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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5,101 to 5,160 of 20,192

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
Bingyang Wu, Shengyu Liu, Yinmin Zhong +3
cs.DCcs.LGarXiv:2404.09526v22024
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
Jie Cheng, Gang Xiong, Ruixi Qiao +5
cs.AIcs.LGarXiv:2504.15275v32025
Focused Transformer: Contrastive Training for Context Scaling
Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek +3
cs.CLcs.AIcs.LGarXiv:2307.03170v22023
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh, Charles Siegel, Abhinav Vishnu +2
stat.MLcs.AIcs.CEarXiv:1706.06689v12017
Do Large Language Model Benchmarks Test Reliability?
Joshua Vendrow, Edward Vendrow, Sara Beery +1
cs.LGcs.CLarXiv:2502.03461v12025
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
Weichen Fan, Chenyang Si, Junhao Song +16
cs.CVcs.LGarXiv:2501.08453v12025
Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
Hermione Warr, Harry Anthony, Lilli J Freischem +3
cs.LGcs.AIarXiv:2608.30021v12026
On the Instance Hardness as a Decision Criterion in TinyML Systems
Tobiasz Puslecki, Krzysztof Walkowiak
cs.AIcs.LGarXiv:2608.29913v12026
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag +1
cs.CLcs.AIcs.LGarXiv:2504.14150v22025
Adversarial Dropout for Supervised and Semi-supervised Learning
Sungrae Park, Jun-Keon Park, Su-Jin Shin +1
cs.LGcs.CVarXiv:1707.03631v22017
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Álvaro Arroyo, Alessio Gravina, Benjamin Gutteridge +5
cs.LGcs.AIarXiv:2502.10818v22025
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark, Priyank Jaini
cs.CVcs.AIcs.LGarXiv:2303.15233v22023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang, Zeke Xie, Hanyu Peng +3
cs.LGarXiv:2205.09329v22022
The Intervention Gap in Latent World Models
Donna Vakalis
cs.LGarXiv:2608.29998v12026
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao +4
cs.IRcs.LGarXiv:2102.09267v12021
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
cs.LGcs.CReess.SParXiv:2004.05005v12020
Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains
Abdolmehdi Behroozi, Chaopeng Shen
cs.LGarXiv:2608.29892v12026
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
cs.LGstat.MLarXiv:2006.03548v22020
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
Richard Ren, Arunim Agarwal, Mantas Mazeika +13
cs.LGcs.AIcs.CLarXiv:2503.03750v32025
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Ziya Erkoç, Fangchang Ma, Qi Shan +2
cs.CVcs.LGarXiv:2303.17015v12023
On the Resilience of Text-to-Video Diffusion Models to Hardware Faults
Zachary Coalson, A M Aahad, Stella Doehring +2
cs.LGarXiv:2608.29598v12026
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
cs.CLcs.AIcs.LGarXiv:2405.20139v12024
MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents
Hei Ting, Chan, Chenwei Wu +5
cs.LGcs.DCcs.MAarXiv:2608.29528v12026
LEMUR 2: Unlocking Neural Network Diversity for AI
Tolgay Atinc Uzun, Waleed Khalid, Saif U Din +17
cs.LGcs.CVarXiv:2607.06839v12026
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin +5
cs.CVcs.LGeess.IVarXiv:1912.05027v32019
The Curse of Depth in Large Language Models
Wenfang Sun, Xinyuan Song, Pengxiang Li +3
cs.LGcs.AIarXiv:2502.05795v62025
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes, Jean Ponce, Yann LeCun
cs.CVcs.AIcs.LGarXiv:2210.01571v12022
Conservative Hybrid Graph Networks for Process Systems with Learned Routing
Paolo Guida
cs.LGarXiv:2608.28896v12026
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
Alan Baade, Eric Ryan Chan, Kyle Sargent +4
cs.CVcs.LGarXiv:2602.11401v12026
ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning
Xin Jiang, Minhao Wang, Wen Wu +4
cs.LGarXiv:2608.28771v12026
Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior
Daniel Wurgaft, Can Rager, Matthew Kowal +13
cs.LGarXiv:2605.05115v12026
MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
Yixing Jiang, Kameron C. Black, Gloria Geng +4
cs.LGcs.AIcs.MAarXiv:2501.14654v22025
MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry
Ilyes Batatia, William J. Baldwin, Domantas Kuryla +10
physics.chem-phcs.LGarXiv:2602.19411v12026
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri, Ahmet Üstün, Arash Ahmadian +3
cs.CLcs.LGarXiv:2309.05444v12023
RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
Leyi Pan, Shuchang Tao, Yunpeng Zhai +5
cs.LGcs.CLarXiv:2606.11709v12026
SGTR: End-to-end Scene Graph Generation with Transformer
Rongjie Li, Songyang Zhang, Xuming He
cs.CVcs.LGarXiv:2112.12970v32021
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen, Haocheng Ye, Zhian Ying +2
cs.LGarXiv:2501.10796v12025
Interpreting CLIP with Hierarchical Sparse Autoencoders
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek
cs.CVcs.AIcs.LGarXiv:2502.20578v22025
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu +3
cs.CLcs.LGarXiv:2406.07522v32024
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
Xiangfei Qiu, Hanyin Cheng, Xingjian Wu +5
cs.LGarXiv:2502.10721v32025
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam A. Tailor, Javier Fernandez-Marques, Nicholas D. Lane
cs.LGstat.MLarXiv:2008.05000v32020
A User Simulator for Task-Completion Dialogues
Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra +3
cs.LGcs.AIcs.CLarXiv:1612.05688v32016
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng +7
cs.LGcs.CLarXiv:2501.11873v22025
Proportionally Fair Clustering
Xingyu Chen, Brandon Fain, Liang Lyu +1
cs.LGcs.DScs.GTarXiv:1905.03674v32019
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
cs.LGcs.NEstat.MLarXiv:1908.05164v32019
APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows
Zelin Wan, Arash Nourian, Xiaoxiao Li +2
cs.AIcs.LGcs.SEarXiv:2608.29128v12026
MNN: A Universal and Efficient Inference Engine
Xiaotang Jiang, Huan Wang, Yiliu Chen +9
cs.CVcs.DCcs.LGarXiv:2002.12418v12020
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
Yunhui Zheng, Saurabh Pujar, Burn Lewis +6
cs.SEcs.AIcs.LGarXiv:2102.07995v12021
Contextual Agent Security: A Policy for Every Purpose
Lillian Tsai, Eugene Bagdasarian
cs.CRcs.CLcs.LGarXiv:2501.17070v32025
Unsupervised Latent Space Alignment with Hyperspherical Geodesic Matching
Cameron Ryan, Vivek Sivaraman Narayanaswamy, Kowshik Thopalli +1
cs.LGarXiv:2608.28840v12026
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Soyeong Jeong, Kangsan Kim, Jinheon Baek +1
cs.CVcs.AIcs.CLarXiv:2501.05874v32025
Randomized Nonlinear Component Analysis
David Lopez-Paz, Suvrit Sra, Alex Smola +2
stat.MLcs.LGarXiv:1402.0119v22014
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Dong Shu, Xuansheng Wu, Haiyan Zhao +4
cs.LGcs.AIcs.CLarXiv:2503.05613v32025
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo +2
cs.LGstat.MLarXiv:2003.12725v32020
Language Models Use Trigonometry to Do Addition
Subhash Kantamneni, Max Tegmark
cs.AIcs.CLcs.LGarXiv:2502.00873v12025
PathBridger: Subgoal Bridges for Offline Goal-Conditioned Reinforcement Learning
Soohyun Choi, Seonvin Cho, Songnam Hong
cs.LGcs.ROarXiv:2608.29061v12026
Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion
Jose Andres Millan-Romera, Samuel Cognolato, Holger Voos +2
cs.ROcs.LGarXiv:2608.28733v12026
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin, Jannik Kossen, Yarin Gal +1
cs.LGcs.AIcs.CLarXiv:2405.20003v12024
Flows for simultaneous manifold learning and density estimation
Johann Brehmer, Kyle Cranmer
stat.MLcs.LGarXiv:2003.13913v32020

Machine Learning

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism

Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning

Focused Transformer: Contrastive Training for Context Scaling

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

Do Large Language Model Benchmarks Test Reliability?

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models

On the Instance Hardness as a Decision Criterion in TinyML Systems

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Adversarial Dropout for Supervised and Semi-supervised Learning

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

Text-to-Image Diffusion Models are Zero-Shot Classifiers

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The Intervention Gap in Latent World Models

Sparse-Interest Network for Sequential Recommendation

Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems

Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains

Graphon Neural Networks and the Transferability of Graph Neural Networks

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion

On the Resilience of Text-to-Video Diffusion Models to Hardware Faults

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

MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents

LEMUR 2: Unlocking Neural Network Diversity for AI

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

The Curse of Depth in Large Language Models

VICRegL: Self-Supervised Learning of Local Visual Features

Conservative Hybrid Graph Networks for Process Systems with Learned Routing

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation

ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents

MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry

Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

SGTR: End-to-end Scene Graph Generation with Transformer

Dynamic Trend Fusion Module for Traffic Flow Prediction

Interpreting CLIP with Hierarchical Sparse Autoencoders

LSHTC: A Benchmark for Large-Scale Text Classification

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

Degree-Quant: Quantization-Aware Training for Graph Neural Networks

A User Simulator for Task-Completion Dialogues

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Proportionally Fair Clustering

Unconstrained Monotonic Neural Networks

APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows

MNN: A Universal and Efficient Inference Engine

D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

Contextual Agent Security: A Policy for Every Purpose

Unsupervised Latent Space Alignment with Hyperspherical Geodesic Matching

VideoRAG: Retrieval-Augmented Generation over Video Corpus

Randomized Nonlinear Component Analysis

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models

A Graph to Graphs Framework for Retrosynthesis Prediction

Language Models Use Trigonometry to Do Addition

PathBridger: Subgoal Bridges for Offline Goal-Conditioned Reinforcement Learning

Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

Flows for simultaneous manifold learning and density estimation