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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11,341 to 11,400 of 20,063

Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
Yansong Qu, Zihao Sheng, Zilin Huang +6
cs.AIcs.LGarXiv:2602.10458v12026
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
Chen Tang, Ben Abbatematteo, Jiaheng Hu +3
cs.ROcs.LGarXiv:2408.03539v32024
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Peter Hase, Mohit Bansal, Been Kim +1
cs.LGcs.AIcs.CLarXiv:2301.04213v22023
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi +2
cs.LGcs.CEmath.NAarXiv:2110.15832v22021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53
cs.CLcs.AIcs.LGarXiv:2102.01672v32021
A Survey on Ensemble Learning under the Era of Deep Learning
Yongquan Yang, Haijun Lv, Ning Chen
cs.LGcs.AIarXiv:2101.08387v62021
Variational Quantum Algorithms
M. Cerezo, Andrew Arrasmith, Ryan Babbush +8
quant-phcs.LGstat.MLarXiv:2012.09265v22020
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo, G. Kanwar, P. E. Shanahan
hep-latcond-mat.dis-nncond-mat.stat-mecharXiv:1904.12072v32019
Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates
Xiaoying Zhuang, Hongwei Guo, Naif Alajlan +1
cs.LGmath.NAarXiv:2010.05698v12020
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin, David Rolnick
stat.MLcs.LGarXiv:1803.01719v32018
Ethical Machine Learning in Health Care
Irene Y. Chen, Emma Pierson, Sherri Rose +3
cs.CYcs.AIcs.LGarXiv:2009.10576v32020
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu, Joseph Homer Saleh
cs.LGstat.MLarXiv:2008.08221v12020
Machine Learning for Fluid Mechanics
Steven Brunton, Bernd Noack, Petros Koumoutsakos
physics.flu-dyncs.LGstat.MLarXiv:1905.11075v32019
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
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer, Ledell Wu, Jiajun Shen +4
cs.LGcs.AIcs.DCarXiv:1903.12287v32019
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
Incremental Knowledge Base Construction Using DeepDive
Jaeho Shin, Sen Wu, Feiran Wang +3
cs.DBcs.CLcs.LGarXiv:1502.00731v42015
Experimental Quantum Generative Adversarial Networks for Image Generation
He-Liang Huang, Yuxuan Du, Ming Gong +18
quant-phcs.CVcs.LGarXiv:2010.06201v32020
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu, Xuxin Cheng, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2210.10044v12022
CURA: Certified Runtime Alarms for Computer-Use Agents
Divake Kumar, Sina Tayebati, Devashri Naik +5
cs.AIcs.CVcs.LGarXiv:2608.27808v12026
Network Sampling: From Static to Streaming Graphs
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella
cs.SIcs.DScs.LGarXiv:1211.3412v12012
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu +2
cs.CVcs.CLcs.LGarXiv:2305.11846v12023
Local Binary Convolutional Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
cs.LGcs.CVarXiv:1608.06049v22016
Asymmetric Deep Supervised Hashing
Qing-Yuan Jiang, Wu-Jun Li
cs.LGstat.MLarXiv:1707.08325v12017
Theory of overparametrization in quantum neural networks
Martin Larocca, Nathan Ju, Diego García-Martín +2
quant-phcs.LGstat.MLarXiv:2109.11676v12021
RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
Gyuhyeong Kim, Hyojung Gwon, Jeonghyeon Kim +2
cs.AIcs.LGarXiv:2608.27831v12026
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen, Julian Salazar
cs.CLcs.LGstat.MLarXiv:1910.05895v22019
A Robust Learning Approach to Domain Adaptive Object Detection
Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar +1
cs.LGcs.CVstat.MLarXiv:1904.02361v32019
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu, Haotian Ye, Lei Xing +1
cs.LGcs.AIcs.CLarXiv:2311.06668v32023
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair +3
cs.LGstat.MLarXiv:1906.08226v62019
On the number of response regions of deep feed forward networks with piece-wise linear activations
Razvan Pascanu, Guido Montufar, Yoshua Bengio
cs.LGcs.NEarXiv:1312.6098v52013
Staleness-aware Async-SGD for Distributed Deep Learning
Wei Zhang, Suyog Gupta, Xiangru Lian +1
cs.LGarXiv:1511.05950v52015
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo, Keqiang Yan, Shuiwang Ji
cs.LGcs.AIarXiv:2102.01189v22021
Fast and Accurate Time Series Classification with WEASEL
Patrick Schäfer, Ulf Leser
cs.DScs.LGstat.MLarXiv:1701.07681v12017
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi, Dohyung Park, Yudong Chen +1
cs.ITcs.LGmath.STarXiv:1605.07784v22016
The Privacy Blanket of the Shuffle Model
Borja Balle, James Bell, Adria Gascon +1
cs.LGcs.CRstat.MLarXiv:1903.02837v22019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Yabo Dan, Yong Zhao, Xiang Li +3
cs.LGcs.NEstat.MLarXiv:1911.05020v12019
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami, Minwoo Lee
cs.LGcs.CVarXiv:2203.04291v12022
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam, Peter Henderson, Maziar Gomrokchi +1
cs.LGarXiv:1708.04133v12017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel, Matthias Bethge
cs.LGcs.CRcs.CVarXiv:1707.04131v32017
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes
David Salinas, Michael Bohlke-Schneider, Laurent Callot +2
cs.LGstat.MLarXiv:1910.03002v22019
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Dave Zhenyu Chen, Ali Gholami, Matthias Nießner +1
cs.CVcs.LGeess.IVarXiv:2012.02206v12020
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu +3
cs.CLcs.CRcs.LGarXiv:2310.10844v12023
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap +7
cs.LGcs.ROarXiv:1704.03073v12017
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
q-bio.NCcs.LGcs.NEarXiv:1706.04698v22017
DeepFake Detection Based on the Discrepancy Between the Face and its Context
Yuval Nirkin, Lior Wolf, Yosi Keller +1
cs.CVcs.LGarXiv:2008.12262v12020
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan +3
cs.LGstat.MLarXiv:1907.08322v22019
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing
Liang Wang, Kezhi Wang, Cunhua Pan +3
eess.SPcs.LGcs.NIarXiv:1911.03887v22019
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng +1
cs.CVcs.AIcs.LGarXiv:2203.08382v42022
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann, Yash Sharma, Steffen Schneider +2
cs.LGcs.CVarXiv:2102.08850v42021
Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio +2
cs.LGstat.MLarXiv:1703.04782v32017
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
cs.LGarXiv:2303.10462v12023
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong, Jaehong Yoon, Eunho Yang +1
cs.LGstat.MLarXiv:2006.12097v32020
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong +2
cs.LGcs.CLcs.LOarXiv:1908.06177v22019
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
Tobias Czempiel, Magdalini Paschali, Matthias Keicher +4
eess.IVcs.CVcs.LGarXiv:2003.10751v12020
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu, Yu Zheng, Daokun Zhang +3
cs.LGarXiv:2201.06367v12022
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang +4
cs.LGcs.CLcs.DCarXiv:2309.14509v22023
Selective Question Answering under Domain Shift
Amita Kamath, Robin Jia, Percy Liang
cs.CLcs.LGarXiv:2006.09462v12020
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
cs.CLcs.LGarXiv:2009.13295v12020
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022

Machine Learning

Found-RL: foundation model-enhanced reinforcement learning for autonomous driving

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

A Survey on Ensemble Learning under the Era of Deep Learning

Variational Quantum Algorithms

Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates

How to Start Training: The Effect of Initialization and Architecture

Ethical Machine Learning in Health Care

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

Machine Learning for Fluid Mechanics

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

PyTorch-BigGraph: A Large-scale Graph Embedding System

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

Incremental Knowledge Base Construction Using DeepDive

Experimental Quantum Generative Adversarial Networks for Image Generation

Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

CURA: Certified Runtime Alarms for Computer-Use Agents

Network Sampling: From Static to Streaming Graphs

Any-to-Any Generation via Composable Diffusion

Local Binary Convolutional Neural Networks

Asymmetric Deep Supervised Hashing

Theory of overparametrization in quantum neural networks

RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests

Transformers without Tears: Improving the Normalization of Self-Attention

A Robust Learning Approach to Domain Adaptive Object Detection

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

Unsupervised State Representation Learning in Atari

On the number of response regions of deep feed forward networks with piece-wise linear activations

Staleness-aware Async-SGD for Distributed Deep Learning

GraphDF: A Discrete Flow Model for Molecular Graph Generation

Fast and Accurate Time Series Classification with WEASEL

Fast Algorithms for Robust PCA via Gradient Descent

The Privacy Blanket of the Shuffle Model

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Foolbox: A Python toolbox to benchmark the robustness of machine learning models

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Gradient Descent for Spiking Neural Networks

DeepFake Detection Based on the Discrepancy Between the Face and its Context

MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

Dual Diffusion Implicit Bridges for Image-to-Image Translation

Contrastive Learning Inverts the Data Generating Process

Online Learning Rate Adaptation with Hypergradient Descent

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Towards Unsupervised Deep Graph Structure Learning

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Selective Question Answering under Domain Shift

A Diagnostic Study of Explainability Techniques for Text Classification

Guided Conditional Diffusion for Controllable Traffic Simulation