2022.2.28 Learning papers

02-23-2022	Flow-based sampling in the lattice Schwinger model at criticality by Michael S. Albergo et al
02-24-2022	All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL by Kai Arulkumaran et al
02-23-2022	Exploring Classic Quantitative Strategies by Jun Lu
02-23-2022	Bayesian Model Selection, the Marginal Likelihood, and Generalization by Sanae Lotfi et al
02-22-2022	FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators by Jaideep Pathak et al
02-25-2022	Gen\eLive! Generating Rhythm Actions in Love Live! by Atsushi Takada et al
02-23-2022	Diffractive optical system design by cascaded propagation by Boris Ferdman et al
02-24-2022	Auto-scaling Vision Transformers without Training by Wuyang Chen et al
02-22-2022	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers by Alyssa Lees et al
02-22-2022	ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints by Dhruv Shah et al
02-24-2022	Capturing Failures of Large Language Models via Human Cognitive Biases by Erik Jones et al
02-24-2022	BERTVision -- A Parameter-Efficient Approach for Question Answering by Siduo Jiang et al
02-24-2022	Overcoming a Theoretical Limitation of Self-Attention by David Chiang et al
02-23-2022	On the Omnipresence of Spurious Local Minima in Certain Neural Network Training Problems by Constantin Christof et al
02-24-2022	Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech by Quan Wang et al
02-24-2022	XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning by Marc-André Zöller et al
02-24-2022	Learning to Merge Tokens in Vision Transformers by Cedric Renggli et al
02-23-2022	Completely Quantum Neural Networks by Steve Abel et al
02-23-2022	COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics by Lianhui Qin et al
02-23-2022	First is Better Than Last for Training Data Influence by Chih-Kuan Yeh et al
02-23-2022	Globally Convergent Policy Search over Dynamic Filters for Output Estimation by Jack Umenberger et al
02-24-2022	Exploring the Unfairness of DP-SGD Across Settings by Frederik Noe et al
02-24-2022	Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review by Kyle Hamilton et al
02-24-2022	Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph by Dacheng Yin et al
02-22-2022	Neural Generalised AutoRegressive Conditional Heteroskedasticity by Zexuan Yin et al
02-25-2022	Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes by Yassine Yaakoubi et al
02-23-2022	Consistent Dropout for Policy Gradient Reinforcement Learning by Matthew Hausknecht et al
02-24-2022	Quantum Deep Reinforcement Learning for Robot Navigation Tasks by Dirk Heimann et al
02-22-2022	A duality connecting neural network and cosmological dynamics by Sven Krippendorf et al
02-24-2022	On Learning Mixture Models with Sparse Parameters by Arya Mazumdar et al
02-23-2022	Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data by Kevin P. Nguyen et al
02-23-2022	MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset by Dan Saattrup Nielsen et al
02-25-2022	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach by Boxiang Lyu et al
02-23-2022	Explanatory Paradigms in Neural Networks by Ghassan AlRegib et al
02-22-2022	Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet by Jean-Marc Valin et al
02-23-2022	Super-resolution GANs of randomly-seeded fields by Alejandro Güemes et al
02-23-2022	Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition by Varun Kanade et al
02-22-2022	Deep Reinforcement Learning: Opportunities and Challenges by Yuxi Li
02-23-2022	Physics-informed neural networks for inverse problems in supersonic flows by Ameya D. Jagtap et al
02-23-2022	Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors by Cameron Haigh et al
02-23-2022	Short-answer scoring with ensembles of pretrained language models by Christopher Ormerod
02-23-2022	Enabling arbitrary translation objectives with Adaptive Tree Search by Wang Ling et al
02-23-2022	Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks by Sayantan Auddy et al
02-24-2022	Solving optimization problems with Blackwell approachability by Julien Grand-Clément et al
02-22-2022	Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms by Rajarshi Saha et al
02-23-2022	When do GANs replicate? On the choice of dataset size by Qianli Feng et al
02-23-2022	Thermal hand image segmentation for biometric recognition by Xavier Font-Aragones et al
02-22-2022	MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms by Nima Mahmoudi et al
02-24-2022	An optimal scheduled learning rate for a randomized Kaczmarz algorithm by Nicholas F. Marshall et al
