2021.12.13 Learning papers

12-08-2021	Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021) by Ernest Davis
12-08-2021	Improving language models by retrieving from trillions of tokens by Sebastian Borgeaud et al
12-08-2021	InvGAN: Invertible GANs by Partha Ghosh et al
12-07-2021	Tell me why! -- Explanations support learning of relational and causal structure by Andrew K. Lampinen et al
12-07-2021	Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning by DeepMind Interactive Agents Team et al
12-09-2021	Extending the WILDS Benchmark for Unsupervised Adaptation by Shiori Sagawa et al
12-07-2021	Grounded Language-Image Pre-training by Liunian Harold Li et al
12-07-2021	CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification by Huidong Liu et al
12-07-2021	raceBERT -- A Transformer-based Model for Predicting Race and Ethnicity from Names by Prasanna Parasurama
12-08-2021	MLP Architectures for Vision-and-Language Modeling: An Empirical Study by Yixin Nie et al
12-07-2021	Godot Reinforcement Learning Agents by Edward Beeching et al
12-07-2021	A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules by Xinfeng Xie et al
12-08-2021	Recent Advances in Reinforcement Learning in Finance by Ben Hambly et al
12-07-2021	Information is Power: Intrinsic Control via Information Capture by Nicholas Rhinehart et al
12-09-2021	PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning by Yining Hong et al
12-09-2021	Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: A Machine Learning Approach by Hannah Metzler et al
12-08-2021	Contrastive Instruction-Trajectory Learning for Vision-Language Navigation by Xiwen Liang et al
12-10-2021	Self-attention Does Not Need O(n2)O(n2) Memory by Markus N. Rabe et al
12-09-2021	Self-Supervised Image-to-Text and Text-to-Image Synthesis by Anindya Sundar Das et al
12-09-2021	KGE-CL: Contrastive Learning of Knowledge Graph Embeddings by Wentao Xu et al
12-07-2021	A generalization gap estimation for overparameterized models via Langevin functional variance by Akifumi Okuno et al
12-09-2021	Effective dimension of machine learning models by Amira Abbas et al
12-07-2021	Scaling Structured Inference with Randomization by Yao Fu et al
12-08-2021	Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features by Trung Dang et al
12-09-2021	DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization by Aviral Kumar et al
12-09-2021	Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation by Anthony Simeonov et al
12-08-2021	BACON: Band-limited Coordinate Networks for Multiscale Scene Representation by David B. Lindell et al
12-09-2021	High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning by Uta Pigorsch et al
12-07-2021	Learning Linear Models Using Distributed Iterative Hessian Sketching by Han Wang et al
12-09-2021	A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation by Rika Antonova et al
12-08-2021	CoMPS: Continual Meta Policy Search by Glen Berseth et al
12-09-2021	Latent Space Explanation by Intervention by Itai Gat et al
12-09-2021	A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective by Yasong Feng et al
12-07-2021	Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices by Hariom A. Pandya et al
12-08-2021	Calibration Improves Bayesian Optimization by Shachi Deshpande et al
12-08-2021	Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings by Erik B. Myklebust et al
12-09-2021	Machine Learning for Utility Prediction in Argument-Based Computational Persuasion by Ivan Donadello et al
12-08-2021	Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost by Wuxing Xu et al
12-07-2021	Bless and curse of smoothness and phase transitions in nonparametric regressions: a nonasymptotic perspective by Ying Zhu
12-08-2021	Learning music audio representations via weak language supervision by Ilaria Manco et al
12-08-2021	The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss by Philip M. Long et al
12-08-2021	Exploring Temporal Granularity in Self-Supervised Video Representation Learning by Rui Qian et al
12-08-2021	Model-Value Inconsistency as a Signal for Epistemic Uncertainty by Angelos Filos et al
12-08-2021	ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives by Toshinori Kitamura et al
12-09-2021	PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures by Dan Hendrycks et al
12-08-2021	Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach by Soroush Saghafian
12-07-2021	Active Sensing for Communications by Learning by Foad Sohrabi et al
12-09-2021	Opinion Extraction as A Structured Sentiment Analysis using Transformers by Yucheng Liu et al
12-08-2021	Building Quantum Field Theories Out of Neurons by James Halverson
12-08-2021	Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis by Viktoria Ehm et al
12-07-2021	Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring by Yunzhuang Shen et al
12-09-2021	The Peril of Popular Deep Learning Uncertainty Estimation Methods by Yehao Liu et al
12-07-2021	A deep language model to predict metabolic network equilibria by François Charton et al
12-08-2021	Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework by Ching-Yun Ko et al
12-08-2021	Differentially Private Ensemble Classifiers for Data Streams by Lovedeep Gondara et al
12-09-2021	Evaluating saliency methods on artificial data with different background types by Céline Budding et al
12-09-2021	Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? by Hanno Gottschalk et al
12-08-2021	Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs by Hanane Djeddal et al
12-08-2021	Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market by Oscar Fernández Vicente et al
12-08-2021	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction by Hyungjin Chung et al
12-09-2021	Bringing Atomistic Deep Learning to Prime Time by Nathan C. Frey et al
12-10-2021	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory by Patricia Wollstadt et al
12-08-2021	PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing by Naresh S. Iyer et al
12-07-2021	Private Robust Estimation by Stabilizing Convex Relaxations by Pravesh K. Kothari et al
12-09-2021	Continuation Path with Linear Convergence Rate by Eugene Ndiaye et al
12-09-2021	Combining Textual Features for the Detection of Hateful and Offensive Language by Sherzod Hakimov et al
12-09-2021	Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior by Davis Rempe et al
12-07-2021	Lattice-Based Methods Surpass Sum-of-Squares in Clustering by Ilias Zadik et al
12-07-2021	On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks by John T. Holodnak et al
12-07-2021	Unsupervised Representation Learning via Neural Activation Coding by Yookoon Park et al
12-07-2021	RID-Noise: Towards Robust Inverse Design under Noisy Environments by Jia-Qi Yang et al
12-08-2021	CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning by Yue Fan et al
12-08-2021	Self-Supervised Models are Continual Learners by Enrico Fini et al
12-08-2021	Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering by Mingfei Chen et al
12-08-2021	Trainability for Universal GNNs Through Surgical Randomness by Billy Joe Franks et al
12-08-2021	Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain by Stefan Wapnick et al
12-07-2021	Graph Neural Controlled Differential Equations for Traffic Forecasting by Jeongwhan Choi et al
12-07-2021	Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks by Pascal Mattia Esser et al
12-07-2021	More layers! End-to-end regression and uncertainty on tabular data with deep learning by Ivan Bondarenko
12-07-2021	SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning by Yuege Xie et al
12-08-2021	Enhancing Counterfactual Classification via Self-Training by Ruijiang Gao et al
12-07-2021	Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression by Nikos Arechiga et al
12-08-2021	Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks by Ekkehard Schnoor et al
12-08-2021	Daily peak electrical load forecasting with a multi-resolution approach by Yvenn Amara-Ouali et al
12-09-2021	Evaluation of survival distribution predictions with discrimination measures by Raphael Sonabend et al
12-09-2021	Provable Continual Learning via Sketched Jacobian Approximations by Reinhard Heckel
12-08-2021	On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations by Li-Chung Lin et al
12-07-2021	Towards a Shared Rubric for Dataset Annotation by Andrew Marc Greene
12-08-2021	Autoregressive Quantile Flows for Predictive Uncertainty Estimation by Phillip Si et al
12-07-2021	Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization by Bo-Shiuan Chu et al
12-08-2021	Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data by Xiangyong Lu et al
12-08-2021	Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification by Hao Wang et al
12-09-2021	RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit by Viet Quoc Vo et al
12-07-2021	Gaussian map predictions for 3D surface feature localisation and counting by Justin Le Louëdec et al
12-09-2021	Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay by Hitesh Vaidya et al
12-08-2021	A Fast Algorithm for PAC Combinatorial Pure Exploration by Noa Ben-David et al
12-09-2021	Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidatas Revision History by Lukas Schmelzeisen et al
12-09-2021	Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning by Yujun Shi et al
