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)

5,581 to 5,640 of 20,199

Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis
Jinmeng Li, Quan Zhang, Hangting Ye +4
cs.LGarXiv:2608.29674v12026
International AI Safety Report
Yoshua Bengio, Sören Mindermann, Daniel Privitera +93
cs.CYcs.AIcs.LGarXiv:2501.17805v12025
Steering Language Models With Activation Engineering
Alexander Matt Turner, Lisa Thiergart, Gavin Leech +4
cs.CLcs.LGarXiv:2308.10248v52023
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna, Anna Rogers, Anna Rumshisky
cs.CLcs.LGarXiv:2005.00561v22020
Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations
Vikas Dwivedi, Balaji Srinivasan
cs.LGphysics.comp-phstat.MLarXiv:1907.03507v12019
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu +3
cs.LGstat.MLarXiv:2006.13847v12020
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu, Tony Khuong Nguyen, Emma Dixon +7
cs.ROcs.AIcs.LGarXiv:2503.08558v32025
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids
Toru Lin, Kartik Sachdev, Linxi Fan +2
cs.ROcs.AIcs.CVarXiv:2502.20396v22025
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation
Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen +1
stat.APcs.LGarXiv:2005.14263v12020
POP909: A Pop-song Dataset for Music Arrangement Generation
Ziyu Wang, Ke Chen, Junyan Jiang +5
cs.SDcs.IRcs.LGarXiv:2008.07142v12020
Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost
Zihang Liang, Haochen Zhang, Lingzhou Xue
stat.MLcs.AIcs.LGarXiv:2609.00193v12026
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
cs.LGcs.DSstat.MLarXiv:1702.08503v22017
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Ni Xiao, Lei Zhang
cs.LGarXiv:2103.13814v12021
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Erik Johannes Husom, Arda Goknil, Merve Astekin +5
cs.CYcs.AIcs.CLarXiv:2504.03360v12025
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
cs.CVcs.LGarXiv:1910.03560v22019
ECA-BLS: An Efficient Complex-Augmented Broad Learning System
A. Rahaman, A. Quadir, M. Sajid +2
cs.LGarXiv:2608.29763v12026
Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow
Hoseong Hwang, Woorim Han, Joungin Chun +2
cs.LGarXiv:2608.29647v12026
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
Kun Shao, Yuanheng Zhu, Dongbin Zhao
cs.AIcs.LGcs.MAarXiv:1804.00810v12018
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication
Tingting Yang, Ping Zhang, Mengfan Zheng +4
cs.LGarXiv:2502.06877v12025
Process Reward Models for LLM Agents: Practical Framework and Directions
Sanjiban Choudhury
cs.LGcs.AIarXiv:2502.10325v12025
Multi-Head Attention: Collaborate Instead of Concatenate
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi
cs.LGcs.CLstat.MLarXiv:2006.16362v22020
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN
Keyvan Ramezanpour, Jithin Jagannath
cs.NIcs.LGarXiv:2105.01478v32021
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch, Charles Mackin, Manuel Le Gallo +10
cs.LGcs.ETarXiv:2302.08469v12023
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae Kumar Bhartari, Bowen Li +1
cs.LGcs.AIphysics.comp-pharXiv:2502.00604v22025
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
stat.MLcond-mat.dis-nncs.LGarXiv:1806.01316v32018
Music transcription modelling and composition using deep learning
Bob L. Sturm, João Felipe Santos, Oded Ben-Tal +1
cs.SDcs.LGarXiv:1604.08723v12016
MasRouter: Learning to Route LLMs for Multi-Agent Systems
Yanwei Yue, Guibin Zhang, Boyang Liu +4
cs.LGcs.MAarXiv:2502.11133v12025
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
eess.IVcs.CVcs.LGarXiv:1911.09098v12019
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter J. Liu, Lechao Xiao +13
cs.LGarXiv:2309.14322v22023
Generative Feature Replay For Class-Incremental Learning
Xialei Liu, Chenshen Wu, Mikel Menta +5
cs.CVcs.LGarXiv:2004.09199v12020
Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty
Mushir Akhtar, A. Varshney, A. Quadir +3
cs.LGarXiv:2608.29983v12026
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother +5
cs.LGarXiv:2504.11054v12025
GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis
M. Tanveer, Ayush Singh Rana, Sanskriti Jain +5
cs.LGarXiv:2608.29755v12026
TRACE: Retrospective Streaming Generation of Physical Fields under Sparse Structured Sensing
Xinyu Zhang, Lihao Chen, Panqi Chen +4
stat.MLcs.LGarXiv:2608.26219v12026
Local Implicit Grid Representations for 3D Scenes
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia +3
cs.CVcs.CGcs.LGarXiv:2003.08981v12020
Optimization Methods for Large-Scale Machine Learning
Léon Bottou, Frank E. Curtis, Jorge Nocedal
stat.MLcs.LGmath.OCarXiv:1606.04838v32016
El Agente: An Autonomous Agent for Quantum Chemistry
Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary +13
cs.AIcs.LGcs.MAarXiv:2505.02484v22025
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Samuel Daulton, David Eriksson, Maximilian Balandat +1
cs.LGcs.AImath.OCarXiv:2109.10964v42021
Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance
Kazuyuki Hara, Hideitsu Hino
cs.LGcs.AIarXiv:2608.29472v12026
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Michael Luo, Xiaoxiang Shi, Colin Cai +8
cs.LGcs.AIcs.DCarXiv:2502.13965v12025
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Yawar Siddiqui, Julien Valentin, Matthias Nießner
cs.CVcs.LGarXiv:1911.11789v22019
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega, Matteo Boschini, Angelo Porrello +1
cs.LGstat.MLarXiv:2010.05595v12020
Generalized Interpolating Discrete Diffusion
Dimitri von Rütte, Janis Fluri, Yuhui Ding +3
cs.CLcs.AIcs.LGarXiv:2503.04482v22025
Generalizing to unseen domains via distribution matching
Isabela Albuquerque, João Monteiro, Mohammad Darvishi +2
cs.LGstat.MLarXiv:1911.00804v62019
On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers
Vignesh Prabhakar, Jialing Pan, Anil Babu Ankisettipalli
cs.LGcs.AIarXiv:2609.01947v12026
OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation
Yunqin Zhu, Feng Qiu, Yao Xie
cs.LGcs.AIarXiv:2609.01896v12026
Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge
Chen Chen, Mohsen Nayebi Kerdabadi, Dongjie Wang +2
cs.LGcs.AIarXiv:2609.01839v12026
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Yue Yu, Kexin Huang, Chao Zhang +3
cs.LGcs.CLcs.IRarXiv:2010.01450v22020
Path Planning for Masked Diffusion Model Sampling
Fred Zhangzhi Peng, Zachary Bezemek, Sawan Patel +5
cs.LGcs.AIarXiv:2502.03540v52025
A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du +3
cs.CVcs.CRcs.LGarXiv:2303.10137v22023
LiDAR Snowfall Simulation for Robust 3D Object Detection
Martin Hahner, Christos Sakaridis, Mario Bijelic +4
cs.CVcs.LGarXiv:2203.15118v22022
LLMs4OL: Large Language Models for Ontology Learning
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
cs.AIcs.CLcs.ITarXiv:2307.16648v22023
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi +2
cs.LGarXiv:2204.12703v12022
MMRL: Multi-Modal Representation Learning for Vision-Language Models
Yuncheng Guo, Xiaodong Gu
cs.LGcs.CVarXiv:2503.08497v22025
Federated Learning via Intelligent Reflecting Surface
Zhibin Wang, Jiahang Qiu, Yong Zhou +4
cs.ITcs.LGeess.SParXiv:2011.05051v22020
Harnessing the Universal Geometry of Embeddings
Rishi Jha, Collin Zhang, Vitaly Shmatikov +1
cs.LGarXiv:2505.12540v42025
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin, Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:1805.07866v62018
PromptTTS: Controllable Text-to-Speech with Text Descriptions
Zhifang Guo, Yichong Leng, Yihan Wu +2
eess.AScs.CLcs.LGarXiv:2211.12171v12022
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
Yuhua Yin, Julian Jang-Jaccard, Wen Xu +4
cs.LGcs.CRarXiv:2203.16365v22022
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
Zijing Zhang, Ziyang Chen, Mingxiao Li +2
cs.LGcs.AIarXiv:2507.22844v12025

Machine Learning

Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis

International AI Safety Report

Steering Language Models With Activation Engineering

When BERT Plays the Lottery, All Tickets Are Winning

Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations

Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation

POP909: A Pop-song Dataset for Music Arrangement Generation

Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

SGD Learns the Conjugate Kernel Class of the Network

Dynamic Weighted Learning for Unsupervised Domain Adaptation

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

When Does Self-supervision Improve Few-shot Learning?

ECA-BLS: An Efficient Complex-Augmented Broad Learning System

Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Process Reward Models for LLM Agents: Practical Framework and Directions

Multi-Head Attention: Collaborate Instead of Concatenate

Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach

Music transcription modelling and composition using deep learning

MasRouter: Learning to Route LLMs for Multi-Agent Systems

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Small-scale proxies for large-scale Transformer training instabilities

Generative Feature Replay For Class-Incremental Learning

Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis

TRACE: Retrospective Streaming Generation of Physical Fields under Sparse Structured Sensing

Local Implicit Grid Representations for 3D Scenes

Optimization Methods for Large-Scale Machine Learning

El Agente: An Autonomous Agent for Quantum Chemistry

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

Generalized Interpolating Discrete Diffusion

Generalizing to unseen domains via distribution matching

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

Path Planning for Masked Diffusion Model Sampling

A Recipe for Watermarking Diffusion Models

LiDAR Snowfall Simulation for Robust 3D Object Detection

LLMs4OL: Large Language Models for Ontology Learning

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

MMRL: Multi-Modal Representation Learning for Vision-Language Models

Federated Learning via Intelligent Reflecting Surface

Harnessing the Universal Geometry of Embeddings

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

PromptTTS: Controllable Text-to-Speech with Text Descriptions

IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents