2021.9.27 Learning papers

09-23-2021	Untrained Graph Neural Networks for Denoising by Samuel Rey et al
09-22-2021	Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques by Theodor Westny et al
09-22-2021	PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation by Alexey Kamenev et al
09-22-2021	An Exploration of Learnt Representations of W Jets by Jack H. Collins
09-24-2021	A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States by Benjamin Lucas et al
09-23-2021	An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration by Chenhao Wang et al
09-23-2021	A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways by Sai Krishna Sumanth Nakka et al
09-23-2021	Theory of overparametrization in quantum neural networks by Martin Larocca et al
09-22-2021	Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology by Nicholas Sale et al
09-21-2021	Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment by Eli Ben-Michael et al
09-21-2021	Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? by Lucas Pascal et al
09-23-2021	Fast Density Estimation for Density-based Clustering Methods by Difei Cheng et al
09-23-2021	Energy efficient distributed analytics at the edge of the network for IoT environments by Lorenzo Valerio et al
09-22-2021	Quantifying Model Predictive Uncertainty with Perturbation Theory by Rishabh Singh et al
09-21-2021	Neural networks with trainable matrix activation functions by Yuwen Li et al
09-21-2021	Identifying biases in legal data: An algorithmic fairness perspective by Jackson Sargent et al
09-22-2021	Robust Generalization of Quadratic Neural Networks via Function Identification by Kan Xu et al
09-23-2021	Active Learning for Argument Strength Estimation by Nataliia Kees et al
09-24-2021	A data acquisition setup for data driven acoustic design by Romana Rust et al
09-24-2021	Learning Relative Interactions through Imitation by Giorgia Adorni et al
09-22-2021	Social-Media Activity Forecasting with Exogenous Information Signals by Kin Wai Ng et al
09-23-2021	Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming by Ayush Maheshwari et al
09-22-2021	Learning by Examples Based on Multi-level Optimization by Shentong Mo et al
09-21-2021	Towards a Real-Time Facial Analysis System by Bishwo Adhikari et al
09-22-2021	Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction by Tareen Dawood et al
09-22-2021	Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data by Akram Hussain
09-22-2021	Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks by Sajjad Mozaffari et al
09-23-2021	Chess AI: Competing Paradigms for Machine Intelligence by Shiva Maharaj et al
09-23-2021	Document Automation Architectures and Technologies: A Survey by Mohammad Ahmadi Achachlouei et al
09-22-2021	A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index by Georgios Kaissis et al
09-24-2021	Learning-based Noise Component Map Estimation for Image Denoising by Sheyda Ghanbaralizadeh Bahnemiri et al
09-23-2021	Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation by Linh Kästner et al
09-23-2021	Unbiased Loss Functions for Multilabel Classification with Missing Labels by Erik Schultheis et al
09-24-2021	Optimisation of MCTS Player for The Lord of the Rings: The Card Game by Konrad Godlewski et al
09-22-2021	On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods by Luis Espath et al
09-22-2021	Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques by Ángel López-Oriona et al
09-22-2021	Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis by Zeyuan Yin et al
09-21-2021	Search For Deep Graph Neural Networks by Guosheng Feng et al
09-21-2021	Audiomer: A Convolutional Transformer for Keyword Spotting by Surya Kant Sahu et al
09-21-2021	Short-term traffic prediction using physics-aware neural networks by Mike Pereira et al
09-21-2021	Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification by Youngseog Chung et al
09-21-2021	Discovery of temporal structure intricacy in arterial blood pressure waveforms representing acuity of liver transplant and forecasting short term surgical outcome via unsupervised manifold learning by Shen-Chih Wang et al
09-21-2021	AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators by Yihang Yin et al
09-21-2021	RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing by Vivek Gupta et al
09-22-2021	Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication by Gilchan Park et al
09-21-2021	Transferability of Graph Neural Networks: an Extended Graphon Approach by Sohir Maskey et al
09-22-2021	Learning to Downsample for Segmentation of Ultra-High Resolution Images by Chen Jin et al
09-22-2021	Predicting Stress in Remote Learning via Advanced Deep Learning Technologies by Daben Kyle Liu
09-23-2021	Multidimensional Scaling: Approximation and Complexity by Erik Demaine et al
09-23-2021	Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit by Ke Li et al
09-23-2021	Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming by Sen Na et al
09-23-2021	Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning by Fangshu Yang et al
09-23-2021	Tactile Grasp Refinement using Deep Reinforcement Learning and Analytic Grasp Stability Metrics by Alexander Koenig et al
09-22-2021	ENERO: Efficient Real-Time Routing Optimization by Paul Almasan et al
09-23-2021	Orthogonal Graph Neural Networks by Kai Guo et al
09-24-2021	GERNERMED -- An Open German Medical NER Model by Johann Frei et al
09-24-2021	MLIMC: Machine learning-based implicit-solvent Monte Carlo by Jiahui Chen et al
09-23-2021	Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks by Marco Schreyer et al
09-21-2021	Identifying Potential Exomoon Signals with Convolutional Neural Networks by Alex Teachey et al
09-21-2021	Digital Signal Processing Using Deep Neural Networks by Brian Shevitski et al
09-21-2021	DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series by Błażej Leporowski et al
09-21-2021	NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations by Simone Scaboro et al
09-23-2021	Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem by Erick Galinkin et al
09-22-2021	Security Analysis of Capsule Network Inference using Horizontal Collaboration by Adewale Adeyemo et al
09-22-2021	Learning Predictive and Interpretable Timeseries Summaries from ICU Data by Nari Johnson et al
09-23-2021	Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint by Pawan Goyal et al
09-21-2021	Recurrent Neural Networks for Partially Observed Dynamical Systems by Uttam Bhat et al
09-22-2021	Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing by Kamal Raj Kanakarajan et al
09-23-2021	Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach by Tri Nguyen et al
09-22-2021	An artificial neural network approach to bifurcating phenomena in computational fluid dynamics by Federico Pichi et al
09-24-2021	Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones by Trey McNeely et al
09-24-2021	Description-based Label Attention Classifier for Explainable ICD-9 Classification by Malte Feucht et al
09-24-2021	Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning by Rahul Bera et al
09-24-2021	Is the Number of Trainable Parameters All That Actually Matters? by Amélie Chatelain et al
09-21-2021	Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values by Haewon Jeong et al
09-24-2021	Learning to maximize global influence from local observations by Gábor Lugosi et al
09-24-2021	The More, the Better? A Study on Collaborative Machine Learning for DGA Detection by Arthur Drichel et al
09-21-2021	AI in Osteoporosis by Sokratis Makrogiannis et al
09-21-2021	Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules by Steve Kommrusch et al
09-21-2021	Generating Compositional Color Representations from Text by Paridhi Maheshwari et al
09-22-2021	Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization by Justus F. Hübotter et al
09-22-2021	CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks by Mikhail Pautov et al
09-22-2021	Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning by Dongjie Wang et al
09-22-2021	On Bonus-Based Exploration Methods in the Arcade Learning Environment by Adrien Ali Taïga et al
09-22-2021	Weighted Low Rank Matrix Approximation and Acceleration by Elena Tuzhilina et al
09-21-2021	Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making by Yi Yang et al
09-23-2021	Learning Generative Deception Strategies in Combinatorial Masking Games by Junlin Wu et al
09-21-2021	Signal Classification using Smooth Coefficients of Multiple wavelets by Paul Grant et al
09-22-2021	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels by Robert J. Joyce et al
09-21-2021	Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents by Biao Zhang et al
09-22-2021	A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation by Hanieh Shabanian et al
09-24-2021	Discovering PDEs from Multiple Experiments by Georges Tod et al
09-24-2021	Towards A Measure Of General Machine Intelligence by Gautham Venkatasubramanian et al
09-24-2021	A dynamic programming algorithm for informative measurements and near-optimal path-planning by Peter N. Loxley et al
09-24-2021	How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View by Ren Li et al
09-24-2021	SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation by Theo Jaunet et al
09-24-2021	Local Intrinsic Dimensionality Signals Adversarial Perturbations by Sandamal Weerasinghe et al
09-22-2021	Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods by Baturay Saglam et al
09-21-2021	Differentiable Scaffolding Tree for Molecular Optimization by Tianfan Fu et al
09-21-2021	Scalable and Efficient MoE Training for Multitask Multilingual Models by Young Jin Kim et al
09-21-2021	A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp by Gabriel Peres Nobre et al
09-21-2021	Comparison of single and multitask learning for predicting cognitive decline based on MRI data by Vandad Imani et al
09-22-2021	A Latent Restoring Force Approach to Nonlinear System Identification by Timothy J. Rogers et al
09-22-2021	Adaptive Neural Message Passing for Inductive Learning on Hypergraphs by Devanshu Arya et al
09-22-2021	Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers by Yi Tay et al
09-22-2021	Exploring Decomposition for Table-based Fact Verification by Xiaoyu Yang et al
09-23-2021	Discovering and Validating AI Errors With Crowdsourced Failure Reports by Ángel Alexander Cabrera et al
09-23-2021	Quantum algorithms for group convolution, cross-correlation, and equivariant transformations by Grecia Castelazo et al
09-23-2021	Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images by Ashia Lewis et al
09-23-2021	How much human-like visual experience do current self-supervised learning algorithms need to achieve human-level object recognition? by A. Emin Orhan
09-24-2021	A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging by Loizos Koutsantonis et al
09-24-2021	Sinkhorn Distributionally Robust Optimization by Jie Wang et al
09-23-2021	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery by Lijun Ding et al
09-24-2021	Edge but not Least: Cross-View Graph Pooling by Xiaowei Zhou et al
09-23-2021	A survey of Bayesian Network structure learning by Neville K. Kitson et al
09-22-2021	Imitation Learning of Stabilizing Policies for Nonlinear Systems by Sebastian East
09-22-2021	BFClass: A Backdoor-free Text Classification Framework by Zichao Li et al
09-22-2021	Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data by Dheeraj Mekala et al
09-22-2021	Pix2seq: A Language Modeling Framework for Object Detection by Ting Chen et al
09-22-2021	Alzheimers Dementia Detection using Acoustic & Linguistic features and Pre-Trained BERT by Akshay Valsaraj et al
09-24-2021	Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts by Wouter Kool et al
09-24-2021	Predicting pigging operations in oil pipelines by Riccardo Angelo Giro et al
09-22-2021	Recursively Summarizing Books with Human Feedback by Jeff Wu et al
09-21-2021	CondNet: Conditional Classifier for Scene Segmentation by Changqian Yu et al
09-21-2021	Personalized Online Machine Learning by Ivana Malenica et al
09-23-2021	Holistic Semi-Supervised Approaches for EEG Representation Learning by Guangyi Zhang et al
09-21-2021	Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling by David Rey et al
09-21-2021	Shape Inference and Grammar Induction for Example-based Procedural Generation by Gillis Hermans et al
09-22-2021	Conditional Poisson Stochastic Beam Search by Clara Meister et al
09-21-2021	Learning offline: memory replay in biological and artificial reinforcement learning by Emma L. Roscow et al
09-22-2021	Investigating and Modeling the Dynamics of Long Ties by Ding Lyu et al
09-21-2021	Learning low-degree functions from a logarithmic number of random queries by Alexandros Eskenazis et al
09-24-2021	Distributed Estimation of Sparse Inverse Covariance Matrices by Tong Yao et al
09-23-2021	Federated Feature Selection for Cyber-Physical Systems of Systems by Pietro Cassarà et al
09-23-2021	Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning by Carlo Alfano et al
09-22-2021	Introducing Symmetries to Black Box Meta Reinforcement Learning by Louis Kirsch et al

09-23-2021	Dynamic Knowledge Distillation for Pre-trained Language Models by Lei Li et al
09-24-2021	Visual Scene Graphs for Audio Source Separation by Moitreya Chatterjee et al
09-21-2021	Learning PAC-Bayes Priors for Probabilistic Neural Networks by Maria Perez-Ortiz et al
09-24-2021	Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control by Baturay Saglam et al
09-24-2021	Learning Multi-Layered GBDT Via Back Propagation by Zhendong Zhang
09-21-2021	Selecting Datasets for Evaluating an Enhanced Deep Learning Framework by Kudakwashe Dandajena et al
09-21-2021	Achieving Counterfactual Fairness for Causal Bandit by Wen Huang et al
09-24-2021	Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience by Chayan Banerjee et al
09-21-2021	Homography augumented momentum constrastive learning for SAR image retrieval by Seonho Park et al
