2020.11.23 Learning papers

11-18-2020	FROST: Faster and more Robust One-shot Semi-supervised Training by Helena E. Liu et al
11-17-2020	Design Space for Graph Neural Networks by Jiaxuan You et al
11-19-2020	Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry by Yizhou Qian et al
11-19-2020	Parrot: Data-Driven Behavioral Priors for Reinforcement Learning by Avi Singh et al
11-17-2020	Avoiding Tampering Incentives in Deep RL via Decoupled Approval by Jonathan Uesato et al
11-17-2020	REALab: An Embedded Perspective on Tampering by Ramana Kumar et al
11-18-2020	FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance by Xiao-Yang Liu et al
11-17-2020	C-Learning: Learning to Achieve Goals via Recursive Classification by Benjamin Eysenbach et al
11-17-2020	An analytical diabolo model for robotic learning and control by Felix von Drigalski et al
11-17-2020	Deep Active Surface Models by Udaranga Wickramasinghe et al
11-18-2020	Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains by Won Jang et al
11-18-2020	Randomized Self Organizing Map by Nicolas P. Rougier et al
11-18-2020	NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks by Dario Guidotti et al
11-19-2020	Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video by Ben Saunders et al
11-19-2020	Multi-Plane Program Induction with 3D Box Priors by Yikai Li et al
11-18-2020	Inspecting state of the art performance and NLP metrics in image-based medical report generation by Pablo Pino et al
11-18-2020	Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning by Ali Atghaei et al
11-18-2020	Using Unity to Help Solve Intelligence by Tom Ward et al
11-19-2020	An Experimental Study of Semantic Continuity for Deep Learning Models by Shangxi Wu et al
11-18-2020	Self-Gradient Networks by Hossein Aboutalebi et al
11-17-2020	Optimizing parametrized quantum circuits via noise-induced breaking of symmetries by Enrico Fontana et al
11-17-2020	Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data by Aastha Acharya et al
11-18-2020	Learning Recurrent Neural Net Models of Nonlinear Systems by Joshua Hanson et al
11-19-2020	Using Text to Teach Image Retrieval by Haoyu Dong et al
11-17-2020	Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks by Yueyue Dai et al
11-18-2020	A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data by Zina M Ibrahim et al
11-18-2020	FLaaS: Federated Learning as a Service by Nicolas Kourtellis et al
11-19-2020	Relation Extraction with Contextualized Relation Embedding (CRE) by Xiaoyu Chen et al
11-18-2020	Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data by Christoph B. Rist et al
11-18-2020	Inverse Reinforcement Learning via Matching of Optimality Profiles by Luis Haug et al
11-17-2020	Quantum algorithms for learning graphs and beyond by Ashley Montanaro et al
11-17-2020	Impact of Accuracy on Model Interpretations by Brian Liu et al
11-18-2020	Introduction to Core-sets: an Updated Survey by Dan Feldman
11-17-2020	Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks by Yueyue Dai et al
11-18-2020	Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband by Enrico Sutera et al
11-17-2020	Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization by Sreejith Balakrishnan et al
11-19-2020	Persuasive Dialogue Understanding: the Baselines and Negative Results by Hui Chen et al
11-17-2020	Multigrid-in-Channels Neural Network Architectures by Moshe Eliasof et al
11-18-2020	A Cognitive Approach based on the Actionable Knowledge Graph for supporting Maintenance Operations by Giuseppe Fenza et al
11-19-2020	GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers by Reza Namazi et al
11-17-2020	Analyzing and Mitigating Compression Defects in Deep Learning by Max Ehrlich et al
11-19-2020	Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations by Xinyue Huo et al
11-18-2020	Machine Learning for Phase Behavior in Active Matter Systems by Austin R. Dulaney et al
11-19-2020	DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment by Bing Yu et al
11-17-2020	Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem by Eric Chung et al
11-17-2020	Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier by Bimal Bhattarai et al
11-19-2020	Lifelong Knowledge Learning in Rule-based Dialogue Systems by Bing Liu et al
11-18-2020	On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix by Ingvar Ziemann et al
11-17-2020	AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries by Qianjiang Hu et al
11-18-2020	Adversarial Turing Patterns from Cellular Automata by Nurislam Tursynbek et al
11-18-2020	Node Similarity Preserving Graph Convolutional Networks by Wei Jin et al
11-19-2020	Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization by Yuhang Li et al
11-19-2020	Adversarial Examples for kk-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams by Chawin Sitawarin et al
11-20-2020	Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach by Hang Liu et al
11-19-2020	Inverse Constrained Reinforcement Learning by Usman Anwar et al
11-17-2020	DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition by Marvin Chancán et al
11-17-2020	Structural and Functional Decomposition for Personality Image Captioning in a Communication Game by Thu Nguyen et al
11-19-2020	Data-Driven Robust Optimization using Unsupervised Deep Learning by Marc Goerigk et al
11-19-2020	Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning by Zhenda Xie et al
11-17-2020	A Users Guide to Calibrating Robotics Simulators by Bhairav Mehta et al
11-17-2020	Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks by Nikhil Churamani et al
11-18-2020	Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation by Gaurav Kumar Nayak et al
11-18-2020	Positive-Congruent Training: Towards Regression-Free Model Updates by Sijie Yan et al
11-18-2020	A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning by Preeti Jagdish Sajjan et al
11-17-2020	Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things by Jing Zhang et al
11-17-2020	A Deep Neural Network for SSVEP-based Brain Computer Interfaces by Osman Berke Guney et al
11-17-2020	Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz by Corneel Casert et al
11-17-2020	ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks by Varun Ranganathan et al
11-17-2020	Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets by Hamza Osman Ilhan et al
11-17-2020	Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging by Joseph Lubars et al
11-17-2020	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling by Dilin Wang et al
11-19-2020	Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery by Zhuo Zheng et al
11-17-2020	Leveraging the Variance of Return Sequences for Exploration Policy by Zerong Xi et al
11-18-2020	Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors by Anthony Bisulco et al
11-17-2020	Modality-Buffet for Real-Time Object Detection by Nicolai Dorka et al
11-18-2020	Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks by Thomas Teixeira et al
11-19-2020	Online Model Selection for Reinforcement Learning with Function Approximation by Jonathan N. Lee et al
11-17-2020	TreeGen -- a Monte Carlo generator for data frames by Agnieszka Niemczynowicz et al
11-20-2020	Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder by Sam Davis et al
11-20-2020	On barren plateaus and cost function locality in variational quantum algorithms by Alexey Uvarov et al
11-17-2020	SIENA: Stochastic Multi-Expert Neural Patcher by Thai Le et al
11-18-2020	Experimental Study on Reinforcement Learning-based Control of an Acrobot by Leo Dostal et al
11-17-2020	Visual Forecasting of Time Series with Image-to-Image Regression by Naftali Cohen et al
11-17-2020	Exploring Intermediate Representation for Monocular Vehicle Pose Estimation by Shichao Li et al
11-18-2020	Detecting Hierarchical Changes in Latent Variable Models by Shintaro Fukushima et al
11-18-2020	Counterfactual Credit Assignment in Model-Free Reinforcement Learning by Thomas Mesnard et al
11-19-2020	SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid by Rodrigo de Medrano et al
11-18-2020	CGAP2: Context and gap aware predictive pose framework for early detection of gestures by Nishant Bhattacharya et al
11-20-2020	Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation by Leonid Mill et al
11-18-2020	MOFA: Modular Factorial Design for Hyperparameter Optimization by Bo Xiong et al
11-18-2020	High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records by Alex Taylor et al
11-17-2020	Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches by Xinyu Dou et al
11-17-2020	Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results by Jayant Gupta et al
11-17-2020	Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers by Nina Varney et al
11-18-2020	Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges by Shrijita Bhattacharya et al
11-17-2020	Uncertainty Modelling in Deep Neural Networks for Image Data by Aria Khoshsirat
11-18-2020	FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning by Di Chai et al
11-17-2020	Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes by Quang Minh Hoang et al
11-17-2020	Weighted Entropy Modification for Soft Actor-Critic by Yizhou Zhao et al
11-17-2020	Learning outside the Black-Box: The pursuit of interpretable models by Jonathan Crabbé et al
11-17-2020	Multimodal Prototypical Networks for Few-shot Learning by Frederik Pahde et al
11-17-2020	Towards Meta-Algorithm Selection by Alexander Tornede et al
11-18-2020	Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR by Burhaneddin Yaman et al
11-18-2020	Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS by Bohdan Kivva et al
11-17-2020	Mutual Information Based Method for Unsupervised Disentanglement of Video Representation by P Aditya Sreekar et al
11-18-2020	Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification by Daniel Palomino et al