12-09-2021	A New Measure of Model Redundancy for Compressed Convolutional Neural Networks by Feiqing Huang et al
12-08-2021	A Note on Comparison of F-measures by Wei Ju et al
12-08-2021	Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation by Emily Denton et al
12-07-2021	Federated Causal Discovery by Erdun Gao et al
12-09-2021	A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks by Bahareh Tolooshams et al
12-07-2021	Best Arm Identification under Additive Transfer Bandits by Ojash Neopane et al
12-09-2021	Mutual Adversarial Training: Learning together is better than going alone by Jiang Liu et al
12-08-2021	Pareto Domain Adaptation by Fangrui Lv et al
12-07-2021	Physics guided deep learning generative models for crystal materials discovery by Yong Zhao et al
12-08-2021	Application of Deep Reinforcement Learning to Payment Fraud by Siddharth Vimal et al
12-07-2021	Multinational Address Parsing: A Zero-Shot Evaluation by Marouane Yassine et al
12-09-2021	Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers by Zunlei Feng et al
12-08-2021	Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing by Ramji Venkataramanan et al
12-09-2021	Amicable Aid: Turning Adversarial Attack to Benefit Classification by Juyeop Kim et al
12-08-2021	Multiway Ensemble Kalman Filter by Yu Wang et al
12-08-2021	Specializing Versatile Skill Libraries using Local Mixture of Experts by Onur Celik et al
12-09-2021	Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies by Dushyant Rao et al
12-07-2021	In-flight Novelty Detection with Convolutional Neural Networks by Adam Hartwell et al
12-09-2021	Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment by Tielang Gong et al
12-10-2021	Predicting Physical World Destinations for Commands Given to Self-Driving Cars by Dusan Grujicic et al
12-08-2021	Burn After Reading: Online Adaptation for Cross-domain Streaming Data by Luyu Yang et al
12-07-2021	i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery by Cameron R. Wolfe et al
12-09-2021	Adaptive Methods for Aggregated Domain Generalization by Xavier Thomas et al
12-07-2021	DeepFace-EMD: Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification by Hai Phan et al
12-10-2021	Discourse-Aware Prompt Design for Text Generation by Marjan Ghazvininejad et al
12-07-2021	A Continuous-time Stochastic Gradient Descent Method for Continuous Data by Kexin Jin et al
12-09-2021	3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection by Alexander Lehner et al
12-08-2021	Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology by Kaylen J. Pfisterer et al
12-07-2021	Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project by Nicholas I-Hsien Kuo et al
12-08-2021	Transferability Properties of Graph Neural Networks by Luana Ruiz et al
12-09-2021	Siamese Attribute-missing Graph Auto-encoder by Wenxuan Tu et al
12-09-2021	Fair Structure Learning in Heterogeneous Graphical Models by Davoud Ataee Tarzanagh et al
12-07-2021	Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors by Marcel Grimmer et al
12-08-2021	Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities by Pou-Chun Kung et al
12-08-2021	Implicit Neural Representations for Image Compression by Yannick Strümpler et al
12-09-2021	On Convergence of Federated Averaging Langevin Dynamics by Wei Deng et al
12-08-2021	FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning by Keyu Yang et al
12-09-2021	Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images by Qinghao Ye et al
12-08-2021	Transformaly -- Two (Feature Spaces) Are Better Than One by Matan Jacob Cohen et al
12-07-2021	Understanding Square Loss in Training Overparametrized Neural Network Classifiers by Tianyang Hu et al
12-08-2021	SoK: Anti-Facial Recognition Technology by Emily Wenger et al
12-09-2021	Forecast Evaluation in Large Cross-Sections of Realized Volatility by Christis Katsouris
12-07-2021	Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization by Chaoyue Liu et al
12-08-2021	Adaptive Kernel Graph Neural Network by Mingxuan Ju et al
12-09-2021	A fully-differentiable compressible high-order computational fluid dynamics solver by Deniz A. Bezgin et al
12-10-2021	VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling by Yang Li et al
12-08-2021	Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression by Lijia Zhou et al
12-07-2021	The Effect of Model Size on Worst-Group Generalization by Alan Pham et al
12-10-2021	Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation by Tianyi Liu et al
12-09-2021	PE-former: Pose Estimation Transformer by Paschalis Panteleris et al
12-08-2021	Improving the Training of Graph Neural Networks with Consistency Regularization by Chenhui Zhang et al
12-08-2021	Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition by Zhenxin Wu et al
12-08-2021	GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection by Sowmen Das et al
12-09-2021	VMAgent: Scheduling Simulator for Reinforcement Learning by Junjie Sheng et al
12-08-2021	Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System by Ruigang Wang et al
12-08-2021	Convergence Results For Q-Learning With Experience Replay by Liran Szlak et al
12-10-2021	Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences by Yifan Chen et al
12-09-2021	Gradient-matching coresets for continual learning by Lukas Balles et al
12-07-2021	PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay by Xingxing Liang et al
12-07-2021	MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance by Michael Luo et al
12-07-2021	Membership Inference Attacks From First Principles by Nicholas Carlini et al
12-07-2021	Variance-Aware Weight Initialization for Point Convolutional Neural Networks by Pedro Hermosilla et al
12-07-2021	Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments by HyunJun Jung et al
12-07-2021	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning by Zichuan Lin et al
12-09-2021	Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics by Nigel Yuan Yun Ng et al
12-09-2021	A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation by Faisal Alatawi et al
12-07-2021	Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints by Jinyang Yuan et al
12-07-2021	Flexible Networks for Learning Physical Dynamics of Deformable Objects by Jinhyung Park et al
12-07-2021	Training Deep Models to be Explained with Fewer Examples by Tomoharu Iwata et al
12-09-2021	From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension by Nuo Chen et al
12-08-2021	A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse by Junyi Li et al
12-09-2021	Automated Side Channel Analysis of Media Software with Manifold Learning by Yuanyuan Yuan et al
12-08-2021	Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization by Zelin Ren et al

12-09-2021	Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion by Ken C. L. Wong et al
12-07-2021	A Generic Approach for Enhancing GANs by Regularized Latent Optimization by Yufan Zhou et al
12-07-2021	Image Enhancement via Bilateral Learning by Saeedeh Rezaee et al
12-07-2021	Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds by Pascal Mattia Esser et al
12-07-2021	Traversing within the Gaussian Typical Set: Differentiable Gaussianization Layers for Inverse Problems Augmented by Normalizing Flows by Dongzhuo Li et al
12-07-2021	Domain Generalization via Progressive Layer-wise and Channel-wise Dropout by Jintao Guo et al
12-08-2021	Replay For Safety by Liran Szlak et al
12-09-2021	The Fundamental Limits of Interval Arithmetic for Neural Networks by Matthew Mirman et al
12-09-2021	An Experimental Design Perspective on Model-Based Reinforcement Learning by Viraj Mehta et al
12-09-2021	PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function by Manaar Alam et al
12-08-2021	Variational Regularization in Inverse Problems and Machine Learning by Martin Burger
12-10-2021	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks by Adam Goodge et al
12-07-2021	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network by Haoyang Li et al
12-10-2021	On Causally Disentangled Representations by Abbavaram Gowtham Reddy et al
12-08-2021	STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification by Rex Liu et al
12-10-2021	Efficient Action Poisoning Attacks on Linear Contextual Bandits by Guanlin Liu et al
12-09-2021	Spinning Language Models for Propaganda-As-A-Service by Eugene Bagdasaryan et al
12-09-2021	GPU backed Data Mining on Android Devices by Robert Fritze et al
12-09-2021	Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion by Alexander L. Mitchell et al
12-10-2021	Eigenspace Restructuring: a Principle of Space and Frequency in Neural Networks by Lechao Xiao
12-07-2021	Image classifiers can not be made robust to small perturbations by Zheng Dai et al
12-10-2021	Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs by Bryan Eikema et al
12-09-2021	Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks by Anish Shastri et al
12-08-2021	Regularization methods for the short-term forecasting of the Italian electric load by Alessandro Incremona et al
12-07-2021	Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study by Yongkang Liu et al
12-07-2021	Scalable 3D Semantic Segmentation for Gun Detection in CT Scans by Marius Memmel et al
12-07-2021	Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning by Xiaohang Bian et al
12-10-2021	A Deep Learning Based Automated Hand Hygiene Training System by Mobina Shahbandeh et al
12-10-2021	Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks by Seungyong Moon et al
12-08-2021	Non parametric estimation of causal populations in a counterfactual scenario by Celine Beji et al
12-07-2021	Uncovering the Local Hidden Community Structure in Social Networks by Meng Wang et al
12-09-2021	Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation by Josiah Wong et al
12-08-2021	Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization by Mufan Sang et al
12-10-2021	Cross-Modal Transferable Adversarial Attacks from Images to Videos by Zhipeng Wei et al
12-08-2021	Pretrained Cost Model for Distributed Constraint Optimization Problems by Yanchen Deng et al
12-09-2021	Reinforcement Learning with Almost Sure Constraints by Agustin Castellano et al
12-09-2021	Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients by Yuchang Sun et al
12-07-2021	KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators by Petar Bevanda et al
12-07-2021	Multi-Task Learning on Networks by Andrea Ponti
12-08-2021	Autoencoder-based Communications with Reconfigurable Intelligent Surfaces by Tugba Erpek et al
12-09-2021	Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction by Yang Xue et al
12-09-2021	Measuring Wind Turbine Health Using Drifting Concepts by Agnieszka Jastrzebska et al
12-08-2021	Estimating Divergences in High Dimensions by Loong Kuan Lee et al
12-08-2021	Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing by Geethu Joseph et al
12-09-2021	Representing 3D Shapes with Probabilistic Directed Distance Fields by Tristan Aumentado-Armstrong et al
12-09-2021	A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure by Heming Yao et al
12-07-2021	A coarse space acceleration of deep-DDM by Valentin Mercier et al
12-10-2021	Concept Representation Learning with Contrastive Self-Supervised Learning by Daniel T. Chang
12-10-2021	Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021 by Karl-Herbert Schäfer et al
12-07-2021	Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks by A. Mazayev et al
12-08-2021	Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning by Bijie Bai et al
12-10-2021	The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset by Asier Gutiérrez-Fandiño et al
12-09-2021	New Tight Relaxations of Rank Minimization for Multi-Task Learning by Wei Chang et al
12-10-2021	DEBACER: a method for slicing moderated debates by Thomas Palmeira Ferraz et al
12-10-2021	Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning by Giseung Park et al
12-09-2021	Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images by Somrita Chattopadhyay et al
12-07-2021	Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time by Jeroen Berrevoets et al
12-07-2021	Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting by Mengze Gao et al
12-09-2021	7th AI Driving Olympics: 1st Place Report for Panoptic Tracking by Rohit Mohan et al
12-10-2021	PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss by Matias Vera et al
12-07-2021	Tailored neural networks for learning optimal value functions in MPC by Dieter Teichrib et al
12-07-2021	Which images to label for few-shot medical landmark detection? by Quan Quan et al
12-09-2021	Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs by Chang Lu et al
12-10-2021	How to Avoid Trivial Solutions in Physics-Informed Neural Networks by Raphael Leiteritz et al
12-07-2021	State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge by Mahdi Abolghasemi et al
12-07-2021	Relating transformers to models and neural representations of the hippocampal formation by James C. R. Whittington et al
12-08-2021	Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise by Elisabetta De Giovanni et al
12-09-2021	Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection by Zhanxiang Zhao
12-10-2021	Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures by Rares-Darius Buhai et al
12-07-2021	DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs by Mohammad Wardat et al
12-07-2021	Cross-domain User Preference Learning for Cold-start Recommendation by Huiling Zhou et al
12-07-2021	Shrub Ensembles for Online Classification by Sebastian Buschjäger et al
12-07-2021	A deep learning model for data-driven discovery of functional connectivity by Usman Mahmood et al
12-10-2021	Network Compression via Central Filter by Yuanzhi Duan et al
12-07-2021	CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks by Yansong Wang et al
12-07-2021	CapsProm: A Capsule Network For Promoter Prediction by Lauro Moraes et al
12-10-2021	Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity by Junchi Yang et al
12-09-2021	Road Extraction from Overhead Images with Graph Neural Networks by Gaetan Bahl et al
