2021.5.17 Learning papers

05-13-2021	Neighborhood-Aware Neural Architecture Search by Xiaofang Wang et al
05-12-2021	Cyclically Equivariant Neural Decoders for Cyclic Codes by Xiangyu Chen et al
05-12-2021	Evaluating Gender Bias in Natural Language Inference by Shanya Sharma et al
05-12-2021	Anomaly Detection via Controlled Sensing and Deep Active Inference by Geethu Joseph et al
05-12-2021	Latent Event-Predictive Encodings through Counterfactual Regularization by Dania Humaidan et al
05-12-2021	A function approximation approach to the prediction of blood glucose levels by H. N. Mhaskar et al
05-11-2021	Multi-version Tensor Completion for Time-delayed Spatio-temporal Data by Cheng Qian et al
05-12-2021	Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models by Kimmo Kärkkäinen et al
05-12-2021	Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks by Lai Wei et al
05-12-2021	An Open-Source Tool for Classification Models in Resource-Constrained Hardware by Lucas Tsutsui da Silva et al
05-12-2021	High-Dimensional Experimental Design and Kernel Bandits by Romain Camilleri et al
05-12-2021	Learning Graphs from Smooth Signals under Moment Uncertainty by Xiaolu Wang et al
05-13-2021	Paying Attention to Astronomical Transients: Photometric Classification with the Time-Series Transformer by Tarek Allam et al
05-13-2021	Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving by Arash Mohammadhasani et al
05-13-2021	Distilling BERT for low complexity network training by Bansidhar Mangalwedhekar
05-13-2021	Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs by Lorena Qendro et al
05-11-2021	Leveraging Sparse Linear Layers for Debuggable Deep Networks by Eric Wong et al
05-13-2021	Causally-motivated Shortcut Removal Using Auxiliary Labels by Maggie Makar et al
05-13-2021	Using Self-Supervised Co-Training to Improve Facial Representation by Mahdi Pourmirzaei et al
05-13-2021	Audio Captioning with Composition of Acoustic and Semantic Information by Ayşegül Özkaya Eren et al
05-14-2021	COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images by Maya Pavlova et al
05-13-2021	Quantized Proximal Averaging Network for Analysis Sparse Coding by Kartheek Kumar Reddy Nareddy et al
05-11-2021	Characterizing GAN Convergence Through Proximal Duality Gap by Sahil Sidheekh et al
05-12-2021	Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes by Hans Weytjens et al
05-12-2021	Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias by Guy Hacohen et al
05-12-2021	Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time by Yu Cheng et al
05-11-2021	Factoring Multidimensional Data to Create a Sophisticated Bayes Classifier by Anthony LaTorre
05-11-2021	TAG: Task-based Accumulated Gradients for Lifelong learning by Pranshu Malviya et al
05-12-2021	Playing Codenames with Language Graphs and Word Embeddings by Divya Koyyalagunta et al
05-12-2021	A Graph Neural Network Approach for Product Relationship Prediction by Faez Ahmed et al
05-12-2021	Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning by Yann Fraboni et al
05-11-2021	Stochastic Formulation of Causal Digital Twin: Kalman Filter Algorithm by PG Madhavan
05-14-2021	Predicting speech intelligibility from EEG using a dilated convolutional network by Bernd Accou et al
05-13-2021	Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss by Elisa Ferrari et al
05-11-2021	A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems by Damiano Brunori et al
05-13-2021	DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision by Shiyi Lan et al
05-11-2021	Improving the Transient Times for Distributed Stochastic Gradient Methods by Kun Huang et al
05-13-2021	PassFlow: Guessing Passwords with Generative Flows by Giulio Pagnotta et al
05-12-2021	Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective by Bin Liu
05-13-2021	HeunNet: Extending ResNet using Heuns Methods by Mehrdad Maleki et al
05-12-2021	Why Does Multi-Epoch Training Help? by Yi Xu et al
05-11-2021	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes by Mathieu Léonardon et al
05-11-2021	Frequent Pattern Mining in Continuous-time Temporal Networks by Ali Jazayeri et al
05-11-2021	Visual Perspective Taking for Opponent Behavior Modeling by Boyuan Chen et al
05-11-2021	A Twin Neural Model for Uplift by Mouloud Belbahri et al
05-13-2021	Not All Memories are Created Equal: Learning to Forget by Expiring by Sainbayar Sukhbaatar et al
05-13-2021	Internet of Things (IoT) Based Video Analytics: a use case of Smart Doorbell by Shailesh Arya
05-14-2021	Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence by Jiaqi Zhang et al
05-14-2021	Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets by Max Ryabinin et al
05-11-2021	Comparing interpretability and explainability for feature selection by Jack Dunn et al
05-13-2021	Identity testing of reversible Markov chains by Sela Fried et al
05-13-2021	Adaptive Test-Time Augmentation for Low-Power CPU by Luca Mocerino et al
05-13-2021	Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images by Afshin Bozorgpour et al
05-12-2021	An efficient projection neural network for ℓ1ℓ1-regularized logistic regression by Majid Mohammadi et al
05-11-2021	On the Renyi Differential Privacy of the Shuffle Model by Antonious M. Girgis et al
05-13-2021	On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks by Hancheng Min et al
05-11-2021	Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base by Yu Guo
05-14-2021	Long Short-term Memory RNN by Christian Bakke Vennerød et al
05-14-2021	Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning by Cor Steging et al
05-11-2021	GANs for Medical Image Synthesis: An Empirical Study by Youssef Skandarani et al
05-11-2021	Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach by Pawan Goyal et al
05-12-2021	Interpretable performance analysis towards offline reinforcement learning: A dataset perspective by Chenyang Xi et al
05-13-2021	SyntheticFur dataset for neural rendering by Trung Le et al
05-12-2021	Lightweight compression of neural network feature tensors for collaborative intelligence by Robert A. Cohen et al
05-13-2021	Likelihoods and Parameter Priors for Bayesian Networks by David Heckerman et al
05-12-2021	A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area by Robin Thibaut et al
05-12-2021	Winograd Algorithm for AdderNet by Wenshuo Li et al
05-13-2021	Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets by Chuanlong Li
05-12-2021	Improving Code Autocompletion with Transfer Learning by Wen Zhou et al
05-12-2021	Multilingual Offensive Language Identification for Low-resource Languages by Tharindu Ranasinghe et al
05-12-2021	Kernel Thinning by Raaz Dwivedi et al
05-11-2021	Pruning of Deep Spiking Neural Networks through Gradient Rewiring by Yanqi Chen et al
05-12-2021	Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task by Ruben Cardoso et al
05-14-2021	A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement by Jose Jurandir Alves Esteves et al
05-11-2021	VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning by Adrien Bardes et al
05-13-2021	Graph Learning based Recommender Systems: A Review by Shoujin Wang et al
05-11-2021	Benchmarking down-scaled (not so large) pre-trained language models by M. Aßenmacher et al
05-13-2021	OpenFL: An open-source framework for Federated Learning by G Anthony Reina et al
05-11-2021	Diffusion Models Beat GANs on Image Synthesis by Prafulla Dhariwal et al
05-12-2021	GIPA: General Information Propagation Algorithm for Graph Learning by Qinkai Zheng et al
05-13-2021	Emergent Prosociality in Multi-Agent Games Through Gifting by Woodrow Z. Wang et al
05-12-2021	Joint Community Detection and Rotational Synchronization via Semidefinite Programming by Yifeng Fan et al
05-12-2021	When Does Contrastive Visual Representation Learning Work? by Elijah Cole et al
05-13-2021	Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition by Khin Me Me Chit et al
05-12-2021	Look-Ahead Screening Rules for the Lasso by Johan Larsson
05-13-2021	HiDeNN-PGD: reduced-order hierarchical deep learning neural networks by Lei Zhang et al
05-12-2021	An Empirical Experiment on Deep Learning Models for Predicting Traffic Data by Hyunwook Lee et al
05-12-2021	Priberam at MESINESP Multi-label Classification of Medical Texts Task by Ruben Cardoso et al
05-12-2021	Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization by Damien Teney et al
05-11-2021	Hermitian Symmetric Spaces for Graph Embeddings by Federico López et al
05-14-2021	Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations by Matthew Watson et al
05-13-2021	Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies by Dushyant Sahoo et al
05-11-2021	Variational Auto Encoder Gradient Clustering by Adam Lindhe et al
05-13-2021	Bootstrapping User and Item Representations for One-Class Collaborative Filtering by Dongha Lee et al
05-13-2021	Learning symbol relation tree for online mathematical expression recognition by Thanh-Nghia Truong et al
05-11-2021	Deep scattering network for speech emotion recognition by Premjeet Singh et al
05-14-2021	Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection by Cangning Fan et al
05-13-2021	Editing Conditional Radiance Fields by Steven Liu et al
05-13-2021	3D Spatial Recognition without Spatially Labeled 3D by Zhongzheng Ren et al
05-12-2021	House Price Prediction using Satellite Imagery by Sina Jandaghi Semnani et al
05-13-2021	SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles by Ana-Cristina Rogoz et al
05-12-2021	Learning to Generate Novel Scene Compositions from Single Images and Videos by Vadim Sushko et al
05-12-2021	Principled Exploration via Optimistic Bootstrapping and Backward Induction by Chenjia Bai et al
05-14-2021	RC2020 Report: Learning De-biased Representations with Biased Representations by Rwiddhi Chakraborty et al
05-11-2021	Spectral risk-based learning using unbounded losses by Matthew J. Holland et al
05-12-2021	On risk-based active learning for structural health monitoring by A. J. Hughes et al
05-11-2021	Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation by Onder Eyecioglu et al
05-13-2021	Sanity Simulations for Saliency Methods by Joon Sik Kim et al
05-13-2021	Leveraging Non-uniformity in First-order Non-convex Optimization by Jincheng Mei et al
05-13-2021	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks by Menghui Zhu et al
05-14-2021	DoS and DDoS Mitigation Using Variational Autoencoders by Eirik Molde Bårli et al
05-12-2021	Automatic Classification of Games using Support Vector Machine by Ismo Horppu et al
05-12-2021	Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction by Gyubok Lee et al
05-14-2021	A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution by Qing Ma et al
05-11-2021	Accuracy-Privacy Trade-off in Deep Ensemble by Shahbaz Rezaei et al
05-12-2021	Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control by Feng Wang et al
05-11-2021	Global Convergence of Three-layer Neural Networks in the Mean Field Regime by Huy Tuan Pham et al
05-12-2021	Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition by Bhargav Pulugundla et al
05-14-2021	Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations by Xiaolong Fan et al
05-14-2021	Priors in Bayesian Deep Learning: A Review by Vincent Fortuin
05-14-2021	Privacy-preserving Logistic Regression with Secret Sharing by Ali Reza Ghavamipour et al
05-13-2021	SIDE: I Infer the State I Want to Learn by Zhiwei Xu et al
05-11-2021	Learning Implicit Temporal Alignment for Few-shot Video Classification by Songyang Zhang et al
05-14-2021	Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL by Kei Akuzawa et al

05-13-2021	Feature Interactions on Steroids: On the Composition of ML Models by Christian Kästner et al
05-13-2021	An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings by Hemank Lamba et al
05-13-2021	Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models by Thomas J. Elliott
05-12-2021	A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing by Geethu Joseph et al
05-12-2021	Compatibility-aware Heterogeneous Visual Search by Rahul Duggal et al
05-13-2021	Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning by Hui Wang et al
05-12-2021	On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems by Wagner Gonçalves Pinto et al
05-11-2021	Addressing Documentation Debt in Machine Learning Research: A Retrospective Datasheet for BookCorpus by Jack Bandy et al
05-11-2021	Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective by Florin Gogianu et al
05-12-2021	An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization by Lunchen Xie et al
05-13-2021	Ordering-Based Causal Discovery with Reinforcement Learning by Xiaoqiang Wang et al
05-14-2021	Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction by Guofeng Lv et al
05-13-2021	Online Algorithms and Policies Using Adaptive and Machine Learning Approaches by Anuradha M. Annaswamy et al
05-13-2021	Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources by E. A. Huerta et al
05-14-2021	XAI Handbook: Towards a Unified Framework for Explainable AI by Sebastian Palacio et al
05-11-2021	Rationalization through Concepts by Diego Antognini et al
05-14-2021	Posterior Regularisation on Bayesian Hierarchical Mixture Clustering by Weipeng Huang et al
05-12-2021	An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet by Xintong Yang et al
05-12-2021	Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches by Albara Ah Ramli et al
05-12-2021	Model Pruning Based on Quantified Similarity of Feature Maps by Zidu Wang et al
05-14-2021	Do Context-Aware Translation Models Pay the Right Attention? by Kayo Yin et al
05-11-2021	Return-based Scaling: Yet Another Normalisation Trick for Deep RL by Tom Schaul et al
05-12-2021	Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks by Dian Wu et al
05-14-2021	Understanding occupants behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables by Nan Gao et al
05-12-2021	CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning by Abhinav Jangda et al
05-12-2021	Early prediction of respiratory failure in the intensive care unit by Matthias Hüser et al
05-13-2021	A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels by Nicolò Felicioni et al
05-14-2021	Facial Age Estimation using Convolutional Neural Networks by Adrian Kjærran et al
05-11-2021	Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding by Jacob Carse et al
05-13-2021	Good and Bad Optimization Models: Insights from Rockafellians by Johannes O. Royset
05-14-2021	Deep learned SVT: Unrolling singular value thresholding to obtain better MSE by Siva Shanmugam et al
05-14-2021	Domestic waste detection and grasping points for robotic picking up by Victor De Gea et al
05-11-2021	Graph Theory for Metro Traffic Modelling by Bruno Scalzo Dees et al
05-13-2021	Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation by Vineet Garg et al
05-13-2021	An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research by Noemi Derzsy et al
05-12-2021	Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID by Von Ralph Dane Marquez Herbuela et al
05-12-2021	Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level by Ruiqi Zhong et al
05-12-2021	Characterizing Uniform Convergence in Offline Policy Evaluation via model-based approach: Offline Learning, Task-Agnostic and Reward-Free by Ming Yin et al
05-11-2021	Towards a Model for LSH by Li Wang
05-12-2021	TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables by Harsh Desai et al
05-12-2021	How Reliable are Model Diagnostics? by Vamsi Aribandi et al
05-11-2021	Counterfactual Explanations for Neural Recommenders by Khanh Hiep Tran et al
05-11-2021	FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis by Baihe Huang et al
05-12-2021	Thematic recommendations on knowledge graphs using multilayer networks by Mariano Beguerisse-Díaz et al
05-12-2021	Encoding Explanatory Knowledge for Zero-shot Science Question Answering by Zili Zhou et al
05-12-2021	Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces by Ankit Singh Rawat et al
05-12-2021	The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond by Julian Matschinske et al
05-11-2021	Including Signed Languages in Natural Language Processing by Kayo Yin et al
05-12-2021	SimNet: Computer Architecture Simulation using Machine Learning by Lingda Li et al
05-11-2021	EL-Attention: Memory Efficient Lossless Attention for Generation by Yu Yan et al
05-12-2021	MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation by Ahmad Rashid et al
05-12-2021	The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs by Christopher Morris et al
05-12-2021	Dynamical Isometry: The Missing Ingredient for Neural Network Pruning by Huan Wang et al
05-12-2021	Better than BERT but Worse than Baseline by Boxiang Liu et al
05-13-2021	Interval Deep Learning for Uncertainty Quantification in Safety Applications by David Betancourt et al
05-13-2021	How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function by Mahdi Abolghasemi et al
05-13-2021	Bias, Fairness, and Accountability with AI and ML Algorithms by Nengfeng Zhou et al
05-14-2021	Hierarchical Architectures in Reservoir Computing Systems by John Moon et al
05-11-2021	Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting by Yao Lei Xu et al
05-13-2021	Empirical Evaluation of Biased Methods for Alpha Divergence Minimization by Tomas Geffner et al
05-14-2021	Sparsity-Probe: Analysis tool for Deep Learning Models by Ido Ben-Shaul et al
05-11-2021	U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels by Quang Tuyen Le et al
05-14-2021	Meta-Inductive Node Classification across Graphs by Zhihao Wen et al
05-11-2021	Gradient flow encoding with distance optimization adaptive step size by Kyriakos Flouris et al
05-11-2021	BikNN: Anomaly Estimation in Bilateral Domains with k-Nearest Neighbors by Zhongping Ji
05-11-2021	Two novel feature selection algorithms based on crowding distance by Abdesslem Layeb
05-12-2021	Discrete representations in neural models of spoken language by Bertrand Higy et al
05-12-2021	Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning by Adrian Remonda et al
05-11-2021	The Summary Loop: Learning to Write Abstractive Summaries Without Examples by Philippe Laban et al
05-12-2021	Automating Data Science: Prospects and Challenges by Tijl De Bie et al
05-12-2021	Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure by Juntao Huang et al
05-11-2021	More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming by Vo Nguyen Le Duy et al
05-14-2021	Information-theoretic Evolution of Model Agnostic Global Explanations by Sukriti Verma et al
05-13-2021	Towards Equity and Algorithmic Fairness in Student Grade Prediction by Weijie Jiang et al
05-11-2021	Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis by Navaneeth N. et al
05-12-2021	Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference by Shumao Zhang et al
05-11-2021	Operation Embeddings for Neural Architecture Search by Michail Chatzianastasis et al
05-11-2021	Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments by Xiaolong Wei et al
05-13-2021	Explainable Machine Learning for Fraud Detection by Ismini Psychoula et al
05-12-2021	Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms by Ryoto Ishizuka et al
05-12-2021	The Greedy and Recursive Search for Morphological Productivity by Caleb Belth et al
05-13-2021	BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening by Wenqi Shao et al
05-12-2021	Exploring the Similarity of Representations in Model-Agnostic Meta-Learning by Thomas Goerttler et al
05-12-2021	StutterNet: Stuttering Detection Using Time Delay Neural Network by Shakeel A. Sheikh et al
05-14-2021	A Hypothesis Testing Approach to Nonstationary Source Separation by Reza Sameni et al
05-11-2021	Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method by Vanessa Piccolo et al
05-12-2021	Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning by Ming Jin et al
05-14-2021	Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning by Fan Zhou et al
05-11-2021	Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity by Ryan Henderson et al
05-12-2021	Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer by Błażej Dolicki et al
05-12-2021	Spelling Correction with Denoising Transformer by Alex Kuznetsov et al
05-11-2021	Joint Text and Label Generation for Spoken Language Understanding by Yang Li et al
05-14-2021	Threshold Martingales and the Evolution of Forecasts by Dean P. Foster et al
05-13-2021	SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization by Aaditya Singh et al
05-13-2021	Value-at-Risk Optimization with Gaussian Processes by Quoc Phong Nguyen et al
05-12-2021	OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack by DongHyun Choi et al
05-12-2021	Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding by Zhiyuan Qi et al
05-11-2021	Exploring a Handwriting Programming Language for Educational Robots by Laila El-Hamamsy et al
05-11-2021	Machine Assistance for Credit Card Approval? Random Wheel can Recommend and Explain by Anupam Khan et al
05-14-2021	Adapting deep generative approaches for getting synthetic data with realistic marginal distributions by Kiana Farhadyar et al
05-12-2021	LipBaB: Computing exact Lipschitz constant of ReLU networks by Aritra Bhowmick et al
05-13-2021	Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes by Hua Zheng et al
05-13-2021	Improved Algorithms for Agnostic Pool-based Active Classification by Julian Katz-Samuels et al
05-11-2021	Neuro-Symbolic Artificial Intelligence: Current Trends by Md Kamruzzaman Sarker et al
05-12-2021	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction by Omer Burak Demirel et al
05-14-2021	Monash Time Series Forecasting Archive by Rakshitha Godahewa et al
05-12-2021	Structural risk minimization for quantum linear classifiers by Casper Gyurik et al
05-12-2021	A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks by Nikolaos Nomikos et al
05-11-2021	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition by Rameswar Panda et al
05-12-2021	A one-armed CNN for exoplanet detection from light curves by Koko Visser et al
05-12-2021	Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay by Hsiang-Yun Sherry Chien et al
05-12-2021	A new perspective on low-rank optimization by Dimitris Bertsimas et al
05-14-2021	A cost-benefit analysis of cross-lingual transfer methods by Guilherme Moraes Rosa et al
05-13-2021	Informed Equation Learning by Matthias Werner et al
05-13-2021	Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech by Vadim Popov et al
05-13-2021	DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks by Yingzhe He et al
05-11-2021	Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies by Susana Nunes et al
05-11-2021	Temporal graph-based approach for behavioural entity classification by Francesco Zola et al
05-13-2021	Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials by Iain Barclay et al
05-13-2021	Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models by Viraj Shah et al
05-11-2021	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning by Julen Urain et al
05-12-2021	Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution by Robert A. Barton et al
05-11-2021	Homogeneous vector bundles and GG-equivariant convolutional neural networks by Jimmy Aronsson
05-12-2021	Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models by Babak Barazandeh et al
05-13-2021	The Dynamics of Gradient Descent for Overparametrized Neural Networks by Siddhartha Satpathi et al
05-14-2021	Quantified Sleep: Machine learning techniques for observational n-of-1 studies by Gianluca Truda
05-13-2021	A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data by Matteo Chieregato et al
05-11-2021	BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? by Asahi Ushio et al
05-14-2021	Partitioned Deep Learning of Fluid-Structure Interaction by Amin Totounferoush et al
05-14-2021	Efficient PAC Reinforcement Learning in Regular Decision Processes by Alessandro Ronca et al
05-14-2021	SAT-Based Rigorous Explanations for Decision Lists by Alexey Ignatiev et al
05-12-2021	Autoencoding Under Normalization Constraints by Sangwoong Yoon et al
05-12-2021	Segmenter: Transformer for Semantic Segmentation by Robin Strudel et al
05-12-2021	Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization by Maysam Behmanesh et al
05-14-2021	BNNpriors: A library for Bayesian neural network inference with different prior distributions by Vincent Fortuin et al
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