02-23-2022	Generative modeling via tensor train sketching by Y. Hur et al
02-24-2022	Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? by Alain Andres et al
02-23-2022	Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction by Aleksandr Katrutsa et al
02-23-2022	Sky Computing: Accelerating Geo-distributed Computing in Federated Learning by Jie Zhu et al
02-24-2022	Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge by Sharib Ali et al
02-24-2022	Finite-Sum Compositional Stochastic Optimization: Theory and Applications by Bokun Wang et al
02-22-2022	ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users by Dhruv Jain et al
02-23-2022	Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance by Nuri Mert Vural et al
02-23-2022	Residual Bootstrap Exploration for Stochastic Linear Bandit by Shuang Wu et al
02-23-2022	Augmentation based unsupervised domain adaptation by Mauricio Orbes-Arteaga et al
02-25-2022	Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods by P. F. Anotnietti et al
02-23-2022	Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits by Suprovat Ghoshal et al
02-25-2022	Do autoencoders need a bottleneck for anomaly detection? by Bang Xiang Yong et al
02-23-2022	Wide Mean-Field Bayesian Neural Networks Ignore the Data by Beau Coker et al
02-24-2022	Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations by Chih-Kuan Yeh et al
02-24-2022	Sequential Asset Ranking within Nonstationary Time Series by Gabriel Borrageiro et al
02-22-2022	Adaptive Cholesky Gaussian Processes by Simon Bartels et al
02-24-2022	A fair pricing model via adversarial learning by Grari Vincent et al
02-24-2022	Tighter Expected Generalization Error Bounds via Convexity of Information Measures by Gholamali Aminian et al
02-23-2022	Truncated LinUCB for Stochastic Linear Bandits by Yanglei Song et al
02-23-2022	A Note on Machine Learning Approach for Computational Imaging by Bin Dong
02-23-2022	Controlling Memorability of Face Images by Mohammad Younesi et al
02-23-2022	Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF by Jayneel Parekh et al
02-24-2022	Closing the Gap between Single-User and Multi-User VoiceFilter-Lite by Rajeev Rikhye et al
02-24-2022	Rare Gems: Finding Lottery Tickets at Initialization by Kartik Sreenivasan et al
02-23-2022	Learning Multi-Object Dynamics with Compositional Neural Radiance Fields by Danny Driess et al
02-23-2022	Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks by Mohd Siblee Islam et al
02-23-2022	Differentially Private Speaker Anonymization by Ali Shahin Shamsabadi et al
02-23-2022	Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four by Stephan Wäldchen et al
02-24-2022	Towards Effective and Robust Neural Trojan Defenses via Input Filtering by Kien Do et al
02-23-2022	Discovering Multiple and Diverse Directions for Cognitive Image Properties by Umut Kocasari et al
02-25-2022	DataLab: A Platform for Data Analysis and Intervention by Yang Xiao et al
02-25-2022	Biological error correction codes generate fault-tolerant neural networks by Alexander Zlokapa et al
02-23-2022	ML-based Anomaly Detection in Optical Fiber Monitoring by Khouloud Abdelli et al
02-22-2022	Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness by Carolyn Ashurst et al
02-24-2022	A general framework for adaptive two-index fusion attribute weighted naive Bayes by Xiaoliang Zhou et al
02-22-2022	The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image by Zhen Zhao et al
02-23-2022	Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics by Honghu Xue et al
02-23-2022	Systematic review of deep learning and machine learning for building energy by Ardabili Sina et al
02-23-2022	Finding Safe Zones of policies Markov Decision Processes by Lee Cohen et al
02-25-2022	Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain by Milad Moradi et al
02-24-2022	Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques by Mohit Kumar Ahuja et al
02-22-2022	Performance Modeling of Metric-Based Serverless Computing Platforms by Nima Mahmoudi et al
02-23-2022	Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function by Oliver E Richardson
02-25-2022	Building a 3-Player Mahjong AI using Deep Reinforcement Learning by Xiangyu Zhao et al
02-24-2022	Bidding Agent Design in the LinkedIn Ad Marketplace by Yuan Gao et al
02-24-2022	On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation by Lu Xia et al
02-25-2022	Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection by Bang Xiang Yong et al
02-23-2022	A modification of the conjugate direction method for motion estimation by Marcos Faundez-Zanuy et al
02-25-2022	Behaviorally Grounded Model-Based and Model Free Cost Reduction in a Simulated Multi-Echelon Supply Chain by James Paine
02-23-2022	Investigating the effect of binning on causal discovery by Andrew Colt Deckert et al
02-25-2022	ARIA: Adversarially Robust Image Attribution for Content Provenance by Maksym Andriushchenko et al
02-24-2022	Partitioned Variational Inference: A Framework for Probabilistic Federated Learning by Matthew Ashman et al
02-23-2022	On-line signature verification system with failure to enroll managing by Joan Fabregas et al
02-23-2022	On PAC-Bayesian reconstruction guarantees for VAEs by Badr-Eddine Chérief-Abdellatif et al
02-24-2022	A Transformer-based Network for Deformable Medical Image Registration by Yibo Wang et al
02-24-2022	Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance by Zhuoning Yuan et al
02-25-2022	Learning to Identify Perceptual Bugs in 3D Video Games by Benedict Wilkins et al
02-23-2022	Robust Geometric Metric Learning by Antoine Collas et al
02-24-2022	Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation by Pooya Ashtari et al
02-23-2022	No-Regret Learning in Games is Turing Complete by Gabriel P. Andrade et al
02-25-2022	NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs by Wen Zhang et al
02-23-2022	Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms by Monika Henzinger et al
02-24-2022	Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence by Zi-Hao Qiu et al
02-24-2022	Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing by Fuhong Song et al
02-24-2022	Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement by Karishma Sharma et al
02-24-2022	Embedded Ensembles: Infinite Width Limit and Operating Regimes by Maksim Velikanov et al
02-25-2022	Meta-Learning for Simple Regret Minimization by Mohammadjavad Azizi et al
02-25-2022	An initial alignment between neural network and target is needed for gradient descent to learn by Emmanuel Abbe et al
02-24-2022	Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement by Xiaofeng Liu et al
02-25-2022	AutoFR: Automated Filter Rule Generation for Adblocking by Hieu Le et al
02-22-2022	Blockchain Framework for Artificial Intelligence Computation by Jie You
02-22-2022	LPF-Defense: 3D Adversarial Defense based on Frequency Analysis by Hanieh Naderi et al
02-24-2022	Learn From the Past: Experience Ensemble Knowledge Distillation by Chaofei Wang et al
02-23-2022	Attainability and Optimality: The Equalized Odds Fairness Revisited by Zeyu Tang et al
02-24-2022	Measuring CLEVRness: Blackbox testing of Visual Reasoning Models by Spyridon Mouselinos et al
02-23-2022	EMOTHAW: A novel database for emotional state recognition from handwriting by Laurence Likforman-Sulem et al
02-24-2022	Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations by Muhammad Azmi Umer et al
02-25-2022	Data refinement for fully unsupervised visual inspection using pre-trained networks by Antoine Cordier et al
02-23-2022	Deep Learning Reproducibility and Explainable AI (XAI) by A. -M. Leventi-Peetz et al
02-23-2022	Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation by Joel Dyer et al
02-23-2022	Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning by Adina Zell et al
02-22-2022	Submodlib: A Submodular Optimization Library by Vishal Kaushal et al
02-25-2022	6D Rotation Representation For Unconstrained Head Pose Estimation by Thorsten Hempel et al
02-25-2022	Equilibrium Aggregation: Encoding Sets via Optimization by Sergey Bartunov et al
02-23-2022	Benefit of Interpolation in Nearest Neighbor Algorithms by Yue Xing et al
02-23-2022	NeuroView-RNN: Its About Time by CJ Barberan et al
02-25-2022	Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection by Thabang Mathonsi et al
02-23-2022	Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search by Chunhui Zhang et al
02-23-2022	Web of Scholars: A Scholar Knowledge Graph by Jiaying Liu et al
02-23-2022	Absolute Zero-Shot Learning by Rui Gao et al
02-23-2022	Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features by Stelios Boulitsakis-Logothetis
02-25-2022	Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects by Tobias Hatt et al
02-25-2022	An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data by Numan Saeed et al
02-25-2022	Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation by Di Wu et al
02-23-2022	Deep Bayesian ICP Covariance Estimation by Andrea De Maio et al
02-24-2022	Self-Training: A Survey by Massih-Reza Amini et al
02-23-2022	TEE-based decentralized recommender systems: The raw data sharing redemption by Akash Dhasade et al

02-22-2022	A Bayesian Deep Learning Approach to Near-Term Climate Prediction by Xihaier Luo et al