12-10-2021	Pruning Pretrained Encoders with a Multitask Objective by Patrick Xia et al
12-07-2021	Universalizing Weak Supervision by Changho Shin et al
12-07-2021	Assessing Fairness in the Presence of Missing Data by Yiliang Zhang et al
12-10-2021	Boosting Active Learning via Improving Test Performance by Tianyang Wang et al
12-09-2021	The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild) by Roya Javadi et al
12-10-2021	Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study by Ananya Karthik et al
12-07-2021	Genetic Algorithm for Constrained Molecular Inverse Design by Yurim Lee et al
12-08-2021	Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations by Glen Chou et al
12-07-2021	A Piece-wise Polynomial Filtering Approach for Graph Neural Networks by Vijay Lingam et al
12-09-2021	DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models by Boah Kim et al
12-08-2021	Identification of Twitter Bots based on an Explainable ML Framework: the US 2020 Elections Case Study by Alexander Shevtsov et al
12-10-2021	A Validation Tool for Designing Reinforcement Learning Environments by Ruiyang Xu et al
12-10-2021	Learning-Augmented Algorithms for Online Steiner Tree by Chenyang Xu et al
12-07-2021	Neural Networks for Infectious Diseases Detection: Prospects and Challenges by Muhammad Azeem et al
12-10-2021	Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks by Qi Sun et al
12-10-2021	Learning soft interventions in complex equilibrium systems by Michel Besserve et al
12-10-2021	How Private Is Your RL Policy? An Inverse RL Based Analysis Framework by Kritika Prakash et al
12-09-2021	Classification of Anuran Frog Species Using Machine Learning by Miriam Alabi
12-08-2021	End-to-end Alexa Device Arbitration by Jarred Barber et al
12-10-2021	unrolling palm for sparse semi-blind source separation by Mohammad Fahes et al
12-10-2021	Causal Knowledge Guided Societal Event Forecasting by Songgaojun Deng et al
12-07-2021	Predict and Optimize: Through the Lens of Learning to Rank by Jayanta Mandi et al
12-09-2021	Equivariant Quantum Graph Circuits by Péter Mernyei et al
12-09-2021	Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach by Saber Jafarpour et al
12-09-2021	Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction by Yijun Lin et al
12-09-2021	PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records by Tianyi Zhang et al
12-07-2021	Self-Organized Polynomial-Time Coordination Graphs by Qianlan Yang et al
12-07-2021	Permutation Equivariant Generative Adversarial Networks for Graphs by Yoann Boget et al
12-07-2021	Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI by Youngjune Lee et al
12-07-2021	Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks by Li-Chin Chen et al
12-10-2021	Interpretable Clustering via Multi-Polytope Machines by Connor Lawless et al
12-10-2021	Defending Label Inference and Backdoor Attacks in Vertical Federated Learning by Yang Liu et al
12-10-2021	Modelling DDoS Attacks in IoT Networks using Machine Learning by Pheeha Machaka et al
12-07-2021	A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection by Andrea Marinoni et al
12-10-2021	Structure-Preserving Learning Using Gaussian Processes and Variational Integrators by Jan Brüdigam et al
12-10-2021	A Generative Car-following Model Conditioned On Driving Styles by Yifan Zhang et al
12-10-2021	Comparison of Markov chains via weak Poincar\e inequalities with application to pseudo-marginal MCMC by Christophe Andrieu et al
12-09-2021	On multivariate randomized classification trees: l0l0-based sparsity, VC~dimension and decomposition methods by Edoardo Amaldi et al
12-10-2021	Robustification of Online Graph Exploration Methods by Franziska Eberle et al
12-10-2021	On Fair Selection in the Presence of Implicit and Differential Variance by Vitalii Emelianov et al
12-10-2021	A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies by Anish Shastri et al
12-10-2021	A Self-supervised Mixed-curvature Graph Neural Network by Li Sun et al
12-10-2021	Surrogate-data-enriched Physics-Aware Neural Networks by Raphael Leiteritz et al
12-10-2021	Federated Two-stage Learning with Sign-based Voting by Zichen Ma et al
12-10-2021	Neural Multi-Quantile Forecasting for Optimal Inventory Management by Federico Garza Ramírez
12-10-2021	A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis by Thomas Lew et al
12-10-2021	On the Relationships between Transform-Learning NMF and Joint-Diagonalization by Sixin Zhang et al
12-07-2021	Collaborative Learning over Wireless Networks: An Introductory Overview by Emre Ozfatura et al
12-09-2021	On the Relation between Prediction and Imputation Accuracy under Missing Covariates by Burim Ramosaj et al