2021.12.20 Learning papers

12-15-2021	Efficient Geometry-aware 3D Generative Adversarial Networks by Eric R. Chan et al
12-16-2021	Masked Feature Prediction for Self-Supervised Visual Pre-Training by Chen Wei et al
12-14-2021	Modeling Strong and Human-Like Gameplay with KL-Regularized Search by Athul Paul Jacob et al
12-14-2021	Efficient differentiable quadratic programming layers: an ADMM approach by Andrew Butler et al
12-15-2021	Textless Speech-to-Speech Translation on Real Data by Ann Lee et al
12-14-2021	Climate-Invariant Machine Learning by Tom Beucler et al
12-15-2021	torch.fx: Practical Program Capture and Transformation for Deep Learning in Python by James K. Reed et al
12-16-2021	Ensembling Off-the-shelf Models for GAN Training by Nupur Kumari et al
12-16-2021	BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference by Marvin Schmitt et al
12-15-2021	Quantum Model Learning Agent: characterisation of quantum systems through machine learning by Brian Flynn et al
12-16-2021	Amortized Noisy Channel Neural Machine Translation by Richard Yuanzhe Pang et al
12-16-2021	RegionCLIP: Region-based Language-Image Pretraining by Yiwu Zhong et al
12-14-2021	Machine learning a manifold by Sean Craven et al
12-17-2021	On the existence of global minima and convergence analyses for gradient descent methods in the training of deep neural networks by Arnulf Jentzen et al
12-14-2021	Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing by Robert Tinn et al
12-15-2021	Hierarchical Variational Memory for Few-shot Learning Across Domains by Yingjun Du et al
12-14-2021	Deciphering antibody affinity maturation with language models and weakly supervised learning by Jeffrey A. Ruffolo et al
12-16-2021	Explainable Natural Language Processing with Matrix Product States by Jirawat Tangpanitanon et al
12-15-2021	A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling by Thabang Mathonsi et al
12-15-2021	SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning by Zhecan Wang et al
12-16-2021	Procedural Kernel Networks by Bartlomiej Wronski
12-15-2021	Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture by Kieran Wood et al
12-14-2021	Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) by Khushnaseeb Roshan et al
12-14-2021	AdaViT: Adaptive Tokens for Efficient Vision Transformer by Hongxu Yin et al
12-15-2021	Breeding realistic D-brane models by Gregory J. Loges et al
12-16-2021	Sparse Coding with Multi-Layer Decoders using Variance Regularization by Katrina Evtimova et al
12-15-2021	Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods by Dafei Yin et al
12-16-2021	Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling by Ilia Kulikov et al
12-16-2021	Multivariate Realized Volatility Forecasting with Graph Neural Network by Qinkai Chen et al
12-14-2021	CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning by Kevin Huang et al
12-14-2021	Tackling the Generative Learning Trilemma with Denoising Diffusion GANs by Zhisheng Xiao et al
12-15-2021	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning by Wilka Carvalho et al
12-14-2021	Scatterbrained: A flexible and expandable pattern for decentralized machine learning by Miller Wilt et al
12-14-2021	How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy by Badr AlKhamissi et al
12-16-2021	Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription by Nikolai Vogler et al
12-15-2021	Learning Rich Representation of Keyphrases from Text by Mayank Kulkarni et al
12-16-2021	{\delta}-SAM: Sharpness-Aware Minimization with Dynamic Reweighting by Wenxuan Zhou et al
12-16-2021	An Empirical Investigation of the Role of Pre-training in Lifelong Learning by Sanket Vaibhav Mehta et al
12-14-2021	Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning by Yunhao Tang
12-16-2021	Intelli-Paint: Towards Developing Human-like Painting Agents by Jaskirat Singh et al
12-14-2021	Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models by Pieter Delobelle et al
12-17-2021	A random energy approach to deep learning by Rongrong Xie et al
12-15-2021	MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep Network for Image Splicing Detection by Angelina L. Gokhale et al
12-15-2021	Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context by Daniel Spokoyny et al
12-16-2021	High Fidelity Visualization of What Your Self-Supervised Representation Knows About by Florian Bordes et al
12-16-2021	CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain by Lukas Lange et al
12-15-2021	Invariance Through Inference by Takuma Yoneda et al
12-14-2021	Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning by Hongyi Zhang et al
12-15-2021	TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials by Christopher Yacoumatos et al
12-16-2021	Solving Inverse Problems with NerfGANs by Giannis Daras et al
12-16-2021	A Robust Optimization Approach to Deep Learning by Dimitris Bertsimas et al
12-16-2021	Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation by Manuel García-Domínguez et al
12-16-2021	Learning to Prompt for Continual Learning by Zifeng Wang et al
12-14-2021	Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach by Xiao Han et al
12-14-2021	Efficient Dynamic Graph Representation Learning at Scale by Xinshi Chen et al
12-16-2021	Learning and Analyzing Generation Order for Undirected Sequence Models by Yichen Jiang et al
12-14-2021	Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning by Yecheng Jason Ma et al
12-17-2021	Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems by Thinh T. Doan
12-16-2021	Extreme Zero-Shot Learning for Extreme Text Classification by Yuanhao Xiong et al
12-16-2021	IsometricMT: Neural Machine Translation for Automatic Dubbing by Surafel M. Lakew et al
12-16-2021	Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs by Ezgi Korkmaz
12-15-2021	A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19 by Junaed Younus Khan et al
12-15-2021	Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations by Carlo Marcati et al
12-17-2021	Continual Learning for Monolingual End-to-End Automatic Speech Recognition by Steven Vander Eeckt et al
12-16-2021	Learning Interpretable Models Through Multi-Objective Neural Architecture Search by Zachariah Carmichael et al
12-16-2021	MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling by Yusong Wu et al
12-16-2021	Non-Gaussian Component Analysis via Lattice Basis Reduction by Ilias Diakonikolas et al
12-14-2021	Communication-Efficient Distributed SGD with Compressed Sensing by Yujie Tang et al
12-15-2021	Lifelong Generative Modelling Using Dynamic Expansion Graph Model by Fei Ye et al
12-17-2021	Improving evidential deep learning via multi-task learning by Dongpin Oh et al
12-16-2021	Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems by Saket Dingliwal et al
12-16-2021	Ditch the Gold Standard: Re-evaluating Conversational Question Answering by Huihan Li et al
12-15-2021	Mask-combine Decoding and Classification Approach for Punctuation Prediction with real-time Inference Constraints by Christoph Minixhofer et al
12-16-2021	Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model by David Thulke et al
12-16-2021	Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds by Per Berglund et al
12-15-2021	StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation by Umut Kocasari et al
12-16-2021	A Proposition-Level Clustering Approach for Multi-Document Summarization by Ori Ernst et al
12-15-2021	Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization by Jacob Nogas et al
12-14-2021	Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{\a}tze by Han Zheng et al
12-16-2021	Effective prevention of semantic drift as angular distance in memory-less continual deep neural networks by Khouloud Saadi et al
12-17-2021	Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation by Krishna Chaitanya et al
12-16-2021	Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit by Sergio A. Alvarez
12-16-2021	Optimal discharge of patients from intensive care via a data-driven policy learning framework by Fernando Lejarza et al
12-14-2021	Conjugated Discrete Distributions for Distributional Reinforcement Learning by Björn Lindenberg et al
12-15-2021	Leveraging Image-based Generative Adversarial Networks for Time Series Generation by Justin Hellermann et al
12-14-2021	Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks by Aneesh Komanduri et al
12-16-2021	Learning To Retrieve Prompts for In-Context Learning by Ohad Rubin et al
12-16-2021	Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning by Thilini Cooray et al
12-14-2021	Modeling Image Quantization Tradeoffs for Optimal Compression by Johnathan Chiu
12-17-2021	KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling by Yun-Cheng Wang et al
12-15-2021	Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data by Daniel Muthukrishna et al
12-15-2021	Characterization of causal ancestral graphs for time series with latent confounders by Andreas Gerhardus
12-17-2021	WebGPT: Browser-assisted question-answering with human feedback by Reiichiro Nakano et al
12-16-2021	Stable Long-Term Recurrent Video Super-Resolution by Benjamin Naoto Chiche et al
12-15-2021	The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences by Amy McGovern et al
12-17-2021	Colloquium: Advances in automation of quantum dot devices control by Justyna P. Zwolak et al
12-16-2021	Classification Under Ambiguity: When Is Average-K Better Than Top-K? by Titouan Lorieul et al
12-15-2021	Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization by Himanshi Charotia et al
12-16-2021	Dataset correlation inference attacks against machine learning models by Ana-Maria Creţu et al
12-16-2021	A new locally linear embedding scheme in light of Hessian eigenmap by Liren Lin et al
12-14-2021	Experimental quantum advantage with quantum coupon collector by Min-Gang Zhou et al
12-15-2021	Towards General and Efficient Active Learning by Yichen Xie et al
12-15-2021	GenIE: Generative Information Extraction by Martin Josifoski et al
12-15-2021	FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning by Yi Zhou et al
12-14-2021	Towards Explainable Artificial Intelligence in Banking and Financial Services by Ambreen Hanif
12-17-2021	Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges by Michael Saidani et al
12-14-2021	A Style and Semantic Memory Mechanism for Domain Generalization by Yang Chen et al
12-16-2021	GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments by Shreshth Tuli et al
12-14-2021	Event-Aware Multimodal Mobility Nowcasting by Zhaonan Wang et al
12-14-2021	Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications by Siyuan He et al
12-16-2021	Link-Intensive Alignment for Incomplete Knowledge Graphs by Vinh Van Tong et al
12-17-2021	Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts by Omid Madani
12-14-2021	Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection by Vijit Malik et al
12-16-2021	Constraint-based graph network simulator by Yulia Rubanova et al
12-16-2021	Interference Suppression Using Deep Learning: Current Approaches and Open Challenges by Taiwo Oyedare et al
12-16-2021	Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift by Tong Xia et al
12-17-2021	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach by Krishna Pillutla et al
12-15-2021	Funnels: Exact maximum likelihood with dimensionality reduction by Samuel Klein et al
12-15-2021	Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset by Alexey Pustynnikov et al
12-17-2021	Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards by Sebastian Shenghong Tay et al
12-15-2021	Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization by Lorenzo Pacchiardi et al
12-15-2021	A learning-based approach to feature recognition of Engineering shapes by Lakshmi Priya Muraleedharan et al
12-16-2021	Search for temporal cell segmentation robustness in phase-contrast microscopy videos by Estibaliz Gómez-de-Mariscal et al
12-16-2021	Towards Robust Real-time Audio-Visual Speech Enhancement by Mandar Gogate et al
12-16-2021	Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity by Rajat Arora
12-17-2021	Learning Reward Machines: A Study in Partially Observable Reinforcement Learning by Rodrigo Toro Icarte et al
12-15-2021	Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime by Rui Zhang et al
12-17-2021	A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder by Pınar Baki
12-15-2021	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs by Yushan Liu et al
12-16-2021	PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision by Salehe Erfanian Ebadi et al
12-15-2021	Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion by Amir Alizadeh et al
12-14-2021	Graph Kernel Neural Networks by Luca Cosmo et al
12-14-2021	TopNet: Learning from Neural Topic Model to Generate Long Stories by Yazheng Yang et al
12-14-2021	Programmatic Reward Design by Example by Weichao Zhou et al
12-14-2021	On the Use of External Data for Spoken Named Entity Recognition by Ankita Pasad et al
12-15-2021	Graph-based Ensemble Machine Learning for Student Performance Prediction by Yinkai Wang et al
12-16-2021	Approximation of functions with one-bit neural networks by C. Sinan Güntürk et al
12-14-2021	Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis by Bingzhe Wu et al
12-16-2021	Hierarchical Clustering: O(1)O(1)-Approximation for Well-Clustered Graphs by Bogdan-Adrian Manghiuc et al
12-17-2021	Community-based Layerwise Distributed Training of Graph Convolutional Networks by Hongyi Li et al
12-15-2021	Measure and Improve Robustness in NLP Models: A Survey by Xuezhi Wang et al
12-14-2021	Classifying Emails into Human vs Machine Category by Changsung Kang et al
