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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30,661 to 30,720 of 32,934

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
cs.LGstat.MLarXiv:2002.04803v22020
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Weihao Yu, Zihang Jiang, Yanfei Dong +1
cs.CLcs.AIcs.LGarXiv:2002.04326v32020
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang +13
q-bio.QMcs.CVcs.LGarXiv:1909.06326v12019
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang +3
cs.IRcs.LGarXiv:2001.04830v12019
Convolutional Networks with Dense Connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss +2
cs.LGcs.CVstat.MLarXiv:2001.02394v12020
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal +4
cs.CVcs.LGarXiv:2004.02025v32020
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
stat.MLcond-mat.dis-nncs.LGarXiv:1806.01316v32018
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
Osman Semih Kayhan, Jan C. van Gemert
cs.CVcs.LGeess.IVarXiv:2003.07064v22020
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner +3
cs.ROcs.AIcs.LGarXiv:1906.08880v22019
Towards Unified INT8 Training for Convolutional Neural Network
Feng Zhu, Ruihao Gong, Fengwei Yu +5
cs.LGcs.CVarXiv:1912.12607v12019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
eess.IVcs.CVcs.LGarXiv:1912.11027v22019
NAS evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci
cs.LGcs.CVstat.MLarXiv:1912.12522v32019
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti, Richard Bowden, Yaochu Jin +2
cs.LGcs.CVeess.SYarXiv:1912.10773v12019
Continuous speech separation: dataset and analysis
Zhuo Chen, Takuya Yoshioka, Liang Lu +6
cs.SDcs.LGeess.ASarXiv:2001.11482v32020
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
cs.CYcs.AIcs.LGarXiv:2003.11336v32020
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi, Danqi Chen, Yinhan Liu +3
cs.CLcs.LGarXiv:1907.10529v32019
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
cs.LGstat.MLarXiv:1906.00910v22019
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu, Xudong Sun, Cho-Ying Wu +2
cs.CVcs.LGarXiv:1912.02984v52019
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov, Zornitsa Kozareva, Alan Ritter +3
cs.CLcs.IRcs.LGarXiv:1912.06806v12019
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor, Aren Jansen, Ronnie Maor +7
eess.AScs.LGcs.SDarXiv:2002.12764v62020
Overfitting in adversarially robust deep learning
Leslie Rice, Eric Wong, J. Zico Kolter
cs.LGstat.MLarXiv:2002.11569v22020
Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review
Shenda Hong, Yuxi Zhou, Junyuan Shang +2
eess.SPcs.CVcs.LGarXiv:2001.01550v32019
CLOTH3D: Clothed 3D Humans
Hugo Bertiche, Meysam Madadi, Sergio Escalera
cs.CVcs.LGeess.IVarXiv:1912.02792v22019
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration
Hasan Genc, Seah Kim, Alon Amid +16
cs.DCcs.ARcs.LGarXiv:1911.09925v32019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019
Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu
cs.LGq-fin.CPstat.MLarXiv:1911.13288v12019
Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos +3
cs.LGcs.AIstat.MLarXiv:1804.03235v22018
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong, Lei Chen, Michael Bronstein +1
cs.CVcs.LGarXiv:1911.05856v12019
Machine Learning for Precipitation Nowcasting from Radar Images
Shreya Agrawal, Luke Barrington, Carla Bromberg +3
cs.CVcs.LGstat.MLarXiv:1912.12132v12019
Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel, Sławomir Mucha +3
cs.LGphysics.comp-phstat.MLarXiv:2002.08264v12020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol, Peter Flach
cs.LGcs.AIstat.MLarXiv:2001.09734v12020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
Szilárd Aradi
cs.LGeess.SYstat.MLarXiv:2001.11231v12020
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau +4
cs.CLcs.IRcs.LGarXiv:1911.00359v22019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang, Jiannong Cao, Philip S. Yu
cs.LGstat.MLarXiv:1906.04928v22019
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi +4
cs.LGcs.CVcs.NEarXiv:2002.09571v22020
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:1910.12574v12019
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
eess.AScs.LGcs.SDarXiv:1910.11480v22019
Leveraging BERT for Extractive Text Summarization on Lectures
Derek Miller
cs.CLcs.LGcs.SDarXiv:1906.04165v12019
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan +6
cs.CLcs.LGarXiv:2002.01808v52020
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta, Carole-Jean Wu, Xiaodong Wang +12
cs.DCcs.LGarXiv:1906.03109v42019
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Wenyang Hu, Xiaocong Cai, Jun Hou +2
cs.CVcs.LGeess.IVarXiv:2002.01276v12020
DwNet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao +1
cs.CVcs.LGarXiv:1910.09139v12019
SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal, Preslav Nakov, Alan Ritter +1
cs.CLcs.IRcs.LGarXiv:1912.02990v12019
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer
cs.LGstat.MLarXiv:2002.02730v22020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
cs.CVcs.LGeess.IVarXiv:2001.01469v12020
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
Vedika Agarwal, Rakshith Shetty, Mario Fritz
cs.CVcs.CLcs.LGarXiv:1912.07538v32019
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu, Shu-wen Yang, Po-Han Chi +2
eess.AScs.CLcs.LGarXiv:1910.12638v22019
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8
cs.LGstat.MLarXiv:1910.00762v12019
A scalable noisy speech dataset and online subjective test framework
Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool +3
cs.SDcs.LGeess.ASarXiv:1909.08050v12019
Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin +1
cs.IRcs.LGarXiv:1904.08375v22019
i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon
cs.LGcs.CVstat.MLarXiv:1802.07088v12018
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Chongwen Huang, Sha Hu, George C. Alexandropoulos +5
cs.ITcs.LGarXiv:1911.12296v32019
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman +3
cs.CVcs.LGarXiv:2001.03152v22020
Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models
Mengran Li, Bo Li, Chengyang Zhang +3
cs.LGq-bio.QMarXiv:2609.27234v12026
State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1
cs.AIcs.LGstat.MLarXiv:1802.04181v22018
FACE: Feasible and Actionable Counterfactual Explanations
Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez +2
cs.LGstat.MLarXiv:1909.09369v22019
Sparse Graph Attention Networks
Yang Ye, Shihao Ji
cs.LGstat.MLarXiv:1912.00552v22019
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo +1
cs.CVcs.LGarXiv:1912.01865v22019

Machine Learning

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Pre-training Tasks for Embedding-based Large-scale Retrieval

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning

Sequential Recommender Systems: Challenges, Progress and Prospects

Convolutional Networks with Dense Connectivity

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

Towards Unified INT8 Training for Convolutional Neural Network

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

NAS evaluation is frustratingly hard

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Continuous speech separation: dataset and analysis

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Learning Representations by Maximizing Mutual Information Across Views

Grid-GCN for Fast and Scalable Point Cloud Learning

SemEval-2013 Task 2: Sentiment Analysis in Twitter

Towards Learning a Universal Non-Semantic Representation of Speech

Overfitting in adversarially robust deep learning

Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review

CLOTH3D: Clothed 3D Humans

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

Large scale distributed neural network training through online distillation

SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator

Machine Learning for Precipitation Nowcasting from Radar Images

Molecule Attention Transformer

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Deep Learning for Spatio-Temporal Data Mining: A Survey

Learning to Continually Learn

A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

Leveraging BERT for Extractive Text Summarization on Lectures

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition

DwNet: Dense warp-based network for pose-guided human video generation

SemEval-2014 Task 9: Sentiment Analysis in Twitter

Machine Unlearning: Linear Filtration for Logit-based Classifiers

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

Accelerating Deep Learning by Focusing on the Biggest Losers

A scalable noisy speech dataset and online subjective test framework

Document Expansion by Query Prediction

i-RevNet: Deep Invertible Networks

Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models

State Representation Learning for Control: An Overview

FACE: Feasible and Actionable Counterfactual Explanations

Sparse Graph Attention Networks

A Step Toward Quantifying Independently Reproducible Machine Learning Research

StarGAN v2: Diverse Image Synthesis for Multiple Domains