11-20-2020	Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet by Dong-Kyum Kim et al
11-17-2020	Exploring Self-Attention for Visual Odometry by Hamed Damirchi et al
11-19-2020	End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study by Matteo Lionello et al
11-17-2020	Noise-Resilient Automatic Interpretation of Holter ECG Recordings by Konstantin Egorov et al
11-17-2020	A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering by Utku Görkem Ketenci et al
11-18-2020	RSINet: Rotation-Scale Invariant Network for Online Visual Tracking by Yang Fang et al
11-20-2020	StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials by Yinan Wang et al

11-20-2020	Complexity Controlled Generative Adversarial Networks by Himanshu Pant et al
11-19-2020	List-Decodable Mean Estimation in Nearly-PCA Time by Ilias Diakonikolas et al
11-17-2020	Fault-Aware Robust Control via Adversarial Reinforcement Learning by Fan Yang et al
11-20-2020	Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon by Ben Hambly et al
11-19-2020	On tuning deep learning models: a data mining perspective by M. M. Ozturk
11-17-2020	Sequence-Level Mixed Sample Data Augmentation by Demi Guo et al
11-17-2020	HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images by Rachel Lea Draelos et al
11-18-2020	Plug-And-Play Learned Gaussian-mixture Approximate Message Passing by Osman Musa et al
11-20-2020	Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat by Xiang Fang et al
11-18-2020	Understanding Variational Inference in Function-Space by David R. Burt et al
11-18-2020	A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions by Javier Fernandez et al
11-18-2020	GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection by Yixin Guo et al
11-18-2020	Online Paging with a Vanishing Regret by Yuval Emek et al
11-18-2020	Vector Embeddings with Subvector Permutation Invariance using a Triplet Enhanced Autoencoder by Mark Alan Matties
11-20-2020	Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifiers Decision by Kwanseok Oh et al
11-18-2020	Distributed Scheduling using Graph Neural Networks by Zhongyuan Zhao et al
11-19-2020	Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space by Jernej Hribar et al
11-17-2020	Data-driven Accelerogram Synthesis using Deep Generative Models by Manuel A. Florez et al
11-18-2020	Benign Overfitting in Binary Classification of Gaussian Mixtures by Ke Wang et al
11-19-2020	FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation by Yair Kittenplon et al
11-19-2020	Explainable Incipient Fault Detection Systems for Photovoltaic Panels by S. Sairam et al
11-19-2020	Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops by Florian Stelzer et al
11-17-2020	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning by Bin Li et al
11-19-2020	Provable Multi-Objective Reinforcement Learning with Generative Models by Dongruo Zhou et al
11-20-2020	Cost-effective Variational Active Entity Resolution by Alex Bogatu et al
11-18-2020	SAFARI: Safe and Active Robot Imitation Learning with Imagination by Norman Di Palo et al
11-19-2020	Sentiment Classification in Bangla Textual Content: A Comparative Study by Md. Arid Hasan et al
11-19-2020	Collaborative Storytelling with Large-scale Neural Language Models by Eric Nichols et al
11-18-2020	On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective by Nontawat Charoenphakdee et al
11-18-2020	Bias-Variance Trade-off and Overlearning in Dynamic Decision Problems by A. Max Reppen et al
11-20-2020	DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval by Eunju Cha et al
11-17-2020	DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference by Jiyang Xie et al
11-19-2020	Classification by Attention: Scene Graph Classification with Prior Knowledge by Sahand Sharifzadeh et al
11-20-2020	Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing by Fangrui Liu et al
11-18-2020	Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning by Nick Angelou et al
11-19-2020	Sequential Targeting: an incremental learning approach for data imbalance in text classification by Joel Jang et al
11-20-2020	RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty by Benjamin Graham et al
11-20-2020	Cascade Attentive Dropout for Weakly Supervised Object Detection by Wenlong Gao et al
11-18-2020	Adaptive Contention Window Design using Deep Q-learning by Abhishek Kumar et al
11-19-2020	MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices by Yekai Wang
11-19-2020	Estimation of Shortest Path Covariance Matrices by Raj Kumar Maity et al
11-20-2020	Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach by Dominik Sisejkovic et al
11-18-2020	Gradient Starvation: A Learning Proclivity in Neural Networks by Mohammad Pezeshki et al
11-17-2020	Distributed Online Learning with Multiple Kernels by Jeongmin Chae et al
11-20-2020	Double Self-weighted Multi-view Clustering via Adaptive View Fusion by Xiang Fang et al
11-20-2020	Towards Abstract Relational Learning in Human Robot Interaction by Mohamadreza Faridghasemnia et al
11-19-2020	Quantum Multiple Kernel Learning by Seyed Shakib Vedaie et al
11-20-2020	Detecting Universal Triggers Adversarial Attack with Honeypot by Thai Le et al
11-17-2020	Generating universal language adversarial examples by understanding and enhancing the transferability across neural models by Liping Yuan et al
11-18-2020	Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals by Meng Ge et al
11-19-2020	Error-Bounded Correction of Noisy Labels by Songzhu Zheng et al
11-18-2020	Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff by Eitan Borgnia et al
11-19-2020	Multi-Task Adversarial Attack by Pengxin Guo et al
11-17-2020	Confounding Feature Acquisition for Causal Effect Estimation by Shirly Wang et al
11-20-2020	Finding Prerequisite Relations between Concepts using Textbook by Shivam Pal et al
11-20-2020	Exploring Simple Siamese Representation Learning by Xinlei Chen et al
11-20-2020	Assessing out-of-domain generalization for robust building damage detection by Vitus Benson et al
11-19-2020	Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality by Johanna Einsiedler et al
11-17-2020	Tracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing by Sana Talmoudi et al
11-17-2020	Improving Calibration in Deep Metric Learning With Cross-Example Softmax by Andreas Veit et al
11-17-2020	Linear Separation via Optimism by Rafael Hanashiro et al
11-17-2020	Learning functional programs with function invention and reuse by Andrei Diaconu
11-17-2020	VIB is Half Bayes by Alexander A Alemi et al
11-20-2020	Learning Informative Representations of Biomedical Relations with Latent Variable Models by Harshil Shah et al
11-18-2020	Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks by Tom Bannink et al
11-19-2020	Preparing Weather Data for Real-Time Building Energy Simulation by Maryam MeshkinKiya et al
11-17-2020	Deep Networks for Direction-of-Arrival Estimation in Low SNR by Georgios K. Papageorgiou et al
11-19-2020	Certified Monotonic Neural Networks by Xingchao Liu et al
11-18-2020	Learning control for transmission and navigation with a mobile robot under unknown communication rates by L. Busoniu et al
11-20-2020	User and Item-aware Estimation of Review Helpfulness by Noemi Mauro et al
11-18-2020	Finding the Homology of Decision Boundaries with Active Learning by Weizhi Li et al
11-17-2020	Federated Composite Optimization by Honglin Yuan et al
11-20-2020	Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks by Arnaud Fanthomme et al
11-20-2020	Convergence Analysis of Homotopy-SGD for non-convex optimization by Matilde Gargiani et al
11-19-2020	Wasserstein Learning of Determinantal Point Processes by Lucas Anquetil et al
11-17-2020	Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling by Nanzhe Wang et al
11-19-2020	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications by Chaochao Chen et al
11-20-2020	ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering by Xiang Fang et al
11-17-2020	FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances by Ali Shahin Shamsabadi et al
11-20-2020	Meta-Learning for Time Series Forecasting Ensemble by Evaldas Vaiciukynas et al
11-20-2020	Improvement of Classification in One-Stage Detector by Wu Kehe et al
11-20-2020	Towards Building a Robust and Fair Federated Learning System by Xinyi Xu et al
11-18-2020	A Discussion on Practical Considerations with Sparse Regression Methodologies by Owais Sarwar et al
11-17-2020	Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond by Yueyue Dai et al
11-20-2020	Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews by Quoc Thai Nguyen et al
11-20-2020	Learning Object-Centric Video Models by Contrasting Sets by Sindy Löwe et al
11-17-2020	Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders by Mizu Nishikawa-Toomey et al
11-20-2020	PSD2 Explainable AI Model for Credit Scoring by Neus Llop Torrent et al
11-18-2020	Challenges in Deploying Machine Learning: a Survey of Case Studies by Andrei Paleyes et al
11-19-2020	Categorical exploratory data analysis on goodness-of-fit issues by Sabrina Enriquez et al
11-18-2020	Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification by Youngseog Chung et al
11-17-2020	Close Category Generalization by Yao-Yuan Yang et al
11-19-2020	Improved rates for identification of partially observed linear dynamical systems by Holden Lee
11-19-2020	On the Dynamics of Training Attention Models by Haoye Lu et al
11-19-2020	A Stable High-order Tuner for General Convex Functions by José M. Moreu et al
11-20-2020	GAN based ball screw drive picture database enlargement for failure classification by Tobias Schlagenhauf et al
11-18-2020	Learning Interpretable Flights 4D Landing Parameters Using Tunnel Gaussian Process by Sim Kuan Goh et al
11-20-2020	Graph Signal Recovery Using Restricted Boltzmann Machines by Ankith Mohan et al
11-17-2020	Recursive Inference for Variational Autoencoders by Minyoung Kim et al
11-17-2020	Statistical model-based evaluation of neural networks by Sandipan Das et al
11-19-2020	Effective, Efficient and Robust Neural Architecture Search by Zhixiong Yue et al
11-19-2020	Scalable Graph Neural Networks for Heterogeneous Graphs by Lingfan Yu et al
11-19-2020	DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning by Mahmoud Asem
11-17-2020	Private Wireless Federated Learning with Anonymous Over-the-Air Computation by Burak Hasircioglu et al
11-20-2020	Normalization effects on shallow neural networks and related asymptotic expansions by Jiahui Yu et al
11-20-2020	On the coercivity condition in the learning of interacting particle systems by Zhongyang Li et al
11-17-2020	Contrastive Weight Regularization for Large Minibatch SGD by Qiwei Yuan et al
11-19-2020	A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries by Aniruddh Herle et al
11-19-2020	Novel Classification of Ischemic Heart Disease Using Artificial Neural Network by Giulia Silveri et al
11-20-2020	Seismic Facies Analysis: A Deep Domain Adaptation Approach by M Quamer Nasim et al
11-17-2020	Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure by Charles Colley et al
11-19-2020	KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation by Hao-Zhe Feng et al
11-17-2020	Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention by Johannes Pöppelbaum et al
11-17-2020	Deep Learning Framework From Scratch Using Numpy by Andrei Nicolae
11-17-2020	A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity by Naresh Nandakumar et al
11-20-2020	Efficient Data-Dependent Learnability by Yaniv Fogel et al
11-18-2020	The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems by Santiago Balseiro et al
11-18-2020	Data Representing Ground-Truth Explanations to Evaluate XAI Methods by Shideh Shams Amiri et al
11-17-2020	Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery by Shohin Mukherjee et al
11-17-2020	Data-Driven Reachability Analysis Using Matrix Zonotopes by Amr Alanwar et al
11-17-2020	The Case for Retraining of ML Models for IoT Device Identification at the Edge by Roman Kolcun et al
11-18-2020	Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks by Rishab Khincha et al
11-17-2020	Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing by Ignat Georgiev et al
11-17-2020	A Quantitative Perspective on Values of Domain Knowledge for Machine Learning by Jianyi Yang et al
11-17-2020	Stochastic Client Selection for Federated Learning with Volatile Clients by Tiansheng Huang et al
11-19-2020	Fully Gap-Dependent Bounds for Multinomial Logit Bandit by Jiaqi Yang
11-18-2020	The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques by Asadullah Hill Galib et al
11-19-2020	Similarity-based Distance for Categorical Clustering using Space Structure by Utkarsh Nath et al
11-20-2020	ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning by Marie-Lena Eckert et al
11-19-2020	Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems by Gustavo Silva et al
11-17-2020	Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels by Yinghui Li et al
11-17-2020	Audience Creation for Consumables -- Simple and Scalable Precision Merchandising for a Growing Marketplace by Shreyas S et al
11-19-2020	Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization by Yongqiang Huang et al
11-17-2020	Automatic Microprocessor Performance Bug Detection by Erick Carvajal Barboza et al
11-17-2020	Dynamic Hard Pruning of Neural Networks at the Edge of the Internet by Lorenzo Valerio et al
11-20-2020	A global universality of two-layer neural networks with ReLU activations by Naoya Hatano et al
11-20-2020	Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility by Konstantinos Kousias et al
11-20-2020	COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study by Amanuel Alambo et al
11-20-2020	Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy by Grigorios G. Anagnostopoulos et al
11-19-2020	Anderson acceleration of coordinate descent by Quentin Bertrand et al
11-17-2020	Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critics Hypothesis Space to RKHS by P Aditya Sreekar et al
11-20-2020	Gradient Regularisation as Approximate Variational Inference by Ali Unlu et al
11-17-2020	MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks by Tao Huang et al
11-18-2020	Temporal Surrogate Back-propagation for Spiking Neural Networks by Yukun Yang
11-19-2020	Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters by Ryan Burn
11-20-2020	MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty by Anubhav Guha et al
11-17-2020	Identification of state functions by physically-guided neural networks with physically-meaningful internal layers by Jacobo Ayensa-Jiménez et al
11-17-2020	Exploring Energy-Accuracy Tradeoffs in AI Hardware by Cory Merkel
11-19-2020	The Fundamental Principles of Reproducibility by Odd Erik Gundersen
11-19-2020	A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations by Md. Ashraful Islam et al