12-14-2021	Out-of-Distribution Detection without Class Labels by Niv Cohen et al
12-15-2021	Visualizing the Loss Landscape of Winning Lottery Tickets by Robert Bain
12-14-2021	Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs by Ahmad Naser Eddin et al
12-16-2021	Human Hands as Probes for Interactive Object Understanding by Mohit Goyal et al
12-16-2021	IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling by Chenlin Meng et al
12-14-2021	n-CPS: Generalising Cross Pseudo Supervision to n networks for Semi-Supervised Semantic Segmentation by Dominik Filipiak et al
12-16-2021	Quality monitoring of federated Covid-19 lesion segmentation by Camila Gonzalez et al
12-17-2021	Sublinear Time Approximation of Text Similarity Matrices by Archan Ray et al
12-15-2021	Domain-informed neural networks for interaction localization within astroparticle experiments by Shixiao Liang et al

12-15-2021	Blockchain-enabled Server-less Federated Learning by Francesc Wilhelmi et al
12-16-2021	Automated Deep Learning: Neural Architecture Search Is Not the End by Xuanyi Dong et al
12-15-2021	Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings by Andrew Wang et al
12-16-2021	Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning by Xiaoqian Chen et al
12-14-2021	Representation and Invariance in Reinforcement Learning by Samuel Alexander et al
12-14-2021	Bayesian Graph Contrastive Learning by Arman Hasanzadeh et al
12-14-2021	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion by Zifeng Ding et al
12-17-2021	Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network by Qian Chen et al
12-14-2021	Understanding Feature Transfer Through Representation Alignment by Ehsan Imani et al
12-17-2021	An overview of active learning methods for insurance with fairness appreciation by Romuald Elie et al
12-17-2021	ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms by Michele Polese et al
12-15-2021	Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas by Henrik Høiness et al
12-16-2021	The Dual PC Algorithm for Structure Learning by Enrico Giudice et al
12-15-2021	Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface by Dong-Kyun Han et al
12-17-2021	Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition by Guangyu Guo et al
12-15-2021	Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration by Yu Wang et al
12-17-2021	Quality of Data in Machine Learning by Antti Kariluoto et al
12-16-2021	Improved YOLOv5 network for real-time multi-scale traffic sign detection by Junfan Wang et al
12-15-2021	Learning Graph Partitions by Sayan Mukherjee
12-14-2021	M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation by Raquel Aoki et al
12-14-2021	Robustifying automatic speech recognition by extracting slowly varying features by Matias Pizarro et al
12-16-2021	A Heterogeneous Graph Learning Model for Cyber-Attack Detection by Mingqi Lv et al
12-16-2021	Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles by Bernard Benson et al
12-14-2021	Learning to track environment state via predictive autoencoding by Marian Andrecki et al
12-16-2021	Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach by Luca Furieri et al
12-14-2021	Fix your Models by Fixing your Datasets by Atindriyo Sanyal et al
12-14-2021	Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time by Zhao Song et al
12-17-2021	Deep Learning for Spatiotemporal Modeling of Urbanization by Tang Li et al
12-16-2021	DNA: Dynamic Network Augmentation by Scott Mahan et al
12-16-2021	Self-supervised Enhancement of Latent Discovery in GANs by Silpa Vadakkeeveetil Sreelatha et al
12-15-2021	RA V-Net: Deep learning network for automated liver segmentation by Zhiqi Lee et al
12-16-2021	End-to-End Multi-Task Deep Learning and Model Based Control Algorithm for Autonomous Driving by Der-Hau Lee et al
12-14-2021	Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding by Fei Chen et al
12-15-2021	AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks by Feng Ruiwei et al
12-15-2021	Building separable approximations for quantum states via neural networks by Antoine Girardin et al
12-16-2021	A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery by Krishna Kumar Perikamana et al
12-16-2021	Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches by Dominik Thalmeier et al
12-17-2021	Correlated Product of Experts for Sparse Gaussian Process Regression by Manuel Schürch et al
12-16-2021	Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing by Joonhyung Park et al
12-15-2021	UMAD: Universal Model Adaptation under Domain and Category Shift by Jian Liang et al
