robustness testing of AI systems: A case study for traffic sign recognition by Christian Berghoff et al
08-13-2021	Adaptive Positive-Unlabelled Learning via Markov Diffusion by Paola Stolfi et al
08-10-2021	Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning by Dongil Shin et al
08-10-2021	Meta-repository of screening mammography classifiers by Benjamin Stadnick et al
08-13-2021	One-shot Transfer Learning for Population Mapping by Erzhuo Shao et al
08-13-2021	Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training by Conglong Li et al
08-13-2021	TDM: Trustworthy Decision-Making via Interpretability Enhancement by Daoming Lyu et al
08-10-2021	Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques by Arnav Bhakta et al
08-10-2021	Deep Pairwise Learning To Rank For Search Autocomplete by Kai Yuan et al
08-14-2021	Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations by Lei Deng et al
08-12-2021	Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought by Fouzia Altaf et al
08-12-2021	The paradox of the compositionality of natural language: a neural machine translation case study by Verna Dankers et al
08-13-2021	Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification by Shyam A. Tailor et al
08-11-2021	Controlling the False Split Rate in Tree-Based Aggregation by Simeng Shao et al
08-11-2021	Local Correlation Clustering with Asymmetric Classification Errors by Jafar Jafarov et al
08-10-2021	The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data by Natália V. N. Rodrigues et al
08-10-2021	Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future by Andreas Maier et al
08-12-2021	Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimers disease classification by Wouter van Loon et al
08-10-2021	On Learning and Testing Decision Tree by Nader H. Bshouty et al
08-10-2021	UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks by NareshKumar Gurulingan et al
08-10-2021	Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems by Fabio Bonassi et al
08-11-2021	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks by Yushun Dong et al
08-13-2021	Context Aware Object Geotagging by Chao-Jung Liu et al
08-11-2021	Gap-Dependent Unsupervised Exploration for Reinforcement Learning by Jingfeng Wu et al
08-11-2021	Learning to Hash Robustly, with Guarantees by Alexandr Andoni et al
08-11-2021	The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study by Mohammad Masudur Rahman et al
08-12-2021	DexMV: Imitation Learning for Dexterous Manipulation from Human Videos by Yuzhe Qin et al
08-10-2021	Flow-based SVDD for anomaly detection by Marcin Sendera et al
08-13-2021	Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions by Hrishav Bakul Barua et al
08-10-2021	MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam by Ashild Kummen et al
08-11-2021	A Better Loss for Visual-Textual Grounding by Davide Rigoni et al
08-10-2021	R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes by Stefano Gasperini et al