2021.9.20 Learning papers

09-16-2021	DisUnknown: Distilling Unknown Factors for Disentanglement Learning by Sitao Xiang et al
09-17-2021	Context-aware Retail Product Recommendation with Regularized Gradient Boosting by Sourya Dipta Das et al
09-15-2021	Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel by Henrique Teles Maia et al
09-16-2021	An End-to-End Transformer Model for 3D Object Detection by Ishan Misra et al
09-16-2021	MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks by A. Nandy et al
09-15-2021	Adaptive Control of Quadratic Costs in Linear Stochastic Differential Equations by Mohamad Kazem Shirani Faradonbeh et al
09-16-2021	KATANA: Simple Post-Training Robustness Using Test Time Augmentations by Gilad Cohen et al
09-15-2021	Learning Mathematical Properties of Integers by Maria Ryskina et al
09-15-2021	Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior by Haya Elayan et al
09-17-2021	Slot Filling for Biomedical Information Extraction by Yannis Papanikolaou et al
09-14-2021	Targeted Cross-Validation by Jiawei Zhang et al
09-14-2021	Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification by Meng Xiao et al
09-14-2021	How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search by Lianbo Ma et al
09-14-2021	Non-linear Independent Dual System (NIDS) for Discretization-independent Surrogate Modeling over Complex Geometries by James Duvall et al
09-14-2021	Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization by Lili Wang et al
09-14-2021	Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS by Adina D. Feinstein et al
09-15-2021	End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs by Dinesh Raghu et al
09-16-2021	Reframing Instructional Prompts to GPTks Language by Swaroop Mishra et al
09-16-2021	Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation by Stefania Ionescu et al
09-16-2021	Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data by Jun Chen et al
09-16-2021	Associative Memories via Predictive Coding by Tommaso Salvatori et al
09-14-2021	PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models by Bing He et al
09-14-2021	Benchmarking the Spectrum of Agent Capabilities by Danijar Hafner
09-14-2021	Multiple shooting with neural differential equations by Evren Mert Turan et al
09-16-2021	Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery by Annika Brundyn et al
09-14-2021	Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition by Felix Wu et al
09-15-2021	Machine-Learned HASDM Model with Uncertainty Quantification by Richard J. Licata et al
09-16-2021	Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? by Milagros Miceli et al
09-16-2021	Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications by Brian Kim et al
09-16-2021	A Machine Learning Framework for Automatic Prediction of Human Semen Motility by Sandra Ottl et al
09-15-2021	EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation by Chenhe Dong et al
09-14-2021	HeMI: Multi-view Embedding in Heterogeneous Graphs by Costas Mavromatis et al
09-14-2021	Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space by Justinas Antanavicius et al
09-16-2021	Dropouts Dream Land: Generalization from Learned Simulators to Reality by Zac Wellmer et al
09-17-2021	Learning Enhanced Optimisation for Routing Problems by Nasrin Sultana et al
09-17-2021	Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules by Forough Arabshahi et al
09-16-2021	Deep Spiking Neural Networks with Resonate-and-Fire Neurons by Badr AlKhamissi et al
09-16-2021	Reinforcement Learning on Encrypted Data by Alberto Jesu et al
09-14-2021	Reactive and Safe Road User Simulations using Neural Barrier Certificates by Yue Meng et al
09-14-2021	Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment by Lukas Graf et al
09-17-2021	TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models by Udo Schlegel et al
09-14-2021	Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data by Hari Prasanna Das et al
09-14-2021	A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages by Reyhane Abarghooie et al
09-16-2021	Conservative Data Sharing for Multi-Task Offline Reinforcement Learning by Tianhe Yu et al
09-14-2021	Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments by Eshagh Kargar et al
09-16-2021	Frame by frame completion probability of an NFL pass by Gustavo Pompeu da Silva et al
09-15-2021	Federated Learning of Molecular Properties in a Heterogeneous Setting by Wei Zhu et al
09-15-2021	Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty by Wolfram Barfuss et al
09-15-2021	Integrating Sensing and Communication in Cellular Networks via NR Sidelink by Dariush Salami et al
09-15-2021	Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem by Fabio Sanches et al
09-15-2021	Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD by Chen Fan et al
09-15-2021	On-the-Fly Ensemble Pruning in Evolving Data Streams by Sanem Elbasi et al
09-14-2021	A machine-learning framework for daylight and visual comfort assessment in early design stages by Hanieh Nourkojouri et al
09-15-2021	Automatic Symmetry Discovery with Lie Algebra Convolutional Network by Nima Dehmamy et al
09-15-2021	WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction by Atsushi Yanagisawa et al
09-14-2021	Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data by Wentai Wu et al
09-16-2021	Probability-driven scoring functions in combining linear classifiers by Pawel Trajdos et al
09-14-2021	Towards optimized actions in critical situations of soccer games with deep reinforcement learning by Pegah Rahimian et al
09-15-2021	Self-learn to Explain Siamese Networks Robustly by Chao Chen et al
09-14-2021	LRWR: Large-Scale Benchmark for Lip Reading in Russian language by Evgeniy Egorov et al
09-16-2021	Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer by Yae Jee Cho et al
09-17-2021	New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT by Lukas Galke et al
09-16-2021	Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation by Haruka Kiyohara et al
09-16-2021	Urdu text in natural scene images: a new dataset and preliminary text detection by Hazrat Ali et al
09-15-2021	Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph by Sameer Bansal et al
09-16-2021	Strategic Ranking by Lydia T. Liu et al
09-14-2021	DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning by Satheesh K. Perepu et al
09-15-2021	F-CAM: Full Resolution CAM via Guided Parametric Upscaling by Soufiane Belharbi et al
09-15-2021	Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data by Antoine Godichon-Baggioni et al
09-17-2021	Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns by Yuebing Liang et al
09-14-2021	Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems by Yinghan Long et al
09-14-2021	Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds by Dariush Salami et al
09-14-2021	Deep hierarchical reinforcement agents for automated penetration testing by Khuong Tran et al
09-16-2021	Detection Accuracy for Evaluating Compositional Explanations of Units by Sayo M. Makinwa et al
09-16-2021	Decision Tree Learning with Spatial Modal Logics by Giovanni Pagliarini et al
09-14-2021	Scalable Average Consensus with Compressed Communications by Mohammad Taha Toghani et al
09-16-2021	SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning by Michael Crawshaw et al
09-16-2021	Improving Regression Uncertainty Estimation Under Statistical Change by Tony Tohme et al
09-16-2021	Beyond Average Performance -- exploring regions of deviating performance for black box classification models by Luis Torgo et al
09-16-2021	Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers by Zi Wang et al
09-17-2021	Self-Supervised Neural Architecture Search for Imbalanced Datasets by Aleksandr Timofeev et al
09-16-2021	On the inductive biases of deep domain adaptation by Rodrigue Siry et al
09-14-2021	One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification by Jedrzej Kozerawski et al
09-14-2021	Performance of a Markovian neural network versus dynamic programming on a fishing control problem by Mathieu Laurière et al
09-16-2021	Policy Choice and Best Arm Identification: Comments on Adaptive Treatment Assignment in Experiments for Policy Choice by Kaito Ariu et al
09-17-2021	Graph Learning for Cognitive Digital Twins in Manufacturing Systems by Trier Mortlock et al
09-14-2021	Reconstruction on Trees and Low-Degree Polynomials by Frederic Koehler et al
09-16-2021	Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health by Aditya Mate et al
09-16-2021	Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension by Himanshu Gupta et al
09-16-2021	Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks by Nasim Baharisangari et al
09-15-2021	NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices by Lander Segurola-Gil et al
09-15-2021	DROMO: Distributionally Robust Offline Model-based Policy Optimization by Ruizhen Liu et al
09-17-2021	SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining by Stephan A. Fahrenkrog-Petersen et al
09-14-2021	Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE) by Sutanu Bhowmick et al
