2020.3.23 Learning papers

 

03-18-2020

Neuroevolution of Self-Interpretable Agents
by Yujin Tang et al

03-18-2020

Pre-trained Models for Natural Language Processing: A Survey
by Xipeng Qiu et al

03-17-2020

Rethinking Batch Normalization in Transformers
by Sheng Shen et al

03-19-2020

High-Resolution Daytime Translation Without Domain Labels
by Ivan Anokhin et al

03-17-2020

Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics
by Malik Magdon-Ismail

03-17-2020

Blur, Noise, and Compression Robust Generative Adversarial Networks
by Takuhiro Kaneko et al

03-18-2020

Fixing the train-test resolution discrepancy: FixEfficientNet
by Hugo Touvron et al

03-19-2020

Overinterpretation reveals image classification model pathologies
by Brandon Carter et al

03-18-2020

OpenGAN: Open Set Generative Adversarial Networks
by Luke Ditria et al

03-17-2020

Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
by Umar Iqbal et al

03-18-2020

Collaborative Distillation for Ultra-Resolution Universal Style Transfer
by Huan Wang et al

03-18-2020

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
by Hang Zhou et al

03-18-2020

Train, Learn, Expand, Repeat
by Abhijeet Parida et al

03-18-2020

MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
by Madan Ravi Ganesh et al

03-18-2020

Self-Supervised Contextual Bandits in Computer Vision
by Aniket Anand Deshmukh et al

03-19-2020

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
by Tabish Rashid et al

03-18-2020

Gaze-Sensing LEDs for Head Mounted Displays
by Kaan Akşit et al

03-17-2020

A Unified View of Label Shift Estimation
by Saurabh Garg et al

03-17-2020

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
by Yu Tian et al

03-18-2020

Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
by Rishikesh Magar et al

03-18-2020

MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality
by Zhengyang Wu et al

03-19-2020

Ensemble learning in CNN augmented with fully connected subnetworks
by Daiki Hirata et al

03-19-2020

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
by Oliver Groth et al

03-19-2020

LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
by Guangli Li et al

03-18-2020

Lifelong Learning with Searchable Extension Units
by Wenjin Wang et al

03-19-2020

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning
by Nikan K. Namiri et al

03-19-2020

Inverse Problems, Deep Learning, and Symmetry Breaking
by Kshitij Tayal et al

03-19-2020

Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo
by Ayan Sinha et al

03-17-2020

Incremental Object Detection via Meta-Learning
by K J Joseph et al

03-18-2020

Weakly Supervised PET Tumor Detection Using Class Response
by Amine Amyar et al

03-18-2020

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
by Ali Athar et al

03-17-2020

Nonparametric Deconvolution Models
by Allison J. B. Chaney et al

03-17-2020

Calibration of Pre-trained Transformers
by Shrey Desai et al

03-18-2020

Viewport-Aware Deep Reinforcement Learning Approach for 360oo Video Caching
by Pantelis Maniotis et al

03-19-2020

Beheshti-NER: Persian Named Entity Recognition Using BERT
by Ehsan Taher et al

03-18-2020

Federated Visual Classification with Real-World Data Distribution
by Tzu-Ming Harry Hsu et al

03-17-2020

Teacher-Student chain for efficient semi-supervised histology image classification
by Shayne Shaw et al

03-17-2020

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
by Huiyu Wang et al

03-17-2020

Overview of the TREC 2019 deep learning track
by Nick Craswell et al

03-19-2020

RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images
by Amine Amyar et al

03-17-2020

Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
by Ruifeng Shi et al

03-19-2020

Temporal Embeddings and Transformer Models for Narrative Text Understanding
by Vani K et al

03-19-2020

Brain tumor segmentation with missing modalities via latent multi-source correlation representation
by Tongxue Zhou et al

03-17-2020

Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
by Wojciech Samek et al

03-18-2020

Stable Neural Flows
by Stefano Massaroli et al

03-20-2020

Online Continual Learning on Sequences
by German I. Parisi et al

03-17-2020

Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
by Jerrin Thomas Panachakel et al

03-20-2020

Few-Shot Learning with Geometric Constraints
by Hong-Gyu Jung et al

03-19-2020

Metric learning: cross-entropy vs. pairwise losses
by Malik Boudiaf et al

03-17-2020

A Dynamic Reduction Network for Point Clouds
by Lindsey Gray et al

03-17-2020

Fair inference on error-prone outcomes
by Laura Boeschoten et al

03-17-2020

Deep Active Learning for Remote Sensing Object Detection
by Zhenshen Qu et al

03-18-2020

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
by Fei Ding et al

03-18-2020

Anchor & Transform: Learning Sparse Representations of Discrete Objects
by Paul Pu Liang et al

03-17-2020

Neural Mesh Refiner for 6-DoF Pose Estimation
by Di Wu et al

03-19-2020

Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
by Ali Balali et al

03-20-2020

Unsupervised Latent Space Translation Network
by Magda Friedjungová et al

03-17-2020

Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
by Yue Wang et al

03-18-2020

Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method
by Babak Barazandeh et al

03-18-2020

Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
by Abhishek Jana et al

03-19-2020

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
by Sung Whan Yoon et al

03-18-2020

Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
by E. A. Huerta et al

03-20-2020

Automatic Identification of Types of Alterations in Historical Manuscripts
by David Lassner et al

03-18-2020

Adjust Planning Strategies to Accommodate Reinforcement Learning Agents
by Xuerun Chen

03-17-2020

DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
by Jean Ollion et al

03-19-2020

Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
by Yi Liu et al

03-20-2020

Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation
by Misgina Tsighe Hagos

03-18-2020

Deep Quaternion Features for Privacy Protection
by Hao Zhang et al

03-19-2020

The value of text for small business default prediction: A deep learning approach
by Matthew Stevenson et al

03-19-2020

Exchangeable Input Representations for Reinforcement Learning
by John Mern et al

03-18-2020

Compressed Sensing with Invertible Generative Models and Dependent Noise
by Jay Whang et al

03-17-2020

Multi-modal Dense Video Captioning
by Vladimir Iashin et al

03-18-2020

The Future of Digital Health with Federated Learning
by Nicola Rieke et al

03-18-2020

Capsule GAN Using Capsule Network for Generator Architecture
by Kanako Marusaki et al

03-19-2020

Semi-analytic approximate stability selection for correlated data in generalized linear models
by Takashi Takahashi et al

03-20-2020

Visual Navigation Among Humans with Optimal Control as a Supervisor
by Varun Tolani et al

03-18-2020

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
by Chen Zhang et al

03-18-2020

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
by Yimeng Min et al

03-18-2020

TTTTTackling WinoGrande Schemas
by Sheng-Chieh Lin et al

03-19-2020

TF-Coder: Program Synthesis for Tensor Manipulations
by Kensen Shi et al

03-19-2020

Kidney segmentation using 3D U-Net localized with Expectation Maximization
by Omid Bazgir et al

03-19-2020

Learning to Fly via Deep Model-Based Reinforcement Learning
by Philip Becker-Ehmck et al

03-18-2020

An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
by Ya Lu et al

03-17-2020

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
by Hu Zhang et al

03-18-2020

Distributed and Democratized Learning: Philosophy and Research Challenges
by Minh N. H. Nguyen et al

03-20-2020

Sequential Bayesian Experimental Design for Implicit Models via Mutual Information
by Steven Kleinegesse et al

03-18-2020

Predicting Performance of Asynchronous Differentially-Private Learning
by Farhad Farokhi et al

03-20-2020

Learning to simulate and design for structural engineering
by Kai-Hung Chang et al

03-20-2020

DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
by Gunhee Nam et al

03-19-2020

Layerwise Knowledge Extraction from Deep Convolutional Networks
by Simon Odense et al

03-19-2020

Local Implicit Grid Representations for 3D Scenes
by Chiyu Max Jiang et al

03-18-2020

Sequential Forecasting of 100,000 Points
by Xinshuo Weng et al

03-20-2020

Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)
by Fan Zhang et al

03-20-2020

Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving
by Gabriel Kalweit et al

03-18-2020

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
by Ye Yuan et al

03-19-2020

Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
by Julian Lo et al

03-17-2020

Multi-action Offline Policy Learning with Bayesian Optimization
by Fang Cai et al

03-19-2020

Cross-Shape Graph Convolutional Networks
by Dmitry Petrov et al

03-17-2020

ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases
by Guang Chao Wang et al

03-20-2020

U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
by Nikhil Varma Keetha et al

03-20-2020

Deep Reinforcement Learning with Weighted Q-Learning
by Andrea Cini et al

03-18-2020

Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
by Qing Tian et al

03-17-2020

ParKCa: Causal Inference with Partially Known Causes
by Raquel Aoki et al

03-17-2020

Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
by Haiyang Xu et al

03-19-2020

Survey of Personalization Techniques for Federated Learning
by Viraj Kulkarni et al

03-17-2020

Self-Supervised Log Parsing
by Sasho Nedelkoski et al

03-17-2020

Improving predictions by nonlinear regression models from outlying input data
by William W. Hsieh

03-17-2020

A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
by Marc Brittain et al

03-19-2020

Uncertainty Estimation in Cancer Survival Prediction
by Hrushikesh Loya et al

03-17-2020

Human Activity Recognition from Wearable Sensor Data Using Self-Attention
by Saif Mahmud et al

03-17-2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network
by Yuhang Li et al

03-17-2020

Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
by Haya Brama et al

03-17-2020

Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization
by Jorge Oliveira et al

03-17-2020

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
by Eunju Cha et al

03-19-2020

Generating new concepts with hybrid neuro-symbolic models
by Reuben Feinman et al

03-19-2020

Affinity Graph Supervision for Visual Recognition
by Chu Wang et al

03-20-2020

Event-based Asynchronous Sparse Convolutional Networks
by Nico Messikommer et al

03-18-2020

CAFENet: Class-Agnostic Few-Shot Edge Detection Network
by Young-Hyun Park et al

03-18-2020

Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
by Jun Seo et al

03-20-2020

Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
by Rafael T. Sousa et al

03-17-2020

Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
by Xinshuo Weng et al

03-19-2020

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
by Jakaria Rabbi et al

03-17-2020

Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
by Daniel J. Fremont et al

03-18-2020

Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
by Yo-Seb Jeon et al

03-19-2020

Automated Formal Synthesis of Lyapunov Neural Networks
by Alessandro Abate et al

03-18-2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
by Zhonghao Wang et al

03-17-2020

Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
by Giulia Slavic et al

03-19-2020

RAB: Provable Robustness Against Backdoor Attacks
by Maurice Weber et al

03-19-2020

Bipartite Link Prediction based on Topological Features via 2-hop Path
by Jungwoon Shin

03-18-2020

Few-Shot Graph Classification with Model Agnostic Meta-Learning
by Ning Ma et al

03-18-2020

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted ℓ1ℓ1-ℓ1ℓ1 Minimization: Architecture Design and Generalization Analysis
by Huynh Van Luong et al

03-17-2020

Hyperplane Arrangements of Trained ConvNets Are Biased
by Matteo Gamba et al

03-20-2020

Privileged Pooling: Supervised attention-based pooling for compensating dataset bias
by Andres C. Rodriguez et al

03-19-2020

Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
by Xiong Lyu et al

03-18-2020

Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
by Andreas Robinson

03-17-2020

Adversarial Transferability in Wearable Sensor Systems
by Ramesh Kumar Sah et al

03-19-2020

Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems
by Nikolay Malkovsky et al

03-18-2020

Site2Vec: a reference frame invariant algorithm for vector embedding of protein-ligand binding sites
by Arnab Bhadra et al

03-19-2020

HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
by Deepak Singla et al

03-19-2020

Multilayer Dense Connections for Hierarchical Concept Classification
by Toufiq Parag et al

03-17-2020

Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
by Ziang Liu et al

03-18-2020

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
by Hanlin Zhu et al

03-19-2020

Faster SVM Training via Conjugate SMO
by Alberto Torres-Barrán et al

03-17-2020

Energy-Based Processes for Exchangeable Data
by Mengjiao Yang et al

03-19-2020

Conditional Gaussian Distribution Learning for Open Set Recognition
by Xin Sun et al

03-18-2020

Malicious Experts versus the multiplicative weights algorithm in online prediction
by Erhan Bayraktar et al

03-17-2020

The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify
by David Holtz et al

03-18-2020

Bootstrap Bias Corrected Cross Validation applied to Super Learning
by Krzysztof Mnich et al

03-17-2020

A comprehensive study on the prediction reliability of graph neural networks for virtual screening
by Soojung Yang et al

03-20-2020

Localized sketching for matrix multiplication and ridge regression
by Rakshith S Srinivasa et al

03-20-2020

Quantum noise protects quantum classifiers against adversaries
by Yuxuan Du et al

03-17-2020

Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
by Yassir Jedra et al

03-17-2020

The Implicit Regularization of Stochastic Gradient Flow for Least Squares
by Alnur Ali et al

03-17-2020

The Value of Nullspace Tuning Using Partial Label Information
by Colin B. Hansen et al

03-20-2020

L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
by Mai Nishimura et al

03-17-2020

3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
by Wei Hu et al

03-18-2020

Block Layer Decomposition schemes for training Deep Neural Networks
by Laura Palagi et al

03-17-2020

Partial Multi-label Learning with Label and Feature Collaboration
by Tingting Yu et al

03-19-2020

Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders
by Luis A. Pérez Rey

03-20-2020

One Neuron to Fool Them All
by Anshuman Suri et al

03-17-2020

Directions for Explainable Knowledge-Enabled Systems
by Shruthi Chari et al

03-18-2020

Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits
by Michael Chesser et al

03-17-2020

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
by Kun Chen et al

03-18-2020

A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
by Xinyi Guo et al

03-17-2020

Assessing Robustness to Noise: Low-Cost Head CT Triage
by Sarah M. Hooper et al

03-19-2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations
by Huan Zhang et al

03-19-2020

Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
by Amin Ghiasi et al

03-18-2020

Logistic-Regression with peer-group effects via inference in higher order Ising models
by Constantinos Daskalakis et al

03-17-2020

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
by Yong Zeng et al

03-17-2020

Generating Electronic Health Records with Multiple Data Types and Constraints
by Chao Yan et al

03-17-2020

Verification of Neural Networks: Enhancing Scalability through Pruning
by Dario Guidotti et al

03-18-2020

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\`ub\a
by David Ifeoluwa Adelani et al

03-20-2020

Improving Embedding Extraction for Speaker Verification with Ladder Network
by Fei Tao et al

03-20-2020

Sample Complexity Result for Multi-category Classifiers of Bounded Variation
by Khadija Musayeva

03-18-2020

Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
by Christian Berghoff et al

03-20-2020

A unified framework for spectral clustering in sparse graphs
by Lorenzo Dall'Amico et al

03-17-2020

Foundations of Explainable Knowledge-Enabled Systems
by Shruthi Chari et al

03-18-2020

Efficient improper learning for online logistic regression
by Rémi Jézéquel et al

03-17-2020

Nonlinear system identification with regularized Tensor Network B-splines
by Ridvan Karagoz et al

03-17-2020

Real-World Considerations for Deep Learning in Wireless Signal Identification Based on Spectral Correlation Function
by Kürşat Tekbıyık et al

03-18-2020

Improving Adversarial Robustness Through Progressive Hardening
by Chawin Sitawarin et al

03-17-2020

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
by Yaniv Yacoby et al

03-18-2020

A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
by Jerrin Thomas Panachakel et al

03-19-2020

Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
by Sihua Wang et al

03-18-2020

SurvLIME: A method for explaining machine learning survival models
by Maxim S. Kovalev et al

03-18-2020

Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis
by Teemu Lehto et al

03-19-2020

A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
by Hossein S. Ghadikolaei et al

03-17-2020

A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs
by Radu Ioan Bot et al

03-19-2020

Voice and accompaniment separation in music using self-attention convolutional neural network
by Yuzhou Liu et al

03-18-2020

Fault Handling in Large Water Networks with Online Dictionary Learning
by Paul Irofti et al

03-20-2020

On the performance of different excitation-residual blocks for Acoustic Scene Classification
by Javier Naranjo-Alcazar et al

03-17-2020

Teacher-Student Domain Adaptation for Biosensor Models
by Lawrence G. Phillips et al

03-19-2020

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
by Martina Lippi et al

03-17-2020

Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs
by Andreas Venzke et al

03-17-2020

Linear Regression without Correspondences via Concave Minimization
by Liangzu Peng et al

03-18-2020

Survey of Privacy-Preserving Collaborative Filtering
by Islam Elnabarawy et al

03-20-2020

Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots
by Wenda Zhao et al

03-20-2020

Evolutionary Multi-Objective Optimization Framework for Mining Association Rules
by Shaik Tanveer Ul Huq et al

03-17-2020

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
by Xin Huang et al

03-18-2020

Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
by Yuan Gong et al

03-17-2020

Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks
by Jianan Yao et al

03-18-2020

NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent
by Ali Anaissi et al

03-17-2020

Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
by Wolfgang Erb

03-17-2020

Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach
by Akshay Subramanian et al

03-19-2020

Hybrid Model For Intrusion Detection Systems
by Baha Rababah et al

 
Craig Smith