12-15-2021	Chimpanzee voice prints? Insights from transfer learning experiments from human voices by Mael Leroux et al
12-15-2021	A prediction-based approach for online dynamic radiotherapy scheduling by Tu-San Pham et al
12-17-2021	Nearest neighbor search with compact codes: A decoder perspective by Kenza Amara et al
12-17-2021	Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem by Jing Shi et al
12-14-2021	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization by Huiming Chen et al
12-16-2021	Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation by Yi Zhou et al
12-14-2021	Epigenomic language models powered by Cerebras by Meredith V. Trotter et al
12-16-2021	A molecular generative model with genetic algorithm and tree search for cancer samples by Sejin Park et al
12-15-2021	Robust Depth Completion with Uncertainty-Driven Loss Functions by Yufan Zhu et al
12-14-2021	Quantifying Multimodality in World Models by Andreas Sedlmeier et al
12-17-2021	Adaptively Customizing Activation Functions for Various Layers by Haigen Hu et al
12-14-2021	Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning by Zunayed Mahmud et al
12-17-2021	Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN by Vitaliy Kinakh et al
12-15-2021	Towards Controllable Agent in MOBA Games with Generative Modeling by Shubao Zhang
12-17-2021	Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks by Sohei Itahara et al
12-14-2021	An Interpretive Constrained Linear Model for ResNet and MgNet by Juncai He et al
12-17-2021	Provable Adversarial Robustness in the Quantum Model by Khashayar Barooti et al
12-17-2021	Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis by Qiang Liu et al
12-17-2021	ML Supported Predictions for SAT Solvers Performance by A. -M. Leventi-Peetz et al
12-17-2021	Watermarking Images in Self-Supervised Latent Spaces by Pierre Fernandez et al
12-17-2021	Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent by Guanhua Ye et al
12-17-2021	ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime by K. M. Annervaz et al
12-16-2021	Adaptation and Attention for Neural Video Coding by Nannan Zou et al
12-17-2021	Privacy preserving n-party scalar product protocol by Florian van Daalen et al
12-17-2021	Visual Learning-based Planning for Continuous High-Dimensional POMDPs by Sampada Deglurkar et al
12-17-2021	Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images by Tin Barisin et al
12-17-2021	Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits by Amina Asif et al
12-16-2021	ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning by Roberto Daza et al
12-16-2021	Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation by Enrico Marchesini et al
12-16-2021	Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN by Gengshi Han et al
12-15-2021	Model Stealing Attacks Against Inductive Graph Neural Networks by Yun Shen et al
12-14-2021	Learning to Guide and to Be Guided in the Architect-Builder Problem by Barde Paul et al
12-16-2021	A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code by Ho Young Jhoo et al
12-15-2021	Leveraging the structure of dynamical systems for data-driven modeling by Alessandro Bucci et al
12-15-2021	Robust Neural Network Classification via Double Regularization by Olof Zetterqvist et al
12-16-2021	Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification by Sung Hwan Mun et al
12-14-2021	Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module by Wei-Cheng Tseng et al
12-15-2021	Predictive Price-Performance Optimization for Serverless Query Processing by Rathijit Sen et al
12-15-2021	HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction by Hongzhun Wang et al
12-14-2021	Deep Generative Models for Vehicle Speed Trajectories by Farnaz Behnia et al
12-15-2021	Investigating myocardial infarction and its effects in patients with urgent medical problems using advanced data mining tools by Tanya Aghazadeh et al
12-16-2021	Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning by Trevor Ablett et al
12-16-2021	Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation by Futong Liu et al
12-15-2021	A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations by Tejas Y. Deo et al
12-14-2021	On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training by Chen Liu et al
12-15-2021	CPPE-5: Medical Personal Protective Equipment Dataset by Rishit Dagli et al
12-17-2021	Semi-Supervised Clustering via Markov Chain Aggregation by Sophie Steger et al
12-14-2021	CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions by Duc Anh Nguyen et al