09-21-2021	Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks by Chin-Chia Michael Yeh et al
09-23-2021	Joint speaker diarisation and tracking in switching state-space model by Jeremy H. M. Wong et al
09-23-2021	Multi-resolution deep learning pipeline for dense large scale point clouds by Thomas Richard et al
09-24-2021	Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability by Aviv Tamar et al
09-23-2021	Hierarchies of Planning and Reinforcement Learning for Robot Navigation by Jan Wöhlke et al
09-23-2021	Zero-Shot Information Extraction as a Unified Text-to-Triple Translation by Chenguang Wang et al
09-23-2021	Clustering performance analysis using new correlation based cluster validity indices by Nathakhun Wiroonsri
09-21-2021	FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants by Yanjiao Chen et al
09-23-2021	Simple and Effective Zero-shot Cross-lingual Phoneme Recognition by Qiantong Xu et al
09-22-2021	SCSS-Net: Solar Corona Structures Segmentation by Deep Learning by Šimon Mackovjak et al
09-21-2021	Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy by Chi Zhang et al
09-22-2021	Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes by Xu Wang et al
09-23-2021	Learning the noise fingerprint of quantum devices by Stefano Martina et al
09-22-2021	LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders by Xiaoyu Chen et al
09-23-2021	CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling by Han Wu et al
09-23-2021	ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator by Mohit Sewak et al
09-23-2021	Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks by Krishnakumar Santhakumar et al
09-23-2021	Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning by Jianxiang Feng et al
09-21-2021	Unsupervised Abstract Reasoning for Ravens Problem Matrices by Tao Zhuo et al
09-22-2021	Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations by Arie Glazier et al
09-21-2021	Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning by Junjie Wang et al
09-23-2021	A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification by Marek Herde et al
09-23-2021	Toward a Unified Framework for Debugging Gray-box Models by Andrea Bontempelli et al
09-24-2021	Non-Euclidean Self-Organizing Maps by Dorota Celińska-Kopczyńska Eryk Kopczyński
09-24-2021	Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models by William Won et al
09-24-2021	Dimension Reduction for Data with Heterogeneous Missingness by Yurong Ling et al
09-22-2021	A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems by Areej AlBahar et al
09-24-2021	CLIPort: What and Where Pathways for Robotic Manipulation by Mohit Shridhar et al
09-24-2021	Optimal policy evaluation using kernel-based temporal difference methods by Yaqi Duan et al
09-22-2021	Updating Embeddings for Dynamic Knowledge Graphs by Christopher Wewer et al
09-23-2021	Reinforcement Learning Under Algorithmic Triage by Eleni Straitouri et al
09-21-2021	Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data by Anna Jenul et al
09-24-2021	Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning by Nikita Rudin et al
09-21-2021	Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning by Alexey Kutalev et al
09-23-2021	DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications by Dongqi Han et al
09-23-2021	Text Ranking and Classification using Data Compression by Nitya Kasturi et al
09-22-2021	Neural network relief: a pruning algorithm based on neural activity by Aleksandr Dekhovich et al
09-22-2021	Entropic Issues in Likelihood-Based OOD Detection by Anthony L. Caterini et al
09-22-2021	Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators by Jonas Nicodemus et al
09-21-2021	Consistency of spectral clustering for directed network community detection by Huan Qing et al
09-21-2021	Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks by Bohan Wu et al
09-21-2021	Introduction to Neural Network Verification by Aws Albarghouthi
09-23-2021	WRENCH: A Comprehensive Benchmark for Weak Supervision by Jieyu Zhang et al
09-23-2021	Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint by Paul Hagemann et al
09-21-2021	Long-Term Exploration in Persistent MDPs by Leonid Ugadiarov et al
09-22-2021	An automatic differentiation system for the age of differential privacy by Dmitrii Usynin et al
09-24-2021	Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading by Lei Shi et al
09-21-2021	A Novel Structured Natural Gradient Descent for Deep Learning by Weihua Liu et al
09-24-2021	Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM by Mingyang Zhang et al
09-23-2021	Optimal Decision Making in High-Throughput Virtual Screening Pipelines by Hyun-Myung Woo et al
09-24-2021	Deep Social Force by Sven Kreiss
09-22-2021	A Workflow for Offline Model-Free Robotic Reinforcement Learning by Aviral Kumar et al
09-22-2021	Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images by Zhenzhen Wang et al
09-22-2021	Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces by Samuel Daulton et al
09-22-2021	A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis by Ali Yavari et al
09-24-2021	Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction by Bruno Taillé et al
09-22-2021	On Optimal Robustness to Adversarial Corruption in Online Decision Problems by Shinji Ito
09-21-2021	Learning through structure: towards deep neuromorphic knowledge graph embeddings by Victor Caceres Chian et al
09-23-2021	Robin Hood and Matthew Effects -- Differential Privacy Has Disparate Impact on Synthetic Data by Georgi Ganev et al
09-21-2021	A Spectral Approach to Off-Policy Evaluation for POMDPs by Yash Nair et al
09-21-2021	Tecnologica cosa: Modeling Storyteller Personalities in Boccaccios Decameron by A. Feder Cooper et al
09-22-2021	The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data by Robin Vandaele et al
09-21-2021	Unsupervised Contextualized Document Representation by Ankur Gupta et al
09-21-2021	mGNN: Generalizing the Graph Neural Networks to the Multilayer Case by Marco Grassia et al
09-21-2021	Robust marginalization of baryonic effects for cosmological inference at the field level by Francisco Villaescusa-Navarro et al
09-22-2021	Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion by Tobias Müller et al
09-22-2021	Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation by Julian P. Merkofer et al
09-21-2021	wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction by Marco Grassia et al
09-22-2021	Multi-Slice Clustering for 3-order Tensor Data by Dina Faneva Andriantsiory et al
09-23-2021	Outlier-Robust Sparse Estimation via Non-Convex Optimization by Yu Cheng et al
09-24-2021	Approximate Latent Force Model Inference by Jacob Moss et al
09-24-2021	Optimization-based Causal Estimation from Heterogenous Environments by Mingzhang Yin et al
09-24-2021	Estimating R\enyis αα-Cross-Entropies in a Matrix-Based Way by Isaac J. Sledge et al
09-23-2021	GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction by Shuangli Li et al
09-23-2021	Adversarial Neural Trip Recommendation by Linlang Jiang et al
09-22-2021	Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers by Honggang Yu et al
09-22-2021	Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images by Farzin Soleymani et al
09-23-2021	Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks by Annan Yu et al
09-23-2021	An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series by Astha Garg et al
09-21-2021	StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation by Xingyu Liu et al
09-23-2021	ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization by Marco Gaudesi et al
09-22-2021	Diarisation using location tracking with agglomerative clustering by Jeremy H. M. Wong et al
09-22-2021	High-dimensional Bayesian Optimization for CNN Auto Pruning with Clustering and Rollback by Jiandong Mu et al
09-22-2021	Emulating Aerosol Microphysics with a Machine Learning by Paula Harder et al
09-21-2021	Mixed-supervised segmentation: Confidence maximization helps knowledge distillation by Bingyuan Liu et al
09-22-2021	Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances by Lenka Kuklišová Pavelková et al
09-22-2021	Adversarial Transfer Attacks With Unknown Data and Class Overlap by Luke E. Richards et al
09-23-2021	Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction by Tim Hsu et al
09-23-2021	Deep Learning with Kernel Flow Regularization for Time Series Forecasting by Mahdy Shirdel et al
09-23-2021	Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection by Wei Xia et al
09-23-2021	A Learned Stereo Depth System for Robotic Manipulation in Homes by Krishna Shankar et al
09-23-2021	Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery by Zhaoyi Xu et al
09-22-2021	MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning by Qiang He et al
09-22-2021	Improved Multi-label Classification with Frequent Label-set Mining and Association by Anwesha Law et al
09-21-2021	Learned Benchmarks for Subseasonal Forecasting by Soukayna Mouatadid et al
09-24-2021	Sample Efficient Model Evaluation by Emine Yilmaz et al
09-24-2021	Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance by Ioanna Arkoudi et al
09-22-2021	Natural Typing Recognition vis Surface Electromyography by Michael S. Crouch et al
09-21-2021	Assured Neural Network Architectures for Control and Identification of Nonlinear Systems by James Ferlez et al
09-21-2021	Relation-Guided Pre-Training for Open-Domain Question Answering by Ziniu Hu et al
09-21-2021	Graph Neural Netwrok with Interaction Pattern for Group Recommendation by Bojie Wang et al
09-23-2021	Exploring Machine Teaching with Children by Utkarsh Dwivedi et al
09-21-2021	Survey on Semantic Stereo Matching / Semantic Depth Estimation by Viny Saajan Victor et al
09-21-2021	KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation by Xingyu Liu et al
09-24-2021	Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena by Bernardo P. Ferreira et al
09-21-2021	Learning Interpretable Concept Groups in CNNs by Saurabh Varshneya et al
09-21-2021	LOTR: Face Landmark Localization Using Localization Transformer by Ukrit Watchareeruetai et al
09-23-2021	LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach by Mohit Sewak et al
09-21-2021	Non-parametric Kernel-Based Estimation of Probability Distributions for Precipitation Modeling by Andrew Pavlides et al
09-23-2021	MORSE-STF: A Privacy Preserving Computation System by Qizhi Zhang et al
09-23-2021	Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model by Zhanhong Yang et al
09-23-2021	Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum by Akash Doshi et al
09-22-2021	Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning by Roy Zohar et al
09-22-2021	The CAMELS Multifield Dataset: Learning the Universes Fundamental Parameters with Artificial Intelligence by Francisco Villaescusa-Navarro et al
09-24-2021	The Mirror Langevin Algorithm Converges with Vanishing Bias by Ruilin Li et al
09-24-2021	A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems by Xian Yeow Lee et al
09-23-2021	Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks by Hanna Kossowsky et al
09-23-2021	Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold by Junghyun Lee et al
09-23-2021	Secure PAC Bayesian Regression via Real Shamir Secret Sharing by Jaron Skovsted Gundersen et al
09-24-2021	From images in the wild to video-informed image classification by Marc Böhlen et al
09-24-2021	Training dataset generation for bridge game registration by Piotr Wzorek et al
09-24-2021	Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework by Chen Gong et al
09-22-2021	Index tt-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings by Gaëlle Candel et al
09-23-2021	Named Entity Recognition and Classification on Historical Documents: A Survey by Maud Ehrmann et al
09-21-2021	Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies by Taeyeong Choi et al
09-21-2021	Graph Neural Networks for Graph Drawing by Matteo Tiezzi et al
09-21-2021	The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation by Ambareesh Revanur et al
09-21-2021	Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures by Ashkan Jasour et al
09-21-2021	Learning Adaptive Control for SE(3) Hamiltonian Dynamics by Thai Duong et al
09-23-2021	FooBaR: Fault Fooling Backdoor Attack on Neural Network Training by Jakub Breier et al
09-23-2021	Coded Computation across Shared Heterogeneous Workers with Communication Delay by Yuxuan Sun et al
09-22-2021	Sharp Analysis of Random Fourier Features in Classification by Zhu Li
09-22-2021	Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora by Szu-Jui Chen et al
09-23-2021	Learning-Based Path Planning for Long-Range Autonomous Valet Parking by Muhammad Khalid et al
09-23-2021	Generalisations and improvements of New Q-Newtons method Backtracking by Tuyen Trung Truong
09-22-2021	Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals by Wasim Ahmad et al
09-24-2021	Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble by Hiroshi Seki et al
09-24-2021	A Generative Federated Learning Framework for Differential Privacy by Eugenio Lomurno et al
09-22-2021	Cram\er-Rao bound-informed training of neural networks for quantitative MRI by Xiaoxia Zhang et al
09-21-2021	Self-Supervised Action-Space Prediction for Automated Driving by Faris Janjoš et al
09-21-2021	Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach by Mohammad Ali Alomrani et al
09-24-2021	Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services by Charl Maree et al
09-21-2021	Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles by Xin Du et al
09-21-2021	Classification with Nearest Disjoint Centroids by Nicolas Fraiman et al
09-23-2021	MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks by Patrick Y. Wu et al
09-23-2021	End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction by Ruiyang Zhao et al
09-21-2021	Scenario generation for market risk models using generative neural networks by Solveig Flaig et al