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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27,661 to 27,720 of 33,096

When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models
Jaejun Shim, HyunJin Kim, Young Jin Kim +1
cs.AIcs.LGarXiv:2609.19671v12026
Vision-based Real Estate Price Estimation
Omid Poursaeed, Tomas Matera, Serge Belongie
cs.CVcs.LGarXiv:1707.05489v32017
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha, Elijah Cole, Pietro Perona
cs.CVcs.LGarXiv:1906.05272v32019
CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
Anirudh Khatry, Robert Zhang, Jia Pan +4
cs.SEcs.CLcs.LGarXiv:2504.15254v32025
Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive Models
Chengzheyi Yao, Yongzhao Zhang, Yongding Tian
cs.LGarXiv:2608.30366v12026
Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text
Zahra Hosseini, Mahan Pouromidi, Farzad Khalvati +1
cs.LGarXiv:2609.07986v12026
Analysis of Nystrom method with sequential ridge leverage scores
Daniele Calandriello, Alessandro Lazaric, Michal Valko
cs.LGstat.MLarXiv:2604.20077v12026
Rethinking the Role of Proxy Rewards in Language Model Alignment
Sungdong Kim, Minjoon Seo
cs.LGcs.AIcs.CLarXiv:2402.03469v32024
Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?
Boris Hanin
stat.MLcs.LGmath.PRarXiv:1801.03744v32018
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng, Varun Gangal, Jason Wei +4
cs.CLcs.AIcs.LGarXiv:2105.03075v52021
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing
Tommaso Cerruti, Tim Rieder, George Rowlands +2
cs.LGcs.AIarXiv:2607.07953v12026
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Yongchang Hao, Yanshuai Cao, Lili Mou
cs.LGcs.AIstat.MLarXiv:2402.03293v22024
Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update
Daocheng Fu, Rong Wu, Yu Yang +7
cs.LGcs.AIarXiv:2607.11505v22026
Smoothing proximal gradient method for general structured sparse regression
Xi Chen, Qihang Lin, Seyoung Kim +2
stat.MLcs.LGmath.OCarXiv:1005.4717v42010
Large Language Models are Geographically Biased
Rohin Manvi, Samar Khanna, Marshall Burke +2
cs.CLcs.AIcs.CYarXiv:2402.02680v22024
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks, Steven Basart, Norman Mu +10
cs.CVcs.LGstat.MLarXiv:2006.16241v32020
$\alpha$-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling
Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3
cs.LGcs.CVarXiv:2609.07961v12026
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis, Elliot Creager, Ajay Mandlekar +1
cs.LGcs.AIcs.ROarXiv:2210.11287v12022
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
Kamran Kowsari, Maryam Yammahi, Nima Bari +3
cs.DBcs.AIcs.DSarXiv:1503.06483v12015
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Xiaohang Fu, Lei Bi, Ashnil Kumar +2
eess.IVcs.CVcs.LGarXiv:2007.14728v22020
The Role of Uncertainty in Assessing the Fairness of Machine Learning Models
Francesca Panero, Ernst C. Wit, Marco Scutari
stat.MLcs.LGstat.MEarXiv:2609.07959v12026
When Does Contrastive Visual Representation Learning Work?
Elijah Cole, Xuan Yang, Kimberly Wilber +2
cs.CVcs.LGarXiv:2105.05837v22021
Revisiting Spectral Representations in Generative Diffusion Models
Yuehao Wang, Peihao Wang, Hanwen Jiang +3
cs.LGarXiv:2609.08253v12026
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang, Jun Li, Long Shi +5
cs.LGcs.AIcs.DCarXiv:2309.11039v12023
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar, Sidak Pal Singh, Dan Alistarh
cs.LGarXiv:2208.11580v22022
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert
stat.MLcs.LGarXiv:1311.2838v22013
Prevalence calibration as shortcut mitigation
Mohamed Amine Kina, Eike Petersen
cs.LGcs.CVarXiv:2609.07922v12026
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu, Juho Lee, Minseop Park +4
cs.LGcs.CVcs.NEarXiv:1805.10002v52018
When to use parametric models in reinforcement learning?
Hado van Hasselt, Matteo Hessel, John Aslanides
cs.LGcs.AIstat.MLarXiv:1906.05243v12019
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li, Liangren Zhang, Zhenming Liu
q-bio.QMcs.LGarXiv:1801.07299v32018
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Zengzhi Wang, Xuefeng Li, Rui Xia +1
cs.CLcs.AIcs.LGarXiv:2312.17120v22023
Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition
Philip H. Lee, Shreeram Suresh Chandra, John H. L. Hansen
cs.LGeess.SParXiv:2609.31399v12026
MLPerf Tiny Benchmark
Colby Banbury, Vijay Janapa Reddi, Peter Torelli +19
cs.LGcs.ARarXiv:2106.07597v42021
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Xingwei Qu, Shaowen Wang, Zihao Huang +16
cs.LGcs.AIarXiv:2512.24617v22025
The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]
Bilal Ahmad, Rajed Mehmood
cs.LGcs.AIq-bio.QMarXiv:2609.07897v12026
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang +1
cs.CRcs.AIcs.LGarXiv:2210.10936v12022
Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet +1
stat.MLcs.LGarXiv:2002.08871v22020
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
Luis Muñoz-González, Battista Biggio, Ambra Demontis +4
cs.LGarXiv:1708.08689v12017
BioMed-Agent-RL: A Meta Learning, All You Need for Biomedical Applications
Md Asaduzzaman Jabin, Zihao Wu, Tianming Liu
cs.LGcs.AIcs.CVarXiv:2608.21864v12026
DrugAssist: A Large Language Model for Molecule Optimization
Geyan Ye, Xibao Cai, Houtim Lai +5
q-bio.QMcs.AIcs.CLarXiv:2401.10334v12023
A self-learning scientific agent for X-ray diffraction
Bin Cao, Huichi Zhou, Runyu Yang +7
cond-mat.mtrl-scics.AIcs.LGarXiv:2610.07862v12026
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein
cs.CRcs.LGarXiv:1102.4374v12011
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
Shuofei Qiao, Yunxiang Wei, Jiazheng Fan +8
cs.AIcs.CLcs.IRarXiv:2605.22878v12026
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu +5
cs.CVcs.AIcs.LGarXiv:2502.14831v32025
ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks
Chen Qi, Yang Jingjing, Huang Ming +1
cs.LGeess.SParXiv:2401.08976v12024
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo Jiang, Tianyi Lin, Shiqian Ma +1
math.OCcs.LGstat.MLarXiv:1605.02408v52016
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta, Tomer Koren, Yoram Singer
cs.LGmath.OCstat.MLarXiv:1802.09568v22018
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao, Shuwei Shen, Mengjuan Xu +6
cs.CVcs.LGarXiv:2102.01284v22021
DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment
Henan Sun, Zehua Li, Haitao Hu +4
cs.LGcs.AIarXiv:2609.27572v12026
Skywork Open Reasoner 1 Technical Report
Jujie He, Jiacai Liu, Chris Yuhao Liu +14
cs.LGcs.AIcs.CLarXiv:2505.22312v22025
CodeTD: Topology of Attention Detects Hallucinations in Code LLMs
Daria Voronkova, Ilya Trofimov, Anton Dmitriev +3
cs.SEcs.AIcs.CLarXiv:2609.07779v12026
Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem +1
cs.LGcs.AIcs.SIarXiv:2106.07476v32021
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs
Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides +1
cs.CLcs.LGarXiv:2501.15674v22025
A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay
Yuqing Wang, Ioannis G. Kevrekidis, Mikhail Belkin
cs.LGmath.OCarXiv:2609.07755v12026
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor +2
cs.SDcs.LGeess.ASarXiv:2402.04825v32024
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.LGcs.AIarXiv:2511.00405v22025
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Shumao Zhang, Pengchuan Zhang, Thomas Y. Hou
stat.MLcs.CVcs.LGarXiv:2105.05489v12021
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo +1
quant-phcs.LGstat.MLarXiv:2208.11060v22022
On the Dual Formulation of Boosting Algorithms
Chunhua Shen, Hanxi Li
cs.LGcs.CVarXiv:0901.3590v72009
Cross-modal learning for SAR target recognition using optical vision foundation models
Lucas Hirsch, James R. Hopgood, Javid Khan +2
cs.CVcs.LGeess.IVarXiv:2609.07753v12026

Machine Learning

When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models

Vision-based Real Estate Price Estimation

Presence-Only Geographical Priors for Fine-Grained Image Classification

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation

Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive Models

Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text

Analysis of Nystrom method with sequential ridge leverage scores

Rethinking the Role of Proxy Rewards in Language Model Alignment

Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?

A Survey of Data Augmentation Approaches for NLP

Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing

Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update

Smoothing proximal gradient method for general structured sparse regression

Large Language Models are Geographically Biased

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

$\alpha$-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

MoCoDA: Model-based Counterfactual Data Augmentation

Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

The Role of Uncertainty in Assessing the Fairness of Machine Learning Models

When Does Contrastive Visual Representation Learning Work?

Revisiting Spectral Representations in Generative Diffusion Models

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

A PAC-Bayesian bound for Lifelong Learning

Prevalence calibration as shortcut mitigation

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

When to use parametric models in reinforcement learning?

Multi-Objective De Novo Drug Design with Conditional Graph Generative Model

MathPile: A Billion-Token-Scale Pretraining Corpus for Math

Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition

MLPerf Tiny Benchmark

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

Fast Differentiable Sorting and Ranking

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

BioMed-Agent-RL: A Meta Learning, All You Need for Biomedical Applications

DrugAssist: A Large Language Model for Molecule Optimization

A self-learning scientific agent for X-ray diffraction

Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research

Improving the Diffusability of Autoencoders

ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks

Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis

Shampoo: Preconditioned Stochastic Tensor Optimization

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment

Skywork Open Reasoner 1 Technical Report

CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

Training Graph Neural Networks with 1000 Layers

TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs

A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay

Fast Timing-Conditioned Latent Audio Diffusion

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference

Exponential concentration in quantum kernel methods

On the Dual Formulation of Boosting Algorithms

Cross-modal learning for SAR target recognition using optical vision foundation models