2021.7.26 Learning papers

07-23-2021	Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery by Gyri Reiersen et al
07-21-2021	Black-box Probe for Unsupervised Domain Adaptation without Model Transferring by Kunhong Wu et al
07-20-2021	Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language by Kevin Eloff et al
07-20-2021	LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies by Mohanad Odema et al
07-22-2021	What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis by Thi Ngoc Tho Nguyen et al
07-22-2021	Data Considerations in Graph Representation Learning for Supply Chain Networks by Ajmal Aziz et al
07-20-2021	Follow Your Path: a Progressive Method for Knowledge Distillation by Wenxian Shi et al
07-20-2021	Rethinking the Tradeoff in Integrated Sensing and Communication: Recognition Accuracy versus Communication Rate by Guoliang Li et al
07-20-2021	ECG Heartbeat Classification Using Multimodal Fusion by Zeeshan Ahmad et al
07-22-2021	A reinforcement learning approach to resource allocation in genomic selection by Saba Moeinizade et al
07-20-2021	Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia by Akum S. Kang et al
07-20-2021	What Do You Get When You Cross Beam Search with Nucleus Sampling? by Uri Shaham et al
07-23-2021	Taxonomizing local versus global structure in neural network loss landscapes by Yaoqing Yang et al
07-23-2021	Wavelet Design in a Learning Framework by Dhruv Jawali et al
07-21-2021	Small-text: Active Learning for Text Classification in Python by Christopher Schröder et al
07-20-2021	Edge of chaos as a guiding principle for modern neural network training by Lin Zhang et al
07-21-2021	GLIME: A new graphical methodology for interpretable model-agnostic explanations by Zoumpolia Dikopoulou et al
07-22-2021	External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery by Isaac J. Sledge et al
07-23-2021	Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series by Satya Narayan Shukla et al
07-20-2021	Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs by Liad Erez et al
07-21-2021	Differentiable Feature Selection, a Reparameterization Approach by Jérémie Dona et al
07-20-2021	Mining Topological Dependencies of Recurrent Congestion in Road Networks by Nicolas Tempelmeier et al
07-23-2021	HURRA! Human readable router anomaly detection by Jose M. Navarro et al
07-22-2021	LARGE: Latent-Based Regression through GAN Semantics by Yotam Nitzan et al
07-20-2021	SVSNet: An End-to-end Speaker Voice Similarity Assessment Model by Cheng-Hung Hu et al
07-21-2021	Neural Fixed-Point Acceleration for Convex Optimization by Shobha Venkataraman et al
07-22-2021	Evaluating the Quality of Finite Element Meshes with Machine Learning by Joachim Sprave et al
07-20-2021	kNet: A Deep kNN Network To Handle Label Noise by Itzik Mizrahi et al
07-20-2021	Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions by Eoin Delaney et al
07-21-2021	COfEE: A Comprehensive Ontology for Event Extraction from text, with an online annotation tool by Ali Balali et al
07-20-2021	Filament Plots for Data Visualization by Nate Strawn
07-21-2021	Shedding some light on Light Up with Artificial Intelligence by Libo Sun et al
07-21-2021	The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding by Archiki Prasad et al
07-20-2021	Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models by Tianzi Wang et al
07-20-2021	Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production by Wissam Siblini et al
07-23-2021	Structack: Structure-based Adversarial Attacks on Graph Neural Networks by Hussain Hussain et al
07-20-2021	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning by Denis Yarats et al
07-20-2021	Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information by Jana Mayer et al
07-20-2021	Learn2Hop: Learned Optimization on Rough Landscapes by Amil Merchant et al
07-21-2021	On the Memorization Properties of Contrastive Learning by Ildus Sadrtdinov et al
07-23-2021	Dynamic detection of mobile malware using smartphone data and machine learning by J. S. Panman de Wit et al
07-20-2021	Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer by Mahnoosh Mahdavimoghaddama et al
07-20-2021	Built-in Elastic Transformations for Improved Robustness by Sadaf Gulshad et al
07-20-2021	Active operator inference for learning low-dimensional dynamical-system models from noisy data by Wayne Isaac Tan Uy et al
07-23-2021	An Adaptive State Aggregation Algorithm for Markov Decision Processes by Guanting Chen et al
07-20-2021	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards by Tim Franzmeyer et al
07-22-2021	What are you optimizing for? Aligning Recommender Systems with Human Values by Jonathan Stray et al
07-20-2021	Positively Weighted Kernel Quadrature via Subsampling by Satoshi Hayakawa et al
07-22-2021	Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI by Xiaofeng Liu et al
07-20-2021	Algorithm Selection on a Meta Level by Alexander Tornede et al
07-23-2021	OLR 2021 Challenge: Datasets, Rules and Baselines by Binling Wang et al
07-20-2021	ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE by Qingzhong Ai et al
07-22-2021	Learning Sparse Fixed-Structure Gaussian Bayesian Networks by Arnab Bhattacharyya et al
07-21-2021	Defending against Reconstruction Attack in Vertical Federated Learning by Jiankai Sun et al
07-21-2021	Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data by Viswanath P. Sudarshan et al
07-22-2021	VisMCA: A Visual Analytics System for Misclassification Correction and Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Patterns of Misclassification by Huyen N. Nguyen et al
07-20-2021	[Math Processing Error]β -Annealed Variational Autoencoder for glitches by Sivaramakrishnan Sankarapandian et al
07-20-2021	Offline Preference-Based Apprenticeship Learning by Daniel Shin et al
07-20-2021	Approximation Theory of Convolutional Architectures for Time Series Modelling by Haotian Jiang et al
07-23-2021	Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift by Pinzhuo Tian et al
07-23-2021	Human Pose Regression with Residual Log-likelihood Estimation by Jiefeng Li et al
07-22-2021	Semantic Text-to-Face GAN -ST^2FG by Manan Oza et al
07-21-2021	How to Tell Deep Neural Networks What We Know by Tirtharaj Dash et al
07-21-2021	Rethinking Trajectory Forecasting Evaluation by Boris Ivanovic et al
07-21-2021	Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms by Carlos Olivares et al
07-23-2021	Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution by Patrik Puchert et al
07-21-2021	JEFL: Joint Embedding of Formal Proof Libraries by Qingxiang Wang et al
07-23-2021	Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm by A. Al-Saffar et al
07-22-2021	Learning to Transfer: A Foliated Theory by Janith Petangoda et al
07-22-2021	Implicit Rate-Constrained Optimization of Non-decomposable Objectives by Abhishek Kumar et al
07-21-2021	MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis by Sathyanarayanan N. Aakur et al
07-23-2021	Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market by Jaydip Sen et al
07-21-2021	Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies by Feng Xie et al
07-20-2021	Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity by Shuangli Li et al
07-22-2021	Accelerating Quadratic Optimization with Reinforcement Learning by Jeffrey Ichnowski et al
07-22-2021	Improve Learning from Crowds via Generative Augmentation by Zhendong Chu et al
07-22-2021	Bandit Quickest Changepoint Detection by Aditya Gopalan et al
07-22-2021	3D Shape Generation with Grid-based Implicit Functions by Moritz Ibing et al
07-21-2021	Distribution of Classification Margins: Are All Data Equal? by Andrzej Banburski et al
07-21-2021	Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies by Abicumaran Uthamacumaran et al
07-22-2021	Communication Efficiency in Federated Learning: Achievements and Challenges by Osama Shahid et al
07-21-2021	High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss by Guangyuan Li et al
07-22-2021	Adaptively Weighted Top-N Recommendation for Organ Matching by Parshin Shojaee et al
07-22-2021	Tsformer: Time series Transformer for tourism demand forecasting by Siyuan Yi et al
07-22-2021	Federated Learning Versus Classical Machine Learning: A Convergence Comparison by Muhammad Asad et al
07-20-2021	Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude? by James A. Michaelov et al
07-21-2021	Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients by Huimin Wu et al
07-22-2021	Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks by Ramin Barati et al
07-21-2021	Demonstration-Guided Reinforcement Learning with Learned Skills by Karl Pertsch et al
07-22-2021	An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks by Kyu-Beom Lee et al
07-22-2021	Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression by Bogdan Burlacu et al
07-21-2021	A variational approximate posterior for the deep Wishart process by Sebastian W. Ober et al
07-21-2021	Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control by Nathan Lutes et al
07-21-2021	Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data by Christina Doty et al
07-21-2021	Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference by Mohammad Hossein Shaker et al
07-21-2021	Training Electric Vehicle Charging Controllers with Imitation Learning by Martin Pilát
07-22-2021	Distributed Saddle-Point Problems Under Similarity by Aleksandr Beznosikov et al
07-22-2021	Typing assumptions improve identification in causal discovery by Philippe Brouillard et al
07-22-2021	A Framework for Imbalanced Time-series Forecasting by Luis P. Silvestrin et al
07-21-2021	MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments by Dimitrios I. Koutras et al
07-20-2021	Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection by Frusque Gaetan et al
07-22-2021	VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data by Dina Bashkirova et al
07-21-2021	Relational Graph Convolutional Networks: A Closer Look by Thiviyan Thanapalasingam et al
07-21-2021	Deep Iterative 2D/3D Registration by Srikrishna Jaganathan et al
07-20-2021	FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos by Sanchita Ghose et al
07-23-2021	Joint Shapley values: a measure of joint feature importance by Chris Harris et al
07-23-2021	Rethinking Hard-Parameter Sharing in Multi-Task Learning by Lijun Zhang et al
07-20-2021	Precision-Weighted Federated Learning by Jonatan Reyes et al
07-21-2021	Leave-one-out Unfairness by Emily Black et al

07-21-2021	StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion by Yinghao Aaron Li et al
07-20-2021	ReSSL: Relational Self-Supervised Learning with Weak Augmentation by Mingkai Zheng et al
07-23-2021	Bias Loss for Mobile Neural Networks by Lusine Abrahamyan et al
07-23-2021	Constellation: Learning relational abstractions over objects for compositional imagination by James C. R. Whittington et al
07-23-2021	Teaching a neural network with non-tunable exciton-polariton nodes by Andrzej Opala et al
07-22-2021	Physics-informed neural networks for solving Reynolds-averaged Navier [Math Processing Error]–Stokes equations by Hamidreza Eivazi et al
07-22-2021	The decomposition of the higher-order homology embedding constructed from the [Math Processing Error]k-Laplacian by Yu-Chia Chen et al
07-22-2021	Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation by Xingmei Lou et al
07-23-2021	AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training by Kai Yao et al
07-20-2021	EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models by Akira Furui et al
07-21-2021	Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN by Nils Nordmark et al
07-21-2021	High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm by Lorena Qendro et al
07-21-2021	cGANs with Auxiliary Discriminative Classifier by Liang Hou et al
07-22-2021	Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack by Fan Wu et al
07-22-2021	QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits by Hanrui Wang et al
07-21-2021	Incentivizing Compliance with Algorithmic Instruments by Daniel Ngo et al
07-20-2021	A Real-time Speaker Diarization System Based on Spatial Spectrum by Siqi Zheng et al
07-20-2021	A Factor Graph-based approach to vehicle sideslip angle estimation by Antonio Leanza et al
07-21-2021	A Deep Reinforcement Learning Approach for Fair Traffic Signal Control by Majid Raeis et al
07-21-2021	S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training by Viraj Prabhu et al
07-22-2021	Abstract Reasoning via Logic-guided Generation by Sihyun Yu et al
07-20-2021	Relay-Assisted Cooperative Federated Learning by Zehong Lin et al
07-20-2021	Parametric Scattering Networks by Shanel Gauthier et al
07-21-2021	Learning Theorem Proving Components by Karel Chvalovský et al
07-22-2021	Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks by Andrey Zhmoginov et al
07-21-2021	Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings by Dominik Kloepfer et al
07-22-2021	Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks by Dylan Sandfelder et al
07-21-2021	Digital Einstein Experience: Fast Text-to-Speech for Conversational AI by Joanna Rownicka et al
07-22-2021	Structured second-order methods via natural gradient descent by Wu Lin et al
07-20-2021	An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients by João Carvalho et al
07-23-2021	Machine Learning with a Reject Option: A survey by Kilian Hendrickx et al
07-20-2021	Kernel Selection for Stein Variational Gradient Descent by Qingzhong Ai et al
07-21-2021	Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations by Minghan Zhu et al
07-22-2021	Out of the Shadows: Analyzing Anonymous Twitter Resurgence during the 2020 Black Lives Matter Protests by Keenan Jones et al
07-22-2021	On the Certified Robustness for Ensemble Models and Beyond by Zhuolin Yang et al
07-22-2021	Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims by Roland Albert A. Romero et al
07-22-2021	Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications by Mingyuan Bai et al
07-22-2021	Efficient Neural Causal Discovery without Acyclicity Constraints by Phillip Lippe et al
07-23-2021	Robust Adaptive Submodular Maximization by Shaojie Tang
07-22-2021	FNetAR: Mixing Tokens with Autoregressive Fourier Transforms by Tim Lou et al
07-20-2021	Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions by Eike Petersen et al
07-20-2021	Predicting Driver Takeover Time in Conditionally Automated Driving by Jackie Ayoub et al
07-23-2021	MCDAL: Maximum Classifier Discrepancy for Active Learning by Jae Won Cho et al
07-20-2021	Quantum Measurement Classification with Qudits by Diego H. Useche et al
07-23-2021	Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring by Enrique Fernandez-Blanco et al
07-23-2021	Deep Learning Based Reconstruction of Total Solar Irradiance by Yasser Abduallah et al
07-20-2021	High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series by Hugo Vinicius Bitencourt et al
07-20-2021	Group Contrastive Self-Supervised Learning on Graphs by Xinyi Xu et al
07-23-2021	High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data by Lijie Hu et al
07-21-2021	Predicting Issue Types on GitHub by Rafael Kallis et al
07-21-2021	Preventing dataset shift from breaking machine-learning biomarkers by Jéroôme Dockès et al
07-21-2021	Online structural kernel selection for mobile health by Eura Shin et al
07-20-2021	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning by Timo Milbich et al
07-20-2021	Establishing process-structure linkages using Generative Adversarial Networks by Mohammad Safiuddin et al
07-21-2021	Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification by Leopoldo Bertossi et al
07-20-2021	CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs by Marc Riera et al
07-20-2021	A Bayesian Approach to Invariant Deep Neural Networks by Nikolaos Mourdoukoutas et al
07-22-2021	A Proactive Management Scheme for Data Synopses at the Edge by Kostas Kolomvatsos et al
07-20-2021	An induction proof of the backpropagation algorithm in matrix notation by Dirk Ostwald et al
07-22-2021	Estimating Predictive Uncertainty Under Program Data Distribution Shift by Yufei Li et al
07-22-2021	Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification by Diya Sashidhar et al
07-20-2021	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates by Steve Chien et al
07-22-2021	MobileCharger: an Autonomous Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging by Iaroslav Okunevich et al
07-23-2021	LocalGLMnet: interpretable deep learning for tabular data by Ronald Richman et al
07-22-2021	Regularising Inverse Problems with Generative Machine Learning Models by Margaret Duff et al
07-20-2021	How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups? by Tung T. Vu et al
07-20-2021	Significant Wave Height Prediction based on Wavelet Graph Neural Network by Delong Chen et al
07-21-2021	Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary by Nikolaos Dionelis
07-21-2021	Memorization in Deep Neural Networks: Does the Loss Function matter? by Deep Patel et al
07-21-2021	Predicting trajectory behaviour via machine-learned invariant manifolds by Vladimír Krajňák et al
07-22-2021	Unsupervised Detection of Adversarial Examples with Model Explanations by Gihyuk Ko et al
07-22-2021	Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings by Shengpu Tang et al
07-20-2021	Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models by Katiana Kontolati et al
07-22-2021	A novel meta-learning initialization method for physics-informed neural networks by Xu Liu et al
07-20-2021	Audio Captioning Transformer by Xinhao Mei et al
07-20-2021	Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives by Sajad Dadgar et al
07-21-2021	KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics by Guy Revach et al
07-23-2021	Data-driven deep density estimation by Patrik Puchert et al
07-21-2021	A Sparsity Algorithm with Applications to Corporate Credit Rating by Dan Wang et al
07-20-2021	Positive/Negative Approximate Multipliers for DNN Accelerators by Ourania Spantidi et al
07-20-2021	Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible? by Steve Hanneke
07-20-2021	Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access by Hiroki Ito et al
07-20-2021	Large-scale graph representation learning with very deep GNNs and self-supervision by Ravichandra Addanki et al
07-21-2021	Economic Recession Prediction Using Deep Neural Network by Zihao Wang et al
07-23-2021	Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer by Brendan Keith et al
07-22-2021	Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution by Cezara Benegui et al
07-22-2021	Selective Pseudo-label Clustering by Louis Mahon et al
07-21-2021	Differentiable Annealed Importance Sampling and the Perils of Gradient Noise by Guodong Zhang et al

07-22-2021	Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time by Yuyang Deng et al
07-22-2021	Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis by P. Anjali et al
07-22-2021	DeepTitle -- Leveraging BERT to generate Search Engine Optimized Headlines by Cristian Anastasiu et al
07-20-2021	Faster Matchings via Learned Duals by Michael Dinitz et al
07-20-2021	Statistical Estimation from Dependent Data by Yuval Dagan et al
07-20-2021	Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks by Saikat Majumdar et al
07-21-2021	Interpreting diffusion score matching using normalizing flow by Wenbo Gong et al
07-23-2021	A Differentiable Language Model Adversarial Attack on Text Classifiers by Ivan Fursov et al
07-22-2021	Active Learning in Incomplete Label Multiple Instance Multiple Label Learning by Tam Nguyen et al
07-23-2021	RGB Image Classification with Quantum Convolutional Ansaetze by Yu Jing et al
07-23-2021	Generative adversarial networks in time series: A survey and taxonomy by Eoin Brophy et al
07-23-2021	Finite-Bit Quantization For Distributed Algorithms With Linear Convergence by Chang-Shen Lee et al
07-23-2021	A comparison of combined data assimilation and machine learning methods for offline and online model error correction by Alban Farchi et al
07-20-2021	An Embedding of ReLU Networks and an Analysis of their Identifiability by Pierre Stock et al
07-22-2021	cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope by Gautier Marti et al
07-23-2021	Exploring Deep Registration Latent Spaces by Théo Estienne et al
07-21-2021	Spinning Sequence-to-Sequence Models with Meta-Backdoors by Eugene Bagdasaryan et al
07-21-2021	Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations by Pranjal Awasthi et al
07-21-2021	Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs by Nicolas Sonnerat et al
07-21-2021	Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks by Zhiqian Chen et al
07-21-2021	Adaptive Inducing Points Selection For Gaussian Processes by Théo Galy-Fajou et al
07-20-2021	Accuracy analysis of Educational Data Mining using Feature Selection Algorithm by Ali Almalki et al
07-23-2021	Effective and Interpretable fMRI Analysis via Functional Brain Network Generation by Xuan Kan et al
07-21-2021	Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning by Naichen Shi et al
07-21-2021	Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks by Yossi Arjevani et al
07-21-2021	Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification by Anwesha Law et al
07-22-2021	Neural Variational Gradient Descent by Lauro Langosco di Langosco et al
07-23-2021	State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics by Quentin Malartic et al
07-21-2021	Tri-Branch Convolutional Neural Networks for Top- [Math Processing Error]k Focused Academic Performance Prediction by Chaoran Cui et al
07-21-2021	Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA by Sébastien Lachapelle et al
07-21-2021	On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms by Shuyu Cheng et al
07-22-2021	Multiclass versus Binary Differentially Private PAC Learning by Mark Bun et al
07-20-2021	CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression by Zhize Li et al
07-21-2021	Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification by Xiaohu Zheng et al
07-22-2021	DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning by Iaroslav Okunevich et al
07-22-2021	Discovering Sparse Interpretable Dynamics from Partial Observations by Peter Y. Lu et al
07-22-2021	Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference by Xiaofeng Liu et al
07-22-2021	Size doesnt matter: predicting physico- or biochemical properties based on dozens of molecules by Kirill Karpov et al
07-22-2021	Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification by Junghoon Lee et al
07-22-2021	Improving Polyphonic Sound Event Detection on Multichannel Recordings with the S{\o}rensen-Dice Coefficient Loss and Transfer Learning by Karn N. Watcharasupat et al
07-20-2021	Communication and Computation Reduction for Split Learning using Asynchronous Training by Xing Chen et al
07-20-2021	A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions by Richard Osuala et al
07-20-2021	3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images by Sungmin Hong et al
07-21-2021	Design of Experiments for Stochastic Contextual Linear Bandits by Andrea Zanette et al
07-23-2021	Reservoir Computing Approach for Gray Images Segmentation by Petia Koprinkova-Hristova
07-23-2021	Multi-Channel Automatic Music Transcription Using Tensor Algebra by Marmoret Axel et al
07-22-2021	Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling by Matthew Fahrbach et al