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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23,281 to 23,340 of 33,324

Foundation Models for Decision Making: Problems, Methods, and Opportunities
Sherry Yang, Ofir Nachum, Yilun Du +3
cs.AIcs.LGarXiv:2303.04129v12023
Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1206.4617v12012
Online Control via Counterfactual Tracking
Yunzong Xu
math.OCcs.LGcs.SYarXiv:2607.13029v22026
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Zhouxia Wang, Ziyang Yuan, Xintao Wang +4
cs.CVcs.AIcs.LGarXiv:2312.03641v22023
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian +1
physics.ao-phcs.LGnlin.CDarXiv:1909.04711v12019
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu, Yuan Gao, Zhangming Niu +9
eess.IVcs.CVcs.LGarXiv:2004.06689v12020
Variational Intrinsic Control
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
cs.LGcs.AIarXiv:1611.07507v12016
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang +7
cs.CVcs.GRcs.LGarXiv:2211.10440v22022
Chaos as an interpretable benchmark for forecasting and data-driven modelling
William Gilpin
cs.LGeess.SPnlin.CDarXiv:2110.05266v22021
SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning
Jaewan Choi, Junyoung Yang, Sangdon Park
cs.LGarXiv:2608.16249v12026
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
cs.LGcs.NEstat.MLarXiv:1711.05772v22017
Interpretation and Generalization of Score Matching
Siwei Lyu
cs.LGstat.MLarXiv:1205.2629v12012
When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling
Yong Yi Bay, Kathleen A. Yearick
cs.LGcs.AIcs.CLarXiv:2606.28661v12026
BCMT: Blockwise Causal Memory Transformer
Rachid Arezki
cs.CLcs.AIcs.LGarXiv:2608.13578v12026
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal +2
cs.LGstat.MLarXiv:1610.09512v22016
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
Lavender Y. Jiang, Angelica Chen, Xu Han +16
cs.CLcs.AIcs.LGarXiv:2511.13703v12025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs
Hui Sun, Shiyin Lu, Huanyu Wang +5
cs.CVcs.LGarXiv:2501.02885v22025
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Xingyu Liu, Rico Jonschkowski, Anelia Angelova +1
cs.CVcs.LGcs.ROarXiv:1912.02805v22019
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian, Eshaan Nichani, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2209.15594v22022
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac +1
eess.SPcs.HCcs.LGarXiv:2004.08821v22020
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust, Oscar Ramirez, Marek Fiser +4
cs.AIcs.LGcs.ROarXiv:1710.03937v22017
Decomposing LLM-Judge Uncertainty to Target Expert Labels
Ryan Lail
cs.CLcs.LGarXiv:2609.06444v32026
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
Shi-ang Qi, Vahid Balazadeh, Michael Cooper +2
cs.LGstat.MLarXiv:2605.15488v12026
Spectral Weight Decay: Inducing Low-Rank Structure in Neural Network Weights
Dmitrii Andriianov, Andrey Veprikov, Aleksandr Beznosikov
cs.LGmath.OCarXiv:2610.11730v12026
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri, Heinrich Jiang, Yi Tay +1
cs.LGcs.AIarXiv:2106.15147v22021
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection
Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier +3
eess.IVcs.CVcs.LGarXiv:2006.09158v12020
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei +3
cs.DCcs.CLcs.LGarXiv:2610.13325v12026
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He +1
cs.LGcs.CVcs.SIarXiv:2007.06559v22020
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu +13
cs.LGcs.AIcs.IRarXiv:2304.05055v32023
Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibility
Harshit Gupta
cs.DBcs.IRcs.LGarXiv:2609.04269v12026
DAG Structure Learning with Node-Varying Heavy-Tailed Disturbances
Robin Francis, Sundeep Prabhakar Chepuri
cs.LGarXiv:2610.13304v12026
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio
Jingcheng Ni, Zekun Li, Zhiyang Dou +6
cs.CVcs.GRcs.LGarXiv:2610.13300v12026
From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection
Zhibo Hou, Fan Zhao, Zhiyu An +1
cs.CLcs.LGarXiv:2608.25243v12026
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou, Quan Cui, Xiu-Shen Wei +1
cs.CVcs.LGarXiv:1912.02413v42019
ProToMEx: Rapid, Interpretable Explanations via Structured Representations
Athina Georgara, Adarsh Valoor, Sarvapali D. Ramchurn
cs.LGcs.AIarXiv:2609.04265v12026
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi +1
stat.MLcs.DCcs.ITarXiv:1711.04969v22017
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana, Seiichi Uchida
cs.LGstat.MLarXiv:2004.08780v12020
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong, Zhao Song, Prateek Jain +2
cs.LGcs.DSstat.MLarXiv:1706.03175v12017
Training GANs with Optimism
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis +1
cs.LGcs.GTstat.MLarXiv:1711.00141v22017
Patent Claim Generation by Fine-Tuning OpenAI GPT-2
Jieh-Sheng Lee, Jieh Hsiang
cs.CLcs.LGstat.MLarXiv:1907.02052v12019
TxGemma: Efficient and Agentic LLMs for Therapeutics
Eric Wang, Samuel Schmidgall, Paul F. Jaeger +6
cs.AIcs.CLcs.LGarXiv:2504.06196v12025
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Zachary Charles +3
stat.MLcs.DCcs.LGarXiv:1806.04090v32018
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz, Steven Lang, Antonio Vergari +6
cs.LGstat.MLarXiv:2004.06231v22020
Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning
Xi Zhang, Boyu Diao, Zesen Chen +3
cs.LGarXiv:2610.13215v12026
Predicting integers from continuous parameters
Bas Maat, Peter Bloem
cs.LGarXiv:2602.10751v32026
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu, Larry Davis, Mario Fritz
cs.CVcs.CRcs.CYarXiv:1811.08180v32018
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao +1
cs.IRcs.LGcs.SIarXiv:1905.13129v12019
Disentangling factors of variation in deep representations using adversarial training
Michael Mathieu, Junbo Zhao, Pablo Sprechmann +2
cs.LGstat.MLarXiv:1611.03383v12016
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
cs.LGcs.AIcs.ROarXiv:2110.05038v32021
Transductive Rademacher Complexity and its Applications
Ran El-Yaniv, Dmitry Pechyony
cs.LGcs.AIstat.MLarXiv:1401.3441v12014
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole +3
cs.CVcs.LGarXiv:2005.10243v32020
Image Diffusion Preview with Consistency Solver
Fu-Yun Wang, Hao Zhou, Liangzhe Yuan +8
cs.LGcs.CVarXiv:2512.13592v22025
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Ruijun Xu
cs.LGcs.AIcs.CVarXiv:1907.01845v52019
Phase Marginalization for Patch-Grid Instability in Vision Transformers
Oğuzhan Ercan
cs.CVcs.LGarXiv:2606.08132v12026
Block-Sparse Recurrent Neural Networks
Sharan Narang, Eric Undersander, Gregory Diamos
cs.LGcs.AIstat.MLarXiv:1711.02782v12017
Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope
Matthew Loftus
cs.LGcond-mat.stat-mechmath.ATarXiv:2609.09159v12026
Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders
Claudio Scardino, Stefano Riva, Carolina Introini +4
physics.comp-phcs.LGphysics.flu-dynarXiv:2608.28366v12026
e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur, Matthew Y. R. Yang, Charlie Snell +5
cs.LGcs.CLarXiv:2506.09026v22025
FwdLLM: Efficient FedLLM using Forward Gradient
Mengwei Xu, Dongqi Cai, Yaozong Wu +2
cs.AIcs.LGarXiv:2308.13894v22023
Word Embedding Visualization Via Dictionary Learning
Juexiao Zhang, Yubei Chen, Brian Cheung +1
cs.CLcs.LGarXiv:1910.03833v22019

Machine Learning

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Continuous Inverse Optimal Control with Locally Optimal Examples

Online Control via Counterfactual Tracking

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

Variational Intrinsic Control

Magic3D: High-Resolution Text-to-3D Content Creation

Chaos as an interpretable benchmark for forecasting and data-driven modelling

SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Interpretation and Generalization of Score Matching

When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling

BCMT: Blockwise Causal Memory Transformer

Contextual Decision Processes with Low Bellman Rank are PAC-Learnable

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations

MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

Decomposing LLM-Judge Uncertainty to Target Expert Labels

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference

Spectral Weight Decay: Inducing Low-Rank Structure in Neural Network Weights

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Taking Tokenization off the Host for Agentic LLM Serving

Graph Structure of Neural Networks

A Comprehensive Survey on Deep Graph Representation Learning

Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibility

DAG Structure Learning with Node-Varying Heavy-Tailed Disturbances

Sonic-AMG: Streaming Human Motion Generation from Spatial Audio

From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

ProToMEx: Rapid, Interpretable Explanations via Structured Representations

Straggler Mitigation in Distributed Optimization Through Data Encoding

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

Recovery Guarantees for One-hidden-layer Neural Networks

Training GANs with Optimism

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

TxGemma: Efficient and Agentic LLMs for Therapeutics

ATOMO: Communication-efficient Learning via Atomic Sparsification

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning

Predicting integers from continuous parameters

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Disentangling factors of variation in deep representations using adversarial training

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Transductive Rademacher Complexity and its Applications

What Makes for Good Views for Contrastive Learning?

Image Diffusion Preview with Consistency Solver

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

Phase Marginalization for Patch-Grid Instability in Vision Transformers

Block-Sparse Recurrent Neural Networks

Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope

Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs

FwdLLM: Efficient FedLLM using Forward Gradient

Word Embedding Visualization Via Dictionary Learning