2020.10.19 Learning papers

10-13-2020	Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision by Hao Tan et al
10-14-2020	Neural Databases by James Thorne et al
10-13-2020	With Little Power Comes Great Responsibility by Dallas Card et al
10-13-2020	Are all negatives created equal in contrastive instance discrimination? by Tiffany et al
10-14-2020	AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients by Juntang Zhuang et al
10-14-2020	Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines by Andrei V. Konstantinov et al
10-14-2020	Learning Deep Features in Instrumental Variable Regression by Liyuan Xu et al
10-14-2020	Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback by Makesh Narsimhan Sreedhar et al
10-15-2020	The Deep Bootstrap: Good Online Learners are Good Offline Generalizers by Preetum Nakkiran et al
10-14-2020	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout by Zhao Chen et al
10-14-2020	Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity by Vincent Le Guen et al
10-16-2020	For self-supervised learning, Rationality implies generalization, provably by Yamini Bansal et al
10-14-2020	Re-evaluating Evaluation in Text Summarization by Manik Bhandari et al
10-15-2020	Towards Reflectivity profile inversion through Artificial Neural Networks by Juan Manuel Carmona-Loaiza
10-15-2020	An Alternative to Backpropagation in Deep Reinforcement Learning by Stephen Chung
10-14-2020	Differentiable Causal Discovery Under Unmeasured Confounding by Rohit Bhattacharya et al
10-14-2020	Hybrid Modelling Approaches for Forecasting Energy Spot Prices in EPEC market by Tahir Miriyev et al
10-14-2020	Viewmaker Networks: Learning Views for Unsupervised Representation Learning by Alex Tamkin et al
10-14-2020	InstantEmbedding: Efficient Local Node Representations by Ştefan Postăvaru et al
10-15-2020	Neograd: gradient descent with an adaptive learning rate by Michael F. Zimmer
10-13-2020	Video Action Understanding: A Tutorial by Matthew Hutchinson et al
10-13-2020	Cross-Domain Few-Shot Learning by Representation Fusion by Thomas Adler et al
10-14-2020	Spherical Knowledge Distillation by Jia Guo et al
10-14-2020	Explainability for fair machine learning by Tom Begley et al
10-15-2020	Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach by Yue Yu et al
10-15-2020	Representation Learning via Invariant Causal Mechanisms by Jovana Mitrovic et al
10-13-2020	Flexible mean field variational inference using mixtures of non-overlapping exponential families by Jeffrey P. Spence
10-13-2020	Choosing News Topics to Explain Stock Market Returns by Paul Glasserman et al
10-15-2020	Does Data Augmentation Benefit from Split BatchNorms by Amil Merchant et al
10-14-2020	Deep Ensembles for Low-Data Transfer Learning by Basil Mustafa et al
10-15-2020	Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network by Martin Gauch et al
10-14-2020	RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure by Shounak Datta et al
10-15-2020	Respecting Domain Relations: Hypothesis Invariance for Domain Generalization by Ziqi Wang et al
10-15-2020	Generalizing Universal Adversarial Attacks Beyond Additive Perturbations by Yanghao Zhang et al
10-14-2020	Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data by Fantine Huot et al
10-14-2020	Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control by Zhiyuan Xu et al
10-14-2020	Human-interpretable model explainability on high-dimensional data by Damien de Mijolla et al
10-14-2020	Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer by Chen Zhu et al
10-13-2020	Deep Reinforcement Learning and Transportation Research: A Comprehensive Review by Nahid Parvez Farazi et al
10-14-2020	From Language to Language-ish: How Brain-Like is an LSTMs Representation of Nonsensical Language Stimuli? by Maryam Hashemzadeh et al
10-14-2020	Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation by Eleni Chiou et al
10-14-2020	Identifying Wrongly Predicted Samples: A Method for Active Learning by Rahaf Aljundi et al
10-13-2020	Measuring Visual Generalization in Continuous Control from Pixels by Jake Grigsby et al
10-15-2020	Self-training for Few-shot Transfer Across Extreme Task Differences by Cheng Perng Phoo et al
10-14-2020	Semantic Label Smoothing for Sequence to Sequence Problems by Michal Lukasik et al
10-14-2020	Collective defense of honeybee colonies: experimental results and theoretical modeling by Andrea López-Incera et al
10-14-2020	Training Neural Networks with Property-Preserving Parameter Perturbations by Andreas Krämer et al
10-16-2020	Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning by Xing Yan et al
10-14-2020	PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training by An Tran et al
10-13-2020	On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation by Raul de Queiroz Mendes et al
10-13-2020	Random Network Distillation as a Diversity Metric for Both Image and Text Generation by Liam Fowl et al
10-14-2020	Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting by Jun Fu et al
10-15-2020	Wheres the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data by George Michalopoulos et al
10-13-2020	Experimental Quantum Generative Adversarial Networks for Image Generation by He-Liang Huang et al
10-13-2020	Linking average- and worst-case perturbation robustness via class selectivity and dimensionality by Matthew L. Leavitt et al
10-14-2020	Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search by Gyuwan Kim et al
10-15-2020	Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification by W. H. Huang
10-13-2020	COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework by Anwaar Ulhaq et al
10-14-2020	3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies by Eva Schnider et al
10-14-2020	Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality by Alisha Sharma et al
10-14-2020	A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics Gramian Matrix by Kelum Gajamannage et al
10-15-2020	Avoiding Side Effects By Considering Future Tasks by Victoria Krakovna et al
10-14-2020	Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach by Huixin Zhan et al
10-15-2020	Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings by Phillip Keung et al
10-14-2020	GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks by Hui Liu et al
10-16-2020	Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation by Yanghoon Kim et al
10-15-2020	NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet by Shubhanker Banerjee et al
10-13-2020	Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows by Peter Benner et al
10-13-2020	Training independent subnetworks for robust prediction by Marton Havasi et al
10-13-2020	Which Model to Transfer? Finding the Needle in the Growing Haystack by Cedric Renggli et al
10-16-2020	A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery by Esther Rolf et al
10-15-2020	Continual Learning for Neural Semantic Parsing by Vladislav Lialin et al
10-13-2020	Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting by Adam D. Cobb et al
10-13-2020	ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning by Kevin Kuo et al
10-15-2020	Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention by Ekta Sood et al
10-14-2020	Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results by Chunnan Wang et al
10-13-2020	Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast---Choose Three by Steven Reich et al
10-16-2020	Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? by Zhiyuan Li et al
10-15-2020	Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning by Zijie Wang et al
10-16-2020	Auxiliary Task Reweighting for Minimum-data Learning by Baifeng Shi et al
10-15-2020	A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning by Arnu Pretorius et al
10-15-2020	Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM by Sanjay Kumar Sonbhadra et al
10-14-2020	Statistical Inference for Online Decision Making via Stochastic Gradient Descent by Haoyu Chen et al
10-14-2020	Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models by Nalinda Kulathunga et al
10-15-2020	A Theory of Hyperbolic Prototype Learning by Martin Keller-Ressel
10-16-2020	Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks by Muhammad Abbas et al
10-14-2020	MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings by Kai Wang et al
10-14-2020	Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations by Axel Wismüller et al
10-16-2020	Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning by Xiaoying Pang et al
10-14-2020	Masked Contrastive Representation Learning for Reinforcement Learning by Jinhua Zhu et al
10-14-2020	Online Learning with Vector Costs and Bandits with Knapsacks by Thomas Kesselheim et al
10-14-2020	Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture by David Bouget et al
10-16-2020	How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring by Saleh Shahinfar et al
10-16-2020	ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimers Disease by Yuang Shi et al
10-15-2020	Bi-GCN: Binary Graph Convolutional Network by Junfu Wang et al
10-13-2020	Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems by Gergely Hajgató et al
10-15-2020	Asynchronous \epsilon-Greedy Bayesian Optimisation by George De Ath et al
10-14-2020	Fairness in Streaming Submodular Maximization: Algorithms and Hardness by Marwa El Halabi et al
10-16-2020	Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity by Bernd Illing et al
10-14-2020	Data Augmentation for Meta-Learning by Renkun Ni et al
10-13-2020	Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach by Bowen Tan et al
10-13-2020	Multilingual Argument Mining: Datasets and Analysis by Orith Toledo-Ronen et al
10-14-2020	No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection by Debanjana Kar et al
10-15-2020	Altruist: Argumentative Explanations through Local Interpretations of Predictive Models by Ioannis Mollas et al
10-15-2020	Local Differentially Private Regret Minimization in Reinforcement Learning by Evrard Garcelon et al
10-15-2020	MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention by Aman Khullar et al
10-13-2020	General lower bounds for interactive high-dimensional estimation under information constraints by Jayadev Acharya et al
10-15-2020	On Convergence of Nearest Neighbor Classifiers over Feature Transformations by Luka Rimanic et al
10-15-2020	Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset by Siyi Tang et al
10-13-2020	Analogical and Relational Reasoning with Spiking Neural Networks by Rollin Omari et al
10-13-2020	Scenic: A Language for Scenario Specification and Data Generation by Daniel J. Fremont et al
10-14-2020	Temperature check: theory and practice for training models with softmax-cross-entropy losses by Atish Agarwala et al
10-15-2020	Physics-informed GANs for Coastal Flood Visualization by Björn Lütjens et al
10-15-2020	Non-saturating GAN training as divergence minimization by Matt Shannon et al
10-14-2020	Self-Imitation Learning in Sparse Reward Settings by Zhixin Chen et al
10-15-2020	Optimal Dispatch in Emergency Service System via Reinforcement Learning by Cheng Hua et al
10-16-2020	On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy by Cedric Renggli et al
10-15-2020	Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research by Vincent Dumont et al
10-13-2020	Applying Graph-based Deep Learning To Realistic Network Scenarios by Miquel Ferriol-Galmés et al
10-14-2020	Learning Propagation Rules for Attribution Map Generation by Yiding Yang et al
10-13-2020	Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation by Teruo M. Maruyama et al
10-13-2020	Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings by Vinith M. Suriyakumar et al
10-15-2020	Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness by Long Zhao et al
10-16-2020	Emergent and Unspecified Behaviors in Streaming Decision Trees by Chaitanya Manapragada et al
10-15-2020	A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements by Y. Yang et al
10-13-2020	Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge by Clemens-Alexander Brust et al
10-14-2020	UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning by Mirco Theile et al
10-16-2020	Real-Time Face & Eye Tracking and Blink Detection using Event Cameras by Cian Ryan et al
10-13-2020	Land Cover Semantic Segmentation Using ResUNet by Vasilis Pollatos et al
10-16-2020	A Strong Baseline for Weekly Time Series Forecasting by Rakshitha Godahewa et al
10-14-2020	Weight Squeezing: Reparameterization for Compression and Fast Inference by Artem Chumachenko et al
10-16-2020	Learnable Graph-regularization for Matrix Decomposition by Penglong Zhai et al
10-13-2020	Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding by Jiaxin Huang et al
10-15-2020	Sequential Likelihood-Free Inference with Implicit Surrogate Proposal by Dongjun Kim et al
10-14-2020	Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability by Yuxian Meng et al
10-14-2020	Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles by Fernando E. Rosas et al
10-15-2020	Decentralized Knowledge Graph Representation Learning by Lingbing Guo et al
10-14-2020	Causal Multi-Level Fairness by Vishwali Mhasawade et al
10-13-2020	Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants by Luyang Wang et al
10-15-2020	Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training by Zichao Li et al
10-16-2020	How Does Supernet Help in Neural Architecture Search? by Yuge Zhang et al
10-16-2020	G-DARTS-A: Groups of Channel Parallel Sampling with Attention by Zhaowen Wang et al
10-13-2020	Modeling the Music Genre Perception across Language-Bound Cultures by Elena V. Epure et al
10-14-2020	Text Classification Using Label Names Only: A Language Model Self-Training Approach by Yu Meng et al

10-14-2020	Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing by Zhen Xiang et al
10-16-2020	PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation by Guangneng Hu et al
10-13-2020	How important are faces for person re-identification? by Julia Dietlmeier et al
10-16-2020	Detecting ESG topics using domain-specific language models and data augmentation approaches by Tim Nugent et al
10-13-2020	On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection by Sheng Wang et al
10-14-2020	Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning by Stefan Zwaard et al
10-15-2020	Maximum Moment Restriction for Instrumental Variable Regression by Rui Zhang et al
10-13-2020	On Front-end Gain Invariant Modeling for Wake Word Spotting by Yixin Gao et al
10-14-2020	Adaptive Deep Forest for Online Learning from Drifting Data Streams by Łukasz Korycki et al
10-15-2020	Adaptive and Universal Single-gradient Algorithms for Variational Inequalities by Alina Ene et al
10-14-2020	Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation by HanQin Cai et al
10-13-2020	Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets by Robin Fuchs et al
10-13-2020	Satellite Image Classification with Deep Learning by Mark Pritt et al
10-15-2020	A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation by Mingshuo Ding et al
10-15-2020	Deep Conditional Transformation Models by Philipp F. M. Baumann et al
10-13-2020	What Are You Trying to Do? Semantic Typing of Event Processes by Muhao Chen et al
10-13-2020	Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control by Taku Yamagata et al
10-15-2020	Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach by Xinyu Huang et al
10-14-2020	BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture by Harsh Bimal Desai et al
10-15-2020	R-GAP: Recursive Gradient Attack on Privacy by Junyi Zhu et al
10-15-2020	Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection by Shibo Zhou et al
10-16-2020	An Approximation Algorithm for Optimal Subarchitecture Extraction by Adrian de Wynter
10-14-2020	Extended Koopman Models by Span Spanbauer et al
10-14-2020	Graph Deep Factors for Forecasting by Hongjie Chen et al
10-16-2020	Learning Monocular Dense Depth from Events by Javier Hidalgo-Carrió et al
10-14-2020	Exploring the Uncertainty Properties of Neural Networks Implicit Priors in the Infinite-Width Limit by Ben Adlam et al
10-15-2020	QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics by L. Parisi et al
10-16-2020	On the surprising similarities between supervised and self-supervised models by Robert Geirhos et al
10-16-2020	Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes by Lucas Kook et al
10-13-2020	AI-assisted super-resolution cosmological simulations by Yin Li et al
10-13-2020	Average Cost Optimal Control of Stochastic Systems Using Reinforcement Learning by Jing Lai et al
10-16-2020	Adaptive Feature Selection for End-to-End Speech Translation by Biao Zhang et al
10-13-2020	Higher-Order Certification for Randomized Smoothing by Jeet Mohapatra et al
10-16-2020	Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN by Xiao Liu et al
10-13-2020	A first look into the carbon footprint of federated learning by Xinchi Qiu et al
10-15-2020	Consistent Feature Selection for Analytic Deep Neural Networks by Vu Dinh et al
10-15-2020	Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method by Zuxin Liu et al
10-16-2020	Uncertainty-aware Contact-safe Model-based Reinforcement Learning by Cheng-Yu Kuo et al
10-15-2020	Bi-level Score Matching for Learning Energy-based Latent Variable Models by Fan Bao et al
10-13-2020	Motif Learning in Knowledge Graphsusing Trajectories Of Differential Equations by Mojtaba Nayyeri et al
10-13-2020	LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching by Qun Liu et al
10-15-2020	An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints by Farzin Ahmadi et al
10-14-2020	Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs by Jueqing Lu et al
10-14-2020	Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes by Ali Devran Kara et al
10-16-2020	Multi-Agent Collaboration via Reward Attribution Decomposition by Tianjun Zhang et al
10-16-2020	Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement by Xingjian Li et al
10-13-2020	Lightweight IoT Malware Detection Solution Using CNN Classification by Ahmad M. N. Zaza et al
10-16-2020	Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models by Jayaraman J. Thiagarajan et al
10-15-2020	Stochastic Bandits with Vector Losses: Minimizing ℓ∞ℓ∞-Norm of Relative Losses by Xuedong Shang et al
10-13-2020	CrypTFlow2: Practical 2-Party Secure Inference by Deevashwer Rathee et al
10-16-2020	Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes by Santiago Paternain et al
10-16-2020	Effective Distributed Representations for Academic Expert Search by Mark Berger et al
10-16-2020	Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation by Qiang Wang et al
10-15-2020	Federated Learning in Adversarial Settings by Raouf Kerkouche et al
10-14-2020	Function Contrastive Learning of Transferable Representations by Muhammad Waleed Gondal et al
10-15-2020	Deep Learning of Koopman Representation for Control by Yiqiang Han et al
10-13-2020	Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach by Benjamin Eyre et al
10-15-2020	Selective Classification via One-Sided Prediction by Aditya Gangrade et al
10-15-2020	TextMage: The Automated Bangla Caption Generator Based On Deep Learning by Abrar Hasin Kamal et al
10-16-2020	Few-shot model-based adaptation in noisy conditions by Karol Arndt et al
10-15-2020	Interpreting Deep Learning Model Using Rule-based Method by Xiaojian Wang et al
10-13-2020	Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks by Xin Xing et al
10-14-2020	Exchanging Lessons Between Algorithmic Fairness and Domain Generalization by Elliot Creager et al
10-14-2020	Neural Mixture Distributional Regression by David Rügamer et al
10-13-2020	Towards Data-efficient Modeling for Wake Word Spotting by Yixin Gao et al
10-15-2020	A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning by Jaeho Lee et al
10-15-2020	Depth-Width Trade-offs for Neural Networks via Topological Entropy by Kaifeng Bu et al
10-13-2020	Revisiting BFloat16 Training by Pedram Zamirai et al
10-14-2020	FAR: A General Framework for Attributional Robustness by Adam Ivankay et al
10-15-2020	Multi-Agent Motion Planning using Deep Learning for Space Applications by Kyongsik Yun et al
10-14-2020	Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection by Chunkai Zhang et al
10-15-2020	Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case by Amnon Catav et al
10-13-2020	Balancing Constraints and Rewards with Meta-Gradient D4PG by Dan A. Calian et al
10-16-2020	Differentiable Divergences Between Time Series by Mathieu Blondel et al
10-15-2020	Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion by Shengkui Zhao et al
10-16-2020	Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs by Zhoujian Sun et al
10-14-2020	Decision trees as partitioning machines to characterize their generalization properties by Jean-Samuel Leboeuf et al
10-14-2020	Online Decision Trees with Fairness by Wenbin Zhang et al
10-15-2020	EnCoD: Distinguishing Compressed and Encrypted File Fragments by Fabio De Gaspari et al
10-15-2020	Deep Generative Modeling in Network Science with Applications to Public Policy Research by Gavin Hartnett et al
10-15-2020	Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions by Navod Neranjan Thilakarathne et al
10-16-2020	Mischief: A Simple Black-Box Attack Against Transformer Architectures by Adrian de Wynter
10-14-2020	Learning Robust Models Using The Principle of Independent Causal Mechanisms by Jens Müller et al
10-14-2020	Equitable Allocation of Healthcare Resources with Fair Cox Models by Kamrun Naher Keya et al
10-14-2020	Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond by Rajaei Khatib et al
10-14-2020	Towards Resistant Audio Adversarial Examples by Tom Dörr et al
10-13-2020	High-Order Oracle Complexity of Smooth and Strongly Convex Optimization by Guy Kornowski et al
10-14-2020	Transfer2Attack: Text Adversarial Attack with Cross-Domain Interpretability by Mahmoud Hossam et al
10-15-2020	What you need to know to train recurrent neural networks to make Flip Flops memories and more by Cecilia Jarne
10-16-2020	Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training by Goran Zuzic et al
10-15-2020	Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification by Maximilian P Oppelt et al
10-15-2020	An Algorithm for Learning Smaller Representations of Models With Scarce Data by Adrian de Wynter
10-14-2020	Theoretical Foundations of Hyperdimensional Computing by Anthony Thomas et al
10-15-2020	Magnetic Manifold Hamiltonian Monte Carlo by James A. Brofos et al
10-15-2020	Double Robust Representation Learning for Counterfactual Prediction by Shuxi Zeng et al
10-16-2020	Fast Graph Kernel with Optical Random Features by Hashem Ghanem et al
10-15-2020	Certifying Neural Network Robustness to Random Input Noise from Samples by Brendon G. Anderson et al
10-15-2020	An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards by Siyu Dai et al
10-13-2020	Stochastic embeddings of dynamical phenomena through variational autoencoders by Constantino A. Garcia et al
10-16-2020	Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers by Wei Huang et al
10-13-2020	Local Differential Privacy for Bayesian Optimization by Xingyu Zhou et al
10-15-2020	Semi-supervised NMF Models for Topic Modeling in Learning Tasks by Jamie Haddock et al
10-16-2020	Online non-convex optimization with imperfect feedback by Amélie Héliou et al
10-16-2020	Filtered Batch Normalization by Andras Horvath et al
10-15-2020	Cascade of Phase Transitions for Multi-Scale Clustering by T. Bonnaire et al
10-13-2020	Toward Few-step Adversarial Training from a Frequency Perspective by Hans Shih-Han Wang et al
10-13-2020	Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting by Ghazi Felhi et al
10-15-2020	Revisiting Projection-free Online Learning: the Strongly Convex Case by Dan Garber et al
10-15-2020	Multi-view Hierarchical Clustering by Qinghai Zheng et al
10-14-2020	Boosting One-Point Derivative-Free Online Optimization via Residual Feedback by Yan Zhang et al
10-14-2020	Scalable Graph Networks for Particle Simulations by Karolis Martinkus et al
10-16-2020	A New Open-Access Platform for Measuring and Sharing mTBI Data by August G. Domel et al
10-16-2020	The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks by Takuo Matsubara et al
10-14-2020	A Graph Neural Network Framework for Causal Inference in Brain Networks by Simon Wein et al
10-16-2020	Failures of model-dependent generalization bounds for least-norm interpolation by Peter L. Bartlett et al
10-15-2020	Joint Inference of Multiple Graphs from Matrix Polynomials by Madeline Navarro et al
10-16-2020	Improved Predictive Deep Temporal Neural Networks with Trend Filtering by Youngjin Park et al
10-16-2020	From Talk to Action with Accountability: Monitoring the Public Discussion of Finnish Decision-Makers with Deep Neural Networks and Topic Modelling by Vili Hätönen et al
10-15-2020	DSLib: An open source library for the dominant set clustering method by Sebastiano Vascon et al
10-16-2020	Improved Communication Lower Bounds for Distributed Optimisation by Dan Alistarh et al
10-13-2020	Penalized model-based clustering of fMRI data by Andrew DiLernia et al
10-13-2020	S3ML: A Secure Serving System for Machine Learning Inference by Junming Ma et al

10-14-2020	Deep Neural Network Training with Frank-Wolfe by Sebastian Pokutta et al
10-16-2020	Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks by Kishan KC et al
10-15-2020	Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions by Zixin Zhong et al
10-16-2020	Neural Ordinary Differential Equations for Intervention Modeling by Daehoon Gwak et al
10-16-2020	Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction by Kishan KC et al
10-13-2020	A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price by Dipanwita Saha et al
10-13-2020	On the Fairness of Causal Algorithmic Recourse by Julius von Kügelgen et al
10-13-2020	Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment by Matthew Evanusa et al
10-14-2020	Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy by Onur Teymur et al
10-15-2020	Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach by Ruiyuan Lin et al
10-13-2020	Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants by Javier Rubio-Herrero et al
10-15-2020	Empirical Study of Transformers for Source Code by Nadezhda Chirkova et al
10-14-2020	An Adversarial Attack against Stacked Capsule Autoencoder by Jiazhu Dai et al
10-13-2020	Controllable Pareto Multi-Task Learning by Xi Lin et al
10-16-2020	Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models by Fan Bao et al
10-13-2020	Regret minimization in stochastic non-convex learning via a proximal-gradient approach by Nadav Hallak et al
10-15-2020	ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms by Yilun Wu
10-14-2020	Binarization Methods for Motor-Imagery Brain-Computer Interface Classification by Michael Hersche et al
10-16-2020	Feature Selection for Huge Data via Minipatch Learning by Tianyi Yao et al
10-16-2020	Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion by Xianghao Zhan et al
10-14-2020	FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data by Moming Duan et al
10-13-2020	Neighborhood Preserving Kernels for Attributed Graphs by Asif Salim et al
10-14-2020	VEST: Automatic Feature Engineering for Forecasting by Vitor Cerqueira et al
10-14-2020	Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices by Cong Hao et al
10-13-2020	Differential radial basis function network for sequence modelling by Kojo Sarfo Gyamfi et al
10-16-2020	Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements by Tran Nguyen Le et al
10-15-2020	Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns by Ziping Xu et al
10-14-2020	TriNE: Network Representation Learning for Tripartite Heterogeneous Networks by Zhabiz Gharibshah et al
10-13-2020	Succinct Explanations With Cascading Decision Trees by Jialu Zhang et al
10-13-2020	Simultaneously forecasting global geomagnetic activity using Recurrent Networks by Charles Topliff et al
10-15-2020	Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning by Kaiyi Ji et al
10-13-2020	Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates by Rushil Anirudh et al
10-14-2020	The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention by Ewa Nowara et al
10-13-2020	Procedural 3D Terrain Generation using Generative Adversarial Networks by Emmanouil Panagiotou et al
10-14-2020	Differentiable Implicit Layers by Andreas Look et al
10-13-2020	Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data by Alessio Netti et al
10-14-2020	Theoretical bounds on estimation error for meta-learning by James Lucas et al
10-15-2020	Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA) by Klaus Ackermann et al
10-15-2020	Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making by Charvi Rastogi et al
10-14-2020	Measuring the originality of intellectual property assets based on machine learning outputs by Sébastien Ragot
10-15-2020	Continuum-Armed Bandits: A Function Space Perspective by Shashank Singh
10-13-2020	Error-guided likelihood-free MCMC by Volodimir Begy et al
10-15-2020	Minimax Classification with 0-1 Loss and Performance Guarantees by Santiago Mazuelas et al
10-14-2020	Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting by Haoyu Chen et al
10-16-2020	ALdataset: a benchmark for pool-based active learning by Xueying Zhan et al
10-13-2020	Artist-driven layering and users behaviour impact on recommendations in a playlist continuation scenario by Sebastiano Antenucci et al
10-14-2020	Coarse-Grained Nonlinear System Identification by Span Spanbauer et al
10-13-2020	Provable Benefits of Representation Learning in Linear Bandits by Jiaqi Yang et al
10-13-2020	Direct Federated Neural Architecture Search by Anubhav Garg et al
10-14-2020	Disentangled Dynamic Graph Deep Generation by Wenbin Zhang et al
10-16-2020	On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series by Gastón García González et al
10-16-2020	On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration by Zhihao Cheng et al
10-15-2020	Orbital MCMC by Kirill Neklyudov et al
10-14-2020	Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network by Ankur Verma
10-16-2020	Projection-free Online Learning over Strongly Convex Sets by Yuanyu Wan et al
10-13-2020	Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning by Brian Ichter et al
10-13-2020	Credit card fraud detection using machine learning: A survey by Yvan Lucas et al
10-16-2020	SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning by Jonathan E. King et al
10-15-2020	Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design by Juan Jose Garau Luis et al
10-15-2020	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization by Xingfu Wu et al
10-13-2020	Modurec: Recommender Systems with Feature and Time Modulation by Javier Maroto et al
10-15-2020	Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards by Keyang He et al
10-15-2020	Fundamental Linear Algebra Problem of Gaussian Inference by Timothy D Barfoot
10-14-2020	Offer Personalization using Temporal Convolution Network and Optimization by Ankur Verma
10-15-2020	On the exact computation of linear frequency principle dynamics and its generalization by Tao Luo et al
10-15-2020	Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers by Alex Lamb et al