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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28,441 to 28,500 of 33,062

Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques
Sujith Mangalathu, Jong-Su Jeon
cs.CEcs.LGstat.MLarXiv:1807.09761v12018
Corralling a Band of Bandit Algorithms
Alekh Agarwal, Haipeng Luo, Behnam Neyshabur +1
cs.LGstat.MLarXiv:1612.06246v32016
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang, Xuran Pan, Shiji Song +3
cs.CVcs.LGstat.MLarXiv:1909.12220v52019
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala +4
cs.CVcs.LGarXiv:1806.03963v12018
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
cs.CLcs.AIcs.LGarXiv:2405.20139v12024
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, Yuhao Zhou, Yifan Zhou +104
cs.AIcs.CLcs.LGarXiv:2512.16969v12025
GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for \textit{De Novo} Peptide Sequencing
Abdellah El Mekki, Laks V. S. Lakshmanan, Muhammad Abdul-Mageed
cs.LGarXiv:2609.30542v12026
Adversarial Perturbations Fool Deepfake Detectors
Apurva Gandhi, Shomik Jain
cs.CVcs.LGcs.NEarXiv:2003.10596v22020
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen +1
cs.LGcs.AIcs.CGarXiv:2104.13478v22021
Physics-Integrated Operator Learning via Gaussian Splatting Representations
Jihao Zhang, Junyi Guo, Jian-Xun Wang
cs.LGarXiv:2608.24049v12026
Self-Supervised Generation of Spatial Audio for 360 Video
Pedro Morgado, Nuno Vasconcelos, Timothy Langlois +1
cs.SDcs.CVcs.LGarXiv:1809.02587v12018
Deep Signature Transforms
Patric Bonnier, Patrick Kidger, Imanol Perez Arribas +2
cs.LGstat.MLarXiv:1905.08494v22019
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
Structured State Space Models for In-Context Reinforcement Learning
Chris Lu, Yannick Schroecker, Albert Gu +4
cs.LGarXiv:2303.03982v32023
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng, Kiran Prasad, Roland Fernandez +3
cs.CLcs.AIcs.LGarXiv:2311.01460v12023
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
cs.LGcs.AIstat.MLarXiv:1806.06923v12018
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
math.STcs.LGstat.MLarXiv:1708.06633v52017
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash +2
cs.LGstat.MLarXiv:2006.11194v12020
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
cs.LGcs.AIcs.CCarXiv:1602.05897v22016
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
cs.LGcs.DCstat.MLarXiv:2007.09712v12020
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
cs.LGcs.CVstat.MLarXiv:1608.08967v12016
BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
Alvin Spivey, Yu Huang
cs.SEcs.CRcs.LGarXiv:2608.21503v12026
Three hypergraph eigenvector centralities
Austin R. Benson
cs.SIcs.LGphysics.soc-pharXiv:1807.09644v32018
Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback
Ho-min Park, Byungkon Kang
cs.LGcs.CVarXiv:2609.39456v12026
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen, Wenqi Fan, Guanghui Zhu +4
cs.LGcs.AIcs.IRarXiv:2207.10307v12022
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner, Sergey Levine, William T. Freeman +3
cs.LGcs.AIcs.CVarXiv:1812.10972v22018
Robustly representing uncertainty in deep neural networks through sampling
Patrick McClure, Nikolaus Kriegeskorte
cs.LGcs.CVcs.NEarXiv:1611.01639v72016
Message-passing neural networks for high-throughput polymer screening
Peter C. St. John, Caleb Phillips, Travis W. Kemper +4
physics.comp-phcs.LGstat.MLarXiv:1807.10363v22018
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong +2
cs.CVcs.AIcs.LGarXiv:2104.14558v12021
Low-rank Kernel Learning for Graph-based Clustering
Zhao Kang, Liangjian Wen, Wenyu Chen +1
cs.LGcs.CVstat.MLarXiv:1903.05962v12019
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Shen Nie, Hanzhong Allan Guo, Cheng Lu +3
cs.CVcs.LGarXiv:2311.01410v22023
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017
The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation
Farid Bagirov, Mikhail Arkhipov, Ksenia Sycheva +2
cs.LGarXiv:2510.23393v12025
rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment
Lars Simon Zehnder
cs.LGcs.DCcs.PFarXiv:2608.17641v22026
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan, Xinxing Xu, Yong Liu
cs.LGarXiv:1606.08117v22016
Probabilistic Fair Clustering
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas +1
cs.LGcs.AIcs.DSarXiv:2006.10916v32020
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu, Huaisheng Zhu, Ruiqi Zheng +2
cs.LGcs.AIarXiv:2106.02817v12021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa +1
cs.CVcs.LGarXiv:2111.15640v32021
Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization
Giovanni Dispoto, Marcello Restelli, Carmine Ventre
q-fin.PMcs.CEcs.LGarXiv:2609.02677v12026
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg +5
eess.AScs.CLcs.LGarXiv:1904.03288v32019
An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning
Mino Nakura, Sriram Krishna, Yufei Wang +3
cs.ROcs.CVcs.LGarXiv:2609.32762v12026
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang +7
cs.ROcs.AIcs.LGarXiv:2210.03094v22022
Unity: A General Platform for Intelligent Agents
Arthur Juliani, Vincent-Pierre Berges, Ervin Teng +8
cs.LGcs.AIcs.NEarXiv:1809.02627v22018
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, Roberto Calandra +2
cs.LGcs.AIstat.MLarXiv:2006.10742v22020
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli A. Meirom +2
cs.CVcs.LGarXiv:2204.01694v32022
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu, Sangkyung Kwak, Huiwon Jang +4
cs.CVcs.LGarXiv:2410.06940v42024
Summaries:简体中文
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems
Mohsen Shahhosseini, Guiping Hu, Hieu Pham
stat.MLcs.LGstat.MEarXiv:1908.05287v62019
Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification
Ziqi Zhang
cs.LGcs.MAcs.SYarXiv:2609.03308v12026
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang, Hao Ye, Guanding Yu +1
cs.ITcs.LGarXiv:1907.03289v22019
CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
Yinghao Ma, Haiwen Xia, Hewei Gao +9
cs.SDcs.AIcs.LGarXiv:2603.00610v32026
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
Jiawei Liu, Jinkun Lin, Fabian Ruffy +4
cs.LGcs.SEarXiv:2207.13066v22022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami, Thomas Hayes, Oran Gafni +6
cs.CVcs.GRcs.LGarXiv:2211.14305v22022
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom +8
cs.CVcs.LGcs.NEarXiv:2104.13369v22021
In-Place Test-Time Training
Guhao Feng, Shengjie Luo, Kai Hua +4
cs.LGcs.AIcs.CLarXiv:2604.06169v12026
Offline Reinforcement Learning for Wind Farm Control: A Wind Tunnel Study under Dynamic Wind Directions
Yuhan Su, Hongyang Dong, Simone Tamaro +3
cs.LGarXiv:2609.12905v12026
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
Ilgee Hong, Changlong Yu, Liang Qiu +8
cs.LGarXiv:2505.16265v12025
LipNet: End-to-End Sentence-level Lipreading
Yannis M. Assael, Brendan Shillingford, Shimon Whiteson +1
cs.LGcs.CLcs.CVarXiv:1611.01599v22016
LVSA: Training-Free Sparse Attention for Long Video Diffusion
Gael Glorian, Ioannis Lamprou, Zhen Zhang +2
cs.CVcs.LGarXiv:2605.31057v12026
Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robots
Rana Danesh, Pari Qarehdaghi, Farrokh Janabi-Sharifi
cs.ROcs.LGarXiv:2608.26273v12026

Machine Learning

Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques

Corralling a Band of Bandit Algorithms

Implicit Semantic Data Augmentation for Deep Networks

Neural Proximal Gradient Descent for Compressive Imaging

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for \textit{De Novo} Peptide Sequencing

Adversarial Perturbations Fool Deepfake Detectors

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Physics-Integrated Operator Learning via Gaussian Splatting Representations

Self-Supervised Generation of Spatial Audio for 360 Video

Deep Signature Transforms

Honeybee: Locality-enhanced Projector for Multimodal LLM

Structured State Space Models for In-Context Reinforcement Learning

Implicit Chain of Thought Reasoning via Knowledge Distillation

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

Implicit Quantile Networks for Distributional Reinforcement Learning

Nonparametric regression using deep neural networks with ReLU activation function

Does Explainable Artificial Intelligence Improve Human Decision-Making?

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Robustness of classifiers: from adversarial to random noise

BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces

Three hypergraph eigenvector centralities

Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback

Knowledge-enhanced Black-box Attacks for Recommendations

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Robustly representing uncertainty in deep neural networks through sampling

Message-passing neural networks for high-throughput polymer screening

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Low-rank Kernel Learning for Graph-based Clustering

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation

rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment

Improved Recurrent Neural Networks for Session-based Recommendations

Probabilistic Fair Clustering

ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization

Jasper: An End-to-End Convolutional Neural Acoustic Model

An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning

VIMA: General Robot Manipulation with Multimodal Prompts

Unity: A General Platform for Intelligent Agents

Learning Invariant Representations for Reinforcement Learning without Reconstruction

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems

Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

SpaText: Spatio-Textual Representation for Controllable Image Generation

Explaining in Style: Training a GAN to explain a classifier in StyleSpace

In-Place Test-Time Training

Offline Reinforcement Learning for Wind Farm Control: A Wind Tunnel Study under Dynamic Wind Directions

Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models

LipNet: End-to-End Sentence-level Lipreading

LVSA: Training-Free Sparse Attention for Long Video Diffusion

Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robots