Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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30,541 to 30,600 of 32,694

Learning Data Augmentation Strategies for Object Detection
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi +3
cs.CVcs.LGarXiv:1906.11172v12019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal, Alex Krizhevsky, Abhijit Ogale
cs.ROcs.CVcs.LGarXiv:1812.03079v12018
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang, Xindi Wu, Zeyi Huang +1
cs.CVcs.LGarXiv:1905.13545v32019
Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie +1
cs.CVcs.AIcs.LGarXiv:1904.11491v12019
Robust Anomaly Detection in Images using Adversarial Autoencoders
Laura Beggel, Michael Pfeiffer, Bernd Bischl
cs.LGcs.CVstat.MLarXiv:1901.06355v12019
Learning Individual Styles of Conversational Gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi +3
cs.CVcs.LGeess.ASarXiv:1906.04160v12019
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra +4
cs.LGcs.CLcs.PLarXiv:1906.04908v12019
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren, Bixiong Xu, Yujing Wang +7
cs.LGstat.MLarXiv:1906.03821v12019
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang, Meihui Zhang, Gang Chen +3
cs.DBcs.DCcs.LGarXiv:1906.08986v22019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
cs.LGstat.MLarXiv:1905.13294v32019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
stat.MLcs.AIcs.LGarXiv:1903.12394v32019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
cs.CVcs.AIcs.LGarXiv:1904.11740v12019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta +7
cs.CVcs.LGarXiv:1905.12886v22019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, Michela Paganini +1
stat.MLcs.LGcs.NEarXiv:1906.02773v22019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
cs.LGcs.HCeess.SParXiv:1905.07039v12019
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh, Geon Heo, Steven Euijong Whang
cs.LGstat.MLarXiv:1811.03402v22018
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
cs.AIcs.CYcs.LGarXiv:1903.03425v22019
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan +5
cs.ROcs.AIcs.LGarXiv:1810.10191v22018
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
cs.CVcs.LGstat.MLarXiv:1905.05393v12019
Priority-based Parameter Propagation for Distributed DNN Training
Anand Jayarajan, Jinliang Wei, Garth Gibson +2
cs.DCcs.LGarXiv:1905.03960v12019
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
cs.LGeess.SYstat.MLarXiv:1903.03712v22019
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
Hadi Abdullah, Washington Garcia, Christian Peeters +3
cs.CRcs.LGcs.SDarXiv:1904.05734v12019
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke +1
cs.LGstat.MLarXiv:1905.12784v22019
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang +1
cs.CVcs.LGarXiv:1904.03582v12019
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
cs.LGstat.MLarXiv:1810.09502v32018
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
cs.CLcs.LGarXiv:1904.02099v32019
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
cs.CLcs.LGstat.MLarXiv:1812.06158v12018
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
cs.CVcs.CRcs.LGarXiv:1904.00759v42019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang, Yao Lu, Linqing Liu +3
cs.CLcs.LGarXiv:1903.12136v12019
Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo +2
cs.LGcs.AIcs.ROarXiv:1904.04762v22019
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang, Jiawei Wu, Junkun Chen +3
cs.CVcs.CLcs.LGarXiv:1904.03493v32019
Automatic diagnosis of the 12-lead ECG using a deep neural network
Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão +9
cs.LGeess.SPstat.MLarXiv:1904.01949v22019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi, Shayan shekarforoush, S. Arvind krishna +6
cs.LGstat.MLarXiv:1903.04233v12019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang, Feng Gao, Baoxiong Jia +2
cs.CVcs.AIcs.LGarXiv:1903.02741v12019
Extended Isolation Forest
Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner
cs.LGastro-ph.IMstat.MLarXiv:1811.02141v32018
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao +4
cs.CVcs.AIcs.LGarXiv:1903.01534v12019
Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
cs.IRcs.CLcs.LGarXiv:1901.04085v52019
Exploration by Random Network Distillation
Yuri Burda, Harrison Edwards, Amos Storkey +1
cs.LGcs.AIstat.MLarXiv:1810.12894v12018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
cs.CVcs.LGeess.IVarXiv:1807.10165v12018
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Stephen Tian, Frederik Ebert, Dinesh Jayaraman +4
cs.ROcs.AIcs.CVarXiv:1903.04128v12019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta, Marta R. Costa-jussà, Noe Casas
cs.CLcs.LGarXiv:1904.08783v12019
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow +2
cs.LGstat.MLarXiv:1807.06732v22018
Real Image Denoising with Feature Attention
Saeed Anwar, Nick Barnes
cs.CVcs.LGarXiv:1904.07396v22019
A spelling correction model for end-to-end speech recognition
Jinxi Guo, Tara N. Sainath, Ron J. Weiss
eess.AScs.AIcs.CLarXiv:1902.07178v12019
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski +5
cs.LGcs.CLstat.MLarXiv:1902.00751v22019
Generative Models from the perspective of Continual Learning
Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz +2
cs.LGcs.AIcs.CVarXiv:1812.09111v12018
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto +2
eess.AScs.CLcs.LGarXiv:1904.03670v22019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
cs.CVcs.AIcs.LGarXiv:1901.07031v12019
Diverse mini-batch Active Learning
Fedor Zhdanov
cs.LGstat.MLarXiv:1901.05954v12019
Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
stat.MLcs.CVcs.LGarXiv:1901.06656v22019
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang +4
cs.CVcs.LGarXiv:1807.11626v32018
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
Guangxu Zhu, Dongzhu Liu, Yuqing Du +3
cs.ITcs.LGcs.NIarXiv:1809.00343v12018
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng +3
cs.LGcs.DCcs.PFarXiv:1903.05898v32019
Summaries:한국어
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar +3
cs.CVcs.LGstat.MLarXiv:1811.08737v12018
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
cs.LGstat.MLarXiv:1903.02428v32019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Runtao Liu, Chenxi Liu, Yutong Bai +1
cs.CVcs.CLcs.LGarXiv:1901.00850v22019
Multiresolution Tree Networks for 3D Point Cloud Processing
Matheus Gadelha, Rui Wang, Subhransu Maji
cs.CVcs.GRcs.LGarXiv:1807.03520v22018
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
cs.CLcs.LGcs.NEarXiv:1812.08951v22018
Neural network models and deep learning - a primer for biologists
Nikolaus Kriegeskorte, Tal Golan
q-bio.NCcs.LGcs.NEarXiv:1902.04704v22019

Machine Learning

Learning Data Augmentation Strategies for Object Detection

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

Local Relation Networks for Image Recognition

Robust Anomaly Detection in Images using Adversarial Autoencoders

Learning Individual Styles of Conversational Gesture

SPoC: Search-based Pseudocode to Code

How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

Time-Series Anomaly Detection Service at Microsoft

Database Meets Deep Learning: Challenges and Opportunities

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing

A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective

The Ethics of AI Ethics -- An Evaluation of Guidelines

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

Priority-based Parameter Propagation for Distributed DNN Training

Adaptive Power System Emergency Control using Deep Reinforcement Learning

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

Intrinsic dimension of data representations in deep neural networks

Multi-Label Image Recognition with Graph Convolutional Networks

How to train your MAML

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Few-shot classification in Named Entity Recognition Task

Adversarial camera stickers: A physical camera-based attack on deep learning systems

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

Active Domain Randomization

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

Automatic diagnosis of the 12-lead ECG using a deep neural network

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Extended Isolation Forest

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Passage Re-ranking with BERT

Exploration by Random Network Distillation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Manipulation by Feel: Touch-Based Control with Deep Predictive Models

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

Motivating the Rules of the Game for Adversarial Example Research

Real Image Denoising with Feature Attention

A spelling correction model for end-to-end speech recognition

Parameter-Efficient Transfer Learning for NLP

Generative Models from the perspective of Continual Learning

Speech Model Pre-training for End-to-End Spoken Language Understanding

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Diverse mini-batch Active Learning

Training Neural Networks with Local Error Signals

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors

SpotTune: Transfer Learning through Adaptive Fine-tuning

Fast Graph Representation Learning with PyTorch Geometric

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Multiresolution Tree Networks for 3D Point Cloud Processing

Analysis Methods in Neural Language Processing: A Survey

Neural network models and deep learning - a primer for biologists