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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8,341 to 8,400 of 20,219

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim +12
cs.CVcs.AIcs.LGarXiv:2503.22020v12025
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio, Andrea Lodi, Antoine Prouvost
cs.LGstat.MLarXiv:1811.06128v22018
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille, Stefano Soatto
cs.LGcs.AIstat.MLarXiv:1706.01350v32017
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
Venkat Nemani, Luca Biggio, Xun Huan +6
cs.LGcs.AIarXiv:2305.04933v22023
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo, Liang Zhao
cs.LGstat.MLarXiv:2007.06686v32020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao +7
cs.CVcs.LGeess.IVarXiv:2007.13559v22020
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
cs.LGcs.NEarXiv:2402.15490v22024
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4
eess.IVcs.CVcs.LGarXiv:2004.03399v12020
F*: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
cs.LGcs.AIcs.CVarXiv:2008.00103v32020
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
cs.NEcs.LGarXiv:1511.04561v42015
Baldur: Whole-Proof Generation and Repair with Large Language Models
Emily First, Markus N. Rabe, Talia Ringer +1
cs.LGcs.LOcs.SEarXiv:2303.04910v22023
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby +2
cs.SIcs.LGphysics.soc-pharXiv:2101.05510v42021
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
cs.CVcs.LGeess.IVarXiv:2001.01469v12020
Continual Learning with Pre-Trained Models: A Survey
Da-Wei Zhou, Hai-Long Sun, Jingyi Ning +2
cs.LGcs.CVarXiv:2401.16386v22024
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa +2
eess.IVcs.CVcs.LGarXiv:2006.12230v12020
TGANet: Text-guided attention for improved polyp segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci +1
eess.IVcs.CVcs.LGarXiv:2205.04280v12022
A Survey on Explainable Anomaly Detection
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
cs.LGarXiv:2210.06959v22022
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
Heming Xia, Tao Ge, Peiyi Wang +3
cs.CLcs.LGarXiv:2203.16487v62022
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
Xiaohan Ding, Tianxiang Hao, Jianchao Tan +4
cs.LGcs.CVeess.IVarXiv:2007.03260v42020
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu +3
cs.CYcs.AIcs.LGarXiv:2010.12042v22020
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Jesse Dodge, Andreea Gane, Xiang Zhang +5
cs.CLcs.LGarXiv:1511.06931v62015
Knowledge Distillation via Route Constrained Optimization
Xiao Jin, Baoyun Peng, Yichao Wu +5
cs.LGcs.CVarXiv:1904.09149v12019
TensorFlow.js: Machine Learning for the Web and Beyond
Daniel Smilkov, Nikhil Thorat, Yannick Assogba +17
cs.LGarXiv:1901.05350v22019
Scaling Laws, Tabular Data and Actuarial Ratemaking Models
Ronald Richman
cs.LGq-fin.RMarXiv:2609.03106v12026
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang +1
cs.LGcs.AIstat.MLarXiv:2004.01608v32020
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi, Ashish Kumar, Roberto Calandra +2
cs.ROcs.AIcs.CVarXiv:2210.04887v12022
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen +3
cs.LGcs.NEcs.SEarXiv:1505.05969v12015
SenseBERT: Driving Some Sense into BERT
Yoav Levine, Barak Lenz, Or Dagan +6
cs.CLcs.LGarXiv:1908.05646v22019
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu, Jiawei Liu, Yuanqiang Liu +3
cs.LGcs.CYarXiv:1812.05448v42018
BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events
Parth Bramhecha, Smit Deshmukh, Sairaj Bodhale +2
cs.CLcs.LGarXiv:2609.02895v12026
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh, Daniel Lowd
cs.LGarXiv:2212.04612v32022
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar
eess.IVcs.CVcs.LGarXiv:2303.11435v52023
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu +4
cs.CVcs.LGarXiv:2010.10732v22020
A Simple Neural Attentive Meta-Learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen +1
cs.AIcs.LGcs.NEarXiv:1707.03141v32017
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
Rachel Lea Draelos, Lawrence Carin
eess.IVcs.CVcs.LGarXiv:2011.08891v42020
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Qingwen Bu, Yanting Yang, Jisong Cai +5
cs.ROcs.AIcs.LGarXiv:2505.06111v32025
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Weihao Zeng, Yuzhen Huang, Qian Liu +4
cs.LGcs.AIcs.CLarXiv:2503.18892v32025
Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
Jingtan Wang, Arun Verma, Xiaoqiang Lin +4
cs.CLcs.AIcs.LGarXiv:2609.01573v12026
Intriguing Properties of Contrastive Losses
Ting Chen, Calvin Luo, Lala Li
cs.LGcs.AIcs.CVarXiv:2011.02803v32020
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu +14
cs.CLcs.AIcs.LGarXiv:2507.19457v22025
A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction
Eric Aislan Antonelo
cs.LGarXiv:2609.01756v12026
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla
cs.CLcs.LGarXiv:2203.10321v12022
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Lucas Maes, Quentin Le Lidec, Damien Scieur +2
cs.LGcs.AIarXiv:2603.19312v32026
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
Xiaojing Liu, Feiyu Gao, Qiong Zhang +1
cs.IRcs.CVcs.LGarXiv:1903.11279v12019
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +2
cs.LGstat.MLarXiv:2404.08472v22024
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
cs.LGarXiv:2108.03348v32021
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification
Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
eess.SPcs.LGarXiv:1802.00308v22018
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Ganqu Cui, Yuchen Zhang, Jiacheng Chen +14
cs.LGcs.AIcs.CLarXiv:2505.22617v12025
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Wenxuan Huang, Bohan Jia, Zijie Zhai +7
cs.CVcs.AIcs.CLarXiv:2503.06749v42025
Simple linear attention language models balance the recall-throughput tradeoff
Simran Arora, Sabri Eyuboglu, Michael Zhang +6
cs.CLcs.LGarXiv:2402.18668v22024
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Karl Pertsch, Kyle Stachowicz, Brian Ichter +6
cs.ROcs.LGarXiv:2501.09747v12025
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Shenzhi Wang, Le Yu, Chang Gao +15
cs.CLcs.AIcs.LGarXiv:2506.01939v22025
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li, Xiang Gao, Yuan Li +4
cs.CLcs.LGstat.MLarXiv:2004.04092v42020
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
A. Chatzimparmpas, R. Martins, I. Jusufi +3
cs.LGcs.HCstat.MLarXiv:2212.11737v22022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
cs.CLcs.LGarXiv:2104.08835v22021
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Microsoft, :, Abdelrahman Abouelenin +73
cs.CLcs.AIcs.LGarXiv:2503.01743v22025
Online Non-Monotone DR-Submodular Maximization Matching the Offline $0.401$ Factor
Vaneet Aggarwal, Yiyang Lu
cs.LGcs.AIcs.CCarXiv:2609.02145v12026
Open-ended Learning in Symmetric Zero-sum Games
David Balduzzi, Marta Garnelo, Yoram Bachrach +4
cs.LGcs.GTcs.MAarXiv:1901.08106v22019
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Siyan Zhao, Zhihui Xie, Mengchen Liu +4
cs.LGcs.CLarXiv:2601.18734v32026
Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems
Jinxi Yu, Yubei Li, Eric Hanchen Jiang +6
cs.AIcs.LGcs.MAarXiv:2609.02264v12026

Machine Learning

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

Emergence of Invariance and Disentanglement in Deep Representations

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

A Systematic Survey on Deep Generative Models for Graph Generation

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

F*: An Interpretable Transformation of the F-measure

8-Bit Approximations for Parallelism in Deep Learning

Baldur: Whole-Proof Generation and Repair with Large Language Models

Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

Continual Learning with Pre-Trained Models: A Survey

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

TGANet: Text-guided attention for improved polyp segmentation

A Survey on Explainable Anomaly Detection

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

SAINT+: Integrating Temporal Features for EdNet Correctness Prediction

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

Knowledge Distillation via Route Constrained Optimization

TensorFlow.js: Machine Learning for the Web and Beyond

Scaling Laws, Tabular Data and Actuarial Ratemaking Models

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning

In-Hand Object Rotation via Rapid Motor Adaptation

Learning Program Embeddings to Propagate Feedback on Student Code

SenseBERT: Driving Some Sense into BERT

A First Look at Deep Learning Apps on Smartphones

BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events

Training Data Influence Analysis and Estimation: A Survey

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

SCOP: Scientific Control for Reliable Neural Network Pruning

A Simple Neural Attentive Meta-Learner

Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs

Intriguing Properties of Contrastive Losses

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction

Sequence-to-Sequence Knowledge Graph Completion and Question Answering

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

TSLANet: Rethinking Transformers for Time Series Representation Learning

Global Self-Attention as a Replacement for Graph Convolution

ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Simple linear attention language models balance the recall-throughput tradeoff

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Online Non-Monotone DR-Submodular Maximization Matching the Offline $0.401$ Factor

Open-ended Learning in Symmetric Zero-sum Games

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems