2020.9.28 Learning papers

 

09-23-2020

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
by Luke Metz et al

09-22-2020

Ethical Machine Learning in Health Care
by Irene Y. Chen et al

09-23-2020

Implicit Gradient Regularization
by David G. T. Barrett et al

09-24-2020

Cloud Cover Nowcasting with Deep Learning
by Léa Berthomier et al

09-22-2020

Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
by Yuanda Zhu et al

09-23-2020

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
by Jaemin Cho et al

09-24-2020

A Unifying Review of Deep and Shallow Anomaly Detection
by Lukas Ruff et al

09-22-2020

A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
by Arman Ghasemi et al

09-22-2020

Message Passing for Hyper-Relational Knowledge Graphs
by Mikhail Galkin et al

09-23-2020

Structure Aware Negative Sampling in Knowledge Graphs
by Kian Ahrabian et al

09-22-2020

On Data Augmentation for Extreme Multi-label Classification
by Danqing Zhang et al

09-23-2020

A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
by Guodong Zhang et al

09-24-2020

How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
by Keyulu Xu et al

09-24-2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
by Yue Wang et al

09-22-2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
by Jingtong Su et al

09-24-2020

Learning Graph Normalization for Graph Neural Networks
by Yihao Chen et al

09-24-2020

A Gradient Flow Framework For Analyzing Network Pruning
by Ekdeep Singh Lubana et al

09-23-2020

Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality
by Benedikt Hosp et al

09-24-2020

Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups
by Anoop Krishnan et al

09-24-2020

Interpreting and Boosting Dropout from a Game-Theoretic View
by Hao Zhang et al

09-22-2020

An Intuitive Tutorial to Gaussian Processes Regression
by Jie Wang

09-24-2020

G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
by Souradip Chakraborty et al

09-22-2020

Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI)
by Anuj Tiwari et al

09-23-2020

Detection of Iterative Adversarial Attacks via Counter Attack
by Matthias Rottmann et al

09-24-2020

Attribute Propagation Network for Graph Zero-shot Learning
by Lu Liu et al

09-24-2020

Theoretical Analysis of the Advantage of Deepening Neural Networks
by Yasushi Esaki et al

09-23-2020

Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
by Daiki Takeuchi et al

09-22-2020

Pruning Convolutional Filters using Batch Bridgeout
by Najeeb Khan et al

09-23-2020

Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
by Emmanuel Iarussi et al

09-23-2020

Unifying data for fine-grained visual species classification
by Sayali Kulkarni et al

09-23-2020

Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks
by Renhao Wang et al

09-23-2020

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
by Alaa Bessadok et al

09-24-2020

Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
by Boon Peng Yap et al

09-23-2020

Dataset Optimization Strategies for MalwareTraffic Detection
by Ivan Letteri et al

09-23-2020

Semantics-Preserving Adversarial Training
by Wonseok Lee et al

09-23-2020

Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
by D. L. Boyda et al

09-22-2020

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
by Hongjun Choi et al

09-25-2020

Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
by Tao Zhang et al

09-23-2020

Probabilistic Machine Learning for Healthcare
by Irene Y. Chen et al

09-23-2020

Robust and efficient post-processing for video object detection
by Alberto Sabater et al

09-24-2020

How Many Factors Influence Minima in SGD?
by Victor Luo et al

09-22-2020

Qlib: An AI-oriented Quantitative Investment Platform
by Xiao Yang et al

09-24-2020

Secure Data Sharing With Flow Model
by Chenwei Wu et al

09-22-2020

TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
by Brendan Reidy et al

09-23-2020

Towards a Flexible Embedding Learning Framework
by Chin-Chia Michael Yeh et al

09-23-2020

Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
by Sheng Zhang et al

09-23-2020

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
by Kanglin Hsieh et al

09-23-2020

Streaming Graph Neural Networks via Continual Learning
by Junshan Wang et al

09-23-2020

Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
by Dimche Kostadinov et al

09-24-2020

Discovery of Governing Equations with Recursive Deep Neural Networks
by Jia Zhao et al

09-24-2020

Clustering Based on Graph of Density Topology
by Zhangyang Gao et al

09-22-2020

Forecasting elections results via the voter model with stubborn nodes
by Antoine Vendeville et al

09-23-2020

Attention Driven Fusion for Multi-Modal Emotion Recognition
by Darshana Priyasad et al

09-23-2020

Representation Learning from Limited Educational Data with Crowdsourced Labels
by Wentao Wang et al

09-22-2020

Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition
by Bingcong Li et al

09-22-2020

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
by Joy Hsu et al

09-23-2020

Text Classification with Novelty Detection
by Qi Qin et al

09-23-2020

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
by Ismail Alaoui Abdellaoui et al

