2021.5.31 Learning papers

05-26-2021	CogView: Mastering Text-to-Image Generation via Transformers by Ming Ding et al
05-26-2021	Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge by Heng Chang et al
05-26-2021	Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms by Jacinto Carrasco et al
05-28-2021	Early Exiting with Ensemble Internal Classifiers by Tianxiang Sun et al
05-27-2021	Learning Union of Integer Hypercubes with Queries (Technical Report) by Oliver Markgraf et al
05-27-2021	One Step Preference Elicitation in Multi-Objective Bayesian Optimization by Juan Ungredda et al
05-27-2021	OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression by Nicola Bastianello et al
05-27-2021	MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation by Amir Barda et al
05-26-2021	Robust learning from corrupted EEG with dynamic spatial filtering by Hubert Banville et al
05-26-2021	Search Spaces for Neural Model Training by Darko Stosic et al
05-28-2021	pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules by Kirchhof Michael et al
05-26-2021	A Comprehensive Survey on Community Detection with Deep Learning by Xing Su et al
05-26-2021	MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles by Li Yang et al
05-28-2021	Improving Generalization in Mountain Car Through the Partitioned Parameterized Policy Approach via Quasi-Stochastic Gradient Descent by Caleb M. Bowyer
05-27-2021	Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization by Taisuke Kobayashi
05-25-2021	Principal Component Hierarchy for Sparse Quadratic Programs by Robbie Vreugdenhil et al
05-25-2021	The Nonlinearity Coefficient -- A Practical Guide to Neural Architecture Design by George Philipp
05-27-2021	Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization by Enpeng Yuan et al
05-28-2021	Perturbation Theory for the Information Bottleneck by Vudtiwat Ngampruetikorn et al
05-27-2021	Bayesian Optimisation for Constrained Problems by Juan Ungredda et al
05-27-2021	An error analysis of generative adversarial networks for learning distributions by Jian Huang et al
05-27-2021	Training With Data Dependent Dynamic Learning Rates by Shreyas Saxena et al
05-25-2021	Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications by Lukas Mosser et al
05-25-2021	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums by Kaiwen Zhou et al
05-25-2021	Hyperparameter Selection for Imitation Learning by Leonard Hussenot et al
05-26-2021	Exploring dual information in distance metric learning for clustering by Rodrigo Randel et al
05-25-2021	Context-Sensitive Visualization of Deep Learning Natural Language Processing Models by Andrew Dunn et al
05-25-2021	Taxonomy of academic plagiarism methods by Tedo Vrbanec et al
05-27-2021	Model Selection for Production System via Automated Online Experiments by Zhenwen Dai et al
05-25-2021	Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting by Yunshan Ma et al
05-26-2021	A Hybrid Recommender System for Recommending Smartphones to Prospective Customers by Pratik K. Biswas et al
05-27-2021	Time Varying Particle Data Feature Extraction and Tracking with Neural Networks by Haoyu Li et al
05-27-2021	Towards a Better Understanding of Linear Models for Recommendation by Ruoming Jin et al
05-26-2021	Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks by Khaled Koutini et al
05-26-2021	BioNavi-NP: Biosynthesis Navigator for Natural Products by Shuangjia Zheng et al
05-28-2021	Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation by Siyuan Guo et al
05-26-2021	DNNV: A Framework for Deep Neural Network Verification by David Shriver et al
05-26-2021	A Full-stack Accelerator Search Technique for Vision Applications by Dan Zhang et al
05-26-2021	CARLS: Cross-platform Asynchronous Representation Learning System by Chun-Ta Lu et al
05-28-2021	Pruning and Slicing Neural Networks using Formal Verification by Ori Lahav et al
05-28-2021	Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines by Aurélien Decelle et al
05-25-2021	Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network by Cassandra Burgess et al
05-27-2021	Stochastic Intervention for Causal Inference via Reinforcement Learning by Tri Dung Duong et al
05-25-2021	Model Mismatch Trade-offs in LMMSE Estimation by Martin Hellkvist et al
05-25-2021	Self-Supervised Graph Representation Learning via Topology Transformations by Xiang Gao et al
05-25-2021	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks by Jianhao Ding et al
05-25-2021	Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets by Baris Sumengen et al
05-26-2021	Robust Navigation for Racing Drones based on Imitation Learning and Modularization by Tianqi Wang et al
05-25-2021	Provable Representation Learning for Imitation with Contrastive Fourier Features by Ofir Nachum et al
