2021.11.8 Learning papers

11-05-2021	FedLess: Secure and Scalable Federated Learning Using Serverless Computing by Andreas Grafberger et al
11-04-2021	Community detection in censored hypergraph by Mingao Yuan et al
11-05-2021	AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family by Roy Henha Eyono et al
11-02-2021	Likelihood-Free Inference in State-Space Models with Unknown Dynamics by Alexander Aushev et al
11-02-2021	One Pass ImageNet by Huiyi Hu et al
11-05-2021	Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation by Vsevolod Konyakhin et al
11-03-2021	Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge by Jussi Leinonen
11-03-2021	Weighted Quantum Channel Compiling through Proximal Policy Optimization by Weiyuan Gong et al
11-03-2021	Resampling and super-resolution of hexagonally sampled images using deep learning by Dylan Flaute et al
11-02-2021	Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge by Reda Ouhamma et al
11-02-2021	Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation by Awadelrahman M. A. Ahmed et al
11-02-2021	Spatio-Temporal Variational Gaussian Processes by Oliver Hamelijnck et al
11-04-2021	Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models by Daniel Bogdoll et al
11-02-2021	Automated, real-time hospital ICU emergency signaling: A field-level implementation by Nazifa M Shemonti et al
11-02-2021	UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data by Mateus Espadoto et al
11-04-2021	A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification by Ali Anaissi et al
11-04-2021	Rate of Convergence of Polynomial Networks to Gaussian Processes by Adam Klukowski
11-02-2021	Time Series Comparisons in Deep Space Network by Kyongsik Yun et al
11-02-2021	Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness by Ke Sun et al
11-04-2021	Quasi-Newton Methods for Saddle Point Problems by Chengchang Liu et al
11-02-2021	Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging by Ali Hashemi et al
11-04-2021	Scaffolding Sets by Maya Burhanpurkar et al
11-05-2021	EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence by Shivam Gupta et al
11-03-2021	Certainty Volume Prediction for Unsupervised Domain Adaptation by Tobias Ringwald et al
11-04-2021	GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks by Vineeth S. Bhaskara et al
11-04-2021	Infinite Time Horizon Safety of Bayesian Neural Networks by Mathias Lechner et al
11-04-2021	Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning by Ruijie Jiang et al
11-04-2021	Flood forecasting with machine learning models in an operational framework by Sella Nevo et al
11-04-2021	An overview of event extraction and its applications by Jiangwei Liu et al
11-05-2021	Interpreting Representation Quality of DNNs for 3D Point Cloud Processing by Wen Shen et al
11-03-2021	Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks by Diego Porres
11-03-2021	Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data by Pio Calderon et al
11-05-2021	Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes by Alejandro J. Ordóñez-Conejo et al
11-02-2021	StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN by Min Jin Chong et al
11-02-2021	Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data by Kamil Raczycki
11-02-2021	Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis by Mohammad Farajtabar et al
11-05-2021	Visualizing the Emergence of Intermediate Visual Patterns in DNNs by Mingjie Li et al
11-03-2021	Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points by Boris Galkin et al
11-04-2021	A Personalized Federated Learning Algorithm: an Application in Anomaly Detection by Ali Anaissi et al
11-04-2021	Towards dynamic multi-modal phenotyping using chest radiographs and physiological data by Nasir Hayat et al
11-03-2021	Federated Expectation Maximization with heterogeneity mitigation and variance reduction by Aymeric Dieuleveut et al
11-03-2021	An Explanation of In-context Learning as Implicit Bayesian Inference by Sang Michael Xie et al
11-02-2021	MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks by Nicholas Hoernle et al
11-03-2021	A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs by Ido Nachum et al
11-05-2021	Segmentation of 2D Brain MR Images by Angad Ripudaman Singh Bajwa
11-05-2021	Online Learning in Periodic Zero-Sum Games by Tanner Fiez et al
11-03-2021	Learning suction graspability considering grasp quality and robot reachability for bin-picking by Ping Jiang et al
11-03-2021	Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues by Mehrad Moradshahi et al
11-05-2021	Dynamic Data Augmentation with Gating Networks by Daisuke Oba et al