02-23-2022	Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks by Tim Whitaker et al
02-24-2022	Attention Enables Zero Approximation Error by Zhiying Fang et al
02-23-2022	Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning by Tiziano Fagni et al
02-24-2022	Counterfactual Explanations for Predictive Business Process Monitoring by Tsung-Hao Huang et al
02-23-2022	A comparative study of in-air trajectories at short and long distances in online handwriting by Carlos Alonso-Martinez et al
02-24-2022	Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity by Shiyun Xu et al
02-24-2022	Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions by Zhiying Fang et al
02-23-2022	Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying by Michal Yemini et al
02-23-2022	Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature by Guodao Zhang et al
02-24-2022	A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions by Federico Simonetta et al
02-23-2022	Learning Relative Return Policies With Upside-Down Reinforcement Learning by Dylan R. Ashley et al
02-24-2022	Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction by Rebecca Moussa et al
02-23-2022	A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence by Alex Dytso et al
02-24-2022	AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance by Fuad Ahmed et al
02-24-2022	A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions by Daniel Lundstrom et al
02-24-2022	Robust Probabilistic Time Series Forecasting by TaeHo Yoon et al
02-25-2022	Improving generalization with synthetic training data for deep learning based quality inspection by Antoine Cordier et al
02-25-2022	High-Dimensional Sparse Bayesian Learning without Covariance Matrices by Alexander Lin et al
02-23-2022	Exploratory Methods for Relation Discovery in Archival Data by Lucia Giagnolini et al
02-24-2022	Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction by Shengzhe Wang et al
02-25-2022	Improved Dual Correlation Reduction Network by Yue Liu et al
02-24-2022	Debugging Differential Privacy: A Case Study for Privacy Auditing by Florian Tramer et al
02-25-2022	Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice by Tobias Fissler et al
02-23-2022	Testing report of a fingerprint-based door-opening system by Marcos Faundez-Zanuy et al
02-22-2022	Learning to Combine Instructions in LLVM Compiler by Sandya Mannarswamy et al
02-23-2022	DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models by Alex H. Treacher et al
02-22-2022	Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study by Dushyant Sahoo et al
02-23-2022	Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark by Mohammad Arafat Ali Khan et al
02-22-2022	Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning by Hao He et al
02-24-2022	Physics solutions for machine learning privacy leaks by Alejandro Pozas-Kerstjens et al
02-25-2022	Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection by Matthew Levine
02-24-2022	Can deep neural networks learn process model structure? An assessment framework and analysis by Jari Peeperkorn et al
02-24-2022	Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition by Yunzheng Zhu et al
02-24-2022	Understanding Adversarial Robustness from Feature Maps of Convolutional Layers by Cong Xu et al
02-23-2022	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning by Chenjia Bai et al
02-25-2022	Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains by Haitao Liu et al
02-23-2022	Are All Linear Regions Created Equal? by Matteo Gamba et al
02-23-2022	Deepfake Detection for Facial Images with Facemasks by Donggeun Ko et al
02-22-2022	Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE) by Jason Tsay et al
02-23-2022	Towards Speaker Age Estimation with Label Distribution Learning by Shijing Si et al
02-23-2022	How Many Data Are Needed for Robust Learning? by Hongyang Zhang et al
02-24-2022	MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs by Wenrui Zhang et al
02-22-2022	Benchmarking Generative Latent Variable Models for Speech by Jakob D. Havtorn et al
02-25-2022	Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening by Teresa Araújo et al
02-23-2022	The Need for Interpretable Features: Motivation and Taxonomy by Alexandra Zytek et al
02-23-2022	Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes by Armin Lederer et al
02-24-2022	Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning by Valentino Servizi et al
02-24-2022	Is not the truth the truth?: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys by Valentino Servizi. et al
02-24-2022	Interfering Paths in Decision Trees: A Note on Deodata Predictors by Cristian Alb
02-23-2022	Comparative analysis of machine learning methods for active flow control by Fabio Pino et al
02-23-2022	An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks by Essam H. Houssein et al
02-25-2022	MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest by Shucen Ma et al
02-23-2022	Fast Sparse Classification for Generalized Linear and Additive Models by Jiachang Liu et al
02-23-2022	A Unified Framework for Campaign Performance Forecasting in Online Display Advertising by Jun Chen et al
02-22-2022	Evaluating Feature Attribution Methods in the Image Domain by Arne Gevaert et al
02-23-2022	Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation by Felipe Igea et al
02-24-2022	Activation Functions: Dive into an optimal activation function by Vipul Bansal
02-25-2022	Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision by Pantelis Elinas et al
02-25-2022	Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series by Hanif Heidari et al
02-23-2022	Learning Fast and Slow for Online Time Series Forecasting by Quang Pham et al
02-23-2022	Clustering Edges in Directed Graphs by Manohar Murthi et al
02-25-2022	Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting by Jiabin Tang et al
02-23-2022	Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks by Marvin Klimke et al
02-23-2022	Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting by Dazhao Du et al
02-24-2022	Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy by Karoliina T. Tapani et al
02-24-2022	SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP by Pierre Lambert et al
02-25-2022	Dynamic Regret of Online Mirror Descent for Relatively Smooth Convex Cost Functions by Nima Eshraghi et al
02-22-2022	FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing by Bhawana Chhaglani et al
02-22-2022	Model2Detector:Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps by Sumedh A Sontakke et al
02-24-2022	Sample Efficiency of Data Augmentation Consistency Regularization by Shuo Yang et al
02-24-2022	Bayesian Deep Learning for Graphs by Federico Errica
02-24-2022	Bounding Membership Inference by Anvith Thudi et al
02-24-2022	The effect of fatigue on the performance of online writer recognition by Enric Sesa-Nogueras et al
02-25-2022	Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs by Julian Ruddick et al
02-24-2022	Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood by Léo Gagnon et al
02-24-2022	Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health by Marcos Faundez-Zanuy et al
02-25-2022	PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine by Alexander Van Craen et al
02-23-2022	Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel by Haoran Zhang et al
02-24-2022	Optimal channel selection with discrete QCQP by Yeonwoo Jeong et al
02-25-2022	Raman Spectrum Matching with Contrastive Representation Learning by Bo Li et al
02-23-2022	Multivariate Quantile Function Forecaster by Kelvin Kan et al
02-25-2022	Towards Learning Causal Representations from Multi-Instance Bags by Weijia Zhang et al
02-24-2022	Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration by Ryan Soklaski et al
02-23-2022	Flat latent manifolds for music improvisation between human and machine by Nutan Chen et al
02-24-2022	Learning Transferable Reward for Query Object Localization with Policy Adaptation by Tingfeng Li et al
02-23-2022	A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality by Xuhui Zhang et al
02-24-2022	Learning Stochastic Dynamics with Statistics-Informed Neural Network by Yuanran Zhu et al
02-24-2022	A Fair Empirical Risk Minimization with Generalized Entropy by Youngmi Jin et al
02-24-2022	Fine-grained TLS Services Classification with Reject Option by Jan Luxemburk et al
02-24-2022	Predicting the impact of treatments over time with uncertainty aware neural differential equations by Edward De Brouwer et al
02-25-2022	On the Effectiveness of Dataset Watermarking in Adversarial Settings by Buse Gul Atli Tekgul et al
02-23-2022	Reconstruction of observed mechanical motions with Artificial Intelligence tools by Antal Jakovac et al
02-23-2022	Efficient CDF Approximations for Normalizing Flows by Chandramouli Shama Sastry et al
02-24-2022	Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection by L. Zancato et al
02-25-2022	Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression by Diksha Garg et al
02-22-2022	Exploring Edge Disentanglement for Node Classification by Tianxiang Zhao et al
02-22-2022	Continual Auxiliary Task Learning by Matthew McLeod et al
02-24-2022	Directed Graph Auto-Encoders by Georgios Kollias et al
02-23-2022	Privacy issues on biometric systems by Marcos Faundez-Zanuy
02-22-2022	Effect Identification in Cluster Causal Diagrams by Tara V. Anand et al
02-22-2022	Deep Recurrent Modelling of Granger Causality with Latent Confounding by Zexuan Yin et al
02-24-2022	Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection by Ting Long et al
02-22-2022	Exact Community Recovery over Signed Graphs by Xiaolu Wang et al
02-22-2022	Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring by Jingxin Zhang et al
02-23-2022	Biometric security technology by Marcos Faundez-Zanuy
02-24-2022	AutoIP: A United Framework to Integrate Physics into Gaussian Processes by Da Long et al
02-24-2022	Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health by Marcos Faundez-Zanuy et al
02-23-2022	FedCAT: Towards Accurate Federated Learning via Device Concatenation by Ming Hu et al
02-22-2022	Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks by Soumyasundar Pal et al
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02-24-2022	Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs by Justin Baker et al
02-25-2022	Reachability analysis in stochastic directed graphs by reinforcement learning by Corrado Possieri et al
02-25-2022	HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction by Chongjian Yue et al
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02-23-2022	Deep Graph Learning for Anomalous Citation Detection by Jiaying Liu et al
02-25-2022	Consolidated Adaptive T-soft Update for Deep Reinforcement Learning by Taisuke Kobayashi
02-25-2022	A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation by Rezaur Rahman et al
02-22-2022	Arbitrary Shape Text Detection using Transformers by Zobeir Raisi et al
02-24-2022	Standard Deviation-Based Quantization for Deep Neural Networks by Amir Ardakani et al
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02-23-2022	State-of-the-art in speaker recognition by Marcos Faundez-Zanuy et al
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02-24-2022	Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks by Jangho Park et al
02-24-2022	On Learning and Testing of Counterfactual Fairness through Data Preprocessing by Haoyu Chen et al
02-24-2022	Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach by Nathalie Baracaldo et al
02-22-2022	Margin-distancing for safe model explanation by Tom Yan et al
02-22-2022	Designing Decision Support Systems for Emergency Response: Challenges and Opportunities by Geoffrey Pettet et al
02-23-2022	Training Adaptive Reconstruction Networks for Inverse Problems by Alban Gossard et al
02-22-2022	Classification of Computer Aided Engineering (CAE) Parts Using Graph Convolutional Networks by Alok Warey et al
02-22-2022	Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup by Hasan Asyari Arief et al
02-23-2022	A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting by Benhan Li et al
02-24-2022	Cutting Some Slack for SGD with Adaptive Polyak Stepsizes by Robert M. Gower et al
02-22-2022	Differentiable and Learnable Robot Models by Franziska Meier et al
02-23-2022	Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization by Jaehong Yoon et al
02-25-2022	Context-Hierarchy Inverse Reinforcement Learning by Wei Gao et al
02-22-2022	Parallel MCMC Without Embarrassing Failures by Daniel Augusto de Souza et al
02-24-2022	Estimators of Entropy and Information via Inference in Probabilistic Models by Feras A. Saad et al
02-23-2022	The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices by Yi Sheng et al
02-22-2022	Multi-fidelity reinforcement learning framework for shape optimization by Sahil Bhola et al
02-24-2022	Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies by Stephen Gould et al
02-23-2022	FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks by Maksim Zubkov et al
02-24-2022	Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model by Cunzhi Zhao et al
02-22-2022	Early Stage Diabetes Prediction via Extreme Learning Machine by Nelly Elsayed et al
02-22-2022	No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling by Eric Neyman et al
02-24-2022	Learning Invariant Weights in Neural Networks by Tycho F. A. van der Ouderaa et al
02-24-2022	Thompson Sampling with Unrestricted Delays by Han Wu et al
02-23-2022	Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum by Francesco Malandrino et al
02-22-2022	Learning Neural Networks under Input-Output Specifications by Zain ul Abdeen et al
02-24-2022	Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection by Wenrui Zhang et al