09-14-2021	Deploying clinical machine learning? Consider the following.. by Charles Lu et al
09-14-2021	Network representation learning systematic review: ancestors and current development state by Amina Amara et al
09-17-2021	Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting by Lukas Lange et al
09-14-2021	Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback by Ishaan Shah et al
09-17-2021	Soft Actor-Critic With Integer Actions by Ting-Han Fan et al
09-15-2021	What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation by Christian Geishauser et al
09-14-2021	Exploring the Connection between Knowledge Distillation and Logits Matching by Defang Chen et al
09-14-2021	Explainable Identification of Dementia from Transcripts using Transformer Networks by Loukas Ilias et al
09-17-2021	An open GPS trajectory dataset and benchmark for travel mode detection by Jinyu Chen et al
09-14-2021	IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems by David Pujol-Perich et al
09-16-2021	A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues by Abeer Dyoub et al
09-14-2021	HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO by Katharina Eggensperger et al
09-16-2021	Learning logic programs through divide, constrain, and conquer by Andrew Cropper
09-17-2021	Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields by Tatsuya Koyakumaru et al
09-17-2021	Primer: Searching for Efficient Transformers for Language Modeling by David R. So et al
09-16-2021	Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet by Jiguang He et al
09-16-2021	Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns by Prasanth Buddareddygari et al
09-16-2021	SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models by Simon Ott et al
09-15-2021	Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach by Aboli Marathe et al
09-15-2021	Neural network optimal feedback control with enhanced closed loop stability by Tenavi Nakamura-Zimmerer et al
09-15-2021	Modern Cybersecurity Solution using Supervised Machine Learning by Mustafa Sakhai et al
09-16-2021	Self-supervised Contrastive Learning for EEG-based Sleep Staging by Xue Jiang et al
09-14-2021	Self-Training with Differentiable Teacher by Simiao Zuo et al
09-14-2021	Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG by Juraj Juraska et al
09-15-2021	Parallel Constraint-Driven Inductive Logic Programming by Andrew Cropper et al
09-15-2021	Optimal Cycling of a Heterogenous Battery Bank via Reinforcement Learning by Vivek Deulkar et al
09-14-2021	Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics by Rahul Ghosh et al
09-14-2021	Learning to Navigate Intersections with Unsupervised Driver Trait Inference by Shuijing Liu et al
09-16-2021	Explainability Requires Interactivity by Matthias Kirchler et al
09-16-2021	OMPQ: Orthogonal Mixed Precision Quantization by Yuexiao Ma et al
09-16-2021	Humanly Certifying Superhuman Classifiers by Qiongkai Xu et al
09-15-2021	On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation by Dan Iter et al
09-16-2021	Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos by Ling Chen et al
09-15-2021	Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series by Asif Rahman et al
09-17-2021	Discriminative Similarity for Data Clustering by Yingzhen Yang et al
09-17-2021	Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck by Guillermo Grande et al
09-14-2021	A geometric perspective on functional outlier detection by Moritz Herrmann et al
09-17-2021	Micro-architectural Analysis of a Learned Index by Mikkel Møller Andersen et al
09-16-2021	A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint by Şeymanur Aktı et al
09-16-2021	Machine learning with quantum field theories by Dimitrios Bachtis et al
09-16-2021	WildWood: a new Random Forest algorithm by Stéphane Gaïffas et al
09-15-2021	Deep Bregman Divergence for Contrastive Learning of Visual Representations by Mina Rezaei et al
09-15-2021	Comparing Text Representations: A Theory-Driven Approach by Gregory Yauney et al
09-14-2021	Dodging Attack Using Carefully Crafted Natural Makeup by Nitzan Guetta et al
09-17-2021	Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning by Alberto Rech et al
09-14-2021	Deep Denerative Models for Drug Design and Response by Karina Zadorozhny et al
09-15-2021	Universal Adversarial Attack on Deep Learning Based Prognostics by Arghya Basak et al
09-15-2021	Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs by Nils Wandel et al
09-15-2021	Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition by Shuyun Tang et al
09-16-2021	Soft Confusion Matrix Classifier for Stream Classification by Pawel Trajdos et al
09-14-2021	Learning Density Distribution of Reachable States for Autonomous Systems by Yue Meng et al
09-16-2021	Building an Ensemble of Classifiers via Randomized Models of Ensemble Members by Pawel Trajdos et al

09-16-2021	PDBench: Evaluating Computational Methods for Protein Sequence Design by Leonardo V. Castorina et al
09-16-2021	Towards agricultural autonomy: crop row detection under varying field conditions using deep learning by Rajitha de Silva et al
09-16-2021	Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression by Masaki Morimoto et al
09-16-2021	RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning by Adarsh Kumar Kosta et al
09-14-2021	Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data by Daniel Precioso et al
09-14-2021	Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning by Constantinos Chamzas et al
09-15-2021	BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales by Yunyao Zhu et al
09-15-2021	Federated Submodel Averaging by Yucheng Ding et al
09-15-2021	SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving by Wele Gedara Chaminda Bandara et al
09-15-2021	A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation by S. M. Kamrul Hasan et al
09-15-2021	When Does Translation Require Context? A Data-driven, Multilingual Exploration by Kayo Yin et al
09-15-2021	Challenges in Detoxifying Language Models by Johannes Welbl et al
09-16-2021	Subtle Inverse Crimes: Na\ively training machine learning algorithms could lead to overly-optimistic results by Efrat Shimron et al
09-15-2021	Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative by Lucio M. Dery et al
09-16-2021	Telehealthcare and Covid-19: A Noninvasive & Low Cost Invasive, Scalable and Multimodal Real-Time Smartphone Application for Early Diagnosis of SARS-CoV-2 Infection by Abdullah Bin Shams et al
09-14-2021	Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling by Mehmet Emre Ozfatura et al
09-14-2021	COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification by Audrey Chung et al
09-16-2021	Membership Inference Attacks Against Recommender Systems by Minxing Zhang et al
09-15-2021	Behavior of Keyword Spotting Networks Under Noisy Conditions by Anwesh Mohanty et al
09-15-2021	Subspace Learning for Personalized Federated Optimization by Seok-Ju Hahn et al
09-15-2021	Adversarially Regularized Policy Learning Guided by Trajectory Optimization by Zhigen Zhao et al
09-15-2021	Towards Zero-shot Cross-lingual Image Retrieval and Tagging by Pranav Aggarwal et al
09-15-2021	DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning by Daniel Seita et al
09-17-2021	From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba by Xinyuan Qi et al
09-16-2021	Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs by Anup Sarma et al
09-15-2021	Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+Node2vec+ by Renming Liu et al
09-15-2021	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting by Harshavardhan Kamarthi et al
09-15-2021	Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys by Aziz Koçanaoğulları et al
09-15-2021	How to use KL-divergence to construct conjugate priors, with well-defined non-informative limits, for the multivariate Gaussian by Niko Brümmer
09-14-2021	Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning by Chanho Park et al
09-14-2021	Structure-Enhanced Pop Music Generation via Harmony-Aware Learning by Xueyao Zhang et al
09-14-2021	A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients by Adam Izdebski et al
09-17-2021	Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping by Elchanan Zwecher et al
09-16-2021	Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views by Robert McCraith et al
09-16-2021	Efficient Scaling of Dynamic Graph Neural Networks by Venkatesan T. Chakaravarthy et al
09-14-2021	Building Accurate Simple Models with Multihop by Amit Dhurandhar et al
09-17-2021	Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach by Minghao Li et al
09-16-2021	AdaLoss: A computationally-efficient and provably convergent adaptive gradient method by Xiaoxia Wu et al
09-14-2021	Behavior of k-NN as an Instance-Based Explanation Method by Chhavi Yadav et al
09-15-2021	SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations by Hooman Sedghamiz et al
09-15-2021	Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs by Dinesh Raghu et al
09-15-2021	Disentangling Generative Factors of Physical Fields Using Variational Autoencoders by Christian Jacobsen et al
09-15-2021	RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs by Anahita Iravanizad et al
09-15-2021	CounterNet: End-to-End Training of Counterfactual Aware Predictions by Hangzhi Guo et al
09-14-2021	Nonlinearities in Steerable SO(2)-Equivariant CNNs by Daniel Franzen et al
09-14-2021	The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays by Rachael Harkness et al
09-14-2021	Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning by Violeta Teodora Trifunov et al
09-15-2021	Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup by Guang Liu et al
09-15-2021	Balancing detectability and performance of attacks on the control channel of Markov Decision Processes by Alessio Russo et al
09-15-2021	Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior by Gaël Poux-Médard et al
09-15-2021	A Column Streaming-Based Convolution Engine and Mapping Algorithm for CNN-based Edge AI accelerators by Weison Lin et al
09-14-2021	WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management by Saeed Marzban et al
09-16-2021	Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data by Ines Machado et al
09-14-2021	Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation by Xin Zheng et al
09-17-2021	Accurate, Interpretable, and Fast Animation: AnIterative, Sparse, and Nonconvex Approach by Stevo Rackovic et al
09-16-2021	A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization by Kaan Gokcesu et al
09-17-2021	A Fairness Analysis on Private Aggregation of Teacher Ensembles by Cuong Tran et al
09-14-2021	Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions by M. Amine Bennouna et al
09-17-2021	Distilling Linguistic Context for Language Model Compression by Geondo Park et al
09-16-2021	Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch by Paul Tarau
09-16-2021	Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires by Bryan Lim et al
09-14-2021	LM-Critic: Language Models for Unsupervised Grammatical Error Correction by Michihiro Yasunaga et al
09-14-2021	Few-shot Quality-Diversity Optimisation by Achkan Salehi et al
09-14-2021	Types of Out-of-Distribution Texts and How to Detect Them by Udit Arora et al
09-14-2021	Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document by Shaden Shaar et al
09-15-2021	Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators by Geonhwa Jeong et al
09-15-2021	Non-smooth Bayesian Optimization in Tuning Problems by Hengrui Luo et al
09-16-2021	Semi-Supervised Visual Representation Learning for Fashion Compatibility by Ambareesh Revanur et al
09-16-2021	Hard to Forget: Poisoning Attacks on Certified Machine Unlearning by Neil G. Marchant et al
09-15-2021	Estimation of Warfarin Dosage with Reinforcement Learning by Arpita Vats
09-15-2021	Back to Basics: Deep Reinforcement Learning in Traffic Signal Control by Sierk Kanis et al
09-15-2021	Cross-lingual Transfer of Monolingual Models by Evangelia Gogoulou et al
09-15-2021	The potential of self-supervised networks for random noise suppression in seismic data by Claire Birnie et al
09-16-2021	Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs by S. Vijayaraghavan et al
09-15-2021	Distribution-free Contextual Dynamic Pricing by Yiyun Luo et al
09-17-2021	Achieving Model Fairness in Vertical Federated Learning by Changxin Liu Zirui Zhou Yang Shi et al
09-14-2021	Exploration in Deep Reinforcement Learning: A Comprehensive Survey by Tianpei Yang et al
09-14-2021	Greenformer: Factorization Toolkit for Efficient Deep Neural Networks by Samuel Cahyawijaya et al
09-14-2021	Statistical limits of dictionary learning: random matrix theory and the spectral replica method by Jean Barbier et al
09-17-2021	Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration by Oliver Groth et al
09-17-2021	Enforcing fairness in private federated learning via the modified method of differential multipliers by Borja Rodríguez-Gálvez et al
09-16-2021	Scaling Laws for Neural Machine Translation by Behrooz Ghorbani et al
09-16-2021	Optimal Probing with Statistical Guarantees for Network Monitoring at Scale by Muhammad Jehangir Amjad et al
09-17-2021	Knowledge is reward: Learning optimal exploration by predictive reward cashing by Luca Ambrogioni
09-15-2021	Multi View Spatial-Temporal Model for Travel Time Estimation by ZiChuan Liu et al
09-15-2021	Matching with Transformers in MELT by Sven Hertling et al
09-15-2021	Multi-Task Learning with Sequence-Conditioned Transporter Networks by Michael H. Lim et al
09-14-2021	Differentiable Physics: A Position Piece by Bharath Ramsundar et al
09-14-2021	Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs by Yuandong Wang et al
09-16-2021	Directed degree corrected mixed membership model and estimating community memberships in directed networks by Huan Qing
09-14-2021	An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data by Harry J. Davies et al
09-17-2021	Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning by Tianpei Liao et al
09-15-2021	Fermion Sampling Made More Efficient by Haoran Sun et al
09-16-2021	Efficient Differentiable Simulation of Articulated Bodies by Yi-Ling Qiao et al
09-14-2021	ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization by Stenzel Cackowski et al
09-14-2021	Generalized XGBoost Method by Yang Guang
09-16-2021	Sparse Factorization of Large Square Matrices by Ruslan Khalitov et al
09-16-2021	Interpretable Local Tree Surrogate Policies by John Mern et al
09-17-2021	Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching by Tahseen Rabbani et al
09-14-2021	A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence by Paris Koloveas et al
09-17-2021	A review of deep learning methods for MRI reconstruction by Arghya Pal et al
09-16-2021	End-to-End Partially Observable Visual Navigation in a Diverse Environment by Bo Ai et al
09-16-2021	ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations by Ruohan Gao et al
09-16-2021	KnowMAN: Weakly Supervised Multinomial Adversarial Networks by Luisa März et al
09-14-2021	What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey by Md Rayhanur Rahman et al
09-17-2021	Measuring Fairness under Unawareness via Quantification by Alessandro Fabris et al
09-15-2021	Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis by Wei Zhu et al
09-15-2021	Federated Contrastive Learning for Decentralized Unlabeled Medical Images by Nanqing Dong et al
09-17-2021	Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback by Anam Tahir et al
09-14-2021	Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches by Wei-Yao Wang et al
09-15-2021	Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling by Jiamin Yu
09-15-2021	DeFungi: Direct Mycological Examination of Microscopic Fungi Images by Camilo Javier Pineda Sopo et al
09-15-2021	FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining by Zhoujun Cheng et al
09-15-2021	PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching by Roee Shraga et al
09-16-2021	Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning by Sarah Rathnam et al
09-16-2021	OpenFed: An Open-Source Security and Privacy Guaranteed Federated Learning Framework by Chen Dengsheng
09-15-2021	ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI by Guanxiong Chen et al
09-15-2021	The Neural Metric Factorization for Computational Drug Repositioning by Xinxing Yang et al
09-16-2021	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research by Chris Cummins et al
09-14-2021	Instance-wise Graph-based Framework for Multivariate Time Series Forecasting by Wentao Xu et al
09-14-2021	Simulations in Recommender Systems: An industry perspective by Lucas Bernardi et al
09-14-2021	Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization by Pinyuan Zhong et al
09-17-2021	Online Learning of Network Bottlenecks via Minimax Paths by Niklas Åkerblom et al
09-14-2021	Predicting Loss Risks for B2B Tendering Processes by Eelaaf Zahid et al
09-14-2021	Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits by Zhongjie Yu et al
09-16-2021	Transferable Persona-Grounded Dialogues via Grounded Minimal Edits by Chen Henry Wu et al
09-16-2021	A Cautionary Tale of Decorrelating Theory Uncertainties by Aishik Ghosh et al
09-15-2021	Discovering Useful Compact Sets of Sequential Rules in a Long Sequence by Erwan Bourrand et al
09-15-2021	Tied & Reduced RNN-T Decoder by Rami Botros et al
09-15-2021	Modular Neural Ordinary Differential Equations by Max Zhu et al
09-15-2021	Comparing decision mining approaches with regard to the meaningfulness of their results by Beate Scheibel et al
09-14-2021	Avengers Ensemble! Improving Transferability of Authorship Obfuscation by Muhammad Haroon et al
09-14-2021	Embedding Node Structural Role Identity Using Stress Majorization by Lili Wang et al
09-16-2021	DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT by Mingyuan Meng et al
09-17-2021	An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention by Yeachan Kim et al
09-14-2021	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation by Chuangchuang Sun et al