05-25-2021	SG-PALM: a Fast Physically Interpretable Tensor Graphical Model by Yu Wang et al
05-25-2021	A Modulation Front-End for Music Audio Tagging by Cyrus Vahidi et al
05-25-2021	DiBS: Differentiable Bayesian Structure Learning by Lars Lorch et al
05-27-2021	Towards Understanding Knowledge Distillation by Mary Phuong et al
05-27-2021	An Impossibility Theorem for Node Embedding by T. Mitchell Roddenberry et al
05-27-2021	Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach by Jie Huang et al
05-25-2021	Optimal Transport Based Refinement of Physics-Informed Neural Networks by Vaishnav Tadiparthi et al
05-26-2021	Neural Enhanced Belief Propagation for Cooperative Localization by Mingchao Liang et al
05-25-2021	Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence by Po-Kan Shih
05-25-2021	Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra by Piyush K. Sharma et al
05-26-2021	Pattern Detection in the Activation Space for Identifying Synthesized Content by Celia Cintas et al
05-28-2021	Learning to Schedule by Dabeen Lee et al
05-28-2021	Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH by Jaydip Sen et al
05-27-2021	Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization by Yukuan Yang et al
05-27-2021	Training Classifiers that are Universally Robust to All Label Noise Levels by Jingyi Xu et al
05-25-2021	Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers Outputs by Mohammad Malekzadeh et al
05-25-2021	Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs by Willis Hoke et al
05-26-2021	Sparse recovery based on the generalized error function by Zhiyong Zhou
05-26-2021	Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities by Lizeth Gonzalez-Carabarin et al
05-25-2021	Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing by Carlos Basto
05-25-2021	Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift by Etienne Bennequin et al
05-25-2021	Bias-Robust Bayesian Optimization via Dueling Bandit by Johannes Kirschner et al
05-25-2021	Towards Scalable Verification of RL-Driven Systems by Guy Amir et al
05-27-2021	Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model by Ibnu Daqiqil Id et al
05-25-2021	Training Speech Enhancement Systems with Noisy Speech Datasets by Koichi Saito et al
05-27-2021	Optimization Induced Equilibrium Networks by Xingyu Xie et al
05-26-2021	Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective by Likang Wu et al
05-28-2021	GAN for time series prediction, data assimilation and uncertainty quantification by Vinicius L. S. Silva et al
05-26-2021	SimNet: Learning Reactive Self-driving Simulations from Real-world Observations by Luca Bergamini et al
05-27-2021	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks by Teeratorn Kadeethum et al
05-27-2021	Self-Supervised Multimodal Opinion Summarization by Jinbae Im et al
05-26-2021	Augmented KRnet for density estimation and approximation by Xiaoliang Wan et al
05-28-2021	Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions by Alejandro Carderera et al
05-28-2021	SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily by Mengying Jiang et al
05-26-2021	Intriguing Parameters of Structural Causal Models by Matej Zečević et al
05-25-2021	A unified framework based on graph consensus term for multi-view learning by Xiangzhu Meng et al
05-26-2021	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale by Zhaoxia et al
05-27-2021	On Privacy and Confidentiality of Communications in Organizational Graphs by Masoumeh Shafieinejad et al
05-25-2021	An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network by Tao Luo et al
05-25-2021	Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning by Andrea Baisero et al
05-25-2021	ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents by Weihong Lin et al
05-26-2021	Self-Supervised Bug Detection and Repair by Miltiadis Allamanis et al
05-26-2021	ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing by Supreeth Mysore Shivanandamurthy et al
05-28-2021	A Survey on Anomaly Detection for Technical Systems using LSTM Networks by Benjamin Lindemann et al
05-25-2021	GraphFM: Graph Factorization Machines for Feature Interaction Modeling by Zekun Li et al
05-25-2021	Style Similarity as Feedback for Product Design by Mathew Schwartz et al
05-25-2021	CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning by Manvel Avetisian et al
05-25-2021	Trajectory Modeling via Random Utility Inverse Reinforcement Learning by Anselmo R. Pitombeira-Neto et al
05-25-2021	Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model by Nelly Elsayed et al
05-27-2021	A generalization of the randomized singular value decomposition by Nicolas Boullé et al
05-25-2021	Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images by Pérez-Hernández Francisco et al
05-27-2021	AndroidEnv: A Reinforcement Learning Platform for Android by Daniel Toyama et al
05-28-2021	Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing by Pierce Burke et al
05-25-2021	RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features by Constantine C. Doumanidis et al
05-25-2021	A Generalised Inverse Reinforcement Learning Framework by Firas Jarboui et al
05-25-2021	Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos by Ozioma Paul et al
05-27-2021	Intellige: A User-Facing Model Explainer for Narrative Explanations by Jilei Yang et al
05-27-2021	Encoders and Ensembles for Task-Free Continual Learning by Murray Shanahan et al
05-26-2021	Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set by Yuanlu Bai et al
05-26-2021	MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics by Chaofan Huang et al
05-27-2021	TensorFlow ManOpt: a library for optimization on Riemannian manifolds by Oleg Smirnov
05-26-2021	Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning by Pak-Hei Yeung et al
05-26-2021	Deep Repulsive Prototypes for Adversarial Robustness by Alex Serban et al
05-26-2021	Out-of-Vocabulary Entities in Link Prediction by Caglar Demir et al
05-26-2021	Stochastic Intervention for Causal Effect Estimation by Tri Dung Duong et al
05-28-2021	CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals by Jingyi Liu et al
05-25-2021	Model-Constrained Deep Learning Approaches for Inverse Problems by Hai V. Nguyen et al
05-28-2021	Geometric Deep Learning and Equivariant Neural Networks by Jan E. Gerken et al
05-27-2021	Efficient and Accurate Gradients for Neural SDEs by Patrick Kidger et al
05-27-2021	Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices by Yanqi Zhang et al
05-27-2021	Flow based features and validation metric for machine learning reconstruction of PIV data by Ghasem Akbari et al
05-28-2021	Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications by Nguyen Quang Hieu et al
05-25-2021	Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training by Zhi-Qin John Xu et al
05-26-2021	An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics by Emanuele Guidotti et al
05-26-2021	PyTouch: A Machine Learning Library for Touch Processing by Mike Lambeta et al
05-27-2021	TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system by Kaixin Zhang et al
05-27-2021	Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving by Julien Grand-Clément et al
05-27-2021	Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design by Clara Lucía Galimberti et al
05-26-2021	What data do we need for training an AV motion planner? by Long Chen et al

05-28-2021	Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks by Dong-Young Lim et al
05-27-2021	On the Universality of Graph Neural Networks on Large Random Graphs by Nicolas Keriven et al
05-27-2021	Lattice partition recovery with dyadic CART by Oscar Hernan Madrid Padilla et al
05-27-2021	FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays by Surya Selvam et al
05-27-2021	Exploitation vs Caution: Risk-sensitive Policies for Offline Learning by Giorgio Angelotti et al
05-27-2021	Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data by YuanZheng Hu et al
05-25-2021	A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction by Liyue Shen et al
05-25-2021	FNAS: Uncertainty-Aware Fast Neural Architecture Search by Jihao Liu et al
05-25-2021	LENs: a Python library for Logic Explained Networks by Pietro Barbiero et al
05-25-2021	Neural Network Based Sleep Phases Classification for Resource Constraint Environments by Berkay Köprü et al
05-27-2021	Quantization and Deployment of Deep Neural Networks on Microcontrollers by Pierre-Emmanuel Novac et al
05-27-2021	Neural Options Pricing by Timothy DeLise
05-27-2021	Federated Learning for Short-term Residential Energy Demand Forecasting by Christopher Briggs et al
05-28-2021	Efficient Online-Bandit Strategies for Minimax Learning Problems by Christophe Roux et al
05-27-2021	Pattern Transfer Learning for Reinforcement Learning in Order Dispatching by Runzhe Wan et al
05-26-2021	A data-driven approach to beating SAA out-of-sample by Jun-ya Gotoh et al
05-27-2021	The Sobolev Regularization Effect of Stochastic Gradient Descent by Chao Ma et al
05-27-2021	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future by David Ahmedt-Aristizabal et al
05-27-2021	Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State by Danny D'Agostino et al
05-25-2021	TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search by Yawen Duan et al
05-25-2021	There is no data like more data -- current status of machine learning datasets in remote sensing by Michael Schmitt et al
05-28-2021	Discretization Drift in Two-Player Games by Mihaela Rosca et al
