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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25,141 to 25,200 of 33,164

RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter +1
cs.LGstat.MLarXiv:2105.00303v22021
On the Security Vulnerabilities of Text-to-SQL Models
Xutan Peng, Yipeng Zhang, Jingfeng Yang +1
cs.CLcs.CRcs.DBarXiv:2211.15363v42022
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula, Benjamin LeBrun, Li Du +12
cs.CLcs.AIcs.LGarXiv:2504.13139v22025
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu, Nikita Dvornik, Klaus Greff +2
cs.CVcs.AIcs.LGarXiv:2210.05861v22022
Model Complexity of Deep Learning: A Survey
Xia Hu, Lingyang Chu, Jian Pei +2
cs.LGcs.AIarXiv:2103.05127v22021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
Abhishek Gupta, Justin Yu, Tony Z. Zhao +5
cs.LGcs.ROarXiv:2104.11203v12021
ChemGraph: An Agentic Framework for Computational Chemistry Workflows
Thang D. Pham, Aditya Tanikanti, Murat Keçeli
physics.chem-phcond-mat.mtrl-scics.AIarXiv:2506.06363v12025
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu +5
cs.CVcs.LGstat.MLarXiv:1809.04184v12018
SciFive: a text-to-text transformer model for biomedical literature
Long N. Phan, James T. Anibal, Hieu Tran +4
cs.CLcs.AIcs.LGarXiv:2106.03598v12021
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin, Yanbo Fan, Yi Liu +4
cs.CVcs.CRcs.LGarXiv:2210.05968v12022
Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation
Geonho Leem, Jaedong Lee, Jehee Lee +2
cs.ROcs.GRcs.LGarXiv:2601.22550v12026
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech, Runlong Zhou, Simon S. Du +3
cs.LGstat.MLarXiv:2104.11186v22021
Learning Dexterous In-Hand Manipulation
OpenAI, Marcin Andrychowicz, Bowen Baker +14
cs.LGcs.AIcs.ROarXiv:1808.00177v52018
TV2TV: A Unified Framework for Interleaved Language and Video Generation
Xiaochuang Han, Youssef Emad, Melissa Hall +15
cs.LGcs.AIcs.CLarXiv:2512.05103v22025
Learning PDE Time-Stepping with Neural Cellular Automata
Esha Saha, Hao Wang
cs.LGstat.MLarXiv:2608.30328v12026
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan, Lingxiao Zhao +3
cs.LGstat.MLarXiv:2006.11468v22020
QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin +5
quant-phcs.AIcs.LGarXiv:2512.05049v22025
U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow
Gege Wen, Zongyi Li, Kamyar Azizzadenesheli +2
physics.geo-phcs.LGarXiv:2109.03697v32021
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel, Jonas Rauber, Matthias Bethge
stat.MLcs.CRcs.CVarXiv:1712.04248v22017
Safe-by-Design Learning via Energy-based Neural Networks
Simone Betteti, Morteza Lahijanian, Luca Laurenti
cs.LGcs.AIcs.SYarXiv:2609.36942v12026
It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories
Yigit Utku Bulut
cs.LGcs.AIcs.CLarXiv:2609.03436v12026
Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought Reasoning
Yuwen Hao, Menglin Yang
cs.LGarXiv:2609.07406v12026
TTS-Q: Perception-Guided Post-Training Quantization of Text-to-Speech Diffusion Transformers
Xiaoqin Feng, Yuqi Li, Weilun Feng +9
cs.SDcs.LGeess.ASarXiv:2610.12474v12026
Measuring the Symmetry--Data Exchange Rate
Ahmed M. Adly
stat.MEcs.LGarXiv:2606.01090v12026
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval, Fragkiskos D. Malliaros
cs.LGarXiv:2104.10482v22021
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan +3
cs.LGcs.AIcs.CVarXiv:2302.02515v22023
Pseudo-Simulation for Autonomous Driving
Wei Cao, Marcel Hallgarten, Tianyu Li +11
cs.ROcs.AIcs.CVarXiv:2506.04218v32025
Dynamic Pricing in High-dimensions
Adel Javanmard, Hamid Nazerzadeh
stat.MLcs.LGarXiv:1609.07574v42016
Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation
Taejun Kim, Wonil Kim, Jongmin Jung +10
cs.SDcs.LGeess.ASarXiv:2610.09637v12026
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
Jinxi Li, Ziyang Song, Bo Yang
cs.CVcs.AIcs.GRarXiv:2312.06398v12023
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah
cs.LGcs.DScs.HCarXiv:1110.3564v42011
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding, Siyu Liao, Yanzhi Wang +13
cs.CVcs.AIcs.LGarXiv:1708.08917v12017
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang, Xingxing Zhang, Benyou Wang +1
cs.CLcs.AIcs.LGarXiv:2403.02884v12024
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo +8
cs.ROcs.LGarXiv:2108.10470v22021
Coding-Agent Benchmarks Should Match Their Users' Task Flows
Igor Slinko, Yaroslav Golubev, Sergey Titov
cs.LGcs.AIcs.CLarXiv:2610.09633v12026
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu, Rong Jin, Sen Yang
math.OCcs.LGarXiv:1905.03817v12019
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu +6
q-bio.QMcs.LGarXiv:2107.10670v12021
Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
Jiahao Wang, Yijun Wang, Nan Fang +1
cs.LGarXiv:2609.00896v12026
ExplainaBoard: An Explainable Leaderboard for NLP
Pengfei Liu, Jinlan Fu, Yang Xiao +7
cs.CLcs.LGarXiv:2104.06387v22021
A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains
Xinyi Shan
cs.LGarXiv:2608.15809v12026
Training Diffusion Policies via Prior-Mapping Co-Evolution
Chubin Zhang, Zhenglin Wan, Feng Chen +7
cs.LGarXiv:2512.02581v32025
Artificial intelligence surrogates for treatment effect estimation with before-and-after data
Frances Dean, Anna Neufeld, Joshua Barrios +2
stat.MLcs.LGarXiv:2609.27180v12026
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
cs.ROcs.AIcs.CLarXiv:2210.05714v42022
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma +4
cs.AIcs.LGarXiv:2106.06135v12021
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
Shubhang Bhatnagar, Dheeraj Baiju, Narendra Ahuja
cs.CVcs.AIcs.LGarXiv:2606.15134v12026
Failing to Explore: Language Models on Interactive Tasks
Mahdi JafariRaviz, Keivan Rezaei, Arshia Soltani Moakhar +3
cs.LGarXiv:2601.22345v12026
Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities
Hassan Ismkhan, Hamid Bouchahcia
cs.ROcs.LGarXiv:2606.15514v12026
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer, Matthias Bauer, Vincent Fortuin +2
stat.MLcs.LGarXiv:2104.04975v32021
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis
cs.NEcs.LGmath.NAarXiv:2003.05385v12020
Zephon: Elastic Determinism for Online, Stateful Foundation Model Data Loading Pipelines
Maximilian Böther, Josh Wills, Ties Robroek +14
cs.LGcs.AIcs.DBarXiv:2610.03087v12026
Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment
Yeqing Qiu, Chengpiao Huang, Ye Xue +7
cs.LGeess.SParXiv:2608.21485v12026
Lightweight and Versatile Learned Optimization by Recombination of Gradient History
Minyoung Choi, Dalta Imam Maulana, Wanyeong Jung
cs.LGarXiv:2610.09604v12026
Evaluating Digital Agriculture Recommendations with Causal Inference
Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou +5
cs.LGcs.AIarXiv:2211.16938v12022
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
cs.LGcs.CCcs.CLarXiv:2404.08819v32024
Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache +7
physics.comp-phcs.LGarXiv:2608.25448v12026
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin, David J Wu, Adam Lerer +5
cs.GTcs.AIcs.LGarXiv:2210.05492v12022
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe +6
cs.AIcs.CLcs.LGarXiv:2609.31619v12026
On the Exploitability of Instruction Tuning
Manli Shu, Jiongxiao Wang, Chen Zhu +3
cs.CRcs.CLcs.LGarXiv:2306.17194v22023
GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
Denis Pavlov, Ulanbek Abdurazakov, Nursultan Bakashov
eess.AScs.CLcs.LGarXiv:2609.04222v12026

Machine Learning

RATT: Leveraging Unlabeled Data to Guarantee Generalization

On the Security Vulnerabilities of Text-to-SQL Models

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

Model Complexity of Deep Learning: A Survey

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention

ChemGraph: An Agentic Framework for Computational Chemistry Workflows

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

SciFive: a text-to-text transformer model for biomedical literature

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation

Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

Learning Dexterous In-Hand Manipulation

TV2TV: A Unified Framework for Interleaved Language and Video Generation

Learning PDE Time-Stepping with Neural Cellular Automata

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory

U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Safe-by-Design Learning via Energy-based Neural Networks

It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories

Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought Reasoning

TTS-Q: Perception-Guided Post-Training Quantization of Text-to-Speech Diffusion Transformers

Measuring the Symmetry--Data Exchange Rate

GraphSVX: Shapley Value Explanations for Graph Neural Networks

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey

Pseudo-Simulation for Autonomous Driving

Dynamic Pricing in High-dimensions

Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos

Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Coding-Agent Benchmarks Should Match Their Users' Task Flows

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics

ExplainaBoard: An Explainable Leaderboard for NLP

A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains

Training Diffusion Policies via Prior-Mapping Co-Evolution

Artificial intelligence surrogates for treatment effect estimation with before-and-after data

Visual Language Maps for Robot Navigation

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings

Failing to Explore: Language Models on Interactive Tasks

Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities

Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition

Zephon: Elastic Determinism for Online, Stateful Foundation Model Data Loading Pipelines

Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment

Lightweight and Versatile Learned Optimization by Recombination of Gradient History

Evaluating Digital Agriculture Recommendations with Causal Inference

The Illusion of State in State-Space Models

Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

On the Exploitability of Instruction Tuning

GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue