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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6,841 to 6,900 of 20,199

VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin, Yuejiao Sun +1
cs.LGcs.DCmath.OCarXiv:2007.06081v12020
SecAlign: Defending Against Prompt Injection with Preference Optimization
Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar +3
cs.CRcs.LGarXiv:2410.05451v32024
Improved Mean Flows: On the Challenges of Fastforward Generative Models
Zhengyang Geng, Yiyang Lu, Zongze Wu +3
cs.CVcs.LGarXiv:2512.02012v22025
A Time-Vertex Signal Processing Framework
Francesco Grassi, Andreas Loukas, Nathanaël Perraudin +1
cs.LGarXiv:1705.02307v12017
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
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan +1
stat.MLcs.LGarXiv:1803.00212v22018
RWKV-7 "Goose" with Expressive Dynamic State Evolution
Bo Peng, Ruichong Zhang, Daniel Goldstein +15
cs.CLcs.AIcs.LGarXiv:2503.14456v22025
Independent Policy Gradient Methods for Competitive Reinforcement Learning
Constantinos Daskalakis, Dylan J. Foster, Noah Golowich
cs.LGarXiv:2101.04233v12021
Computing stable configurations of confined smectic liquid crystals with a deep variational framework
Yuchen Xie, Baoming Shi, Yucen Han +1
cond-mat.softcs.LGarXiv:2609.03389v12026
MambaIRv2: Attentive State Space Restoration
Hang Guo, Yong Guo, Yaohua Zha +5
eess.IVcs.CVcs.LGarXiv:2411.15269v22024
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu +1
cs.AIcs.LGstat.MLarXiv:1704.07926v12017
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson, Chuan Guo, Graham Cormode +1
cs.CRcs.LGarXiv:2111.08440v22021
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Zhiyuan Liu, Yicun Yang, Yaojie Zhang +6
cs.LGcs.AIcs.CLarXiv:2506.06295v32025
Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting
Tao Xiong, Yukun Bao, Zhongyi Hu
cs.CEcs.LGq-fin.STarXiv:1401.1916v12014
Mutual Information, Neural Networks and the Renormalization Group
Maciej Koch-Janusz, Zohar Ringel
cond-mat.dis-nncond-mat.stat-mechcs.ITarXiv:1704.06279v22017
Multiple decision trees
Suk Wah Kwok, Chris Carter
cs.LGcs.AIstat.MLarXiv:1304.2363v12013
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Räuker, Anson Ho, Stephen Casper +1
cs.LGcs.AIcs.CLarXiv:2207.13243v62022
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
NVIDIA, :, Alisson Azzolini +51
cs.AIcs.CVcs.LGarXiv:2503.15558v32025
Illiterate DALL-E Learns to Compose
Gautam Singh, Fei Deng, Sungjin Ahn
cs.CVcs.LGarXiv:2110.11405v32021
On the Effects of Data Scale on UI Control Agents
Wei Li, William Bishop, Alice Li +4
cs.AIcs.LGarXiv:2406.03679v62024
Nested Learning: The Illusion of Deep Learning Architectures
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong +1
cs.LGcs.AIarXiv:2512.24695v12025
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto, Romain Mueller, Konstantinos Tertikas +2
cs.CVcs.LGarXiv:1912.09393v22019
Evaluation and Benchmarking of LLM Agents: A Survey
Mahmoud Mohammadi, Yipeng Li, Jane Lo +1
cs.LGcs.AIarXiv:2507.21504v12025
mHC: Manifold-Constrained Hyper-Connections
Zhenda Xie, Yixuan Wei, Huanqi Cao +17
cs.CLcs.AIcs.LGarXiv:2512.24880v22025
The Diffusion Duality
Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan +3
cs.LGcs.AIcs.CLarXiv:2506.10892v32025
Foundation Models Meet Agriculture: Challenges Beyond Pretraining
Vishal Nedungadi, Xingguo Xiong, Marc Rußwurm +1
cs.LGarXiv:2608.30392v12026
When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?
Yansen Han, Hongxin Sun, Tao Lin
cs.LGcs.AIarXiv:2608.28010v12026
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
Jing Gu, Eliana Stefani, Qi Wu +2
cs.CVcs.AIcs.CLarXiv:2203.12667v32022
Soft Adaptive Policy Optimization
Chang Gao, Chujie Zheng, Xiong-Hui Chen +7
cs.LGcs.AIcs.CLarXiv:2511.20347v22025
ARCHER: Amortized cross-specimen pose estimation for cryo-electron microscopy
Nhan D. Nguyen, Bao Pham
cs.LGmath-phq-bio.BMarXiv:2608.22029v12026
NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution
Anjun Gao, Yueyang Quan, Yufei Xia +2
cs.CRcs.AIcs.IRarXiv:2608.23959v12026
Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
Seunghan Lee, Hyunsik Yoo, Jian Kang +2
cs.AIcs.LGarXiv:2608.22920v12026
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:2609.00774v12026
Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning
Varun Giridhar, Anant Khandelwal, Jeremy A. Collins +2
cs.ROcs.LGarXiv:2608.21204v12026
MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning
Xukun Luan, Jinyan Liu, Yuhui Gong +4
cs.CRcs.LGarXiv:2608.17722v12026
Online Generalized Sparse Regression: How Does Overparametrization Help?
Shuoguang Yang, Qiang Sun
stat.MLcs.LGmath.STarXiv:2608.17466v12026
On the Pseudo-Mixing of Kac's Walk
Natesh S. Pillai, Aaron Smith, Vinod Vaikuntanathan
math.PRcs.CRcs.LGarXiv:2608.17374v12026
Learning to Price with Persuasion
Maria-Florina Balcan, Tejas Pagare, Karan Singh
cs.GTcs.LGecon.THarXiv:2608.16699v12026
Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis
Yicheng Kang, Yuling Jiao, Xin Geng +1
stat.MLcs.LGarXiv:2608.13937v12026
Toward Optimal Second-Order Path-Length Guarantee for Adversarial Multi-Armed Bandits
Mengxiao Zhang
cs.LGarXiv:2608.15996v12026
KOALA: Koopman Operator Learning for WiFi-Based Anticipatory Hum
Quang-Anh N. D., Duc Pham Minh, Thao Phuong Pham +3
cs.LGarXiv:2608.15815v12026
Optimal Lower Bounds for Networked Information Aggregation
Ambar Pal
cs.LGcs.AIstat.MLarXiv:2608.15472v12026
Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads
Anubhab Banerjee
cs.AIcs.DCcs.LGarXiv:2608.15117v12026
Lipschitz Bandits with Arbitrary Feedback Delays
Yuhao Liu, Yu Chen, Longbo Huang
cs.LGarXiv:2608.15036v12026
KV Cache Compression Through the Lens of Transform Coding
Hannah Laus, Claudio Mayrink Verdun, Hao Wang +2
cs.LGcs.CLeess.SParXiv:2608.14191v12026
Learning to Run Power Networks: Effective AlphaZero-inspired Topological Control
Lukas Zetto, Benjamin Schäfer, Qiong Huang
cs.LGarXiv:2608.14114v12026
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions
Qinglin Yang, Chen Qiu, Hongyuan Zhang +3
cs.LGcs.AIcs.DCarXiv:2608.13844v12026
PPAPlace: Differentiable Cross-Stage Objectives for Chip Placement Optimization
Ruogu Chen, Jie Han
cs.LGcs.AIcs.ARarXiv:2608.13790v12026
Modular TTT: Rethinking Test-Time Training as Composable Modules
Bohao Tang, Zhen Qin, Yuqi Pan +3
cs.LGcs.CLarXiv:2608.07110v12026
$β$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation
Jiawei Xu, Minghui Liu, Juzheng Zhang +2
cs.LGarXiv:2607.28582v12026
Length Penalties Make Chain-of-Thought Less Monitorable
Bryce Little
cs.AIcs.CLcs.LGarXiv:2607.09786v32026
Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
Zixin Ding, Shaghayegh Emami, Giovanna Salvi +7
cs.LGcs.AIhep-exarXiv:2606.23993v32026
Comparing Linear Probes with Mahalanobis Cosine Similarity
Zhuofan Josh Ying, Peter Hase, Nikolaus Kriegeskorte
cs.LGarXiv:2606.19603v12026
STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
Haipeng Luo, Qingfeng Sun, Songli Wu +4
cs.LGcs.AIcs.CLarXiv:2606.19236v12026
MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
Ziyan Liu, Chengshuai Zhao, Huan Liu
cs.LGarXiv:2609.00696v22026
Can Generalist Agents Automate Data Curation?
Feiyang Kang, Hanze Li, Adam Nguyen +5
cs.AIcs.CLcs.CVarXiv:2606.04261v12026
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
Jing Huang, Daniel Wurgaft, Rachit Bansal +6
cs.LGarXiv:2605.29548v22026
Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models
Mingze Wang, Shuchen Zhu, Yuxin Fang +3
cs.LGcs.AIstat.MLarXiv:2605.26895v12026
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +1
cs.LGcs.ITcs.MAarXiv:2002.06215v22020
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
Shuhong Zheng, Michael Oechsle, Erik Sandström +3
cs.CVcs.AIcs.GRarXiv:2605.23892v12026

Machine Learning

VAFL: a Method of Vertical Asynchronous Federated Learning

SecAlign: Defending Against Prompt Injection with Preference Optimization

Improved Mean Flows: On the Challenges of Fastforward Generative Models

A Time-Vertex Signal Processing Framework

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

prDeep: Robust Phase Retrieval with a Flexible Deep Network

RWKV-7 "Goose" with Expressive Dynamic State Evolution

Independent Policy Gradient Methods for Competitive Reinforcement Learning

Computing stable configurations of confined smectic liquid crystals with a deep variational framework

MambaIRv2: Attentive State Space Restoration

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood

On the Importance of Difficulty Calibration in Membership Inference Attacks

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting

Mutual Information, Neural Networks and the Renormalization Group

Multiple decision trees

Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Illiterate DALL-E Learns to Compose

On the Effects of Data Scale on UI Control Agents

Nested Learning: The Illusion of Deep Learning Architectures

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

Evaluation and Benchmarking of LLM Agents: A Survey

mHC: Manifold-Constrained Hyper-Connections

The Diffusion Duality

Foundation Models Meet Agriculture: Challenges Beyond Pretraining

When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?

Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions

Soft Adaptive Policy Optimization

ARCHER: Amortized cross-specimen pose estimation for cryo-electron microscopy

NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution

Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation

Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning

MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning

Online Generalized Sparse Regression: How Does Overparametrization Help?

On the Pseudo-Mixing of Kac's Walk

Learning to Price with Persuasion

Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis

Toward Optimal Second-Order Path-Length Guarantee for Adversarial Multi-Armed Bandits

KOALA: Koopman Operator Learning for WiFi-Based Anticipatory Hum

Optimal Lower Bounds for Networked Information Aggregation

Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads

Lipschitz Bandits with Arbitrary Feedback Delays

KV Cache Compression Through the Lens of Transform Coding

Learning to Run Power Networks: Effective AlphaZero-inspired Topological Control

Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions

PPAPlace: Differentiable Cross-Stage Objectives for Chip Placement Optimization

Modular TTT: Rethinking Test-Time Training as Composable Modules

$β$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

Length Penalties Make Chain-of-Thought Less Monitorable

Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Comparing Linear Probes with Mahalanobis Cosine Similarity

STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability

MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks

Can Generalist Agents Automate Data Curation?

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention

Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers