2021.8.2 Learning papers

02-03-2021	Embodied Intelligence via Learning and Evolution by Agrim Gupta et al
02-02-2021	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics by Sebastian Gehrmann et al
02-04-2021	Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models by Alex Tamkin et al
02-04-2021	Unifying Vision-and-Language Tasks via Text Generation by Jaemin Cho et al
02-03-2021	When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data by Peter Hase et al
02-05-2021	baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling by Michael A. Alcorn et al
02-02-2021	Metrics and continuity in reinforcement learning by Charline Le Lan et al
02-02-2021	A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks by Atefeh Shahroudnejad
02-02-2021	Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization by Kale-ab Tessera et al
02-05-2021	ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision by Wonjae Kim et al
02-03-2021	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records by Zhen Xu et al
02-03-2021	Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC by Priyank Jaini et al
02-02-2021	Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search by Federico A. Galatolo et al
02-04-2021	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency by Seokju Lee et al
02-02-2021	Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation by Rikiya Yamashita et al
02-04-2021	Controlling Hallucinations at Word Level in Data-to-Text Generation by Clément Rebuffel et al
02-02-2021	Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis by Yang Wen
02-02-2021	Capacity and quantum geometry of parametrized quantum circuits by Tobias Haug et al
02-03-2021	Cleora: A Simple, Strong and Scalable Graph Embedding Scheme by Barbara Rychalska et al
02-03-2021	No-reference denoising of low-dose CT projections by Elvira Zainulina et al
02-03-2021	A Universal Framework for Featurization of Atomistic Systems by Xiangyun Lei et al
02-02-2021	Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym by Matthew E. Taylor et al
02-04-2021	Hybrid Adversarial Inverse Reinforcement Learning by Mingqi Yuan et al
02-04-2021	Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review by Dongrui Wu et al
02-02-2021	TAD: Trigger Approximation based Black-box Trojan Detection for AI by Xinqiao Zhang et al
02-03-2021	Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised by Viviane Clay et al
02-04-2021	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models by Yugeng Liu et al
02-04-2021	Deep learning-based synthetic-CT generation in radiotherapy and PET: a review by Maria Francesca Spadea et al
02-03-2021	Variance Penalized On-Policy and Off-Policy Actor-Critic by Arushi Jain et al
02-04-2021	TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors by Umaseh Sivanesan et al
02-04-2021	SelfNorm and CrossNorm for Out-of-Distribution Robustness by Zhiqiang Tang et al
02-03-2021	Neural Recursive Belief States in Multi-Agent Reinforcement Learning by Pol Moreno et al
02-05-2021	PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers by Chaoyang He et al
02-04-2021	Transfer Learning in Bandits with Latent Continuity by Hyejin Park et al
02-02-2021	Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization by Alexander Korotin et al
02-03-2021	Learning Diverse-Structured Networks for Adversarial Robustness by Xuefeng Du et al
02-02-2021	Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks by Qianqian Zhang et al
02-02-2021	Towards Robust Neural Networks via Close-loop Control by Zhuotong Chen et al
02-05-2021	Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity by Jang-Hyun Kim et al
02-05-2021	Deep reinforcement learning for smart calibration of radio telescopes by Sarod Yatawatta et al
02-04-2021	The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System by Der-Chen Chang et al
02-04-2021	A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate by Hongwei Guo et al
02-03-2021	Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms by Rishabh Goyal et al
02-02-2021	Deep Autoencoder-based Fuzzy C-Means for Topic Detection by Hendri Murfi et al
02-02-2021	Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation by Aparna Elangovan et al
02-02-2021	DLpN: Single-Shell NODDI Using Deep Learner Estimated Isotropic Volume Fraction by Abrar Faiyaz et al
02-03-2021	Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram by Shengkui Zhao et al
02-03-2021	Trusted Multi-View Classification by Zongbo Han et al
02-03-2021	Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms by Gholamali Aminian et al
02-04-2021	Exploring Scale-Measures of Data Sets by Tom Hanika et al