11-03-2021	Perturb-and-max-product: Sampling and learning in discrete energy-based models by Miguel Lazaro-Gredilla et al
11-04-2021	CoreLM: Coreference-aware Language Model Fine-Tuning by Nikolaos Stylianou et al
11-02-2021	Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks by Kevin M. Silva et al
11-05-2021	Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs by Yeoneung Kim et al
11-05-2021	Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland by Yasuko Okamoto et al
11-05-2021	Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning by Runa Eschenhagen et al
11-04-2021	Efficacy the of Confinement Policies on the COVID-19 Spread Dynamics in the Early Period of the Pandemic by Mehedi Hassan et al
11-04-2021	B-Pref: Benchmarking Preference-Based Reinforcement Learning by Kimin Lee et al
11-05-2021	A Unified Game-Theoretic Interpretation of Adversarial Robustness by Jie Ren et al
11-05-2021	Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study by Anandkumar Balasubramaniam et al
11-03-2021	On the Effectiveness of Interpretable Feedforward Neural Network by Miles Q. Li et al
11-05-2021	A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer by Xingyu Li et al
11-04-2021	Data-Driven Market Segmentation in Hospitality Using Unsupervised Machine Learning by Rik van Leeuwen et al
11-04-2021	Label Ranking through Nonparametric Regression by Dimitris Fotakis et al
11-02-2021	OpenPrompt: An Open-source Framework for Prompt-learning by Ning Ding et al
11-04-2021	Adversarial Attacks on Graph Classification via Bayesian Optimisation by Xingchen Wan et al
11-04-2021	Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models by Boxin Wang et al
11-04-2021	TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation by Joachim Nyborg et al
11-02-2021	Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning by Xun Qian et al
11-02-2021	PatchGame: Learning to Signal Mid-level Patches in Referential Games by Kamal Gupta et al
11-02-2021	OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression by Chen Zhang et al
11-02-2021	PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism by Yingying Wu et al
11-04-2021	Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers by Tommaso d'Orsi et al
11-03-2021	Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs by Guang Lin et al
11-03-2021	Power Flow Balancing with Decentralized Graph Neural Networks by Jonas Berg Hansen et al
11-02-2021	Conformal testing: binary case with Markov alternatives by Vladimir Vovk et al
11-03-2021	CLUES: Few-Shot Learning Evaluation in Natural Language Understanding by Subhabrata Mukherjee et al
11-05-2021	Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation by Mohammed Temraz et al
11-03-2021	Online Learning of Energy Consumption for Navigation of Electric Vehicles by Niklas Åkerblom et al
11-05-2021	FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research by Simen Eide et al
11-03-2021	Data Synthesis for Testing Black-Box Machine Learning Models by Diptikalyan Saha et al
11-03-2021	The Klarna Product Page Dataset: A RealisticBenchmark for Web Representation Learning by Alexandra Hotti et al
11-03-2021	Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features by Ryandhimas E. Zezario et al
11-05-2021	Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN by Moran Baruch et al
11-03-2021	AlphaD3M: Machine Learning Pipeline Synthesis by Iddo Drori et al
11-04-2021	Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning by Sindre Benjamin Remman et al
11-05-2021	S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data by Theodoulos Rodosthenous et al
11-05-2021	Maillard Sampling: Boltzmann Exploration Done Optimally by Jie Bian et al
11-02-2021	Equivariant Deep Dynamical Model for Motion Prediction by Bahar Azari et al
11-05-2021	Dataset of Fake News Detection and Fact Verification: A Survey by Taichi Murayama
11-03-2021	From global to local MDI variable importances for random forests and when they are Shapley values by Antonio Sutera et al
11-04-2021	An Interpretable Graph Generative Model with Heterophily by Sudhanshu Chanpuriya et al
11-02-2021	Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework by Jonas Kohler et al
11-02-2021	WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting by Philipp Weidel et al
11-05-2021	Risk-averse Heteroscedastic Bayesian Optimization by Anastasiia Makarova et al
11-04-2021	A Concentration Bound for LSPE(λλ) by Vivek S. Borkar et al
11-02-2021	Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks by Robert Lieck et al
