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.

Search paper metadata (including unsummarized papers)

8,221 to 8,280 of 20,199

Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
cs.LGcs.AIstat.MLarXiv:1811.04364v62018
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities
Dong Huang, Chang-Dong Wang, Hongxing Peng +2
cs.LGstat.MLarXiv:1810.12544v12018
Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data
Xiao Zhao, Daniela Oelke
cs.LGarXiv:2609.01262v12026
Motus: A Unified Latent Action World Model
Hongzhe Bi, Hengkai Tan, Shenghao Xie +13
cs.CVcs.LGcs.ROarXiv:2512.13030v22025
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Jaynta Mandi, Emir Demirović, Peter. J Stuckey +1
cs.LGcs.AImath.OCarXiv:1911.10092v12019
Latent unified smooth Hamiltonians for excited state chemistry
David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2
physics.chem-phcs.LGarXiv:2609.01871v12026
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Haozhe Wang, Chao Qu, Zuming Huang +3
cs.LGcs.AIarXiv:2504.08837v32025
Classification-based Financial Markets Prediction using Deep Neural Networks
Matthew Dixon, Diego Klabjan, Jin Hoon Bang
cs.LGcs.CEarXiv:1603.08604v22016
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu +5
cs.LGcs.AIcs.CLarXiv:2504.14945v52025
Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation
Wentao Ye, Zhanming Shen, Zhiqing Xiao +3
cs.LGarXiv:2609.00762v12026
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Randall Balestriero, Yann LeCun
cs.LGcs.AIcs.CVarXiv:2511.08544v32025
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo
cs.LGcs.AIarXiv:2109.05472v22021
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
Shubham Gandhi, Saurabh Goyal, Kiran Kate +1
cs.AIcs.LGcs.SEarXiv:2609.04094v12026
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui Lin, Jeff A. Bilmes
cs.LGcs.CLcs.IRarXiv:1210.4871v12012
Accelerating scientific discovery with Co-Scientist
Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48
cs.AIcs.CLcs.HCarXiv:2502.18864v22025
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Yuanlu Xu, Song-Chun Zhu, Tony Tung
cs.CVcs.LGeess.IVarXiv:1910.00116v22019
ToolRL: Reward is All Tool Learning Needs
Cheng Qian, Emre Can Acikgoz, Qi He +5
cs.LGcs.AIcs.CLarXiv:2504.13958v12025
Early Detection of Breast Cancer using SVM Classifier Technique
Y. Ireaneus Anna Rejani, S. Thamarai Selvi
cs.LGarXiv:0912.2314v12009
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1155
cs.LGcs.AIcs.CLarXiv:2501.14249v112025
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT
Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9
cs.CVcs.LGcs.MMarXiv:1909.07741v12019
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms
Erich Schubert, Peter J. Rousseeuw
cs.LGcs.AIstat.MLarXiv:2008.05171v22020
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3
cs.AIcs.CLcs.LGarXiv:2506.06941v32025
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Li Yang, Abdallah Moubayed, Ismail Hamieh +1
cs.LGcs.CRstat.MLarXiv:1910.08635v22019
On the Effect of Dropping Layers of Pre-trained Transformer Models
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +1
cs.CLcs.LGarXiv:2004.03844v32020
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
cs.CVcs.LGcs.MMarXiv:1603.04930v22016
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang +7
cs.HCcs.AIcs.CLarXiv:2501.04227v22025
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
Kai Lei, Meng Qin, Bo Bai +2
cs.SIcs.LGcs.NIarXiv:1901.09165v12019
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar +1
cs.CVcs.LGcs.NEarXiv:1603.07839v12016
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang, Junyang Lin, Chang Zhou +2
cs.LGarXiv:2203.12221v12022
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren, Guanding Yu, Guangyao Ding
cs.LGeess.SParXiv:1905.09712v32019
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean McLeish, Neel Jain +6
cs.LGcs.CLarXiv:2502.05171v22025
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
GLM-V Team, :, Wenyi Hong +91
cs.CVcs.AIcs.LGarXiv:2507.01006v62025
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Liang Sun, Zhanhao Mo, Fuhua Yan +14
eess.IVcs.CVcs.LGarXiv:2005.03264v12020
Practical Deep Reinforcement Learning Approach for Stock Trading
Xiao-Yang Liu, Zhuoran Xiong, Shan Zhong +2
cs.LGq-fin.TRstat.MLarXiv:1811.07522v32018
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Runjin Chen, Andy Arditi, Henry Sleight +2
cs.CLcs.LGarXiv:2507.21509v32025
Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
Jia-Nan Wang, Zixun Huang, Kairui Li +1
stat.MLcs.LGmath.OCarXiv:2609.02728v12026
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
Feng Shi, Liming Xia, Fei Shan +7
eess.IVcs.CVcs.LGarXiv:2003.09860v12020
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Yaroslav Prytula, Anton Popov, Dmytro Fishman
cs.CVcs.AIcs.LGarXiv:2608.29253v12026
Muon is Scalable for LLM Training
Jingyuan Liu, Jianlin Su, Xingcheng Yao +25
cs.LGcs.AIcs.CLarXiv:2502.16982v12025
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Zhenru Zhang, Chujie Zheng, Yangzhen Wu +6
cs.CLcs.AIcs.LGarXiv:2501.07301v22025
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta +2
cs.CLcs.LGarXiv:2004.07453v22020
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou, Anthony Man-Cho So
math.OCcs.LGmath.NAarXiv:1512.03518v12015
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
stat.MLcs.AIcs.LGarXiv:1701.03757v22017
Diffusion Transformers with Representation Autoencoders
Boyang Zheng, Nanye Ma, Shengbang Tong +1
cs.CVcs.LGarXiv:2510.11690v12025
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
cs.NEcs.LGstat.MLarXiv:1804.02464v32018
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield +4
cs.CVcs.AIcs.LGarXiv:2012.06985v42020
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou, Han-Jia Ye, Liang Ma +3
cs.CVcs.LGarXiv:2203.17030v22022
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh +2
cs.CLcs.LGarXiv:2503.01307v22025
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani +10
cs.LGcs.AIcs.CLarXiv:2510.04618v32025
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Jingfeng Yao, Bin Yang, Xinggang Wang
cs.CVcs.LGarXiv:2501.01423v32025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5
cs.LGcs.AIarXiv:2503.09573v32025
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang +4
cs.HCcs.AIcs.LGarXiv:2301.05809v12023
Process Reinforcement through Implicit Rewards
Ganqu Cui, Lifan Yuan, Zefan Wang +22
cs.LGcs.AIcs.CLarXiv:2502.01456v22025
TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis
Jiahao Wu, Zhenqun Yang, Chen Jason Zhang +1
cs.LGarXiv:2609.02540v12026
Summaries:한국어
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Yuzhang Luo, Chenpeng Wang, Jianhui Chen +1
cs.CLcs.AIcs.LGarXiv:2609.02771v12026
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.LGcs.AIarXiv:2609.02417v12026
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh +4
cs.LGarXiv:2111.00064v32021
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz +5
eess.IVcs.LGeess.SParXiv:2002.05115v12020

