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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1,321 to 1,380 of 20,215

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
eess.IVcs.CVcs.LGarXiv:1912.11027v22019
AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu +2
cs.LGcs.CRstat.MLarXiv:1908.07643v22019
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang +3
cs.CLcs.LGarXiv:2010.07835v32020
ExGRPO: Learning to Reason from Experience
Runzhe Zhan, Yafu Li, Zhi Wang +5
cs.LGcs.AIcs.CLarXiv:2510.02245v22025
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.LGcs.AIarXiv:2511.00405v22025
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
Junlong Shen Xingyu Li
cs.AIcs.LGarXiv:2609.11490v12026
Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution
Romain Claret, Arthur Gygax, Michael O'Neill +3
cs.NEcs.CVcs.LGarXiv:2609.11518v12026
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
Harshdeep Singh, Yurui Zhu, Giovanni Colavizza +1
cs.AIcs.LGarXiv:2609.11569v12026
Risk-Averse Decision Making with Multi-Level Reliability Guarantees
Amirmohammad Farzaneh, Osvaldo Simeone
stat.MLcs.ITcs.LGarXiv:2609.11524v12026
The Path Not Taken: RLVR Provably Learns Off the Principals
Hanqing Zhu, Zhenyu Zhang, Hanxian Huang +11
cs.LGcs.AIarXiv:2511.08567v12025
Hologram Representation via Quadratic Phase Gaussian Splatting
Haolong Wang, Yicheng Zhan, Kaan Akşit +1
cs.GRcs.CVcs.LGarXiv:2609.11434v12026
Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
Ling Guo, Lei Li, Jingtong Zhang
math.NAcs.LGarXiv:2609.11376v12026
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5
cs.CVcs.AIcs.LGarXiv:2609.11310v12026
General Agentic Memory Via Deep Research
B. Y. Yan, Chaofan Li, Hongjin Qian +2
cs.CLcs.AIcs.IRarXiv:2511.18423v12025
Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction
Ann-Kristin Malz, Gregory Ashton, Nicolo Colombo
gr-qccs.LGstat.MLarXiv:2609.11401v12026
GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation
Yunfei Li, Xiao Ma, Jiafeng Xu +18
cs.ROcs.LGarXiv:2512.01801v32025
A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs
Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +1
stat.MLcs.LGarXiv:2609.11295v12026
A Two-Mirror Faceted Projection System for EUV Lithography
Vasiliy A. Es'kin, Egor V. Ivanov, Olga V. Martynova
physics.opticscs.LGphysics.app-pharXiv:2609.11299v12026
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
Denny Wu, Ji Xu
stat.MLcs.LGmath.STarXiv:2006.05800v42020
Learning Physics-guided Face Relighting under Directional Light
Thomas Nestmeyer, Jean-François Lalonde, Iain Matthews +1
cs.CVcs.GRcs.LGarXiv:1906.03355v22019
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Tianyu Fu, Zihan Min, Hanling Zhang +4
cs.CLcs.LGarXiv:2510.03215v22025
Error Bounds of Imitating Policies and Environments
Tian Xu, Ziniu Li, Yang Yu
cs.LGarXiv:2010.11876v12020
Predicting Train Delays in Finland Using Machine Learning and Weather Data
Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda Mahmood
cs.AIcs.LGarXiv:2609.11277v12026
Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders
Angela Cratere, Luca Ghilardi, Vishnu Reddy +3
cs.CVcs.AIcs.LGarXiv:2609.11269v12026
Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1
Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2
cs.AIcs.LGarXiv:2609.11281v12026
Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations
Xiaojie Li, Yu Han, Han Fang +3
eess.SPcs.LGarXiv:2609.11255v12026
Rethinking the Hyperparameters for Fine-tuning
Hao Li, Pratik Chaudhari, Hao Yang +4
cs.CVcs.LGstat.MLarXiv:2002.11770v12020
Generative Replay Mitigates Sample Starvation in Quantum Architecture Search
Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1
quant-phcs.AIcs.ETarXiv:2609.11248v12026
CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting
Yalda Taheri, Mohammad Hassan Heydari, Armon Rasooli +3
cs.AIcs.CEcs.LGarXiv:2609.11206v12026
Coherent Floquet quantum reservoirs for molecular property prediction
Luofei Wang, Da Zhang, Congren Wang +5
quant-phcs.LGarXiv:2609.11071v12026
Diffusion Language Models are Super Data Learners
Jinjie Ni, Qian Liu, Longxu Dou +5
cs.LGarXiv:2511.03276v12025
Diversity of EML-type operators
Andrzej Odrzywołek
cs.SCcs.LGmath.LOarXiv:2609.11210v12026
TailProp: content-adaptive light- and heavy-tailed propagation for vision
Jiahao Kong, Zihan Li
cs.CVcs.LGarXiv:2609.11081v12026
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
cs.LGcs.CVq-bio.QMarXiv:2011.01355v12020
Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction
Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2
cs.CVcs.LGarXiv:2609.11041v12026
The Platonic brain bridge hypothesis: human brain networks as an architectural prior for omni models
Pengfei Zhang, Biao Tian, Xiangang Li +1
q-bio.NCcs.LGarXiv:2609.10947v12026
Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove
Menuka Ghalan, Charles Rodgers, Zachary D. Asher
cs.ROcs.LGarXiv:2609.10951v12026
A variational physics-informed graph neural network for heterogeneous solid mechanics
Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar Annabattula
math.NAcs.LGarXiv:2609.10983v12026
Training Deeper Neural Machine Translation Models with Transparent Attention
Ankur Bapna, Mia Xu Chen, Orhan Firat +2
cs.CLcs.AIcs.LGarXiv:1808.07561v22018
Empirical Evaluation of Data Poisoning Attacks in Supervised Learning
Toshif Khan, Muhammad Abusaqer
cs.CRcs.LGarXiv:2609.10952v12026
ObstaDiff: Generalizable Diffusion Policy Learning via Obstacle-aware Representations
Jiawen Wang, Kevin Yao, Khalid Jawed
cs.ROcs.LGarXiv:2609.10918v12026
scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning
Murthy Devarakonda
q-bio.QMcs.LGarXiv:2609.10831v12026
Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions
Alejandro Galan-Cuenca, Marcelo Saval-Calvo, Antonio Javier Gallego
cs.CVcs.AIcs.LGarXiv:2609.10851v12026
Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data
Nizam Mohammed, Abu B. S. Rahman, Dimuthu D. K. Arachchige
cs.SDcs.IRcs.LGarXiv:2609.10862v12026
Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning
Umang Garg, Warren Zamudio, McLean P. Echlin +3
cs.CVcond-mat.mtrl-scics.LGarXiv:2609.10898v12026
DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM Agents
Asif Pinjari, Mithun Paul Saint-Germain
cs.CRcs.AIcs.LGarXiv:2609.10892v12026
TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Zhangchen Xu, Adriana Meza Soria, Shawn Tan +4
cs.LGcs.AIcs.CLarXiv:2510.01179v12025
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
Jintao Zhang, Haoxu Wang, Kai Jiang +10
cs.LGcs.AIcs.CVarXiv:2509.24006v22025
Tree Search for Language Model Agents
Jing Yu Koh, Stephen McAleer, Daniel Fried +1
cs.AIcs.CLcs.LGarXiv:2407.01476v42024
Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson
stat.MLcs.AIcs.CVarXiv:1705.09558v32017
Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving
Hongjian Fan, Kevin Zhang, David Habinsky +1
cs.DCcs.LGarXiv:2609.10790v12026
Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI
Sylvain Jaume, Hongming Wang, Simon K. Warfield
eess.IVcs.CVcs.LGarXiv:2609.10825v12026
How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmark
Seongjin Choi
cs.CVcs.LGarXiv:2609.10801v12026
Latent Collaboration in Multi-Agent Systems
Jiaru Zou, Ruizhong Qiu, Gaotang Li +10
cs.CLcs.AIcs.LGarXiv:2511.20639v42025
FLEX: Continuous Agent Evolution via Forward Learning from Experience
Zhicheng Cai, Xinyuan Guo, Yu Pei +7
cs.LGcs.AIarXiv:2511.06449v22025
Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error Geometry
Elina Moldavskaya
stat.MLcs.LGarXiv:2609.10767v12026
When Synthetic Data Hurts: On Catastrophic Forgetting in Skill Retrieval for LLM Agents
Syed Shariyar Murtaza, Yifan Nie, Utkarsh Soni +2
cs.IRcs.AIcs.LGarXiv:2609.10750v12026
VisPlay: Self-Evolving Vision-Language Models from Images
Yicheng He, Chengsong Huang, Zongxia Li +2
cs.CVcs.AIcs.CLarXiv:2511.15661v22025
Streaming Graph Neural Networks via Continual Learning
Junshan Wang, Guojie Song, Yi Wu +1
cs.LGcs.SIstat.MLarXiv:2009.10951v22020
CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding
Wissam Ghantous, Alexander V. Mantzaris
cs.CRcs.AIcs.LGarXiv:2609.10744v12026

Machine Learning

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

AdaCliP: Adaptive Clipping for Private SGD

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

ExGRPO: Learning to Reason from Experience

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints

Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

Risk-Averse Decision Making with Multi-Level Reliability Guarantees

The Path Not Taken: RLVR Provably Learns Off the Principals

Hologram Representation via Quadratic Phase Gaussian Splatting

Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models

General Agentic Memory Via Deep Research

Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation

A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

A Two-Mirror Faceted Projection System for EUV Lithography

On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression

Learning Physics-guided Face Relighting under Directional Light

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Error Bounds of Imitating Policies and Environments

Predicting Train Delays in Finland Using Machine Learning and Weather Data

Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

Rethinking the Hyperparameters for Fine-tuning

Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting

Coherent Floquet quantum reservoirs for molecular property prediction

Diffusion Language Models are Super Data Learners

Diversity of EML-type operators

TailProp: content-adaptive light- and heavy-tailed propagation for vision

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction

The Platonic brain bridge hypothesis: human brain networks as an architectural prior for omni models

Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove

A variational physics-informed graph neural network for heterogeneous solid mechanics

Training Deeper Neural Machine Translation Models with Transparent Attention

Empirical Evaluation of Data Poisoning Attacks in Supervised Learning

ObstaDiff: Generalizable Diffusion Policy Learning via Obstacle-aware Representations

scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning

Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions

Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data

Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning

DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM Agents

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

Tree Search for Language Model Agents

Bayesian GAN

Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving

Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmark

Latent Collaboration in Multi-Agent Systems

FLEX: Continuous Agent Evolution via Forward Learning from Experience

Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error Geometry

When Synthetic Data Hurts: On Catastrophic Forgetting in Skill Retrieval for LLM Agents

VisPlay: Self-Evolving Vision-Language Models from Images

Streaming Graph Neural Networks via Continual Learning

CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding