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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32,401 to 32,460 of 32,936

Adversarial Machine Learning -- Industry Perspectives
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert +5
cs.CYcs.CRcs.LGarXiv:2002.05646v32020
P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrieval
Zhongli Wu, Zhuangzhi Gao, He Zhao +8
cs.LGcs.AIarXiv:2608.14656v12026
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang, Bingchen Qian, Zitao Li +7
cs.LGarXiv:2309.00363v12023
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
Yeqi Liu, Chuanyang Gong, Ling Yang +1
cs.LGstat.MLarXiv:1904.07464v12019
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
Dan Nguyen, Xun Jia, David Sher +4
physics.med-phcs.CVcs.LGarXiv:1805.10397v32018
Fast and Accurate Time Series Classification with WEASEL
Patrick Schäfer, Ulf Leser
cs.DScs.LGstat.MLarXiv:1701.07681v12017
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
q-bio.NCcs.LGcs.NEarXiv:1706.04698v22017
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
cs.CLcs.LGarXiv:2009.13295v12020
Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study
Hadeer Elashhab, Sai Srijan Papineni, Marvin Dorn +2
cs.LGarXiv:2608.17091v12026
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto, Eldad Haber
cs.LGmath.OCstat.MLarXiv:1804.04272v22018
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden +3
cs.LGcs.AIcs.CVarXiv:1805.11592v22018
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard, Sebastian Ruder
cs.CLcs.LGstat.MLarXiv:1801.06146v52018
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung, Varun Nair, Colin Raffel
cs.LGarXiv:2111.09839v12021
Riemannian Score-Based Generative Modelling
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson +3
cs.LGmath.PRstat.MLarXiv:2202.02763v32022
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock, Ghulam Rasool
cs.CVcs.LGarXiv:2403.02469v22024
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja, Ben Moran, Guy Lever +25
cs.ROcs.AIcs.LGarXiv:2304.13653v22023
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi +2
cs.LGcs.AIcs.CLarXiv:1706.07230v22017
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.MLcs.LGarXiv:2112.07068v42021
Pre-Training with Whole Word Masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu +2
cs.CLcs.LGarXiv:1906.08101v32019
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017
Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
cs.CLcs.AIcs.LGarXiv:2311.08401v12023
Monash Time Series Forecasting Archive
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb +2
cs.LGstat.MLarXiv:2105.06643v12021
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Levent Sagun, Leon Bottou, Yann LeCun
cs.LGarXiv:1611.07476v22016
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner +1
cs.LGcs.AIstat.MLarXiv:1811.11880v12018
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv, Jian Liang, Shuang Li +4
cs.LGcs.CVarXiv:2203.14237v12022
Model-Free Episodic Control
Charles Blundell, Benigno Uria, Alexander Pritzel +6
stat.MLcs.LGq-bio.NCarXiv:1606.04460v12016
Does Object Recognition Work for Everyone?
Terrance DeVries, Ishan Misra, Changhan Wang +1
cs.CVcs.LGarXiv:1906.02659v22019
Augmentor: An Image Augmentation Library for Machine Learning
Marcus D. Bloice, Christof Stocker, Andreas Holzinger
cs.CVcs.LGstat.MLarXiv:1708.04680v12017
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
Chi-Lam Cheang, Guangzeng Chen, Ya Jing +9
cs.ROcs.CVcs.LGarXiv:2410.06158v12024
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu, Rui Wang
cs.CLcs.AIcs.LGarXiv:1806.00258v12018
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye +3
cs.CVcs.LGarXiv:2203.06953v12022
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
Jun Inoue, Yoriyuki Yamagata, Yuqi Chen +2
cs.LGarXiv:1709.05342v22017
FP8 Formats for Deep Learning
Paulius Micikevicius, Dusan Stosic, Neil Burgess +12
cs.LGarXiv:2209.05433v22022
Learning for Safety-Critical Control with Control Barrier Functions
Andrew Taylor, Andrew Singletary, Yisong Yue +1
eess.SYcs.LGarXiv:1912.10099v12019
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
cs.CRcs.LGstat.MLarXiv:2004.05289v12020
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich
cs.SDcs.LGstat.MLarXiv:1904.08990v12019
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
J. G. M. Esgario, R. A. Krohling, J. A. Ventura
cs.CVcs.LGarXiv:1907.11561v12019
Adversarial Manipulation of Deep Representations
Sara Sabour, Yanshuai Cao, Fartash Faghri +1
cs.CVcs.LGcs.NEarXiv:1511.05122v92015
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin +2
eess.AScs.AIcs.LGarXiv:2208.12266v22022
Evaluating the Moral Beliefs Encoded in LLMs
Nino Scherrer, Claudia Shi, Amir Feder +1
cs.CLcs.AIcs.CYarXiv:2307.14324v12023
OLMoE: Open Mixture-of-Experts Language Models
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld +21
cs.CLcs.AIcs.LGarXiv:2409.02060v22024
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre +4
cs.CLcs.AIcs.LGarXiv:1603.06807v22016
AI Safety Gridworlds
Jan Leike, Miljan Martic, Victoria Krakovna +5
cs.LGcs.AIarXiv:1711.09883v22017
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1905.10674v42019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li, Qianru Sun, Yaoyao Liu +4
cs.CVcs.LGstat.MLarXiv:1906.00562v22019
Portuguese Named Entity Recognition using BERT-CRF
Fábio Souza, Rodrigo Nogueira, Roberto Lotufo
cs.CLcs.IRcs.LGarXiv:1909.10649v22019
Probability-Preserving Transformer for the Time-Dependent Schrödinger Equation
Mushtaq Ali, Muzamil Tariq, Niaz Ali Khan
cs.LGmath-phquant-pharXiv:2608.15112v12026
Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments
Haoyi Jia, Sagar Addepalli, Julia Gonski
cs.LGhep-exhep-pharXiv:2608.13652v12026
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang +2
quant-phcs.LGstat.MLarXiv:2303.09491v12023
Layerwise learning for quantum neural networks
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni +2
quant-phcs.LGarXiv:2006.14904v12020
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
Kun Xu, Yansong Feng, Songfang Huang +1
cs.CLcs.LGarXiv:1506.07650v12015
Learning Visual Commonsense for Robust Scene Graph Generation
Alireza Zareian, Zhecan Wang, Haoxuan You +1
cs.CVcs.LGarXiv:2006.09623v22020
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
Wei Han, Zhengdong Zhang, Yu Zhang +6
eess.AScs.CLcs.LGarXiv:2005.03191v32020
Algorithmic Fairness
Dana Pessach, Erez Shmueli
cs.CYcs.AIcs.LGarXiv:2001.09784v12020
Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg +1
cs.CVcs.LGstat.MLarXiv:1902.07208v32019
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, Louis-Philippe Morency
cs.LGarXiv:1705.09406v22017
STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren +3
cs.SDcs.CLcs.CRarXiv:1904.05576v12019
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen +3
cs.IRcs.AIcs.LGarXiv:2103.01696v12021
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong +2
cs.LGcs.CVstat.MLarXiv:2010.00467v32020
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo Lopes, Stefano Fenu, Thad Starner
cs.LGarXiv:1710.07535v22017

Machine Learning

Adversarial Machine Learning -- Industry Perspectives

P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrieval

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction

Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture

Fast and Accurate Time Series Classification with WEASEL

Gradient Descent for Spiking Neural Networks

A Diagnostic Study of Explainability Techniques for Text Classification

Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study

Deep Neural Networks Motivated by Partial Differential Equations

Playing hard exploration games by watching YouTube

Universal Language Model Fine-tuning for Text Classification

Training Neural Networks with Fixed Sparse Masks

Riemannian Score-Based Generative Modelling

Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Gated-Attention Architectures for Task-Oriented Language Grounding

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Pre-Training with Whole Word Masking for Chinese BERT

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Fine-tuning Language Models for Factuality

Monash Time Series Forecasting Archive

Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Predicting the Computational Cost of Deep Learning Models

Causality Inspired Representation Learning for Domain Generalization

Model-Free Episodic Control

Does Object Recognition Work for Everyone?

Augmentor: An Image Augmentation Library for Machine Learning

GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

A Survey of Domain Adaptation for Neural Machine Translation

Forward Compatible Few-Shot Class-Incremental Learning

Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

FP8 Formats for Deep Learning

Learning for Safety-Critical Control with Control Barrier Functions

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress

Adversarial Manipulation of Deep Representations

Decoding speech perception from non-invasive brain recordings

Evaluating the Moral Beliefs Encoded in LLMs

OLMoE: Open Mixture-of-Experts Language Models

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

AI Safety Gridworlds

Compositional Fairness Constraints for Graph Embeddings

Learning to Self-Train for Semi-Supervised Few-Shot Classification

Portuguese Named Entity Recognition using BERT-CRF

Probability-Preserving Transformer for the Time-Dependent Schrödinger Equation

Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments

Challenges and Opportunities in Quantum Machine Learning

Layerwise learning for quantum neural networks

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

Learning Visual Commonsense for Robust Scene Graph Generation

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Algorithmic Fairness

Transfusion: Understanding Transfer Learning for Medical Imaging

Multimodal Machine Learning: A Survey and Taxonomy

STC Antispoofing Systems for the ASVspoof2019 Challenge

Cross-Domain Recommendation: Challenges, Progress, and Prospects

Bag of Tricks for Adversarial Training

Data-Free Knowledge Distillation for Deep Neural Networks