12-17-2021	Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring by Efrén Rama-Maneiro et al
12-14-2021	Triangulation candidates for Bayesian optimization by Robert B. Gramacy et al
12-15-2021	Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data by Ke Chen et al
12-14-2021	Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games by Zuguang Gao et al
12-16-2021	Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data by Diyuan Lu et al
12-14-2021	Inductive Semi-supervised Learning Through Optimal Transport by Mourad El Hamri et al
12-15-2021	Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems by Tianyu Zhao et al
12-17-2021	ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks by Ziquan Fang et al
12-16-2021	CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning by Reent Schlegel et al
12-16-2021	Graph Structure Learning with Variational Information Bottleneck by Qingyun Sun et al
12-16-2021	Mitigating the Bias of Centered Objects in Common Datasets by Gergely Szabo et al
12-14-2021	Classification of histopathology images using ConvNets to detect Lupus Nephritis by Akash Gupta et al
12-16-2021	Unsupervised Reinforcement Learning in Multiple Environments by Mirco Mutti et al
12-16-2021	A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models by Saroj Gopali et al
12-17-2021	An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations by Glenn Maguire et al
12-14-2021	Cooperation for Scalable Supervision of Autonomy in Mixed Traffic by Cameron Hickert et al
12-15-2021	Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers by D. Aloini et al
12-15-2021	Predicting Levels of Household Electricity Consumption in Low-Access Settings by Simone Fobi et al
12-14-2021	Branching Time Active Inference with Bayesian Filtering by Théophile Champion et al
12-14-2021	EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation by Xingjun Li et al
12-17-2021	Stability Verification in Stochastic Control Systems via Neural Network Supermartingales by Mathias Lechner et al
12-17-2021	Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report) by Florent Delgrange et al
12-14-2021	Improving COVID-19 CXR Detection with Synthetic Data Augmentation by Daniel Schaudt et al
12-17-2021	Towards fuzzification of adaptation rules in self-adaptive architectures by Tomáš Bureš et al
12-15-2021	Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations by Gian Maria Campedelli et al
12-14-2021	SC-Reg: Training Overparameterized Neural Networks under Self-Concordant Regularization by Adeyemi D. Adeoye et al
12-14-2021	Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks by Avelino Javer et al
12-15-2021	Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics by Pan Zhao et al
12-16-2021	Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce by Pranavi Pathakota et al
12-15-2021	Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning by Juan Cruz Barsce et al
12-17-2021	Balancing Fairness and Robustness via Partial Invariance by Moulik Choraria et al
12-15-2021	Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients by Hanyin Wang et al
12-17-2021	From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization by Feijie Wu et al
12-16-2021	BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space by Sami Alabed et al
12-14-2021	Network Graph Based Neural Architecture Search by Zhenhan Huang et al
12-15-2021	Neural Network-based Power Flow Model by Thuan Pham et al
12-16-2021	Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding by Alejandro Morales-Hernández et al
12-17-2021	Learning in Restless Bandits under Exogenous Global Markov Process by Tomer Gafni et al
12-14-2021	Margin Calibration for Long-Tailed Visual Recognition by Yidong Wang et al
12-14-2021	How and Why to Manipulate Your Own Agent by Yoav Kolumbus et al
12-16-2021	Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference by Fritz M. Bayer et al
12-14-2021	Learning Connectivity-Maximizing Network Configurations by Daniel Mox et al
12-16-2021	DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems by Martin Rapp et al
12-14-2021	Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice by Kranthi Kumar Lella et al
12-14-2021	Bayesian Learning of Play Styles in Multiplayer Video Games by Aline Normoyle et al
12-17-2021	Autonomous Reinforcement Learning: Formalism and Benchmarking by Archit Sharma et al
12-15-2021	Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics by Surbhi Madan et al
12-16-2021	Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching by Xin Liu et al
12-15-2021	Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach by Yuebing Liang et al
12-15-2021	Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification by Lia Gander et al
12-16-2021	Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering by Nikhil Maddikunta et al
12-14-2021	Robust Graph Neural Networks via Probabilistic Lipschitz Constraints by Raghu Arghal et al
12-15-2021	Taming Overconfident Prediction on Unlabeled Data from Hindsight by Jing Li et al
12-15-2021	Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities by Eyke Hüllermeier
12-17-2021	Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks by Mariia Drozdova et al
12-15-2021	On the Convergence and Robustness of Adversarial Training by Yisen Wang et al
12-14-2021	Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis by Sanmitra Banerjee et al
12-16-2021	Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model by V. Sinitsin et al
12-15-2021	OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms by Leila Zahedi et al
12-16-2021	Two-view Graph Neural Networks for Knowledge Graph Completion by Vinh Tong et al
12-15-2021	BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing by Tianfeng Liu et al
12-16-2021	Learning to Share in Multi-Agent Reinforcement Learning by Yuxuan Yi et al
12-15-2021	Graph Representation Learning via Contrasting Cluster Assignments by Chunyang Zhang et al
12-16-2021	Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast by Linpu Jiang et al
12-16-2021	Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions by Muhammad Hamza et al
12-17-2021	A Binded VAE for Inorganic Material Generation by Fouad Oubari et al
12-16-2021	An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification by Lam Pham et al
12-16-2021	KnAC: an approach for enhancing cluster analysis with background knowledge and explanations by Szymon Bobek et al
12-14-2021	Unsupervised feature selection via self-paced learning and low-redundant regularization by Weiyi Li et al
12-15-2021	Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things by Berken Utku Demirel et al
12-14-2021	Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting by Donghui Chen et al
12-14-2021	ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval by Boxuan Zhang et al
12-15-2021	ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement by Hanqing Zhu et al
12-17-2021	Oil Spill SAR Image Segmentation via Probability Distribution Modelling by Fang Chen et al
12-15-2021	Advancing Residual Learning towards Powerful Deep Spiking Neural Networks by Yifan Hu et al
12-15-2021	Ten years of image analysis and machine learning competitions in dementia by Esther E. Bron et al
12-14-2021	Nonlinear Discrete-time Systems Identification without Persistence of Excitation: A Finite-time Concurrent Learning by Farzaneh Tatari et al
12-17-2021	Learning from Heterogeneous Data Based on Social Interactions over Graphs by Virginia Bordignon et al
12-14-2021	Adversarial Examples for Extreme Multilabel Text Classification by Mohammadreza Qaraei et al
12-16-2021	Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions by Jonathan M. Goodwill et al
12-14-2021	Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning by Colin Bellinger et al
12-14-2021	TAFA: Design Automation of Analog Mixed-Signal FIR Filters Using Time Approximation Architecture by Shiyu Su et al
12-14-2021	Analog/Mixed-Signal Circuit Synthesis Enabled by the Advancements of Circuit Architectures and Machine Learning Algorithms by Shiyu Su et al
12-15-2021	Online Feature Selection for Efficient Learning in Networked Systems by Xiaoxuan Wang et al
12-14-2021	Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net by Yujia Ding et al
12-16-2021	On Optimizing Interventions in Shared Autonomy by Weihao Tan et al
12-15-2021	Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach by Setareh Ariafar et al
12-14-2021	Responsive parallelized architecture for deploying deep learning models in production environments by Nikhil Verma et al
12-15-2021	Deep Generative Models for Geometric Design Under Uncertainty by Wei et al
12-15-2021	COVID-19 Electrocardiograms Classification using CNN Models by Ismail Shahin et al
12-15-2021	SanMove: Next Location Recommendation via Self-Attention Network by Huifeng Li et al
12-14-2021	Sensor Sampling Trade-Offs for Air Quality Monitoring With Low-Cost Sensors by Pau Ferrer-Cid et al
12-14-2021	Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation by Volodymyr Kuleshov et al
12-14-2021	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework by Xupeng Miao et al