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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21,121 to 21,180 of 33,310

Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley +1
stat.MLcs.LGarXiv:1706.04987v22017
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Yifei Shen, Bo Li, Xinjie Zhang
cs.SEcs.AIcs.LGarXiv:2607.03451v12026
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
cs.LGcs.AIcs.MAarXiv:1908.03963v42019
An Algorithmic Perspective on Imitation Learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann +3
cs.ROcs.LGarXiv:1811.06711v12018
Limitations of Lazy Training of Two-layers Neural Networks
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1
stat.MLcs.LGmath.STarXiv:1906.08899v12019
Vidu S1: A Real-Time Interactive Video Generation Model
Jintao Zhang, Kai Jiang, Jintao Chen +24
cs.CVcs.LGarXiv:2607.03118v22026
Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai +3
cs.HCcs.AIcs.LGarXiv:2304.03442v22023
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
Changhai Zhou, Kieran Liu, Yuhua Zhou +17
cs.LGcs.DCarXiv:2607.14952v12026
Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad, Andrea Goldsmith
eess.SPcs.ITcs.LGarXiv:1802.02046v32018
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang +17
cs.CLcs.AIcs.LGarXiv:2203.06904v22022
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale +4
cs.LGcs.DCmath.OCarXiv:2008.03606v22020
Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution
Haohui Wang, Jiahao Xu, Wangzhi Zhan +9
cs.AIcs.CLcs.LGarXiv:2610.12345v12026
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes +3
cs.CLcs.LGarXiv:2104.06644v22021
Emotional Preferences as Goal-Priority Regulation
Shiqi Liu, Yihua Tan, Hu Fu +1
cs.LGcs.AIarXiv:2608.27072v12026
Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment
Quan Wei, Siliang Zeng, Chenliang Li +9
cs.LGarXiv:2505.11821v32025
ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
Nick Ferguson, Josh Pennington, Narek Beghian +4
cs.LGcs.AIarXiv:2602.12247v22026
CvxNet: Learnable Convex Decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani +3
cs.CVcs.GRcs.LGarXiv:1909.05736v42019
Like trainer, like bot? Inheritance of bias in algorithmic content moderation
Reuben Binns, Michael Veale, Max Van Kleek +1
cs.CYcs.CLcs.LGarXiv:1707.01477v12017
Attention Guided Graph Convolutional Networks for Relation Extraction
Zhijiang Guo, Yan Zhang, Wei Lu
cs.CLcs.LGarXiv:1906.07510v82019
Summaries:한국어
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge, Sibei Yang, Yizhou Yu
cs.CVcs.AIcs.LGarXiv:1802.09129v12018
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Hyungjin Chung, Jeongsol Kim, Sehui Kim +1
cs.CVcs.LGstat.MLarXiv:2211.10656v12022
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Shanchuan Lin, Anran Wang, Xiao Yang
cs.CVcs.AIcs.LGarXiv:2402.13929v32024
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, Stephen Tyree +2
cs.LGcs.NEarXiv:1504.04788v12015
Conditional Capacity and Routing in Mixture-of-Experts Particle Transformers
Kaushik Pendiyala, Haris Zia, Trevin Lee +8
cs.LGhep-exarXiv:2610.02701v12026
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou +100
cs.CRcs.AIcs.CLarXiv:2504.15585v42025
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
Yifeng Xiong, Jiadong Lin, Min Zhang +2
cs.LGcs.CRcs.CVarXiv:2111.10752v22021
Purified OPSD: On-Policy Self-Distillation Without Losing How to Think
Zhanming Shen, Jintao Tong, Shaotian Yan +9
cs.AIcs.LGarXiv:2607.02234v12026
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
Ang Li, Jingwei Sun, Binghui Wang +4
cs.LGcs.DCstat.MLarXiv:2008.03371v12020
Summaries:한국어
Support vector machines on the D-Wave quantum annealer
Dennis Willsch, Madita Willsch, Hans De Raedt +1
cs.LGquant-phstat.MLarXiv:1906.06283v32019
VeriFi: Towards Verifiable Federated Unlearning
Xiangshan Gao, Xingjun Ma, Jingyi Wang +5
cs.CRcs.LGarXiv:2205.12709v12022
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
Alan N. Amin, Nate Gruver, Andrew Gordon Wilson
cs.LGstat.MLarXiv:2506.08316v22025
Variational Federated Multi-Task Learning
Luca Corinzia, Ami Beuret, Joachim M. Buhmann
cs.LGstat.MLarXiv:1906.06268v22019
Vision Mamba: A Comprehensive Survey and Taxonomy
Xiao Liu, Chenxu Zhang, Lei Zhang
cs.CVcs.AIcs.CLarXiv:2405.04404v12024
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
Jintao Zhang, Jia Wei, Pengle Zhang +6
cs.LGcs.AIcs.ARarXiv:2505.11594v32025
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu, Kwan Ho Ryan Chan, Chong You +2
cs.LGcs.CVcs.ITarXiv:2006.08558v12020
Training a Scientific Reasoning Model for Chemistry
Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths +6
cs.LGarXiv:2506.17238v22025
WARP: Weight-Space Analysis for Recovering Training Data Portfolios
Tzu-Heng Huang, Aditya Goyal, John Cooper +1
cs.LGarXiv:2607.01686v12026
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle +3
cs.CLcs.AIcs.LGarXiv:2108.12084v22021
Development of Deep Learning Optimizers: Approaches, Concepts, and Update Rules
Doğay Altınel
cs.LGarXiv:2509.18396v12025
Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
cs.CLcs.AIcs.LGarXiv:2005.05339v22020
AgenticDataBench: A Comprehensive Benchmark for Data Agents
Zhaoyan Sun, Shan Zhong, Daizhou Wen +10
cs.DBcs.AIcs.CLarXiv:2607.01647v12026
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li, Jianyi Yang, Mohammad A. Islam +1
cs.LGcs.AIarXiv:2304.03271v52023
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang, Yanmin Zhu, Haobing Liu +2
cs.IRcs.LGarXiv:2108.03357v22021
The Loss Surfaces of Multilayer Networks
Anna Choromanska, Mikael Henaff, Michael Mathieu +2
cs.LGarXiv:1412.0233v32014
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan +2
cs.CLcs.LGarXiv:2010.15980v22020
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Tairan He, Jiawei Gao, Wenli Xiao +15
cs.ROcs.AIcs.LGarXiv:2502.01143v32025
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du, Qingyu Chen, Yifan Peng +3
cs.IRcs.CLcs.LGarXiv:1811.05475v22018
RoboTTT: Context Scaling for Robot Policies
Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng +8
cs.ROcs.AIcs.LGarXiv:2607.15275v12026
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk, Junru Wu +1
cs.CVcs.LGarXiv:1908.03826v12019
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
An Zeng, Chunbiao Wu, Meiping Huang +10
eess.IVcs.LGarXiv:2211.01607v22022
A Survey Of Cross-lingual Word Embedding Models
Sebastian Ruder, Ivan Vulić, Anders Søgaard
cs.CLcs.LGarXiv:1706.04902v42017
Preserving Fairness Generalization in Deepfake Detection
Li Lin, Xinan He, Yan Ju +3
cs.CVcs.CYcs.LGarXiv:2402.17229v12024
Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas
Víctor Gallego
cs.MAcs.AIcs.LGarXiv:2605.30003v12026
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li +1
cs.LGstat.MLarXiv:2006.00104v52020
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon +9
cs.AIcs.LGarXiv:2505.11289v22025
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal, Manuel Wüthrich, Đorđe Miladinović +7
stat.MLcs.LGarXiv:1906.03292v32019
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield +1
cs.CVcs.CGcs.LGarXiv:2208.01489v42022
The State-Prediction Separation Hypothesis
Giovanni Monea, Nathan Godey, Kianté Brantley +1
cs.CLcs.AIcs.LGarXiv:2607.01218v12026
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
Yinhe Zheng, Guanyi Chen, Minlie Huang
cs.CLcs.AIcs.LGarXiv:1909.03862v42019
Generated Contents Enrichment
Mahdi Naseri, Jiayan Qiu, Zhou Wang
cs.CVcs.LGarXiv:2405.03650v42024

Machine Learning

Variational Approaches for Auto-Encoding Generative Adversarial Networks

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

An Algorithmic Perspective on Imitation Learning

Limitations of Lazy Training of Two-layers Neural Networks

Vidu S1: A Real-Time Interactive Video Generation Model

Generative Agents: Interactive Simulacra of Human Behavior

LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget

Neural Network Detection of Data Sequences in Communication Systems

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Emotional Preferences as Goal-Priority Regulation

Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment

ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction

CvxNet: Learnable Convex Decomposition

Like trainer, like bot? Inheritance of bias in algorithmic content moderation

Attention Guided Graph Convolutional Networks for Relation Extraction

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Compressing Neural Networks with the Hashing Trick

Conditional Capacity and Routing in Mixture-of-Experts Particle Transformers

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Support vector machines on the D-Wave quantum annealer

VeriFi: Towards Verifiable Federated Unlearning

Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion

Variational Federated Multi-Task Learning

Vision Mamba: A Comprehensive Survey and Taxonomy

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

Training a Scientific Reasoning Model for Chemistry

WARP: Weight-Space Analysis for Recovering Training Data Portfolios

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies

Development of Deep Learning Optimizers: Approaches, Concepts, and Update Rules

Enabling Language Models to Fill in the Blanks

AgenticDataBench: A Comprehensive Benchmark for Data Agents

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

The Loss Surfaces of Multilayer Networks

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills

ML-Net: multi-label classification of biomedical texts with deep neural networks

RoboTTT: Context Scaling for Robot Policies

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

A Survey Of Cross-lingual Word Embedding Models

Preserving Fairness Generalization in Deepfake Detection

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

Meta-World+: An Improved, Standardized, RL Benchmark

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter

The State-Prediction Separation Hypothesis

Out-of-domain Detection for Natural Language Understanding in Dialog Systems

Generated Contents Enrichment