02-03-2021	Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting by Vinod K Kurmi et al
02-02-2021	Impact of Data Processing on Fairness in Supervised Learning by Sajad Khodadadian et al
02-03-2021	Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss by Huiyuan Deng et al
02-02-2021	Dermo-DOCTOR: A web application for detection and recognition of the skin lesion using a deep convolutional neural network by Md. Kamrul Hasan et al
02-03-2021	Frank-Wolfe with a Nearest Extreme Point Oracle by Dan Garber et al
02-02-2021	Mining Feature Relationships in Data by Andrew Lensen
02-04-2021	Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback by Song Fang et al
02-04-2021	Universal Approximation Theorems of Fully Connected Binarized Neural Networks by Mikail Yayla et al
02-02-2021	Fast Exploration of Weight Sharing Opportunities for CNN Compression by Etienne Dupuis et al
02-03-2021	An efficient optimization based microstructure reconstruction approach with multiple loss functions by Anindya Bhaduri et al
02-04-2021	1-bit Adam: Communication Efficient Large-Scale Training with Adams Convergence Speed by Hanlin Tang et al
02-03-2021	Multi-Instance Learning by Utilizing Structural Relationship among Instances by Yangling Ma et al
02-03-2021	Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond by Guang Yang et al
02-04-2021	Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids by Vittorio Lippi
02-05-2021	Optimal Transport as a Defense Against Adversarial Attacks by Quentin Bouniot et al
02-02-2021	Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms by Swarajya Lakshmi V Papineni et al
02-03-2021	Length Learning for Planar Euclidean Curves by Barak Or et al
02-03-2021	A Bayesian Neural Network based on Dropout Regulation by Claire Theobald et al
02-04-2021	Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction by Bhagya Hettige et al
02-03-2021	Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning by Huan Chang et al
02-02-2021	Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT by Francesco Paissan et al
02-03-2021	Digital twins based on bidirectional LSTM and GAN for modelling COVID-19 by César Quilodrán-Casas et al
02-02-2021	aura-net : robust segmentation of phase-contrast microscopy images with few annotations by Ethan Cohen et al
02-02-2021	Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition by Zhong Meng et al
02-03-2021	Nearest Neighbor-based Importance Weighting by Marco Loog
02-04-2021	Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning by Vincent M. D'Anniballe et al
02-02-2021	Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning by Letian Zhang et al
02-04-2021	EFloat: Entropy-coded Floating Point Format for Deep Learning by Rajesh Bordawekar et al
02-03-2021	A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network by Mo Zhou et al
02-04-2021	An end-to-end trainable hybrid classical-quantum classifier by Samuel Yen-Chi Chen et al
02-02-2021	An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours by Pierre El Mqirmi et al
02-02-2021	Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review by Juan Miguel Valverde et al
02-03-2021	Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models by Shang Wang et al
02-02-2021	Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network by Praneet Singh et al
02-03-2021	Isometric Propagation Network for Generalized Zero-shot Learning by Lu Liu et al
02-02-2021	AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices by Nafiul Rashid et al
02-03-2021	Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out by Peiran Yao et al
02-02-2021	Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games by Steve Hanneke et al
02-02-2021	Towards a reinforcement learning de novo genome assembler by Kleber Padovani et al
02-04-2021	Alchemy: A structured task distribution for meta-reinforcement learning by Jane X. Wang et al
02-02-2021	Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning by Kai Cui et al
02-04-2021	Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models by Mojtaba Abolfazli et al
02-03-2021	General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework by Yucheng Zhao et al
02-05-2021	Matrix Decomposition on Graphs: A Functional View by Abhishek Sharma et al
02-03-2021	On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function by Gellert Weisz et al
02-05-2021	GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning by Sixing Yu et al

02-03-2021	Provably End-to-end Label-Noise Learning without Anchor Points by Xuefeng Li et al
02-02-2021	Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism by Constantin Seibold et al
02-02-2021	Recent Advances in Adversarial Training for Adversarial Robustness by Tao Bai et al
02-05-2021	Deceptive Reinforcement Learning for Privacy-Preserving Planning by Zhengshang Liu et al
02-03-2021	AttentionFlow: Visualising Influence in Networks of Time Series by Minjeong Shin et al
02-03-2021	Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services by Léa Ricard et al
02-05-2021	Active Slices for Sliced Stein Discrepancy by Wenbo Gong et al
02-02-2021	Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation by Mingke Xu et al
02-04-2021	Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots by Srivatsan Krishnan et al
02-02-2021	Provably Secure Federated Learning against Malicious Clients by Xiaoyu Cao et al
02-02-2021	Graph Coarsening with Neural Networks by Chen Cai et al
02-02-2021	Size Matters by Mats L. Richter et al
02-02-2021	Automatic analysis of artistic paintings using information-based measures by Jorge Miguel Silva et al
02-03-2021	Hybrid consistency and plausibility verification of product data according to FIC by Christian Schorr
02-04-2021	CKConv: Continuous Kernel Convolution For Sequential Data by David W. Romero et al
02-03-2021	CountSketches, Feature Hashing and the Median of Three by Kasper Green Larsen et al
02-02-2021	Federated Learning in Smart Cities: A Comprehensive Survey by Zhaohua Zheng et al
02-03-2021	On the Approximation Power of Two-Layer Networks of Random ReLUs by Daniel Hsu et al
02-03-2021	Time Series Classification via Topological Data Analysis by Alperen Karan et al
02-02-2021	Analyzing the barren plateau phenomenon in training quantum neural network with the ZX-calculus by Chen Zhao et al
02-04-2021	Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Dont be Afraid of Outliers by Jianhao Ma et al
02-03-2021	Variational Inference for Deblending Crowded Starfields by Runjing Liu et al
02-05-2021	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint by Tongxue Zhou et al
02-03-2021	A Scalable Two Stage Approach to Computing Optimal Decision Sets by Alexey Ignatiev et al
02-04-2021	Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling by Mahshad Lotfinia et al
02-03-2021	Outlier-Robust Learning of Ising Models Under Dobrushins Condition by Ilias Diakonikolas et al
02-04-2021	HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks by Yuanyuan Chen et al
02-02-2021	Causal Collaborative Filtering by Shuyuan Xu et al
02-04-2021	DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks by Chong Xiang et al
02-02-2021	Vehicle trajectory prediction in top-view image sequences based on deep learning method by Zahra Salahshoori Nejad et al
02-02-2021	Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation by Yi-Shiou Duh et al
02-04-2021	Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning by Ekdeep Singh Lubana et al
02-02-2021	Building population models for large-scale neural recordings: opportunities and pitfalls by Cole Hurwitz et al
02-02-2021	Unassisted Noise Reduction of Chemical Reaction Data Sets by Alessandra Toniato et al
02-02-2021	Its always personal: Using Early Exits for Efficient On-Device CNN Personalisation by Ilias Leontiadis et al
02-05-2021	Removing biased data to improve fairness and accuracy by Sahil Verma et al
02-02-2021	Apollo: Transferable Architecture Exploration by Amir Yazdanbakhsh et al
02-04-2021	Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach by Gang Min et al
02-05-2021	Interpretable Neural Networks based classifiers for categorical inputs by Stefano Zamuner et al
02-03-2021	Object and Relation Centric Representations for Push Effect Prediction by Ahmet E. Tekden et al
02-02-2021	Benchmarking Quantized Neural Networks on FPGAs with FINN by Quentin Ducasse et al
02-02-2021	Symmetric Boolean Factor Analysis with Applications to InstaHide by Sitan Chen et al
02-02-2021	Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study by Corentin Martens et al
02-02-2021	Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder by Longyuan Li et al
02-04-2021	Dual-embedding based Neural Collaborative Filtering for Recommender Systems by Gongshan He et al
02-03-2021	IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks by Yixiang Wang et al
02-05-2021	Sparse Reward Exploration via Novelty Search and Emitters by Giuseppe Paolo et al
02-02-2021	A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds by Ramith Hettiarachchi et al
02-03-2021	Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification by Achintya Kumar Sarkar et al
02-02-2021	U-LanD: Uncertainty-Driven Video Landmark Detection by Mohammad H. Jafari et al
02-03-2021	Focusing Knowledge-based Graph Argument Mining via Topic Modeling by Patrick Abels et al
02-04-2021	Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching by Mingi Ji et al
02-04-2021	Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images by Jiasong Chen et al
02-02-2021	Predicting Propensity to Vote with Machine Learning by Rebecca D. Pollard et al
02-04-2021	Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs by Jason D. McEwen et al
02-02-2021	Organization of a Latent Space structure in VAE/GAN trained by navigation data by Hiroki Kojima et al
02-03-2021	Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses by Shengkui Zhao et al
02-02-2021	Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks by Florian Wirthmüller et al
02-02-2021	Near-Optimal Offline Reinforcement Learning via Double Variance Reduction by Ming Yin et al
02-04-2021	Hawkes Processes on Graphons by Hongteng Xu et al
02-04-2021	Invertible DenseNets with Concatenated LipSwish by Yura Perugachi-Diaz et al
02-02-2021	Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning by Patrick Reiser et al
02-04-2021	Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency by Masatoshi Uehara et al
02-04-2021	Disambiguation of weak supervision with exponential convergence rates by Vivien Cabannes et al
02-02-2021	Graph Classification Based on Skeleton and Component Features by Xue Liu et al
02-02-2021	Agent Incentives: A Causal Perspective by Tom Everitt et al
02-04-2021	Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models by Thomas Power et al
02-04-2021	Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types by Benjamin Christoffersen et al
02-02-2021	Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects by Ondřej Sokol et al
02-04-2021	Lookup subnet based Spatial Graph Convolutional neural Network by Jingzhao Hu et al
02-05-2021	Last iterate convergence of SGD for Least-Squares in the Interpolation regime by Aditya Varre et al
02-04-2021	Impossibility of Partial Recovery in the Graph Alignment Problem by Luca Ganassali et al
02-05-2021	Effects of quantum resources on the statistical complexity of quantum circuits by Kaifeng Bu et al
02-03-2021	Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks by Bruno Di Giorgi et al
02-05-2021	Multi-Task Self-Supervised Pre-Training for Music Classification by Ho-Hsiang Wu et al
02-04-2021	Instance-based learning using the Half-Space Proximal Graph by Ariana Talamantes et al
02-04-2021	Optimised one-class classification performance by Oliver Urs Lenz et al
02-04-2021	Ivy: Templated Deep Learning for Inter-Framework Portability by Daniel Lenton et al
02-03-2021	Learning a Compact State Representation for Navigation Tasks by Autoencoding 2D-Lidar Scans by Christopher Gebauer et al
02-04-2021	The Importance of Models in Data Analysis with Small Human Movement Datasets -- Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans by Vittorio Lippi et al
02-02-2021	A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants by Zaiwei Chen et al
02-04-2021	Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression by Masanori Yamada et al
02-03-2021	Uncertain Time Series Classification With Shapelet Transform by Michael Franklin Mbouopda et al
02-03-2021	Adversarially Robust Learning with Unknown Perturbation Sets by Omar Montasser et al
02-05-2021	Provably Efficient Algorithms for Multi-Objective Competitive RL by Tiancheng Yu et al
02-02-2021	Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition by Panagiotis Tigas et al
02-03-2021	PARAFAC2 AO-ADMM: Constraints in all modes by Marie Roald et al
02-02-2021	Majorizing Measures, Sequential Complexities, and Online Learning by Adam Block et al
02-05-2021	DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning by Kelly Kostopoulou et al

02-05-2021	Categorical data as a stone guest in a data science project for predicting defective water meters by Giovanni Delnevo et al
02-04-2021	Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training by Shiwei Liu et al
02-05-2021	Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization by Hyeryung Jang et al
02-03-2021	The Instability of Accelerated Gradient Descent by Amit Attia et al
02-04-2021	Meta-strategy for Learning Tuning Parameters with Guarantees by Dimitri Meunier et al
02-04-2021	FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning by Felix Sattler et al
02-05-2021	GIBBON: General-purpose Information-Based Bayesian OptimisatioN by Henry B. Moss et al
02-04-2021	HMC, an Algorithms in Data Mining, the Functional Analysis approach by Soumyadip Ghosh et al
02-03-2021	Investigating Critical Risk Factors in Liver Cancer Prediction by Jinpeng Li et al
02-03-2021	You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network by Will Gürpınar-Morgan et al
02-02-2021	When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning by Harikrishnan NB et al
02-03-2021	A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems by Mazen Alamir
02-03-2021	Modeling Complex Financial Products by Margret Bjarnadottir et al
02-03-2021	Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence by Xue Chen et al
02-05-2021	Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer by Kanchan Chowdhury et al
02-02-2021	Truly Sparse Neural Networks at Scale by Selima Curci et al
02-04-2021	RECol: Reconstruction Error Columns for Outlier Detection by Jörn Hees et al
02-04-2021	Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization by Yivan Zhang et al
02-02-2021	pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs by Gagandeep Singh et al
02-03-2021	Noise-robust classification with hypergraph neural network by Nguyen Trinh Vu Dang et al
02-03-2021	A Bayesian Federated Learning Framework with Multivariate Gaussian Product by Liangxi Liu et al
02-04-2021	From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling by Christina Petschnigg et al
02-05-2021	Revisiting Prioritized Experience Replay: A Value Perspective by Ang A. Li et al
02-04-2021	Progressive Neural Image Compression with Nested Quantization and Latent Ordering by Yadong Lu et al
02-05-2021	Online Bin Packing with Predictions by Spyros Angelopoulos et al
02-02-2021	Directive Explanations for Actionable Explainability in Machine Learning Applications by Ronal Singh et al
02-03-2021	Federated Learning on Non-IID Data Silos: An Experimental Study by Qinbin Li et al
02-05-2021	Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence by Anna Andrle et al
02-04-2021	RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER by Lin Sun et al
02-05-2021	Equivariant message passing for the prediction of tensorial properties and molecular spectra by Kristof T. Schütt et al
02-02-2021	Depth separation beyond radial functions by Luca Venturi et al
02-05-2021	Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review by Jie Yuan et al
02-05-2021	Exact Optimization of Conformal Predictors via Incremental and Decremental Learning by Giovanni Cherubin et al
02-02-2021	Real-time detection of uncalibrated sensors using Neural Networks by Luis J. Muñoz-Molina et al
02-03-2021	Local Critic Training for Model-Parallel Learning of Deep Neural Networks by Hojung Lee et al
02-02-2021	Gaussian Experts Selection using Graphical Models by Hamed Jalali et al
02-02-2021	Stability-Constrained Markov Decision Processes Using MPC by Mario Zanon et al
02-02-2021	AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning by Yuhan Liu et al
02-05-2021	A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration by Miroslav Kosanic et al
02-05-2021	A simpler spectral approach for clustering in directed networks by Simon Coste et al
02-05-2021	Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning by Tomoya Murata et al
02-04-2021	Compressed Object Detection by Gedeon Muhawenayo et al
02-03-2021	LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign by Tianchi Cai et al
02-05-2021	On the Sample Complexity of Causal Discovery and the Value of Domain Expertise by Samir Wadhwa et al
02-02-2021	Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach by Anthony Devaux et al
02-03-2021	Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice by Viraj Kulkarni et al
02-05-2021	Fast and Memory Efficient Differentially Private-SGD via JL Projections by Zhiqi Bu et al
02-05-2021	CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks by Ana Lucic et al
02-05-2021	On the Reproducibility of Neural Network Predictions by Srinadh Bhojanapalli et al
02-05-2021	Integer Programming for Causal Structure Learning in the Presence of Latent Variables by Rui Chen et al
02-02-2021	Report of the Workshop on Program Synthesis for Scientific Computing by Hal Finkel et al
02-05-2021	Sparse Normal Means Estimation with Sublinear Communication by Chen Amiraz et al
02-03-2021	Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy by James Mou et al
02-02-2021	Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis by Hrishikesh Dutta et al
02-03-2021	Learning Graph Representations by Rucha Bhalchandra Joshi et al
02-02-2021	Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus by Ismail Arai et al
02-02-2021	Robust data-driven discovery of partial differential equations with time-dependent coefficients by Aoxue Chen et al
02-04-2021	Feedback in Imitation Learning: Confusion on Causality and Covariate Shift by Jonathan Spencer et al
02-02-2021	Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study by Bjarne Grimstad et al
02-02-2021	Exact Langevin Dynamics with Stochastic Gradients by Adrià Garriga-Alonso et al
02-05-2021	Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals by Anton Mallasto
02-02-2021	FEDZIP: A Compression Framework for Communication-Efficient Federated Learning by Amirhossein Malekijoo et al
02-05-2021	NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data by Siyuan Shan et al
02-05-2021	On The Connection of Benfords Law and Neural Networks by Surya Kant Sahu et al
02-04-2021	Machine Learning for Auxiliary Sources by Daniele Casati
02-02-2021	The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication by Blake Woodworth et al
02-02-2021	A Speaker Verification Backend with Robust Performance across Conditions by Luciana Ferrer et al
02-02-2021	Bit Error Tolerance Metrics for Binarized Neural Networks by Sebastian Buschjäger et al
02-05-2021	Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis by Jayanta Kumar Das et al
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02-02-2021	Strongly Adaptive OCO with Memory by Zhiyu Zhang et al
02-02-2021	OPAM: Online Purchasing-behavior Analysis using Machine learning by Sohini Roychowdhury et al
02-05-2021	Graph Joint Attention Networks by Tiantian He et al
02-02-2021	Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS) by Richard Hawkins et al
02-04-2021	Robust Adaptive Filtering Based on Exponential Functional Link Network by T. Yu et al
02-03-2021	BeFair: Addressing Fairness in the Banking Sector by Alessandro Castelnovo et al
02-05-2021	White-box Audio VST Effect Programming by Christopher Mitcheltree et al
02-02-2021	Drift Estimation with Graphical Models by Luigi Riso et al
02-02-2021	Symplectic Gaussian Process Dynamics by Katharina Ensinger et al
02-02-2021	FedProf: Optimizing Federated Learning with Dynamic Data Profiling by Wentai Wu et al
02-02-2021	AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset by Błażej Leporowski et al
02-02-2021	Policy Analysis using Synthetic Controls in Continuous-Time by Alexis Bellot et al
02-04-2021	The Fourier Loss Function by Auricchio Gennaro et al
02-04-2021	Learning While Dissipating Information: Understanding the Generalization Capability of SGLD by Hao Wang et al
02-05-2021	Generating automatically labeled data for author name disambiguation: An iterative clustering method by Jinseok Kim et al
02-05-2021	In-Loop Meta-Learning with Gradient-Alignment Reward by Samuel Müller et al
02-05-2021	Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network by Gregor Cerar et al
02-03-2021	OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning by Xiaoyu Zhang et al
02-03-2021	Disease Prediction with a Maximum Entropy Method by Michael Shub et al
02-05-2021	Effect of forename string on author name disambiguation by Jinseok Kim et al
02-05-2021	A Variational Information Bottleneck Approach to Multi-Omics Data Integration by Changhee Lee et al
02-05-2021	Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose by Li Liu et al
02-02-2021	Super-klust: Another Way of Piecewise Linear Classification by Rahman Salim Zengin et al
02-04-2021	LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers by Shahin Khobahi et al
02-04-2021	Learning High DimensionalWasserstein Geodesics by Shu Liu et al
02-05-2021	Hyperparameter Optimization Is Deceiving Us, and How to Stop It by A. Feder Cooper et al
02-05-2021	DEAL: Decremental Energy-Aware Learning in a Federated System by Wenting Zou et al
02-02-2021	Multimodal Attention Fusion for Target Speaker Extraction by Hiroshi Sato et al
02-04-2021	Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment by Manzhu Yu et al
02-04-2021	Undecidability of Underfitting in Learning Algorithms by Sonia Sehra et al
02-04-2021	Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study by Björn Holzhauer et al
02-04-2021	Semi-Synchronous Federated Learning by Dimitris Stripelis et al
02-02-2021	A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection by Atiyeh Fotoohinasab et al
02-04-2021	Nonlinear Independent Component Analysis for Continuous-Time Signals by Harald Oberhauser et al
02-04-2021	Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems by Yingzhi Xia et al
02-05-2021	Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1 by Fu-Shun Hsu et al
02-02-2021	Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs by Christopher A. Metz et al
02-04-2021	The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance by Ajitesh Srivastava et al
02-04-2021	Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms by Minhui Huang
02-04-2021	Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation by Bilal Thonnam Thodi et al
02-04-2021	How to Train Your Robot with Deep Reinforcement Learning; Lessons Weve Learned by Julian Ibarz et al