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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27,901 to 27,960 of 33,082

Post-Training VLMs for Video Mistake Detection
Federico Spurio, Olga Zatsarynna, Lars Doorenbos +3
cs.CVcs.LGarXiv:2608.28406v12026
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci +2
cond-mat.dis-nncs.AIcs.LGarXiv:1602.06522v12016
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat +1
cs.LGcs.AIarXiv:2402.03921v22024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
David Salinas, Nick Erickson
cs.LGcs.AIarXiv:2311.02971v32023
Robust Non-Clairvoyant Scheduling with Classification Models
Anthony Dugois, Vincent Fagnon, Giorgio Lucarelli
cs.LGcs.DSarXiv:2610.01343v12026
Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
James Chua, Jan Betley, Mia Taylor +1
cs.LGcs.AIcs.CLarXiv:2506.13206v22025
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert Nowak +1
cs.LGcs.NEarXiv:2311.12424v32023
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
cs.CLcs.LGcs.SDarXiv:1707.04879v12017
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney, Rémi Munos
cs.LGcs.AIstat.MLarXiv:1707.06887v12017
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
M. Kearns, D. Litman, S. Singh +1
cs.LGcs.AIarXiv:1106.0676v12011
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan, Daniel Ramage, Kunal Talwar +1
cs.LGarXiv:1710.06963v32017
Adaptive Keyframe Sampling for Long Video Understanding
Xi Tang, Jihao Qiu, Lingxi Xie +3
cs.CVcs.AIcs.LGarXiv:2502.21271v12025
Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training
Hanna Malet, Gabriel Turinici
cs.LGcs.AImath.STarXiv:2610.01318v12026
Interpretable Imitation Learning via Generative Adversarial STL Inference and Control
Wenliang Liu, Danyang Li, Erfan Aasi +3
cs.LGcs.SYeess.SYarXiv:2402.10310v22024
Dense Structural Compression of Transformers via Gauge-Correct Channel Removal
Jed A. Duersch, Naïm Es-Sebbani, Nathanaël Haas +1
cs.LGstat.MLarXiv:2609.07264v12026
RideBench: A Large-Scale Exogenous-Aware Benchmark for Ride-Hailing Time Series Forecasting
Shengsheng Lin, Jing Hu, Zhengyang Hu +8
cs.LGarXiv:2610.11164v12026
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
stat.MLcs.LGarXiv:1705.10470v32017
Brain decoding: toward real-time reconstruction of visual perception
Yohann Benchetrit, Hubert Banville, Jean-Rémi King
eess.IVcs.AIcs.LGarXiv:2310.19812v32023
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari +10
cs.CLcs.AIcs.IRarXiv:2310.03714v12023
Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings
Lingxiao Qu
cs.LGarXiv:2609.09860v12026
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang, Roger Grosse, Sanja Fidler +1
cs.LGstat.MLarXiv:1905.05934v12019
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
Amit Singer, Mihai Cucuringu
cs.LGarXiv:0902.3846v12009
Tweet2Vec: Character-Based Distributed Representations for Social Media
Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick +2
cs.LGcs.CLarXiv:1605.03481v22016
Instrument Classification of Solo Sheet Music Images
Kevin Ji, Daniel Yang, TJ Tsai
cs.CVcs.LGcs.SDarXiv:2609.18980v12026
A nonlocal physics-informed deep learning framework using the peridynamic differential operator
Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci +1
cs.LGstat.MLarXiv:2006.00446v12020
Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal
Junlin Wang
cs.ROcs.LGarXiv:2605.27919v12026
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth, Lukas Thede, Almut Sophia Koepke +3
cs.LGcs.CVarXiv:2310.17653v22023
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
Palash Goyal, Mihir Parmar, Yiwen Song +3
cs.MAcs.AIcs.LGarXiv:2601.22638v22026
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
Yuda Song, Gokul Swamy, Aarti Singh +2
cs.LGcs.AIcs.CLarXiv:2406.01462v22024
Supervise What Decides Success: Criterion-Aligned Auxiliary Losses for Latent World-Model Planning
Takumi Hara, Kanata Suzuki
cs.LGcs.ROarXiv:2610.01224v12026
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng, Kangwook Lee
cs.LGcs.AIcs.CLarXiv:2310.17513v32023
LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs
Xiaobing Yu, Peijie Qiu, Jin Yang +5
cs.CLcs.CVcs.LGarXiv:2610.11160v12026
Optimal random quantisers for spherically symmetric distributions
Luc Pronzato, Anatoly Zhigljavsky
math.STcs.LGstat.MLarXiv:2610.11772v12026
NeST: Neuron Selective Tuning for LLM Safety
Sasha Behrouzi, Lichao Wu, Mohamadreza Rostami +1
cs.CRcs.LGarXiv:2602.16835v22026
OAT: Ordered Action Tokenization
Chaoqi Liu, Xiaoshen Han, Jiawei Gao +3
cs.ROcs.AIcs.LGarXiv:2602.04215v22026
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu, Zhiqiang Shen, Marios Savvides +1
cs.CVcs.LGeess.IVarXiv:2003.03488v22020
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein +1
cs.CLcs.AIcs.LGarXiv:2212.03827v22022
SACQ: Structured Decoding with Memory-Conditioned Refinement for Long-Horizon Forecasting
Guo Cheng, Zhengzhuo Xu, Chenchen Jing +1
cs.LGarXiv:2610.11170v12026
3D-GPT: Procedural 3D Modeling with Large Language Models
Chunyi Sun, Junlin Han, Weijian Deng +3
cs.CVcs.GRcs.LGarXiv:2310.12945v22023
REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model
Bo Li, Guanzhi Deng, Ronghao Chen +5
cs.AIcs.LGarXiv:2509.22518v12025
Contrastive Branch Policy Optimization
Ying Wang, Changlin Qiu, Bang Lin +4
cs.LGcs.AIarXiv:2608.24300v12026
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia +3
cs.LGcs.AIcs.CVarXiv:1909.09656v22019
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner, Travis Dunlop +2
cs.IRcs.LGarXiv:1808.00720v22018
Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains
S. Rasoul Etesami
cs.LGcs.GTcs.MAarXiv:2610.01181v12026
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran, Bharath Ramsundar, Aneesh S. Pappu +1
cs.LGstat.MLarXiv:1611.03199v12016
DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, Steven Skiena
cs.SIcs.LGarXiv:1403.6652v22014
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao +4
cs.IRcs.AIcs.LGarXiv:1810.11921v22018
Training Language Models with Language Feedback at Scale
Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak +4
cs.CLcs.AIcs.LGarXiv:2303.16755v32023
Hypothesis Testing for Automated Community Detection in Networks
Peter J. Bickel, Purnamrita Sarkar
stat.MLcs.LGcs.SIarXiv:1311.2694v22013
Nonparametric ridge estimation
Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli +1
math.STcs.LGstat.MLarXiv:1212.5156v32012
Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification
Géraud Faye, Benjamin Icard, Morgane Casanova +6
cs.CLcs.AIcs.LGarXiv:2402.03780v32024
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu, Ji Liu, Mohammad Ghavamzadeh +2
cs.LGstat.MLarXiv:2006.14364v22020
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
Ajay Patel, Jiacheng Zhu, Justin Qiu +4
cs.CLcs.LGarXiv:2410.12757v22024
Solving Linear Algebra by Program Synthesis
Iddo Drori, Nakul Verma
cs.LGcs.AIcs.CLarXiv:2111.08171v12021
VisText: A Benchmark for Semantically Rich Chart Captioning
Benny J. Tang, Angie Boggust, Arvind Satyanarayan
cs.CVcs.HCcs.LGarXiv:2307.05356v12023
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu +4
cs.CVcs.AIcs.LGarXiv:2601.09708v22026
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
cs.AIcs.CLcs.LGarXiv:2303.11366v42023
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan +1
cs.CVcs.AIcs.LGarXiv:2106.05969v32021
Temporally-Resolved Token Attribution Reveals the Generation Dynamics of Diffusion Language Models
Darpan Aswal, Céline Hudelot
cs.CLcs.AIcs.LGarXiv:2610.01177v12026
TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
Tianxingjian Ding, Mubarak Shah, Yu Tian
cs.CVcs.LGcs.ROarXiv:2610.09509v12026

Machine Learning

Post-Training VLMs for Video Mistake Detection

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Large Language Models to Enhance Bayesian Optimization

TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications

Robust Non-Clairvoyant Scheduling with Classification Models

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models

Looped Transformers are Better at Learning Learning Algorithms

Listening while Speaking: Speech Chain by Deep Learning

A Distributional Perspective on Reinforcement Learning

Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System

Learning Differentially Private Recurrent Language Models

Adaptive Keyframe Sampling for Long Video Understanding

Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training

Interpretable Imitation Learning via Generative Adversarial STL Inference and Control

Dense Structural Compression of Transformers via Gauge-Correct Channel Removal

RideBench: A Large-Scale Exogenous-Aware Benchmark for Ride-Hailing Time Series Forecasting

Iterative Machine Teaching

Brain decoding: toward real-time reconstruction of visual perception

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

Uniqueness of Low-Rank Matrix Completion by Rigidity Theory

Tweet2Vec: Character-Based Distributed Representations for Social Media

Instrument Classification of Solo Sheet Music Images

A nonlocal physics-informed deep learning framework using the peridynamic differential operator

Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review

The Importance of Online Data: Understanding Preference Fine-tuning via Coverage

Supervise What Decides Success: Criterion-Aligned Auxiliary Losses for Latent World-Model Planning

The Expressive Power of Low-Rank Adaptation

LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs

Optimal random quantisers for spherically symmetric distributions

NeST: Neuron Selective Tuning for LLM Safety

OAT: Ordered Action Tokenization

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

Discovering Latent Knowledge in Language Models Without Supervision

SACQ: Structured Decoding with Memory-Conditioned Refinement for Long-Horizon Forecasting

3D-GPT: Procedural 3D Modeling with Large Language Models

REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model

Contrastive Branch Policy Optimization

Understanding and Robustifying Differentiable Architecture Search

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains

Low Data Drug Discovery with One-shot Learning

DeepWalk: Online Learning of Social Representations

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Training Language Models with Language Feedback at Scale

Hypothesis Testing for Automated Community Detection in Networks

Nonparametric ridge estimation

Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification

Finite-Sample Analysis of Proximal Gradient TD Algorithms

StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples

Solving Linear Algebra by Program Synthesis

VisText: A Benchmark for Semantically Rich Chart Captioning

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Reflexion: Language Agents with Verbal Reinforcement Learning

Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation

Temporally-Resolved Token Attribution Reveals the Generation Dynamics of Diffusion Language Models

TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment