2020.12.21 Learning papers

12-15-2020	Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures by David Ding et al
12-16-2020	Graph Neural Networks: Taxonomy, Advances and Trends by Yu Zhou et al
12-16-2020	Learning Continuous Image Representation with Local Implicit Image Function by Yinbo Chen et al
12-17-2020	Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations by Cynthia Shen et al
12-15-2020	Learning Energy-Based Models by Diffusion Recovery Likelihood by Ruiqi Gao et al
12-17-2020	Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image by Ronghang Hu et al
12-17-2020	Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent by Peter Schaldenbrand et al
12-17-2020	ViNG: Learning Open-World Navigation with Visual Goals by Dhruv Shah et al
12-16-2020	Sparse Signal Models for Data Augmentation in Deep Learning ATR by Tushar Agarwal et al
12-17-2020	Toward Transformer-Based Object Detection by Josh Beal et al
12-17-2020	A Generalization of Transformer Networks to Graphs by Vijay Prakash Dwivedi et al
12-17-2020	On the experimental feasibility of quantum state reconstruction via machine learning by Sanjaya Lohani et al
12-15-2020	FoggySight: A Scheme for Facial Lookup Privacy by Ivan Evtimov et al
12-15-2020	Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? by Antoine Grosnit et al
12-16-2020	Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces by Bert Moons et al
12-17-2020	Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning by Rafael Peres da Silva et al
12-17-2020	Image-Based Jet Analysis by Michael Kagan
12-17-2020	Neural Radiance Flow for 4D View Synthesis and Video Processing by Yilun Du et al
12-16-2020	Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation by Mehdi Bahri et al
12-16-2020	Clustering with Iterated Linear Optimization by Pedro Felzenszwalb et al
12-16-2020	DECOR-GAN: 3D Shape Detailization by Conditional Refinement by Zhiqin Chen et al
12-17-2020	Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery by Saba Dadsetan et al
12-17-2020	Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning by Jerry Zikun Chen et al
12-16-2020	Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection by Edward Raff et al
12-17-2020	On Episodes, Prototypical Networks, and Few-shot Learning by Steinar Laenen et al
12-16-2020	Deep Reinforcement Learning of Graph Matching by Chang Liu et al
12-16-2020	uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning by Biagio Brattoli et al
12-17-2020	Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency by Qiang Zhang et al
12-18-2020	Instance Space Analysis for the Car Sequencing Problem by Yuan Sun et al
12-17-2020	Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence by Satish K. Panda et al
12-16-2020	Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation by Hao Tang et al
12-18-2020	Exact Reduction of Huge Action Spaces in General Reinforcement Learning by Sultan Javed Majeed et al
12-15-2020	Machine Learning for MU-MIMO Receive Processing in OFDM Systems by Mathieu Goutay et al
12-17-2020	Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues by Ricard Durall et al
12-15-2020	StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding by Jinshan Zeng et al
12-17-2020	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning by Matthieu Zimmer et al
12-17-2020	Temporal LiDAR Frame Prediction for Autonomous Driving by David Deng et al
12-16-2020	S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds by Ran Cheng et al
12-15-2020	Responsible Disclosure of Generative Models Using Scalable Fingerprinting by Ning Yu et al
12-16-2020	On Avoiding the Union Bound When Answering Multiple Differentially Private Queries by Badih Ghazi et al
12-17-2020	End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box by Vladislav Belyaev et al
12-16-2020	Neural Pruning via Growing Regularization by Huan Wang et al
12-16-2020	On the Limitations of Denoising Strategies as Adversarial Defenses by Zhonghan Niu et al
12-16-2020	Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images by Abdullah Sarhan et al
12-16-2020	Do You Do Yoga? Understanding Twitter Users Types and Motivations using Social and Textual Information by Tunazzina Islam et al
12-15-2020	Molecular machine learning with conformer ensembles by Simon Axelrod et al
12-15-2020	Generation of complex database queries and API calls from natural language utterances by Amol Kelkar et al
12-16-2020	Relational Boosted Bandits by Ashutosh Kakadiya et al
12-16-2020	Variational Quantum Algorithms by M. Cerezo et al
12-17-2020	XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory by Nazanin Fouladgar et al
12-17-2020	Continual Lifelong Learning in Natural Language Processing: A Survey by Magdalena Biesialska et al
12-16-2020	Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text by Ravi Sharma et al
12-17-2020	SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning by Hanrui Wang et al
12-16-2020	Machine Learning for Detecting Data Exfiltration by Bushra Sabir et al
12-17-2020	Joint Search of Data Augmentation Policies and Network Architectures by Taiga Kashima et al
12-15-2020	Masksembles for Uncertainty Estimation by Nikita Durasov et al
12-16-2020	Detection of data drift and outliers affecting machine learning model performance over time by Samuel Ackerman et al
12-17-2020	Towards Optimal District Heating Temperature Control in China with Deep Reinforcement Learning by Adrien Le-Coz et al
12-15-2020	Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks by Cunchao Zhu et al
12-16-2020	Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning--Based Malware Detection by Robert A. Bridges et al
12-15-2020	Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks by Darya Trofimova et al
12-17-2020	cif-based collaborative decoding for end-to-end contextual speech recognition by Minglun Han et al
12-17-2020	On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks by Sifan Wang et al
12-15-2020	Policy Manifold Search for Improving Diversity-based Neuroevolution by Nemanja Rakicevic et al
12-17-2020	Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning by Zhiyuan Li et al
12-15-2020	Model-Based Deep Learning by Nir Shlezinger et al
12-17-2020	Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree by Hezam Albaqami et al
12-18-2020	Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems by Alberto Bemporad et al
12-15-2020	FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems by Lu Chen et al
12-15-2020	Calibrated Adaptive Probabilistic ODE Solvers by Nathanael Bosch et al
12-18-2020	Upper and Lower Bounds on the Performance of Kernel PCA by Maxime Haddouche et al
12-16-2020	MASKER: Masked Keyword Regularization for Reliable Text Classification by Seung Jun Moon et al
12-17-2020	A new semi-supervised self-training method for lung cancer prediction by Kelvin Shak et al
12-16-2020	Data optimization for large batch distributed training of deep neural networks by Shubhankar Gahlot et al
12-16-2020	Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration by Lei Sha et al
12-18-2020	Classification with Strategically Withheld Data by Anilesh K. Krishnaswamy et al
12-16-2020	A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks by Lavanya Umapathy et al
12-15-2020	Amazon SageMaker Autopilot: a white box AutoML solution at scale by Piali Das et al
12-15-2020	Spectral Methods for Data Science: A Statistical Perspective by Yuxin Chen et al
12-16-2020	Optimal transport for vector Gaussian mixture models by Jiening Zhu et al
12-15-2020	VSQL: Variational Shadow Quantum Learning for Classification by Guangxi Li et al
12-16-2020	Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism by Denisa A. O. Roberts
12-15-2020	Squirrel: A Switching Hyperparameter Optimizer by Noor Awad et al
12-17-2020	Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs by Marcel Wienöbst et al
12-15-2020	Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection by Deepak Ravikumar et al
12-15-2020	Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems by Yuzhe Ma et al
12-16-2020	Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software by Olivier Rukundo
12-15-2020	Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes by Dongruo Zhou et al
12-15-2020	Nested Named Entity Recognition with Partially-Observed TreeCRFs by Yao Fu et al
12-18-2020	A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks by Deniz Gurevin et al
12-15-2020	*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task by Dmitry Tsarkov et al
12-16-2020	Measuring Disentanglement: A Review of Metrics by Julian Zaidi et al
12-18-2020	Understood in Translation, Transformers for Domain Understanding by Dimitrios Christofidellis et al
12-17-2020	A Fast Algorithm for Heart Disease Prediction using Bayesian Network Model by Mistura Muibideen et al
12-15-2020	Unsupervised Learning of Global Factors in Deep Generative Models by Ignacio Peis et al
12-17-2020	Information-Preserving Contrastive Learning for Self-Supervised Representations by Tianhong Li et al
12-18-2020	A Benchmark Arabic Dataset for Commonsense Explanation by Saja AL-Tawalbeh et al
12-17-2020	Searching for Possible Exoplanet Transits from BRITE Data through a Machine Learning Technique by Li-Chin Yeh et al
12-16-2020	Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data by Aleksandra Malysheva et al
12-17-2020	Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL by Simon Hirlaender et al
12-16-2020	Predicting Generalization in Deep Learning via Metric Learning -- PGDL Shared task by Sebastian Mežnar et al
12-16-2020	Multi-type Disentanglement without Adversarial Training by Lei Sha et al
12-16-2020	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks by Xiangyu Chang et al
12-17-2020	Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning by Zeyuan Allen-Zhu et al
12-16-2020	Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms by Claudio Pinhanez et al
12-17-2020	Maximum Entropy competes with Maximum Likelihood by A. E. Allahverdyan et al
12-17-2020	Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey by Cédric Colas et al

12-15-2020	QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech Classification by Deepak Kumar et al
12-15-2020	Mitigating bias in calibration error estimation by Rebecca Roelofs et al
12-18-2020	Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing by Xiong Liu et al
12-15-2020	DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition by Weizhou Shen et al
12-17-2020	RainBench: Towards Global Precipitation Forecasting from Satellite Imagery by Christian Schroeder de Witt et al
12-17-2020	ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games by Kevin Denamganaï et al
12-18-2020	Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates by Feiyan Hu et al
12-16-2020	Generate and Verify: Semantically Meaningful Formal Analysis of Neural Network Perception Systems by Chris R. Serrano et al
12-18-2020	Investigating the Ground-level Ozone Formation and Future Trend in Taiwan by Yu-Wen Chen et al
12-17-2020	Research Reproducibility as a Survival Analysis by Edward Raff
12-15-2020	Policy Optimization as Online Learning with Mediator Feedback by Alberto Maria Metelli et al
12-17-2020	MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning by Aleksandra Malysheva et al
12-15-2020	Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information by Qi Chang et al
12-17-2020	Computational principles of intelligence: learning and reasoning with neural networks by Abel Torres Montoya
12-18-2020	Separation and Concentration in Deep Networks by John Zarka et al
12-17-2020	EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders by Siddharth Biswal et al
12-15-2020	Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data by Nick Altieri et al
12-16-2020	Learning-Based Algorithms for Vessel Tracking: A Review by Dengqiang Jia et al
12-15-2020	Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution by Yifan Zhang et al
12-16-2020	AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators by Qing Wan et al
12-15-2020	Wasserstein Contrastive Representation Distillation by Liqun Chen et al
12-17-2020	SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps by Manuel López-Radcenco et al
12-16-2020	An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center by Sean Oesch et al
12-15-2020	CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning by Yang He et al
12-15-2020	High throughput screening with machine learning by Oleksandr Gurbych et al
12-15-2020	Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification by Lavender Yao Jiang et al
12-15-2020	Objective-Based Hierarchical Clustering of Deep Embedding Vectors by Stanislav Naumov et al
12-17-2020	Attention-based Image Upsampling by Souvik Kundu et al
12-18-2020	Generative Neural Samplers for the Quantum Heisenberg Chain by Johanna Vielhaben et al
12-15-2020	Jet tagging in the Lund plane with graph networks by Frédéric A. Dreyer et al
12-15-2020	PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning by Yuan Luo et al
12-18-2020	Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices by Karthik Bhat et al
12-17-2020	Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks by Xiang Li et al
12-15-2020	Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization by Valerio Perrone et al
12-17-2020	Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning by Li Wang et al
12-18-2020	Small Business Classification By Name: Addressing Gender and Geographic Origin Biases by Daniel Shapiro
12-16-2020	Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design by Yingjie Li et al
12-15-2020	Towards a 6G AI-Native Air Interface by Jakob Hoydis et al
12-15-2020	BeBold: Exploration Beyond the Boundary of Explored Regions by Tianjun Zhang et al
12-15-2020	Learning Prediction Intervals for Model Performance by Benjamin Elder et al
12-16-2020	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design by Chaochao Chen et al
12-16-2020	Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model by David Meyer et al
12-16-2020	Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation by Chaochao Lu et al
12-16-2020	You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection by Prateek Chaudhry et al
12-17-2020	Helping Reduce Environmental Impact of Aviation with Machine Learning by Ashish Kapoor
12-16-2020	Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation by Diksha Garg et al
12-18-2020	MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models by Ioan Gabriel Bucur et al
12-18-2020	Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components by Michael H. Lim et al
12-16-2020	Programmable Quantum Annealers as Noisy Gibbs Samplers by Marc Vuffray et al
12-16-2020	Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference by Yichao Zhou et al
12-17-2020	High-Throughput Synchronous Deep RL by Iou-Jen Liu et al
12-17-2020	Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals by Zhao Wang et al
12-15-2020	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks by Michael Gadermayr et al
12-18-2020	Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks by Kieran Browne et al
12-15-2020	Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction by QHwan Kim et al
12-15-2020	Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions by Yifeng Guo et al
12-17-2020	ErGAN: Generative Adversarial Networks for Entity Resolution by Jingyu Shao et al
12-17-2020	Hardness of Learning Halfspaces with Massart Noise by Ilias Diakonikolas et al
12-16-2020	Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting by Qingyi Pan et al
12-16-2020	Applying Deutschs concept of good explanations to artificial intelligence and neuroscience -- an initial exploration by Daniel C. Elton
12-17-2020	Fairkit, Fairkit, on the Wall, Whos the Fairest of Them All? Supporting Data Scientists in Training Fair Models by Brittany Johnson et al
12-16-2020	Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient by Fengli Gao et al
12-15-2020	Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese by Thi-Vinh Ngo et al
12-16-2020	Metrical Task Systems with Online Machine Learned Advice by Kevin Rao
12-15-2020	Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis by Shachar Gluska et al
12-18-2020	Identification of Metallic Objects using Spectral MPT Signatures: Object Characterisation and Invariants by P. D. Ledger et al
12-18-2020	Neural Network Embeddings for Test Case Prioritization by João Lousada et al
12-15-2020	CUDA-Optimized real-time rendering of a Foveated Visual System by Elian Malkin et al
12-15-2020	Machine Learning for automatic identification of new minor species by Frederic Schmidt et al
12-17-2020	Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions by Anh Truong et al
12-17-2020	Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction by Jingbo Zhou et al
12-15-2020	Exacerbating Algorithmic Bias through Fairness Attacks by Ninareh Mehrabi et al
12-15-2020	Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework by Han Zhang et al
12-15-2020	TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors by Shaoxiong Wang et al
12-16-2020	More Industry-friendly: Federated Learning with High Efficient Design by Dingwei Li et al
12-15-2020	Confidential Machine Learning on Untrusted Platforms: A Survey by Sagar Sharma et al
12-18-2020	When Machine Learning Meets Quantum Computers: A Case Study by Weiwen Jiang et al
12-16-2020	A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities by Rishi Rabheru et al
12-15-2020	BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning by Hyeryung Jang et al
12-17-2020	Few-shot Sequence Learning with Transformers by Lajanugen Logeswaran et al
12-15-2020	Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection by Jingru Tan et al
12-17-2020	Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets by T. Mitchell Roddenberry et al
12-16-2020	TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask) by Ren Pang et al
12-16-2020	Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations by Rachana Balasubramanian et al
12-17-2020	Characterizing the Evasion Attackability of Multi-label Classifiers by Zhuo Yang et al
12-15-2020	PDFFlow: hardware accelerating parton density access by Marco Rossi et al
12-16-2020	MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification by Angus Dempster et al
12-18-2020	ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries by Jinyin Chen et al
12-15-2020	A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring by Gege Zhang
12-17-2020	DenseHMM: Learning Hidden Markov Models by Learning Dense Representations by Joachim Sicking et al
12-18-2020	Learning from History for Byzantine Robust Optimization by Sai Praneeth Karimireddy et al
12-16-2020	Automatic source localization and spectra generation from deconvolved beamforming maps by Armin Goudarzi et al
12-15-2020	Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments by Tianchen Ji et al
12-15-2020	Testing and reconstruction via decision trees by Guy Blanc et al
12-15-2020	Distant-Supervised Slot-Filling for E-Commerce Queries by Saurav Manchanda et al
12-16-2020	Balancing Geometry and Density: Path Distances on High-Dimensional Data by Anna Little et al
12-15-2020	Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting by Li Mengzhang et al
12-18-2020	Adversarially Robust Estimate and Risk Analysis in Linear Regression by Yue Xing et al
12-18-2020	Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments by Rahul Singh
12-15-2020	Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning by Georgios Th. Papadopoulos et al
12-15-2020	Automatic Speech Verification Spoofing Detection by Shentong Mo et al
12-16-2020	L\evy walks derived from a Bayesian decision-making model in non-stationary environments by Shuji Shinohara et al
12-15-2020	AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction by Yeasir Rayhan et al
12-15-2020	Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games by Stratis Skoulakis et al
12-18-2020	Universal Approximation in Dropout Neural Networks by Oxana A. Manita et al
12-15-2020	Scalable Verification of Quantized Neural Networks (Technical Report) by Thomas A. Henzinger et al
12-18-2020	Stable Implementation of Probabilistic ODE Solvers by Nicholas Krämer et al
12-18-2020	Fair for All: Best-effort Fairness Guarantees for Classification by Anilesh K. Krishnaswamy et al
12-18-2020	Deep learning and high harmonic generation by M. Lytova et al
12-18-2020	Convergence dynamics of Generative Adversarial Networks: the dual metric flows by Gabriel Turinici
12-18-2020	Artificial Neural Networks to Impute Rounded Zeros in Compositional Data by Matthias Templ
12-16-2020	Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning by Nathan O. Lambert et al
12-17-2020	Named Entity Recognition in the Legal Domain using a Pointer Generator Network by Stavroula Skylaki et al
12-17-2020	The Variational Method of Moments by Andrew Bennett et al
12-16-2020	Computational discovery of new 2D materials using deep learning generative models by Yuqi Song et al
12-15-2020	Inference of Causal Effects when Adjustment Sets are Unknown by Ludvig Hult et al
12-18-2020	Multi-characteristic Subject Selection from Biased Datasets by Tahereh Arabghalizi et al
12-16-2020	Using noise resilience for ranking generalization of deep neural networks by Depen Morwani et al
12-15-2020	On simplification of Dual-Youla approach for closed-loop identification by Toshiharu Sugie et al
12-16-2020	Time-Aware Tensor Decomposition for Missing Entry Prediction by Dawon Ahn et al
12-15-2020	Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning by Kaleem Nawaz Khan et al
12-15-2020	Learning Aggregation Functions by Giovanni Pellegrini et al
12-16-2020	On The Verification of Neural ODEs with Stochastic Guarantees by Sophie Gruenbacher et al
12-18-2020	Spacecraft Collision Risk Assessment with Probabilistic Programming by Giacomo Acciarini et al
12-15-2020	Online Learning Demands in Max-min Fairness by Kirthevasan Kandasamy et al
12-15-2020	Variational Beam Search for Online Learning with Distribution Shifts by Aodong Li et al
12-17-2020	Estimating mixed-memberships using the Symmetric Laplacian Inverse Matrix by Huan Qing et al
12-15-2020	Personalized Federated Learning with First Order Model Optimization by Michael Zhang et al
12-17-2020	Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps by Jens Lundell et al
12-17-2020	Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers by Kayla Bollinger et al
12-16-2020	Visually Grounding Instruction for History-Dependent Manipulation by Hyemin Ahn et al
12-18-2020	Application of computer simulation results and machine learning in analysis of microwave radiothermometry data by Maxim Polyakov et al
12-16-2020	Clustering Ensemble Meets Low-rank Tensor Approximation by Yuheng Jia et al
12-18-2020	An Experimental Study of the Transferability of Spectral Graph Networks by Axel Nilsson et al
12-18-2020	Fairness and Accuracy in Federated Learning by Wei Huang et al
12-17-2020	Stabilizing Q Learning Via Soft Mellowmax Operator by Yaozhong Gan et al
12-15-2020	Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks by Mohammadreza Doostmohammadian et al
12-15-2020	Detection of Anomalies in a Time Series Data using InfluxDB and Python by Tochukwu John Anih et al
12-16-2020	On O(max{n1,n2}log(max{n1,n2}n3))O(max{n1,n2}log⁡(max{n1,n2}n3)) Sample Entries for n1×n2×n3n1×n2×n3 Tensor Completion via Unitary Transformation by Guang-Jing Song et al
12-15-2020	Neural Collapse with Cross-Entropy Loss by Jianfeng Lu et al
12-18-2020	Towards Robust Explanations for Deep Neural Networks by Ann-Kathrin Dombrowski et al
12-18-2020	Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization by David Peter et al
12-15-2020	Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features by Michael Herman et al
12-15-2020	Amata: An Annealing Mechanism for Adversarial Training Acceleration by Nanyang Ye et al
12-18-2020	Efficient Training of Robust Decision Trees Against Adversarial Examples by Daniël Vos et al
12-15-2020	SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression by Wei Cheng et al
12-17-2020	Causality-Aware Neighborhood Methods for Recommender Systems by Masahiro Sato et al
12-15-2020	Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems by Marcus Venzke et al
12-15-2020	Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication by Sen Lin et al
12-18-2020	Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization by Mikita Sazanovich et al
12-16-2020	AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction by Huifeng Guo et al
12-15-2020	A Note on Optimizing the Ratio of Monotone Supermodular Functions by Wenxin Li
12-18-2020	The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems by Masha Medvedeva et al
12-16-2020	A comparative evaluation of machine learning methods for robot navigation through human crowds by Anastasia Gaydashenko et al
12-17-2020	Guiding Neural Network Initialization via Marginal Likelihood Maximization by Anthony S. Tai et al
12-16-2020	Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymized Spatial Adjacency Information by M. H. Rahman et al
12-17-2020	Unsupervised clustering of coral reef bioacoustics by Emma Ozanich et al
12-16-2020	A connection between the pattern classification problem and the General Linear Model for statistical inference by Juan Manuel Gorriz et al
12-17-2020	Prediction of brain strain across head impact subtypes using 18 brain injury criteria by Xianghao Zhan et al
12-15-2020	Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation by Sophie Burkhardt et al
12-17-2020	An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media by Cong Tran et al
12-15-2020	Strong overall error analysis for the training of artificial neural networks via random initializations by Arnulf Jentzen et al
12-15-2020	Cost-Effective Federated Learning Design by Bing Luo et al
12-16-2020	Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce by Yuting Chen et al
12-15-2020	Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks by Yuhang Yao et al
12-16-2020	Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation by Ivan Sosin et al
12-15-2020	Anomaly Detection and Localization based on Double Kernelized Scoring and Matrix Kernels by Shunsuke Hirose et al
12-17-2020	Binomial Tails for Community Analysis by Omid Madani et al
12-15-2020	LSTM-based Space Occupancy Prediction towards Efficient Building Energy Management by Juye Kim et al
12-16-2020	Learning-NUM: Network Utility Maximization with Unknown Utility Functions and Queueing Delay by Xinzhe Fu et al
12-17-2020	Stochastic Compositional Gradient Descent under Compositional constraints by Srujan Teja Thomdapu et al
12-16-2020	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation by Haoyue Bai et al
12-17-2020	Experts with Lower-Bounded Loss Feedback: A Unifying Framework by Eyal Gofer et al
12-16-2020	Speech Enhancement with Zero-Shot Model Selection by Ryandhimas E. Zezario et al
12-17-2020	Treatment Targeting by AUUC Maximization with Generalization Guarantees by Artem Betlei et al
12-16-2020	ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites by Duc-Trong Le et al
12-16-2020	Investigating ADR mechanisms with knowledge graph mining and explainable AI by Emmanuel Bresso et al
12-15-2020	Hierarchical Graph Capsule Network by Jinyu Yang et al
12-16-2020	Planning From Pixels in Atari With Learned Symbolic Representations by Andrea Dittadi et al
12-15-2020	Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity by Kexin Pei et al
12-15-2020	Aging Bandits: Regret Analysis and Order-Optimal Learning Algorithm for Wireless Networks with Stochastic Arrivals by Eray Unsal Atay et al
12-17-2020	Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score by Alejandro Schuler et al
12-15-2020	Inexact-ADMM based Federated Meta-Learning for Fast and Continual Edge Learning by Sheng Yue et al
12-16-2020	From Weakly Supervised Learning to Biquality Learning, a brief introduction by Pierre Nodet et al
12-16-2020	FedADC: Accelerated Federated Learning with Drift Control by Emre Ozfatura et al
12-17-2020	Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods by Goce Ristanoski et al
12-15-2020	Understanding the Behaviour of Contrastive Loss by Feng Wang et al
12-15-2020	Weakly Supervised Label Smoothing by Gustavo Penha et al
12-15-2020	On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models by Yuxuan et al
12-15-2020	Robust Optimal Classification Trees under Noisy Labels by Víctor Blanco et al
12-15-2020	Deep Fusion Clustering Network by Wenxuan Tu et al
12-16-2020	Predictive K-means with local models by Vincent Lemaire et al
12-17-2020	High Dimensional Level Set Estimation with Bayesian Neural Network by Huong Ha et al
12-16-2020	Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings by Henning Lange et al
12-16-2020	Learning active learning at the crossroads? evaluation and discussion by Louis Desreumaux et al
12-15-2020	Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method by Jin Wang et al
12-15-2020	Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being by Amir M. Rahmani et al