09-23-2020

Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
by Henry Kvinge et al

09-23-2020

Robust Finite-State Controllers for Uncertain POMDPs
by Murat Cubuktepe et al

09-22-2020

Revisiting Design Choices in Proximal Policy Optimization
by Chloe Ching-Yun Hsu et al

09-24-2020

A Computer Vision Approach to Combat Lyme Disease
by Sina Akbarian et al

09-23-2020

Cosine Similarity of Multimodal Content Vectors for TV Programmes
by Saba Nazir. Taner Cagali et al

09-25-2020

A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
by Krishanu Sarker et al

09-24-2020

Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
by Bin Zhang et al

09-24-2020

Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES
by Essam A. Rashed et al

09-25-2020

Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
by Shunsuke Kitada et al

09-24-2020

Machine learning for UAV-Based networks
by Mohamed-Amine Lahmeri et al

09-24-2020

Learning Equality Constraints for Motion Planning on Manifolds
by Giovanni Sutanto et al

09-22-2020

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we dont
by Weinan E et al

09-22-2020

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
by Ferran Alet et al

09-22-2020

Curriculum Learning with Diversity for Supervised Computer Vision Tasks
by Petru Soviany

09-22-2020

Stacked Generalization for Human Activity Recognition
by Ambareesh Ravi

09-22-2020

What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
by Yi-Shan Lin et al

09-22-2020

Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
by Dimitris Bertsimas et al

09-24-2020

Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
by Shah B. Shrey et al

09-23-2020

Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
by Hongwei Zhang et al

09-25-2020

Predicting galaxy spectra from images with hybrid convolutional neural networks
by John F. Wu et al

09-23-2020

Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs
by Hung Le et al

09-23-2020

Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
by Nidhin Harilal et al

09-23-2020

On the Ability of Self-Attention Networks to Recognize Counter Languages
by Satwik Bhattamishra et al

09-23-2020

A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
by Alexander Kalinowski et al

09-23-2020

Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
by Prashnna Kumar Gyawali et al

09-23-2020

Unfairness Discovery and Prevention For Few-Shot Regression
by Chen Zhao et al

09-24-2020

Improving Query Efficiency of Black-box Adversarial Attack
by Yang Bai et al

09-24-2020

ThreatZoom: CVE2CWE using Hierarchical Neural Network
by Ehsan Aghaei et al

09-22-2020

Anomalous diffusion dynamics of learning in deep neural networks
by Guozhang Chen et al

09-23-2020

A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
by Krishna C. Kalagarla et al

09-23-2020

Higher-Order Spectral Clustering for Geometric Graphs
by Konstantin Avrachenkov et al

09-22-2020

Is Q-Learning Provably Efficient? An Extended Analysis
by Kushagra Rastogi et al

09-22-2020

Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
by Rui Yu et al

09-25-2020

Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
by Jinyong Hou et al

09-22-2020

An l1l1-oracle inequality for the Lasso in mixture-of-experts regression models
by TrungTin Nguyen et al

09-24-2020

GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
by Pirazh Khorramshahi et al

09-22-2020

Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
by Ivan Tishchenko et al

09-23-2020

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data
by Thu Nguyen et al

09-25-2020

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
by Yuke Zhu et al

09-23-2020

EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement
by Farzana Beente Yusuf et al

09-23-2020

Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
by Ahmet Serkan Goktas et al

09-24-2020

Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
by Sanghyun Kim et al

09-25-2020

Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization
by Harsh Purohit et al

09-23-2020

Rank-Based Multi-task Learning for Fair Regression
by Chen Zhao et al

09-23-2020

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
by Swanand Kadhe et al

09-23-2020

Adversarial robustness via stochastic regularization of neural activation sensitivity
by Gil Fidel et al

09-23-2020

FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
by Tedd Kourkounakis et al

09-23-2020

Parameters for the best convergence of an optimization algorithm On-The-Fly
by Valdimir Pieter

09-24-2020

Identifying noisy labels with a transductive semi-supervised leave-one-out filter
by Bruno Klaus de Aquino Afonso et al

09-25-2020

Tarsier: Evolving Noise Injection in Super-Resolution GANs
by Baptiste Roziere et al

09-25-2020

Locally orderless tensor networks for classifying two- and three-dimensional medical images
by Raghavendra Selvan et al

09-23-2020

Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
by Rohun Kshirsagar et al

09-23-2020

Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
by Konstantinos Nikolaidis et al

09-25-2020

Towards Debiasing NLU Models from Unknown Biases
by Prasetya Ajie Utama et al

09-22-2020

Using Unsupervised Learning to Help Discover the Causal Graph
by Seamus Brady

09-22-2020

My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
by Konstantinos Nikolaidis et al

09-22-2020

Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
by Alexis Cooper et al

09-22-2020

Learning Task-Agnostic Action Spaces for Movement Optimization
by Amin Babadi et al

09-23-2020

Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
by Liang Wang et al

09-24-2020

EPNE: Evolutionary Pattern Preserving Network Embedding
by Junshan Wang et al

09-23-2020

A Partial Break of the Honeypots Defense to Catch Adversarial Attacks
by Nicholas Carlini

09-23-2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
by Zhen Zheng et al

09-22-2020

PodSumm -- Podcast Audio Summarization
by Aneesh Vartakavi et al

09-25-2020

Mirror Descent and the Information Ratio
by Tor Lattimore et al

09-25-2020

Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
by Sara Mandelli et al

09-23-2020

ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations
by Samuel Pfrommer et al

09-23-2020

Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
by Kazuma Tsuji et al

09-24-2020

BreachRadar: Automatic Detection of Points-of-Compromise
by Miguel Araujo et al

09-24-2020

Neural Identification for Control
by Priyabrata Saha et al

09-24-2020

Image-Based Sorghum Head Counting When You Only Look Once
by Lawrence Mosley et al

09-23-2020

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
by Péter Almási et al

09-23-2020

A Variational Auto-Encoder for Reservoir Monitoring
by Kristian Gundersen et al

09-23-2020

ANNdotNET -- deep learning tool on .NET Platform
by Bahrudin Hrnjica

09-22-2020

DeepVir -- Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning: Application to COVID-19
by Aanchal Mongia et al

09-23-2020

Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio
by Mohamed Elsayed et al

09-22-2020

Lets Stop Incorrect Comparisons in End-to-end Relation Extraction!
by Bruno Taillé et al

09-24-2020

Semi-supervised sequence classification through change point detection
by Nauman Ahad et al

09-23-2020

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
by Alexander Rodriguez et al

09-24-2020

A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
by Alexander Gepperth et al

09-22-2020

A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
by Susheel Suresh et al

09-24-2020

Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
by Laura Mora Ballestar et al

09-22-2020

Online AUC Optimization for Sparse High-Dimensional Datasets
by Baojian Zhou et al

09-24-2020

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
by Subhajit Chaudhury et al

09-24-2020

N-BEATS neural network for mid-term electricity load forecasting
by Boris N. Oreshkin et al

09-22-2020

Inter-database validation of a deep learning approach for automatic sleep scoring
by Diego Alvarez-Estevez et al

09-24-2020

Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
by Jihed Khiari et al

09-24-2020

Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
by Zhiyu Yao et al

09-25-2020

Deep Learning based Covert Attack Identification for Industrial Control Systems
by Dan Li et al

09-24-2020

Continual Model-Based Reinforcement Learning with Hypernetworks
by Yizhou Huang et al

09-24-2020

A physics-informed operator regression framework for extracting data-driven continuum models
by Ravi G. Patel et al

09-24-2020

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
by Youngkyu Kim et al

09-23-2020

Learning Mixtures of Low-Rank Models
by Yanxi Chen et al

09-25-2020

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
by Xin Qian et al

09-22-2020

DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
by Sk Mazharul Islam et al

09-24-2020

Online Learning With Adaptive Rebalancing in Nonstationary Environments
by Kleanthis Malialis et al

09-24-2020

Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
by Ruiyu Xu et al

09-25-2020

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
by Tri Minh Nguyen et al

09-22-2020

Privacy Preserving K-Means Clustering: A Secure Multi-Party Computation Approach
by Daniel Hurtado Ramírez et al

09-24-2020

Legally grounded fairness objectives
by Dylan Holden-Sim et al

09-24-2020

daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery
by Yidan Qin et al

09-22-2020

Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
by Nijat Mehdiyev et al

09-23-2020

Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
by Islem Mhiri et al

09-23-2020

Probabilistic Label Trees for Extreme Multi-label Classification
by Kalina Jasinska-Kobus et al

09-22-2020

Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
by Amin Shojaeighadikolaei et al

09-25-2020

Deep Reinforcement Learning with Stage Incentive Mechanism for Robotic Trajectory Planning
by Jin Yang et al

09-23-2020

ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
by Mohamed Handaoui et al

09-25-2020

Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula
by Yuxuan Zhao et al

09-25-2020

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
by Xuguang Wang et al

09-23-2020

Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints
by Wenliang Liu et al

09-22-2020

PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure
by Md Aminur Rab Ratul et al

09-24-2020

Tuning Word2vec for Large Scale Recommendation Systems
by Benjamin P. Chamberlain et al

09-24-2020

Style-invariant Cardiac Image Segmentation with Test-time Augmentation
by Xiaoqiong Huang et al

09-22-2020

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
by Cheng Chen et al

09-24-2020

Adversarial Examples in Deep Learning for Multivariate Time Series Regression
by Gautam Raj Mode et al

09-23-2020

Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
by Dingqing Yang et al

09-22-2020

Automating Outlier Detection via Meta-Learning
by Yue Zhao et al

09-24-2020

PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
by Xueli Xiao et al

09-22-2020

A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
by Anjukan Kathirgamanathan et al

09-22-2020

Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
by Ping-En Lu et al

09-22-2020

Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models
by John Daniel Bossér et al

09-25-2020

Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
by Gan Zhou et al

09-24-2020

An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
by Fares Fourati et al

09-24-2020

A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
by M. Ugur Yavas et al

09-22-2020

Property-Directed Verification of Recurrent Neural Networks
by Igor Khmelnitsky et al

09-25-2020

An Unsupervised Sentence Embedding Method byMutual Information Maximization
by Yan Zhang et al

09-24-2020

Self-Weighted Robust LDA for Multiclass Classification with Edge Classes
by Caixia Yan et al

09-22-2020

On the proliferation of support vectors in high dimensions
by Daniel Hsu et al

09-25-2020

Towards the Automation of a Chemical Sulphonation Process with Machine Learning
by Enrique Garcia-Ceja et al

09-22-2020

An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
by Chongshou Li et al

09-22-2020

Gamma distribution-based sampling for imbalanced data
by Firuz Kamalov et al

09-24-2020

Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection
by Kai Ming Ting et al

09-22-2020

Learning Concepts Described by Weight Aggregation Logic
by Steffen van Bergerem et al

09-25-2020

Resource-Constrained On-Device Learning by Dynamic Averaging
by Lukas Heppe et al

09-22-2020

My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
by Dimitra Karanatsiou et al

09-24-2020

Revealing the Myth of Higher-Order Inference in Coreference Resolution
by Liyan Xu et al

09-24-2020

Bayesian Topological Learning for Classifying the Structure of Biological Networks
by Vasileios Maroulas et al

09-23-2020

Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation
by John Lagergren et al

09-23-2020

Deep Neural Networks with Short Circuits for Improved Gradient Learning
by Ming Yan et al

09-25-2020

A Survey on Model Watermarking Neural Networks
by Franziska Boenisch

09-22-2020

Asynchronous Distributed Optimization with Randomized Delays
by Margalit Glasgow et al

09-25-2020

Stein Variational Gaussian Processes
by Thomas Pinder et al

09-22-2020

ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning
by Armin Moin et al

09-22-2020

From Things Modeling Language (ThingML) to Things Machine Learning (ThingML2)
by Armin Moin et al

09-24-2020

Predicting Parkinsons Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
by Weijian Li et al

09-24-2020

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
by Fangshu Yang et al

09-23-2020

Message passing for probabilistic models on networks with loops
by Alec Kirkley et al

09-22-2020

Dynamic Fusion based Federated Learning for COVID-19 Detection
by Weishan Zhang et al

09-25-2020

Multilevel Gibbs Sampling for Bayesian Regression
by Joris Tavernier et al

09-25-2020

A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
by Enrique Garcia-Ceja et al

09-25-2020

Flexible Performant GEMM Kernels on GPU
by Thomas Faingnaert et al

09-22-2020

Partially Observable Online Change Detection via Smooth-Sparse Decomposition
by Jie Guo et al

09-22-2020

E-BATCH: Energy-Efficient and High-Throughput RNN Batching
by Franyell Silfa et al

09-22-2020

Ultra-dense Low Data Rate (UDLD) Communication in the THz
by Rohit Singh et al

09-25-2020

Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features
by Andrea Bommert et al

09-24-2020

Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
by Ana Valeria Gonzalez et al

09-24-2020

A Comparative Study of Feature Types for Age-Based Text Classification
by Anna Glazkova et al

09-22-2020

Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
by Lin Chen et al

09-23-2020

Grain Surface Classification via Machine Learning Methods
by Hüseyin Duysak et al

09-24-2020

A Meta-learning based Distribution System Load Forecasting Model Selection Framework
by Yiyan Li et al

09-22-2020

How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment
by Yun Zhao et al

09-23-2020

End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications
by Arthur Cruz de Araujo et al

 
Craig Smith