05-28-2021	Quantifying Information Leakage from Gradients by Fan Mo et al
05-27-2021	DMInet: An Accurate and Highly Flexible Deep Learning Framework for Drug Discovery with Membrane Selectivity by Guang Chen
05-26-2021	Towards an IMU-based Pen Online Handwriting Recognizer by Mohamad Wehbi et al
05-26-2021	Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios by Chi Zhang et al
05-26-2021	Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks by Khadija Shaheen et al
05-25-2021	Deep Neural Networks and End-to-End Learning for Audio Compression by Daniela N. Rim et al
05-28-2021	Learning to Select Cuts for Efficient Mixed-Integer Programming by Zeren Huang et al
05-28-2021	Robust Regularization with Adversarial Labelling of Perturbed Samples by Xiaohui Guo et al
05-28-2021	SafeAMC: Adversarial training for robust modulation recognition models by Javier Maroto et al
05-27-2021	A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem by Erotokritos Skordilis et al
05-27-2021	Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit by Zhiqi Bu et al
05-26-2021	Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments by Nawshad Farruque et al
05-28-2021	Short-Term Stock Price-Trend Prediction Using Meta-Learning by Shin-Hung Chang et al
05-28-2021	Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation by Guangyin Jin et al
05-25-2021	Affine Transport for Sim-to-Real Domain Adaptation by Anton Mallasto et al
05-25-2021	The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning by Gersende Fort et al
05-25-2021	Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data by Jinyang Liu et al
05-28-2021	Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model by Bingyan Wang et al
05-28-2021	DeepTag: A General Framework for Fiducial Marker Design and Detection by Zhuming Zhang et al
05-25-2021	Safe Value Functions by Pierre-François Massiani et al
05-26-2021	Submodular Kernels for Efficient Rankings by Michelangelo Conserva et al
05-26-2021	Certainty Equivalent Quadratic Control for Markov Jump Systems by Zhe Du et al
05-25-2021	Optimal Sampling Density for Nonparametric Regression by Danny Panknin et al
05-25-2021	Graph Self Supervised Learning: the BT, the HSIC, and the VICReg by Sayan Nag
05-27-2021	Rethinking InfoNCE: How Many Negative Samples Do You Need? by Chuhan Wu et al
05-27-2021	Estimating Instance-dependent Label-noise Transition Matrix using DNNs by Shuo Yang et al
05-26-2021	The given data paradigm undermines both cultures by Tyler McCormick
05-25-2021	Quantifying Uncertainty in Deep Spatiotemporal Forecasting by Dongxia Wu et al
05-25-2021	Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices by Michał Kośmider
05-26-2021	Towards Transparent Application of Machine Learning in Video Processing by Luka Murn et al
05-25-2021	Quantum Embedding Search for Quantum Machine Learning by Nam Nguyen et al
05-26-2021	Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations by Gihan Panapitiya et al
05-26-2021	Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness by Namuk Park et al
05-25-2021	Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets by Parisa Abdolrahim Poorheravi et al
05-27-2021	Why Would I Trust Your Numbers? On the Explainability of Expected Values in Soccer by Jan Van Haaren
05-25-2021	Scaling Properties of Deep Residual Networks by Alain-Sam Cohen et al
05-26-2021	Predicting invasive ductal carcinoma using a Reinforcement Sample Learning Strategy using Deep Learning by Rushabh Patel
05-27-2021	Optimization in Open Networks via Dual Averaging by Yu-Guan Hsieh et al
05-27-2021	Adversarial Intrinsic Motivation for Reinforcement Learning by Ishan Durugkar et al
05-27-2021	Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error by Stanislav Fort et al
05-25-2021	Block Dense Weighted Networks with Augmented Degree Correction by Benjamin Leinwand et al
05-25-2021	Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework by Nirmalya Sen et al
05-25-2021	SHAFF: Fast and consistent SHApley eFfect estimates via random Forests by Clément Bénard et al
05-28-2021	Online Hate: Behavioural Dynamics and Relationship with Misinformation by Matteo Cinelli et al
05-25-2021	Occlusion Aware Kernel Correlation Filter Tracker using RGB-D by Srishti Yadav
05-25-2021	Graph Based Link Prediction between Human Phenotypes and Genes by Rushabh Patel et al
05-25-2021	GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph by Cheikh Brahim El Vaigh et al
05-27-2021	Neural Network Training Using -Regularization and Bi-fidelity Data by Subhayan De et al
05-27-2021	Towards Minimax Optimal Best Arm Identification in Linear Bandits by Junwen Yang et al
05-27-2021	Causally Constrained Data Synthesis for Private Data Release by Varun Chandrasekaran et al
05-28-2021	Video-rate multispectral imaging in laparoscopic surgery: First-in-human application by Leonardo Ayala et al
05-27-2021	Learning Structures for Deep Neural Networks by Jinhui Yuan et al
05-26-2021	Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers by Yujia Bao et al
05-25-2021	Bias in Machine Learning Software: Why? How? What to do? by Joymallya Chakraborty et al
05-27-2021	Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation by El Moatez Billah Nagoudi et al
05-27-2021	Detecting the hosts of bacteriophages using GCN-based semi-supervised learning by Jiayu Shang et al
05-26-2021	Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective by Alina L. Machidon et al
05-26-2021	Using the Overlapping Score to Improve Corruption Benchmarks by Alfred Laugros et al
05-26-2021	Quotient Space-Based Keyword Retrieval in Sponsored Search by Yijiang Lian et al
05-28-2021	Measuring global properties of neural generative model outputs via generating mathematical objects by Bernt Ivar Utstøl Nødland
05-26-2021	Local, global and scale-dependent node roles by Michael Scholkemper et al
05-26-2021	HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing by Rahul Thapa et al
05-27-2021	Open-world Machine Learning: Applications, Challenges, and Opportunities by Jitendra Parmar et al
05-28-2021	Curse of Dimensionality in Unconstrained Private Convex ERM by Daogao Liu et al
05-27-2021	ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning by Thomas Dopierre et al
05-28-2021	Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction by Arthur Feeney et al
05-28-2021	DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding by Neil Zeghidour et al
05-27-2021	Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition by Jingyun Jia et al
05-25-2021	Transfer Learning and Curriculum Learning in Sokoban by Zhao Yang et al
05-25-2021	Mixture of ELM based experts with trainable gating network by Laleh Armi et al
05-26-2021	Learning to Detect Fortified Areas by Allan Grønlund et al
05-27-2021	Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention by Byung-Hoon Kim et al
05-27-2021	An Online Learning Approach to Optimizing Time-Varying Costs of AoI by Vishrant Tripathi et al
05-27-2021	Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage by P. Gloor et al
05-28-2021	Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval by Zhengchun Liu et al
05-26-2021	Networked Federated Multi-Task Learning by Yasmin SarcheshmehPour et al
05-26-2021	Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation by Zaiwei Chen et al
05-26-2021	ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans by Hasib Zunair et al
05-26-2021	Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning by Chang Tian et al
05-27-2021	Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model by Sheng Zhang et al
05-25-2021	Learning Bipedal Robot Locomotion from Human Movement by Michael Taylor et al
05-27-2021	Concept drift detection and adaptation for federated and continual learning by Fernando E. Casado et al
05-25-2021	Interpretable UAV Collision Avoidance using Deep Reinforcement Learning by Deepak-George Thomas et al

05-25-2021	Rank-one matrix estimation: analytic time evolution of gradient descent dynamics by Antoine Bodin et al
05-26-2021	GeomCA: Geometric Evaluation of Data Representations by Petra Poklukar et al
05-28-2021	Inferring community characteristics in labelled networks by Ioannis Kontoyiannis et al
05-27-2021	Geodesy of irregular small bodies via neural density fields: geodesyNets by Dario Izzo et al
05-25-2021	Graph Neural Network Based VC Investment Success Prediction by Shiwei Lyu et al
05-26-2021	DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder by Prashant Kumar et al
05-28-2021	The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization by Akinori F. Ebihara et al
05-28-2021	Knowledge Inheritance for Pre-trained Language Models by Yujia Qin et al
05-25-2021	Learning Generative Prior with Latent Space Sparsity Constraints by Vinayak Killedar et al
05-27-2021	Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach by Carlos Carrion et al
05-27-2021	Autonomous Optimization of Fluid Systems at Varying Length Scales by Alexander E. Siemenn et al
05-27-2021	One-shot Learning with Absolute Generalization by Hao Su
05-25-2021	Density estimation: an inflation-deflation approach by Christian Horvat et al
05-25-2021	Emotion Recognition in Horses with Convolutional Neural Networks by Luis A. Corujo et al
05-27-2021	Unsupervised Domain Adaption of Object Detectors: A Survey by Poojan Oza et al
05-28-2021	A General Taylor Framework for Unifying and Revisiting Attribution Methods by Huiqi Deng et al
05-28-2021	Towards Deterministic Diverse Subset Sampling by Joachim Schreurs et al
05-26-2021	Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity by Michael Morris et al
05-28-2021	Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax by Ehsan Kamalloo et al
05-28-2021	A nearly Blackwell-optimal policy gradient method by Vektor Dewanto et al
05-26-2021	Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling by Akis Linardos et al
05-25-2021	Towards a method to anticipate dark matter signals with deep learning at the LHC by Ernesto Arganda et al
05-25-2021	On learning parametric distributions from quantized samples by Septimia Sarbu et al
05-25-2021	Deep learning-based bias transfer for overcoming laboratory differences of microscopic images by Ann-Katrin Thebille et al
05-26-2021	Fooling Partial Dependence via Data Poisoning by Hubert Baniecki et al
05-25-2021	SGD with Coordinate Sampling: Theory and Practice by Rémi Leluc et al
05-26-2021	Deconditional Downscaling with Gaussian Processes by Siu Lun Chau et al
05-28-2021	AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption by Mingfu Xue et al
05-26-2021	Sequence Parallelism: Making 4D Parallelism Possible by Shenggui Li et al
05-25-2021	SB-GCN: Structured BREP Graph Convolutional Network for Automatic Mating of CAD Assemblies by Benjamin Jones et al
05-25-2021	Practical Convex Formulation of Robust One-hidden-layer Neural Network Training by Yatong Bai et al
05-25-2021	A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces by Yu Qin et al
05-26-2021	Adversarial robustness against multiple -threat models at the price of one and how to quickly fine-tune robust models to another threat model by Francesco Croce et al
05-28-2021	Quantum Optimisation of Complex Systems with a Quantum Annealer by Steve Abel et al
05-26-2021	Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI by Ali Raza et al
05-28-2021	Latent Space Exploration Using Generative Kernel PCA by David Winant et al
05-28-2021	PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer by Xuzhe Zhang et al
05-28-2021	Implicit Regularization in Matrix Sensing via Mirror Descent by Fan Wu et al
05-28-2021	A Gradient Method for Multilevel Optimization by Ryo Sato et al
05-28-2021	Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection by Kieran Wood et al
05-28-2021	Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference by Jia Yan et al
05-27-2021	ECG Heart-beat Classification Using Multimodal Image Fusion by Zeeshan Ahmad et al
05-27-2021	Inertial Sensor Data To Image Encoding For Human Action Recognition by Zeeshan Ahmad et al
05-27-2021	A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers by Xi Li et al
05-25-2021	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization by Chen Liang et al
05-27-2021	Avancee-1 Mission and SaDoD Method: LiDAR-based stimulated atomic disintegration of space debris (SaDoD) using Optical Neural Networks by Manuel Ntumba et al
05-27-2021	GoSafe: Globally Optimal Safe Robot Learning by Dominik Baumann et al
05-27-2021	Deep Ensembles from a Bayesian Perspective by Lara Hoffmann et al
05-27-2021	Non-negative matrix factorization algorithms greatly improve topic model fits by Peter Carbonetto et al
05-25-2021	Towards Teachable Autonomous Agents by Olivier Sigaud et al
05-25-2021	Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances by Berfin Şimşek et al
05-26-2021	XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data by Eloise Withnell et al
05-27-2021	A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks by Harideep Nair et al
05-25-2021	Robust Value Iteration for Continuous Control Tasks by Michael Lutter et al
05-28-2021	Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture by Alison O'Shea et al
05-26-2021	TreeBERT: A Tree-Based Pre-Trained Model for Programming Language by Xue Jiang et al
05-27-2021	Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture by Suyoung Lee et al
05-28-2021	Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery by Maxwell Hogan et al
05-27-2021	Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network by Yuqing Hu et al
05-28-2021	Do not explain without context: addressing the blind spot of model explanations by Katarzyna Woźnica et al
05-27-2021	Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures by Sangwook Park et al
05-27-2021	Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems by Carlos Mougan et al
05-27-2021	Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders by Philipp Joppich et al
05-27-2021	NAAS: Neural Accelerator Architecture Search by Yujun Lin et al
05-25-2021	Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients by Weiyi Xie et al
05-26-2021	Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models by Boyuan Chen et al
05-26-2021	A Universal Law of Robustness via Isoperimetry by Sébastien Bubeck et al