11-04-2021	Functional connectivity ensemble method to enhance BCI performance (FUCONE) by Marie-Constance Corsi et al
11-05-2021	Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System by Julian Arnold et al
11-04-2021	Introduction to Coresets: Approximated Mean by Alaa Maalouf et al
11-03-2021	Regularization by Misclassification in ReLU Neural Networks by Elisabetta Cornacchia et al
11-04-2021	LILA: Language-Informed Latent Actions by Siddharth Karamcheti et al
11-04-2021	The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties by Pedro Borges et al
11-04-2021	Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples by Kanghyun Choi et al
11-03-2021	What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks by Kevin Sebastian Luck et al
11-03-2021	Virus-MNIST: Machine Learning Baseline Calculations for Image Classification by Erik Larsen et al
11-03-2021	Can I use this publicly available dataset to build commercial AI software? Most likely not by Gopi Krishnan Rajbahadur et al
11-03-2021	Intrusion Detection: Machine Learning Baseline Calculations for Image Classification by Erik Larsen et al
11-04-2021	Towards an Understanding of Default Policies in Multitask Policy Optimization by Ted Moskovitz et al
11-04-2021	Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries by Manuel A. Borroto Santana et al
11-02-2021	Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat\ern Kernels by Noémie Jaquier et al
11-03-2021	Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets by Thommen George Karimpanal et al
11-03-2021	Can We Achieve Fairness Using Semi-Supervised Learning? by Joymallya Chakraborty et al
11-02-2021	Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay by Dogan C. Cicek et al
11-02-2021	3-D PET Image Generation with tumour masks using TGAN by Robert V Bergen et al
11-02-2021	FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning by Saurabh Deshpande et al
11-02-2021	From Strings to Data Science: a Practical Framework for Automated String Handling by John W. van Lith et al
11-03-2021	Leveraging Time Irreversibility with Order-Contrastive Pre-training by Monica Agrawal et al
11-04-2021	Testing using Privileged Information by Adapting Features with Statistical Dependence by Kwang In Kim et al
11-04-2021	WaveFake: A Data Set to Facilitate Audio Deepfake Detection by Joel Frank et al
11-05-2021	Monitoring geometrical properties of word embeddings for detecting the emergence of new topics by Clément Christophe et al
11-04-2021	Parameterized Knowledge Transfer for Personalized Federated Learning by Jie Zhang et al
11-03-2021	Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution by Irving G. B. Petrazzini et al
11-04-2021	Multi-scale 2D Representation Learning for weakly-supervised moment retrieval by Ding Li et al
11-04-2021	Variational Inference with Holder Bounds by Junya Chen et al

11-04-2021	Explainable k-means. Dont be greedy, plant bigger trees! by Konstantin Makarychev et al
11-05-2021	Automated Supervised Feature Selection for Differentiated Patterns of Care by Catherine Wanjiru et al
11-02-2021	Subquadratic Overparameterization for Shallow Neural Networks by Chaehwan Song et al
11-03-2021	Automatic Embedding of Stories Into Collections of Independent Media by Dylan R. Ashley et al
11-05-2021	A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves by Alessandrop Benfenati et al
11-04-2021	Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications by Hussain Sarwar Khan et al
11-05-2021	Data Selection for Efficient Model Update in Federated Learning by Hongrui Shi et al
11-03-2021	Heuristical choice of SVM parameters by Michał Cholewa et al
11-04-2021	MT3: Multi-Task Multitrack Music Transcription by Josh Gardner et al
11-04-2021	Graph neural network initialisation of quantum approximate optimisation by Nishant Jain et al
11-03-2021	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies by Tim Seyde et al
11-04-2021	Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution by Yiftach Savransky et al
11-02-2021	Realistic galaxy image simulation via score-based generative models by Michael J. Smith et al
11-03-2021	Building Damage Mapping with Self-PositiveUnlabeled Learning by Junshi Xia et al
11-02-2021	Discovering Supply Chain Links with Augmented Intelligence by Achintya Gopal et al
11-02-2021	LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision by Thorsten Wittkopp et al
11-02-2021	Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification by Clémence Réda et al
11-02-2021	Zero-Shot Translation using Diffusion Models by Eliya Nachmani et al
11-04-2021	Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales by Jonathan Kelner et al
11-03-2021	Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search by Man Luo et al
11-04-2021	Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification by Muhammad Rifki Kurniawan et al
11-04-2021	FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation by Wei Gan et al
11-03-2021	A Survey of Machine Learning Algorithms for Detecting Malware in IoT Firmware by Erik Larsen et al
11-03-2021	End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis by Gerhard Hagerer et al
11-03-2021	Predictive Auto-scaling with OpenStack Monasca by Giacomo Lanciano et al
11-03-2021	InQSS: a speech intelligibility assessment model using a multi-task learning network by Yu-Wen Chen et al
11-05-2021	Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization by Bhanu Jain et al
11-02-2021	Source-to-Source Automatic Differentiation of OpenMP Parallel Loops by Jan Hückelheim et al
11-04-2021	Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction by Yuxin Meng et al
11-02-2021	Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations by Ehsan Adeli et al
11-04-2021	Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel by Kevin Eloff et al
11-02-2021	Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits by Tan Li et al
11-05-2021	Grounded Graph Decoding Improves Compositional Generalization in Question Answering by Yu Gai et al
11-02-2021	Discovering and Exploiting Sparse Rewards in a Learned Behavior Space by Giuseppe Paolo et al
11-02-2021	Distributed Sparse Feature Selection in Communication-Restricted Networks by Hanie Barghi et al
11-03-2021	Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity by Ran Liu et al
11-02-2021	Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery by Aditya Nandy et al
11-03-2021	RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms by Yongan Zhang et al
11-05-2021	Epidemic inference through generative neural networks by Indaco Biazzo et al
11-02-2021	A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies by Jan Blumenkamp et al
11-03-2021	A Meta-Learned Neuron model for Continual Learning by Rodrigue Siry
11-03-2021	Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter? by Simon Foucart et al
11-04-2021	ExClus: Explainable Clustering on Low-dimensional Data Representations by Xander Vankwikelberge et al
11-03-2021	Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices by Jun-Liang Lin et al
11-04-2021	Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods by Peru Bhardwaj et al
11-03-2021	Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators by Marko Stamenovic et al
11-03-2021	Building Legal Datasets by Jerrold Soh
11-05-2021	Context-Aware Transformer Transducer for Speech Recognition by Feng-Ju Chang et al
11-05-2021	Long Range Probabilistic Forecasting in Time-Series using High Order Statistics by Prathamesh Deshpande et al
11-04-2021	A Riemannian Accelerated Proximal Extragradient Framework and its Implications by Jikai Jin et al
11-04-2021	Benchmarking Multimodal AutoML for Tabular Data with Text Fields by Xingjian Shi et al
11-03-2021	Why Stable Learning Works? A Theory of Covariate Shift Generalization by Renzhe Xu et al
11-05-2021	Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space by Jihao Long et al
11-05-2021	An Empirical Study of Neural Kernel Bandits by Michal Lisicki et al
11-04-2021	Logically Sound Arguments for the Effectiveness of ML Safety Measures by Chih-Hong Cheng et al
11-04-2021	Control of a fly-mimicking flyer in complex flow using deep reinforcement learning by Seungpyo Hong et al
11-03-2021	Multivariate feature ranking of gene expression data by Fernando Jiménez et al
11-05-2021	Transferable Time-Series Forecasting under Causal Conditional Shift by Zijian Li et al
11-03-2021	Smooth Imitation Learning via Smooth Costs and Smooth Policies by Sapana Chaudhary et al
11-05-2021	A Variational U-Net for Weather Forecasting by Pak Hay Kwok et al
11-02-2021	OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning by Qiang Liu et al
11-02-2021	A Recommendation System to Enhance Midwives Capacities in Low-Income Countries by Anna Guitart et al
11-04-2021	Application of Machine Learning to Sleep Stage Classification by Andrew Smith et al
11-02-2021	Procedural Generalization by Planning with Self-Supervised World Models by Ankesh Anand et al
11-03-2021	Evaluation of Tree Based Regression over Multiple Linear Regression for Non-normally Distributed Data in Battery Performance by Shovan Chowdhury et al
11-02-2021	Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach by Jiawei Wang et al
11-05-2021	Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters by Takanori Maehara et al
11-04-2021	Identifying nonlinear dynamical systems from multi-modal time series data by Philine Lou Bommer et al
11-03-2021	Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling by Greg Ver Steeg et al
11-02-2021	Learning Size and Shape of Calabi-Yau Spaces by Magdalena Larfors et al
11-03-2021	Neural network is heterogeneous: Phase matters more by Yuqi Nie et al
11-03-2021	LTD: Low Temperature Distillation for Robust Adversarial Training by Erh-Chung Chen et al
11-04-2021	A deep ensemble approach to X-ray polarimetry by A. L. Peirson et al
11-04-2021	A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection by Mohanad Sarhan et al
11-04-2021	LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso by Kenan Šehić et al
11-03-2021	Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic? by Gautam Chandrasekaran et al
11-05-2021	Graph Denoising with Framelet Regularizer by Bingxin Zhou et al
11-05-2021	Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies by Han Wu et al
11-05-2021	Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art by Yi Wang et al
11-05-2021	Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning by Yuxiang Ren et al
11-05-2021	Neural Network Based Epileptic EEG Detection and Classification by Shivam Gupta et al
11-05-2021	An Analysis of Elephants Movement Data in Sub-Saharan Africa Using Clustering by Gregory Glatzer et al
11-05-2021	Contextual Bayesian optimization with binary outputs by Tristan Fauvel et al
11-04-2021	Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning by Wenlong Huang et al
11-04-2021	A System for General In-Hand Object Re-Orientation by Tao Chen et al
11-04-2021	A Unified Approach to Coreset Learning by Alaa Maalouf et al
11-04-2021	Ex22MCMC: Sampling through Exploration Exploitation by Evgeny Lagutin et al
11-02-2021	HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks by Mojan Javaheripi et al
11-02-2021	Meta-Learning to Improve Pre-Training by Aniruddh Raghu et al
11-02-2021	A MIMO Radar-Based Metric Learning Approach for Activity Recognition by Fady Aziz et al
11-03-2021	Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies by Shatrughan Modi et al
11-04-2021	Predictive Machine Learning of Objective Boundaries for Solving COPs by Helge Spieker et al
11-04-2021	Representation Edit Distance as a Measure of Novelty by Joshua Alspector
11-02-2021	Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning by Bleema Rosenfeld et al
11-04-2021	Sensory attenuation develops as a result of sensorimotor experience by Hayato Idei et al
11-04-2021	A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction by Benedek Rozemberczki et al
11-03-2021	Multi-task Learning of Order-Consistent Causal Graphs by Xinshi Chen et al
11-03-2021	Brain-inspired Cognition in Next Generation Racetrack Memories by Asif Ali Khan et al
11-04-2021	Amortized Variational Inference for Simple Hierarchical Models by Abhinav Agrawal et al
11-03-2021	Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score by Luca Coraggio et al
11-04-2021	My House, My Rules: Learning Tidying Preferences with Graph Neural Networks by Ivan Kapelyukh et al
11-04-2021	Successor Feature Neural Episodic Control by David Emukpere et al
11-03-2021	Ensembles of Double Random Forest by M. A. Ganaie et al
11-03-2021	Convolutional Motif Kernel Networks by Jonas C. Ditz et al
11-03-2021	Manipulation of granular materials by learning particle interactions by Neea Tuomainen et al
11-03-2021	Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data by Andrew Jesson et al
11-04-2021	Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping by Junya Chen et al
11-05-2021	Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective by Kha Dinh Duy et al
11-02-2021	On Similarity by Luciano da F. Costa
11-02-2021	Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees by William J. Wilkinson et al
11-05-2021	Pathological Analysis of Blood Cells Using Deep Learning Techniques by Virender Ranga et al
11-04-2021	Model-Free Risk-Sensitive Reinforcement Learning by Grégoire Delétang et al
11-03-2021	FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance by Javier Hernandez-Ortega et al
11-02-2021	Practical and Light-weight Secure Aggregation for Federated Submodel Learning by Jamie Cui et al
11-02-2021	Designing Inherently Interpretable Machine Learning Models by Agus Sudjianto et al
11-02-2021	LogAvgExp Provides a Principled and Performant Global Pooling Operator by Scott C. Lowe et al
11-04-2021	Modeling Techniques for Machine Learning Fairness: A Survey by Mingyang Wan et al
11-03-2021	The Impact of Batch Learning in Stochastic Bandits by Danil Provodin et al
11-03-2021	Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation by Ke Tu et al
11-02-2021	Low-Rank+Sparse Tensor Compression for Neural Networks by Cole Hawkins et al
11-04-2021	LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator by Zhuofu Tao et al
11-04-2021	Symmetry-Aware Autoencoders: s-PCA and s-nlPCA by Simon Kneer et al
11-03-2021	Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems by Swarnabja Bhaumik et al
11-05-2021	Sexism Identification in Tweets and Gabs using Deep Neural Networks by Amikul Kalra et al
11-04-2021	Causal inference with imperfect instrumental variables by Nikolai Miklin et al
11-03-2021	Photometric Search for Exomoons by using Convolutional Neural Networks by Lukas Weghs
11-03-2021	VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts by Wenhui Wang et al
11-03-2021	Automatic ultrasound vessel segmentation with deep spatiotemporal context learning by Baichuan Jiang et al
11-02-2021	AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements by Carolyn Ashurst et al
11-05-2021	SocialVec: Social Entity Embeddings by Nir Lotan et al
11-04-2021	On the Complexity of Dynamic Submodular Maximization by Xi Chen et al
11-04-2021	An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets by Gias Uddin et al
11-04-2021	Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering by Alberto Bemporad
11-04-2021	Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System by Kyongmin Yeo et al
11-05-2021	Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling by Maksym A. Girnyk
11-04-2021	Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch by Shangtong Zhang et al
11-02-2021	Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data by Marta Guimaraes et al
11-03-2021	Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods by Desi R. Ivanova et al
11-03-2021	An Empirical Study of Training End-to-End Vision-and-Language Transformers by Zi-Yi Dou et al
11-03-2021	Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration by Si-An Chen et al
11-02-2021	Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters by Conor Rosato et al
11-04-2021	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms by Trent Kyono et al
11-02-2021	Binary classification of proteins by a Machine Learning approach by Damiano Perri et al
11-03-2021	Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval by Samurdhi Karunaratne et al

11-03-2021	Curriculum Offline Imitation Learning by Minghuan Liu et al
11-03-2021	A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments by Abhishek K. Umrawal
11-05-2021	Supervised Advantage Actor-Critic for Recommender Systems by Xin Xin et al
11-02-2021	Variational message passing (VMP) applied to LDA by Rebecca M. C. Taylor et al
11-04-2021	Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging by Gusseppe Bravo-Rocca et al
11-02-2021	A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks by Poornima Mahadevappa et al
11-03-2021	STC speaker recognition systems for the NIST SRE 2021 by Anastasia Avdeeva et al
11-02-2021	Understanding Entropic Regularization in GANs by Daria Reshetova et al
11-03-2021	Model-Based Episodic Memory Induces Dynamic Hybrid Controls by Hung Le et al
11-04-2021	Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning by Dhruv Shah et al
11-05-2021	Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning by Rujikorn Charakorn et al
11-04-2021	OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion by Chengyuan Deng et al
11-02-2021	Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group by Zhenbang Wang et al
11-02-2021	Nearly Optimal Algorithms for Level Set Estimation by Blake Mason et al
11-02-2021	A Survey of Fairness-Aware Federated Learning by Yuxin Shi et al
11-03-2021	Partial supervision for the FeTA challenge 2021 by Lucas Fidon et al
11-03-2021	Unsupervised embedding and similarity detection of microregions using public transport schedules by Piotr Gramacki
11-02-2021	Coordinate Linear Variance Reduction for Generalized Linear Programming by Chaobing Song et al
11-02-2021	Skin Cancer Classification using Inception Network and Transfer Learning by Priscilla Benedetti et al
11-02-2021	Nonstochastic Bandits and Experts with Arm-Dependent Delays by Dirk van der Hoeven et al
11-02-2021	Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems by Kalifou René Traoré et al
11-04-2021	RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning by Sabela Ramos et al
11-03-2021	Improving Pose Estimation through Contextual Activity Fusion by David Poulton et al
11-03-2021	Scalable mixed-domain Gaussian processes by Juho Timonen et al
11-05-2021	NAS-Bench-x11 and the Power of Learning Curves by Shen Yan et al
11-03-2021	An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data by Salman Mohamadi et al
11-03-2021	Conformal prediction for text infilling and part-of-speech prediction by Neil Dey et al
11-03-2021	Privately Publishable Per-instance Privacy by Rachel Redberg et al
11-03-2021	Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks by Alexander Shevchenko et al
11-03-2021	LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs by Christoph Schuhmann et al
11-03-2021	Autonomous Attack Mitigation for Industrial Control Systems by John Mern et al
11-03-2021	Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation by Eugene Bagdasaryan et al
11-04-2021	Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles by Ao Qu et al
11-04-2021	Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices by Puja Trivedi et al
11-04-2021	Unsupervised Learning of Compositional Energy Concepts by Yilun Du et al
11-02-2021	DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks by Ansh Kumar Sharma et al
11-02-2021	A new method for binary classification of proteins with Machine Learning by Damiano Perri et al
11-02-2021	Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks by Maksym Yatsura et al
11-02-2021	FedGraph: Federated Graph Learning with Intelligent Sampling by Fahao Chen et al
11-02-2021	Overlapping and nonoverlapping models by Huan Qing
11-02-2021	Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks by Xiang Huang et al
11-02-2021	Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds by Yujia Huang et al
11-02-2021	Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics by Matthias Weissenbacher et al
11-04-2021	Generating Diverse Realistic Laughter for Interactive Art by M. Mehdi Afsar et al
11-03-2021	Shift Happens: Adjusting Classifiers by Theodore James Thibault Heiser et al
11-02-2021	FedFly: Towards Migration in Edge-based Distributed Federated Learning by Rehmat Ullah et al
11-04-2021	Deep Artificial Intelligence for Fantasy Football Language Understanding by Aaron Baughman et al
11-05-2021	Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation by Kentaro Ohno et al
11-04-2021	Unsupervised Change Detection of Extreme Events Using ML On-Board by Vít Růžička et al
11-03-2021	SVD-Embedded Deep Autoencoder for MIMO Communications by Xinliang Zhang et al
11-03-2021	Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation by Mrinal Anand et al
11-05-2021	Automated Human Mind Reading Using EEG Signals for Seizure Detection by Virender Ranga et al
11-04-2021	Analysis of Sensing Spectral for Signal Recovery Under a Generalized Linear Model by Junjie Ma et al
11-05-2021	Meta-Forecasting by combining Global DeepRepresentations with Local Adaptation by Riccardo Grazzi et al
11-04-2021	Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles by Alexander Thebelt et al
11-05-2021	Dual Parameterization of Sparse Variational Gaussian Processes by Vincent Adam et al
11-05-2021	A Data-driven Approach to Neural Architecture Search Initialization by Kalifou René Traoré et al
11-02-2021	A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications by Xinlei Zhou et al
11-04-2021	Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports by Hong-Yu Zhou et al
11-04-2021	Are You Smarter Than a Random Expert? The Robust Aggregation of Substitutable Signals by Eric Neyman et al
11-02-2021	Constructing Neural Network-Based Models for Simulating Dynamical Systems by Christian Møldrup Legaard et al
11-05-2021	DVFL: A Vertical Federated Learning Method for Dynamic Data by Yuzhi Liang et al
11-02-2021	Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs by Truong Son Hy et al
11-02-2021	Knowledge Cross-Distillation for Membership Privacy by Rishav Chourasia et al
11-02-2021	Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Applications by Sloan Nietert et al
11-02-2021	Elucidating Noisy Data via Uncertainty-Aware Robust Learning by Jeongeun Park et al
11-02-2021	Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm by Yuheng Bu et al
11-03-2021	Deep Least Squares Alignment for Unsupervised Domain Adaptation by Youshan Zhang et al
11-04-2021	When Neural Networks Using Different Sensors Create Similar Features by Hugues Moreau et al
11-04-2021	Deep Learning Methods for Daily Wildfire Danger Forecasting by Ioannis Prapas et al
11-03-2021	On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics by Nan Feng et al
11-03-2021	An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning by Yun Li et al