2021.11.28 Learning papers

11-26-2021	ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks by Hua Qi et al
11-26-2021	Learning source-aware representations of music in a discrete latent space by Jinsung Kim et al
11-24-2021	Learning to Refit for Convex Learning Problems by Yingyan Zeng et al
11-25-2021	Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning by Chi Zhang et al
11-23-2021	Understanding the Impact of Data Distribution on Q-learning with Function Approximation by Pedro P. Santos et al
11-25-2021	DeepWiVe: Deep-Learning-Aided Wireless Video Transmission by Tze-Yang Tung et al
11-24-2021	EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search by Qian Jiang et al
11-25-2021	Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining by Bowen Zhao et al
11-23-2021	Depth induces scale-averaging in overparameterized linear Bayesian neural networks by Jacob A. Zavatone-Veth et al
11-24-2021	A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains by Johannes Hertrich et al
11-23-2021	Identifying the Units of Measurement in Tabular Data by Taha Ceritli et al
11-23-2021	ptype-cat: Inferring the Type and Values of Categorical Variables by Taha Ceritli et al
11-24-2021	Multi-fidelity Stability for Graph Representation Learning by Yihan He et al
11-23-2021	RIO: Rotation-equivariance supervised learning of robust inertial odometry by Caifa Zhou et al
11-23-2021	Link Analysis meets Ontologies: Are Embeddings the Answer? by Sebastian Mežnar et al
11-24-2021	FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps by Samvel Mkhitaryan et al
11-23-2021	A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle by Antonio Di Tommaso et al
11-23-2021	Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings by Gargya Gokhale et al
11-25-2021	Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training by Anbang Wu et al
11-24-2021	Uniform Convergence Rates for Lipschitz Learning on Graphs by Leon Bungert et al
11-25-2021	Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism by Juan Manuel Mayor-Torres et al
11-25-2021	Bandit problems with fidelity rewards by Gábor Lugosi et al
11-25-2021	Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image by Joshua Mitton et al
11-24-2021	Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers by John Guibas et al
11-25-2021	QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking by Xidan Song et al
11-23-2021	From Kepler to Newton: Explainable AI-based Paradigm for Science Discovery by Zelong Li et al
11-25-2021	Interesting Object, Curious Agent: Learning Task-Agnostic Exploration by Simone Parisi et al
11-23-2021	Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation by Yan Zhang et al
11-24-2021	A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context by Rucha Deshpande et al
11-24-2021	Out-of-Category Document Identification Using Target-Category Names as Weak Supervision by Dongha Lee et al
11-26-2021	An Optimization Framework for Federated Edge Learning by Yangchen Li et al
11-26-2021	On the combination of graph data for assessing thin-file borrowers creditworthiness by Ricardo Muñoz-Cancino et al
11-25-2021	Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation by Hadas Ben-Atya et al
11-25-2021	Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning by Pawan Goyal et al
11-24-2021	Differentially Private Nonparametric Regression Under a Growth Condition by Noah Golowich
11-26-2021	Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements by Massimo La Morgia et al
11-23-2021	Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines by Carlos A. Rivera A. et al
11-23-2021	Weakly-Supervised Cloud Detection with Fixed-Point GANs by Joachim Nyborg et al
11-25-2021	Group equivariant neural posterior estimation by Maximilian Dax et al
11-25-2021	KNAS: Green Neural Architecture Search by Jingjing Xu et al
11-23-2021	Adversarial machine learning for protecting against online manipulation by Stefano Cresci et al
11-26-2021	A multitask transfer learning framework for the prediction of virus-human protein-protein interactions by Thi Ngan Dong et al
11-23-2021	Learning Symbolic Rules for Reasoning in Quasi-Natural Language by Kaiyu Yang et al
11-24-2021	Fairness for AUC via Feature Augmentation by Hortense Fong et al
11-25-2021	Time Series Forecasting with Ensembled Stochastic Differential Equations Driven by L\evy Noise by Luxuan Yang et al
11-25-2021	Randomized Stochastic Gradient Descent Ascent by Othmane Sebbouh et al
11-23-2021	Input Convex Gradient Networks by Jack Richter-Powell et al
11-25-2021	Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey by Benyamin Ghojogh et al
11-23-2021	Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks by Fatemeh Lotfi et al
11-25-2021	Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation by Binhui Xie et al
11-25-2021	Generalizing Clinical Trials with Convex Hulls by Eric V. Strobl et al
11-25-2021	A-Muze-Net: Music Generation by Composing the Harmony based on the Generated Melody by Or Goren et al
11-25-2021	Demystifying Graph Neural Network Explanations by Anna Himmelhuber et al
11-26-2021	ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics by Aiham Taleb et al
11-23-2021	Appliance Level Short-term Load Forecasting via Recurrent Neural Network by Yuqi Zhou et al
11-25-2021	Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning by Xiaoxiao Zhao et al
11-23-2021	Adaptive Multi-Goal Exploration by Jean Tarbouriech et al
11-25-2021	DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding by Tze-Yang Tung et al
11-26-2021	Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction by Jie Wang et al
11-23-2021	VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles by Alexander Amini et al
11-24-2021	JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints by Karl D. D. Willis et al
11-24-2021	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion by Ankita Shukla et al
11-23-2021	Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization by Kuldeep S. Gill et al
11-24-2021	A comment on stabilizing reinforcement learning by Pavel Osinenko et al
11-24-2021	tsflex: flexible time series processing & feature extraction by Jonas Van Der Donckt et al
11-24-2021	Challenges of Adversarial Image Augmentations by Arno Blaas et al
11-24-2021	An XGBoost-Based Forecasting Framework for Product Cannibalization by Gautham Bekal et al
11-23-2021	Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks by Naoya Ozaki et al
11-25-2021	OTB-morph: One-Time Biometrics via Morphing applied to Face Templates by Mahdi Ghafourian et al
11-24-2021	Sparse is Enough in Scaling Transformers by Sebastian Jaszczur et al
11-25-2021	Few-shot Deep Representation Learning based on Information Bottleneck Principle by Shin Ando
11-25-2021	Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift by Kehang Han et al
11-25-2021	Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning by Haitong Ma et al
11-25-2021	Look at here : Utilizing supervision to attend subtle key regions by Changhwan Lee et al
11-26-2021	Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network by Maysam Behmanesh et al
11-26-2021	PicArrange -- Visually Sort, Search, and Explore Private Images on a Mac Computer by Klaus Jung et al
11-25-2021	Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks by Bryan M. Li et al
11-25-2021	Ontology-Based Skill Description Learning for Flexible Production Systems by Anna Himmelhuber et al
11-23-2021	Towards Empirical Sandwich Bounds on the Rate-Distortion Function by Yibo Yang et al
11-24-2021	Thundernna: a white box adversarial attack by Linfeng Ye
11-24-2021	Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability by Aadirupa Saha et al
11-25-2021	Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning by Alexander Becker et al
11-23-2021	Bayesian Sample Size Prediction for Online Activity by Thomas Richardson et al
11-23-2021	Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift by Sean Augenstein et al
11-23-2021	Subspace Adversarial Training by Tao Li et al
11-24-2021	A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine by David Solis-Martin et al
11-23-2021	Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes by Damien Bouchabou et al
11-25-2021	Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks by Tilahun M. Getu
11-26-2021	Semi-supervised t-SNE for Millimeter-wave Wireless Localization by Junquan Deng et al
11-23-2021	Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry by Mojtaba Forghani et al
11-24-2021	SLA22P: Self-supervised Anomaly Detection with Adversarial Perturbation by Yizhou Wang et al
11-24-2021	One More Step Towards Reality: Cooperative Bandits with Imperfect Communication by Udari Madhushani et al
11-23-2021	Local Permutation Equivariance For Graph Neural Networks by Joshua Mitton et al
11-23-2021	ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups by Hugo Aguettaz et al
11-24-2021	Finite-Time Error Bounds for Distributed Linear Stochastic Approximation by Yixuan Lin et al
11-23-2021	Learning Interactive Driving Policies via Data-driven Simulation by Tsun-Hsuan Wang et al
11-25-2021	BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule by Miao Zhang et al
11-25-2021	Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models by Iman Nematollahi et al
11-26-2021	Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners by Mohammed Dabbah et al
11-26-2021	On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments by Fabio Bonassi et al
11-26-2021	Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs by Peter Hase et al
11-25-2021	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations by Mehdi S. M. Sajjadi et al
11-23-2021	Best Arm Identification with Safety Constraints by Zhenlin Wang et al
11-26-2021	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models by David Nigenda et al
11-23-2021	Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure by Andreas Aristidou et al
11-24-2021	Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications by Khaled B. Letaief et al
11-24-2021	3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces by Simone Foti et al
11-23-2021	Schedule Based Temporal Difference Algorithms by Rohan Deb et al
11-24-2021	Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice by Ziquan Liu et al
11-25-2021	Learning Conditional Invariance through Cycle Consistency by Maxim Samarin et al
11-26-2021	Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms by Liyan Chang et al
11-23-2021	Is Shapley Explanation for a model unique? by Harsh Kumar et al
11-24-2021	Particle Graph Autoencoders and Differentiable, Learned Energy Movers Distance by Steven Tsan et al
11-25-2021	Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction by Xiangyu Meng et al
11-24-2021	Animal Behavior Classification via Deep Learning on Embedded Systems by Reza Arablouei et al
11-23-2021	Reviewing continual learning from the perspective of human-level intelligence by Yifan Chang et al
11-23-2021	Critical initialization of wide and deep neural networks through partial Jacobians: general theory and applications to LayerNorm by Darshil Doshi et al
11-23-2021	Independent Learning in Stochastic Games by Asuman Ozdaglar et al
11-24-2021	Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator by Hongxiang Fan et al
11-23-2021	Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review by Richa Upadhyay et al
11-26-2021	Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements by Franz Thaler et al
11-26-2021	Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model? by Corentin Martens et al
11-25-2021	Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions by Juncheng Dong et al
11-24-2021	Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks by Yao Lu et al
11-23-2021	Domain-Agnostic Clustering with Self-Distillation by Mohammed Adnan et al
11-25-2021	Joint inference and input optimization in equilibrium networks by Swaminathan Gurumurthy et al
11-25-2021	Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI) by Umangi Jain et al
11-23-2021	Variance Reduction in Deep Learning: More Momentum is All You Need by Lionel Tondji et al
11-23-2021	Composing Partial Differential Equations with Physics-Aware Neural Networks by Matthias Karlbauer et al
11-24-2021	A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles by Ayman Moawad et al
11-25-2021	ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation by Wei-Ting Chen et al
11-24-2021	Accelerating Deep Learning with Dynamic Data Pruning by Ravi S Raju et al
11-24-2021	ReAct: Out-of-distribution Detection With Rectified Activations by Yiyou Sun et al
11-25-2021	GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition by Xuan Son Nguyen
11-26-2021	Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping by Matthieu Herrmann et al
11-26-2021	A model of semantic completion in generative episodic memory by Zahra Fayyaz et al
11-23-2021	Robust Principal Component Analysis: A Construction Error Minimization Perspective by Kai Liu et al
11-23-2021	Multi-label Iterated Learning for Image Classification with Label Ambiguity by Sai Rajeswar et al
11-26-2021	Random-reshuffled SARAH does not need a full gradient computations by Aleksandr Beznosikov et al
11-26-2021	DP-SGD vs PATE: Which Has Less Disparate Impact on GANs? by Georgi Ganev
11-24-2021	Conditional Object-Centric Learning from Video by Thomas Kipf et al
11-26-2021	TRIP: Refining Image-to-Image Translation via Rival Preferences by Yinghua Yao et al
11-24-2021	ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations by Robin Karlsson et al
11-23-2021	End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices by Sideshwar J B et al
11-26-2021	The Geometry of Adversarial Training in Binary Classification by Leon Bungert et al
11-26-2021	ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine by Ilker Demirel et al
11-25-2021	Characteristic Neural Ordinary Differential Equations by Xingzi Xu et al
11-23-2021	Uncertainty estimation under model misspecification in neural network regression by Maria R. Cervera et al
11-24-2021	Back to Reality for Imitation Learning by Edward Johns
11-26-2021	Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization by Masoud Mohseni et al
11-26-2021	Non-IID data and Continual Learning processes in Federated Learning: A long road ahead by Marcos F. Criado et al
11-25-2021	Federated Data Science to Break Down Silos [Vision] by Essam Mansour et al
11-24-2021	Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates by Kyle Daruwalla et al
11-23-2021	MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network by Théo Estienne et al
11-26-2021	Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network by Esther Dietrich et al
11-26-2021	Confounder Identification-free Causal Visual Feature Learning by Xin Li et al
11-24-2021	Auto robust relative radiometric normalization via latent change noise modelling by Shiqi Liu et al
11-23-2021	Forget-SVGD: Particle-Based Bayesian Federated Unlearning by Jinu Gong et al

11-26-2021	Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features by Lars Henry Berge Olsen et al
11-24-2021	Reinforcement Learning for General LTL Objectives Is Intractable by Cambridge Yang et al
11-24-2021	Towards Cross-Cultural Analysis using Music Information Dynamics by Shlomo Dubnov et al
11-24-2021	Optimizing Latent Space Directions For GAN-based Local Image Editing by Ehsan Pajouheshgar et al
11-24-2021	Selection of pseudo-annotated data for adverse drug reaction classification across drug groups by Ilseyar Alimova et al
11-23-2021	A self-training framework for glaucoma grading in OCT B-scans by Gabriel García et al
11-24-2021	Fragment-based molecular generative model with high generalization ability and synthetic accessibility by Seonghwan Seo et al
11-23-2021	Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning by Zhenhuan Yang et al
11-24-2021	IMBENS: Ensemble Class-imbalanced Learning in Python by Zhining Liu et al
11-23-2021	Generating GPU Compiler Heuristics using Reinforcement Learning by Ian Colbert et al
11-24-2021	Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks by Jianbo Jiao et al
11-26-2021	How Well Do Sparse Imagenet Models Transfer? by Eugenia Iofinova et al
11-24-2021	A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings by Ivo Bukovsky et al
11-24-2021	Time-independent Generalization Bounds for SGLD in Non-convex Settings by Tyler Farghly et al
11-24-2021	Explaining machine-learned particle-flow reconstruction by Farouk Mokhtar et al
11-26-2021	Testability-Aware Low Power Controller Design with Evolutionary Learning by Min Li et al
11-26-2021	Implicit Data-Driven Regularization in Deep Neural Networks under SGD by Xuran Meng et al
11-26-2021	Conditional Image Generation with Score-Based Diffusion Models by Georgios Batzolis et al
11-23-2021	DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning by Alex Tamkin et al
11-24-2021	Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks by Liang Wang et al
11-24-2021	Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences by Moritz Ibing et al
11-24-2021	Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languages by Shota Orihashi et al
11-24-2021	Intuitive Shape Editing in Latent Space by Tim Elsner et al
11-24-2021	Causal Regularization Using Domain Priors by Abbavaram Gowtham Reddy et al
11-24-2021	Sharpness-aware Quantization for Deep Neural Networks by Jing Liu et al
11-26-2021	A Taxonomy of Anomalies in Log Data by Thorsten Wittkopp et al
11-24-2021	Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem by Jeremy E. Cohen
11-26-2021	Conditional Manifold Learning by Anh Tuan Bui
11-26-2021	3D shape sensing and deep learning-based segmentation of strawberries by Justin Le Louëdec et al
11-24-2021	Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild? by Ryan Curry et al
11-24-2021	Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP by Shudong Yang et al
11-26-2021	When Creators Meet the Metaverse: A Survey on Computational Arts by Lik-Hang Lee et al
11-26-2021	Neural Fields as Learnable Kernels for 3D Reconstruction by Francis Williams et al
11-24-2021	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning by Nicolai Dorka et al
11-23-2021	Minimizing subject-dependent calibration for BCI with Riemannian transfer learning by Salim Khazem et al
11-23-2021	Filter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark by Konstantin Hopf et al
11-26-2021	Learning Long-Term Reward Redistribution via Randomized Return Decomposition by Zhizhou Ren et al
11-24-2021	Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity by Bernardo Aquino et al
11-24-2021	Softmax Gradient Tampering: Decoupling the Backward Pass for Improved Fitting by Bishshoy Das et al
11-25-2021	AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 by Jin Xu et al
11-26-2021	A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator by Malte Lehna et al
11-25-2021	Variational Gibbs inference for statistical model estimation from incomplete data by Vaidotas Simkus et al
11-26-2021	SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings by Rasmus Laurvig Haugaard et al
11-23-2021	Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM by Rachel Lea Draelos et al
11-25-2021	PolyViT: Co-training Vision Transformers on Images, Videos and Audio by Valerii Likhosherstov et al
11-25-2021	Generalizing electrocardiogram delineation: training convolutional neural networks with synthetic data augmentation by Guillermo Jimenez-Perez et al
11-25-2021	Scene Graph Generation with Geometric Context by Vishal Kumar et al
11-26-2021	A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation by Marko Palangetić et al
11-25-2021	DP-SEP! Differentially Private Stochastic Expectation Propagation by Margarita Vinaroz et al
11-24-2021	TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization by Alexander Luce et al
11-25-2021	Approximate Bayesian Computation for Physical Inverse Modeling by Neel Chatterjee et al
11-25-2021	Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks by Haitz Sáez de Ocáriz Borde
11-23-2021	On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features by Emanuele Rossi et al
11-24-2021	Efficient Decompositional Rule Extraction for Deep Neural Networks by Mateo Espinosa Zarlenga et al
11-24-2021	PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers by Xiaoyi Dong et al
11-24-2021	Non-Intrusive Binaural Speech Intelligibility Prediction from Discrete Latent Representations by Alex F. McKinney et al
11-25-2021	Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics by Matthias Perkonigg et al
11-23-2021	HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance by Huanrui Yang et al
11-23-2021	Sample Efficient Imitation Learning via Reward Function Trained in Advance by Lihua Zhang
11-25-2021	Clustering Effect of (Linearized) Adversarial Robust Models by Yang Bai et al
11-23-2021	Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations by Yuqi Zhou et al
11-25-2021	Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series by Jonghyeon Lee et al
11-24-2021	Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion by Anthony Bourached et al
11-23-2021	Pruning Self-attentions into Convolutional Layers in Single Path by Haoyu He et al
11-24-2021	Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning by Zhining Liu et al
11-25-2021	Computer Vision User Entity Behavior Analytics by Sameer Khanna
11-25-2021	Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks by Tolga Birdal et al
11-23-2021	Tree density estimation by László Györfi et al
11-24-2021	Picasso: Model-free Feature Visualization by Binh Vu et al
11-25-2021	Unsupervised Feature Ranking via Attribute Networks by Urh Primožič et al
11-26-2021	μμNCA: Texture Generation with Ultra-Compact Neural Cellular Automata by Alexander Mordvintsev et al
11-26-2021	ManiFest: Manifold Deformation for Few-shot Image Translation by Fabio Pizzati et al
11-24-2021	Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes by Sam Bond-Taylor et al
11-24-2021	MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation by Wenhao Li et al
11-26-2021	Latent Space Smoothing for Individually Fair Representations by Momchil Peychev et al
11-23-2021	Multi-task manifold learning for small sample size datasets by Hideaki Ishibashi et al
11-23-2021	Weight Pruning and Uncertainty in Radio Galaxy Classification by Devina Mohan et al
11-25-2021	ML-Decoder: Scalable and Versatile Classification Head by Tal Ridnik et al
11-24-2021	SchemaDB: Structures in Relational Datasets by Cody James Christopher et al
11-26-2021	Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions by Omar Alfarisi et al
11-26-2021	Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning by Phillip Swazinna et al
11-25-2021	TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect by Abir Messaoudi et al
11-24-2021	Track Boosting and Synthetic Data Aided Drone Detection by Fatih Cagatay Akyon et al
11-24-2021	LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation by Yeong-Seok Jeong et al
11-24-2021	Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic by Subhrajit Sinha et al
11-23-2021	Sparse Fusion for Multimodal Transformers by Yi Ding et al
11-24-2021	Learning State Representations via Retracing in Reinforcement Learning by Changmin Yu et al
11-24-2021	Supervised Neural Discrete Universal Denoiser for Adaptive Denoising by Sungmin Cha et al
11-24-2021	Deep metric learning improves lab of origin prediction of genetically engineered plasmids by Igor M. Soares et al
11-23-2021	Deep learning-based fast solver of the shallow water equations by Mojtaba Forghani et al
11-23-2021	A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence by Taketo Akama
11-25-2021	Correcting the Laplace Method with Variational Bayes by Janet van Niekerk et al