Machine Learning

Survey of state-of-the-art mixed data clustering algorithms

Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities

Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

Motus: A Unified Latent Action World Model

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems

Latent unified smooth Hamiltonians for excited state chemistry

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Classification-based Financial Markets Prediction using Deep Neural Networks

Learning to Reason under Off-Policy Guidance

Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Compute and Energy Consumption Trends in Deep Learning Inference

DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

Learning Mixtures of Submodular Shells with Application to Document Summarization

Accelerating scientific discovery with Co-Scientist

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

ToolRL: Reward is All Tool Learning Needs

Early Detection of Breast Cancer using SVM Classifier Technique

Humanity's Last Exam

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

On the Effect of Dropping Layers of Pre-trained Transformer Models

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Deep Fully-Connected Networks for Video Compressive Sensing

Agent Laboratory: Using LLM Agents as Research Assistants

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)

Accelerating DNN Training in Wireless Federated Edge Learning Systems

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Practical Deep Reinforcement Learning Approach for Stock Trading

Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation

Muon is Scalable for LLM Training

The Lessons of Developing Process Reward Models in Mathematical Reasoning

The Right Tool for the Job: Matching Model and Instance Complexities

A Unified Approach to Error Bounds for Structured Convex Optimization Problems

Deep Probabilistic Programming

Diffusion Transformers with Representation Autoencoders

Differentiable plasticity: training plastic neural networks with backpropagation

Contrastive Learning for Label-Efficient Semantic Segmentation

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Process Reinforcement through Implicit Rewards

TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis

From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Machine-Learning-Based Diagnostics of EEG Pathology