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.

Search paper metadata (including unsummarized papers)

6,721 to 6,780 of 20,219

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
cs.LGcs.CLcs.DCarXiv:2007.06225v32020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
cs.DCcs.LGarXiv:2004.00773v12020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan, Yang Guan, Shengbo Eben Li +2
cs.LGcs.AIeess.SYarXiv:2001.02811v32020
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
eess.SPcs.LGstat.MLarXiv:1908.06847v42019
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang, Han Liu, Qimai Li +1
cs.LGcs.AIstat.MLarXiv:1906.01210v12019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
cs.LGcs.HCeess.SParXiv:1905.07039v12019
BCIJelly: An integrated ecosystem for brain-computer interface research
Liyuan Han, Xinrui Yang, Tianyu Zheng +12
cs.HCcs.LGq-bio.NCarXiv:2608.13576v12026
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J. Saykin
eess.IVcs.LGstat.MLarXiv:1905.00931v42019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Sebastian Raschka
cs.LGstat.MLarXiv:1811.12808v32018
Deep Reinforcement Learning for Resource Management in Network Slicing
Rongpeng Li, Zhifeng Zhao, Qi Sun +5
cs.NIcs.LGarXiv:1805.06591v32018
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Mehul Damani, Isha Puri, Stewart Slocum +4
cs.LGcs.AIcs.CLarXiv:2507.16806v22025
Tensor Decomposition for Signal Processing and Machine Learning
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu +3
stat.MLcs.LGmath.NAarXiv:1607.01668v22016
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
Soroush Nasiriany, Sepehr Nasiriany, Abhiram Maddukuri +1
cs.ROcs.AIcs.LGarXiv:2603.04356v12026
TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System
Yanjie Ze, Siheng Zhao, Weizhuo Wang +6
cs.ROcs.CVcs.LGarXiv:2511.02832v12025
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Alex Cloud, Minh Le, James Chua +5
cs.LGcs.AIarXiv:2507.14805v12025
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
John R. Hershey, Jonathan Le Roux, Felix Weninger
cs.LGcs.NEstat.MLarXiv:1409.2574v42014
Do generative video models understand physical principles?
Saman Motamed, Laura Culp, Kevin Swersky +2
cs.CVcs.AIcs.GRarXiv:2501.09038v32025
Language-encoded network topology enables large language models to reason about complex networks
Ucchwas Talukder Utsha, Sakib Mostafa, James Zou +1
cs.LGarXiv:2609.03229v12026
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1810.08700v22018
Restricted Eigenvalues Beyond Gaussian Width: Threshold Occupancy under Heavy Tails
Shi Fu, Huibo Xu, Qixin Zhang +1
cs.LGarXiv:2609.03504v12026
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer +1
cs.CVcs.LGq-bio.NCarXiv:2009.00564v22020
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu +2
cs.LGarXiv:2306.06955v32023
A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds
Ashir Javeed, Anton Borg, Håkan Grahn +3
cs.LGarXiv:2609.03457v12026
Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation
Zhiwei Zhang, Zechen Sun, Fei Zhao +6
cs.LGcs.AIcs.CLarXiv:2609.02998v12026
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
cs.HCcs.LGarXiv:2004.01973v12020
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
Kaiyuan Chen, Yixin Ren, Yang Liu +30
cs.LGarXiv:2506.13651v12025
Agentic Empirical Asset Pricing: Methodological Foundations
Yingjian Pan, Xiaowei Ding, Kay Giesecke
cs.AIcs.LGq-fin.STarXiv:2609.00731v12026
Summaries:한국어
A Comparative Study of Label-free Representation Quality Metrics in Deep Learning
Daniel Richards Arputharaj, Daniel Jönsson, Gabriel Eilertsen
cs.LGcs.CVarXiv:2608.23182v12026
Training Alignment Auditors via Reinforcement Learning
Paul Rosu, Rowan Wang
cs.AIcs.LGarXiv:2608.25460v12026
Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning
Lars van der Laan, Nathan Kallus
cs.LGstat.MLarXiv:2608.24858v12026
Functional compatibility as a determinant of persistent neural learning
Hossein Javidnia
cs.LGcs.AIarXiv:2608.22462v22026
RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling
Ziyuan Wang, Bohao Tang, Fei Zhang +2
cs.LGq-bio.GNarXiv:2608.22849v12026
Self-Evolving Curriculum for LLM Reasoning
Xiaoyin Chen, Jiarui Lu, Minsu Kim +6
cs.AIcs.LGarXiv:2505.14970v42025
The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search
Peiyang Liu, Xi Wang, Di Liang +1
cs.LGcs.CLcs.IRarXiv:2608.23252v12026
Length-Adaptive Decoding for Masked Diffusion Machine Translation
Yan Zhan, Mengkai Hou, Wanting Zhang +1
cs.CLcs.AIcs.LGarXiv:2608.22274v12026
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth
Josef Chen, Erim Hayretci
cs.AIcs.CYcs.LGarXiv:2608.20574v12026
SparseGS: Sparse View Synthesis using 3D Gaussian Splatting
Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +4
cs.CVcs.LGeess.IVarXiv:2312.00206v42023
Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings
Yubo Wang, Shujie Cui, James Bailey +5
cs.LGcs.AIcs.CRarXiv:2608.18610v12026
Physics-Unrolled Neural Operator for Wireless Field Modeling
Rafid Umayer Murshed, Saif Ur Rahman, Mingyue Tang +1
cs.LGcs.AIarXiv:2608.18495v12026
Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
Mahdi Saberi, Yaşar Utku Alçalar, Merve Gülle +2
eess.IVcs.AIcs.CVarXiv:2608.18036v12026
CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated?
Jonathan Sadeghi, Jenny Seidenschwarz, Jesse Allardice +3
cs.LGcs.AIarXiv:2608.16829v12026
Reference-free logged energy-oracle recovery for neural approximations of symmetric coercive variational problems: conforming Riesz reconstruction and archive-level selection
Karim Bounja, Lahcen Laayouni, Boujemaa Achchab +1
cs.LGmath.NAarXiv:2608.16473v12026
Asymptotics-guided learning and symbolic regression for dispersive resonances
Konstantinos Alexopoulos, Josselin Garnier
math.NAcs.LGmath-pharXiv:2608.16152v12026
QuantumPhaseNet: A Gauge-Covariant Geometric and Quantum-Spectral Theory of Semantic Concept Hierarchies with Prototype Validation of a Classical Quantum-Inspired Model
Kiyotaka Kasubuchi, Kazuo Fukiya
cs.CLcs.LGarXiv:2608.15820v12026
Data-driven techniques for translational neuroscience and personalized neuro-health
Vishal Subedi, Shashipraba N. K. Rajakaruna, Pratyusha Sarkar +10
q-bio.NCcs.AIcs.LGarXiv:2608.13749v12026
A Reproducibility Study of Partial Residual Ablations in Pre-LN Transformers
Pratikkumar Babariya
cs.LGarXiv:2608.14689v12026
iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
Xiaowei Jiang, Daniel Leong, Beining Cao +5
cs.LGcs.AIcs.HCarXiv:2608.14646v12026
GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
Konstantin Dobler, Federico Scozzafava, Jonathan Janke +2
cs.CLcs.LGarXiv:2608.13698v12026
Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers
Sajjad Khan
cs.LGcs.DCcs.LOarXiv:2608.03836v32026
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie +2
cs.LGcs.AIarXiv:2006.05405v52020
SAF-OPD: Stable Advantage Fusion for On-Policy Distillation
Yifan Ding, Xincheng Wei, Yoshua Y. Li +7
cs.LGcs.AIarXiv:2607.29209v12026
Constitutional Midtraining: Content Presence Drives Alignment Gains
Desiree Cho, Cameron Tice, Bernie Hogan +4
cs.CLcs.AIcs.CYarXiv:2607.26654v22026
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
Ye Yuan, Weien Li, Rui Song +19
cs.LGcs.AIcs.CLarXiv:2607.13431v12026
Uncovering Latent Reasoning Strategies in Language Models
Awni Altabaa, John Lafferty
cs.LGcs.AIarXiv:2607.17674v12026
Three-Body Scattering for Generative Modeling
Peng Sun, Zhenglin Cheng, Deyuan Liu +3
cs.LGcs.CVarXiv:2607.18198v12026
KVpop -- Key-Value Cache Compression with Predictive Online Pruning
Lukas Hauzenberger, Niklas Schmidinger, Anamaria-Roberta Hartl +5
cs.LGcs.AIarXiv:2607.05061v22026
Hierarchical Experimentalist Agents
Abhranil Chandra, Sankaran Vaidyanathan, Utsav Dhanuka +2
cs.AIcs.LGarXiv:2606.29315v12026
Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions
Matthew J Liu, Wei Hang Zheng, Vidhan Purohit +4
cs.LGcs.AIarXiv:2607.01283v12026
Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update
Daocheng Fu, Rong Wu, Yu Yang +7
cs.LGcs.AIarXiv:2607.11505v22026
DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams
Cong Wan, Zeyu Guo, Zijian Cai +6
cs.LGcs.AIarXiv:2606.21337v22026

Machine Learning

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

Attributed Graph Clustering via Adaptive Graph Convolution

Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing

BCIJelly: An integrated ecosystem for brain-computer interface research

Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Deep Reinforcement Learning for Resource Management in Network Slicing

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty

Tensor Decomposition for Signal Processing and Machine Learning

RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots

TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

Do generative video models understand physical principles?

Language-encoded network topology enables large language models to reason about complex networks

Safe Reinforcement Learning with Model Uncertainty Estimates

Restricted Eigenvalues Beyond Gaussian Width: Threshold Occupancy under Heavy Tails

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

A Brief Review of Hypernetworks in Deep Learning

A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation

Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition

xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Agentic Empirical Asset Pricing: Methodological Foundations

A Comparative Study of Label-free Representation Quality Metrics in Deep Learning

Training Alignment Auditors via Reinforcement Learning

Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning

Functional compatibility as a determinant of persistent neural learning

RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling

Self-Evolving Curriculum for LLM Reasoning

The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search

Length-Adaptive Decoding for Masked Diffusion Machine Translation

FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings

Physics-Unrolled Neural Operator for Wireless Field Modeling

Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors

CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated?

Reference-free logged energy-oracle recovery for neural approximations of symmetric coercive variational problems: conforming Riesz reconstruction and archive-level selection

Asymptotics-guided learning and symbolic regression for dispersive resonances

QuantumPhaseNet: A Gauge-Covariant Geometric and Quantum-Spectral Theory of Semantic Concept Hierarchies with Prototype Validation of a Classical Quantum-Inspired Model

Data-driven techniques for translational neuroscience and personalized neuro-health

A Reproducibility Study of Partial Residual Ablations in Pre-LN Transformers

iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration

GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

SAF-OPD: Stable Advantage Fusion for On-Policy Distillation

Constitutional Midtraining: Content Presence Drives Alignment Gains

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

Uncovering Latent Reasoning Strategies in Language Models

Three-Body Scattering for Generative Modeling

KVpop -- Key-Value Cache Compression with Predictive Online Pruning

Hierarchical Experimentalist Agents

Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions

Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams