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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5,161 to 5,220 of 20,175

Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019
Wireless Communications for Collaborative Federated Learning
Mingzhe Chen, H. Vincent Poor, Walid Saad +1
cs.ITcs.LGarXiv:2006.02499v22020
A Unified Framework for Sparse Relaxed Regularized Regression: SR3
Peng Zheng, Travis Askham, Steven L. Brunton +2
stat.MLcs.LGmath.OCarXiv:1807.05411v42018
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien +1
eess.IVcs.CVcs.LGarXiv:2004.01184v12020
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li, Yining Ma, Ruize Gao +4
cs.LGmath.OCarXiv:2110.02629v22021
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang, Tao Feng, Lilong Xue +3
cs.CLcs.AIcs.LGarXiv:2501.13787v12025
NVIDIA FLARE: Federated Learning from Simulation to Real-World
Holger R. Roth, Yan Cheng, Yuhong Wen +20
cs.LGcs.AIcs.CVarXiv:2210.13291v32022
TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
Yutao Xie, Nathaniel Thomas, Nicklas Hansen +3
cs.CLcs.AIcs.LGarXiv:2603.22293v12026
Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity
Bojie Li
cs.LGcs.AIarXiv:2604.24827v22026
Machine learning approach for early detection of autism by combining questionnaire and home video screening
Halim Abbas, Ford Garberson, Eric Glover +1
cs.CYcs.LGarXiv:1703.06076v12017
Optimizing Large Language Model Training Using FP4 Quantization
Ruizhe Wang, Yeyun Gong, Xiao Liu +5
cs.LGcs.CLarXiv:2501.17116v22025
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
General In-Hand Object Rotation with Vision and Touch
Haozhi Qi, Brent Yi, Sudharshan Suresh +4
cs.ROcs.AIcs.CVarXiv:2309.09979v22023
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca +9
cs.LGcs.AIcs.NEarXiv:2502.14546v12025
Variational Federated Multi-Task Learning
Luca Corinzia, Ami Beuret, Joachim M. Buhmann
cs.LGstat.MLarXiv:1906.06268v22019
Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
Jiantong Jiang, Peiyu Yang, Rui Zhang +1
cs.LGcs.AIcs.CLarXiv:2607.08057v12026
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
Lucy Harris, Andrew T. T. McRae, Matthew Chantry +2
physics.ao-phcs.AIcs.CVarXiv:2204.02028v22022
A Survey of Research in Large Language Models for Electronic Design Automation
Jingyu Pan, Guanglei Zhou, Chen-Chia Chang +3
cs.LGarXiv:2501.09655v12025
Graph Neural Networks in Modern AI-aided Drug Discovery
Odin Zhang, Haitao Lin, Xujun Zhang +9
q-bio.BMcs.LGarXiv:2506.06915v12025
Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis
Vennise Ho, Kristian Diana, Sandy Mourad +3
cs.AIcs.LGarXiv:2608.28944v12026
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
Johannes Kirschner, Mojmír Mutný, Nicole Hiller +2
cs.LGstat.MLarXiv:1902.03229v22019
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur +2
cs.LGcs.AIcs.CVarXiv:2010.04495v12020
Robust Ensemble Clustering Using Probability Trajectories
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
stat.MLcs.LGarXiv:1606.01160v12016
V2TATC: A Joint Voice-Trajectory Embedding Framework and Dataset for Air Traffic Controller Situational Awareness
Louis Brusset, Mathurin Petit, Jordan Kam +1
cs.LGeess.ASarXiv:2608.28981v12026
OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization
Yishan Yao, Binjun Li, Hanling Yi +5
cs.CLcs.AIcs.LGarXiv:2609.00066v12026
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3
Petr Hurtik, Vojtech Molek, Jan Hula +3
cs.CVcs.LGeess.IVarXiv:2005.13243v22020
Riemannian Continuous Normalizing Flows
Emile Mathieu, Maximilian Nickel
stat.MLcs.LGarXiv:2006.10605v22020
A Federated Learning Approach to Anomaly Detection in Smart Buildings
Raed Abdel Sater, A. Ben Hamza
cs.LGarXiv:2010.10293v32020
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.CVcs.AIcs.CLarXiv:2503.04812v22025
PET-MAD, a lightweight universal interatomic potential for advanced materials modeling
Arslan Mazitov, Filippo Bigi, Matthias Kellner +6
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2503.14118v22025
Test-time regression: a unifying framework for designing sequence models with associative memory
Ke Alexander Wang, Jiaxin Shi, Emily B. Fox
cs.LGcs.AIcs.NEarXiv:2501.12352v32025
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
Mengyuan Yan, Yilin Zhu, Ning Jin +1
cs.ROcs.CVcs.LGarXiv:1911.06283v32019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, Joel Lehman +2
cs.LGstat.MLarXiv:1912.07768v12019
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Pengyi Li, Matvey Skripkin, Alexander Zubrey +2
cs.CLcs.LGarXiv:2506.06395v32025
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang +1
cs.LGmath.OCstat.MLarXiv:1806.00877v42018
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro, C. Lawrence Zitnick
cs.LGphysics.chem-phphysics.comp-pharXiv:2302.03655v22023
Hardness-Aware Deep Metric Learning
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu +1
cs.CVcs.LGarXiv:1903.05503v22019
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao, Shuwei Shen, Mengjuan Xu +6
cs.CVcs.LGarXiv:2102.01284v22021
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat +1
cs.LGcs.AIarXiv:2402.03921v22024
UserBench: An Interactive Gym Environment for User-Centric Agents
Cheng Qian, Zuxin Liu, Akshara Prabhakar +9
cs.AIcs.CLcs.LGarXiv:2507.22034v12025
Categorical Flow Maps
Daan Roos, Oscar Davis, Floor Eijkelboom +5
cs.LGarXiv:2602.12233v12026
PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning
Hao Ye, Gaopeng Zhang
cs.LGcs.NEarXiv:2608.29765v12026
Natural Compression for Distributed Deep Learning
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath +3
cs.LGmath.OCstat.MLarXiv:1905.10988v32019
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018
Purified OPSD: On-Policy Self-Distillation Without Losing How to Think
Zhanming Shen, Jintao Tong, Shaotian Yan +9
cs.AIcs.LGarXiv:2607.02234v12026
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads
Jialin Ding, Vikram Nathan, Mohammad Alizadeh +1
cs.DBcs.LGarXiv:2006.13282v12020
Are Reasoning Models More Prone to Hallucination?
Zijun Yao, Yantao Liu, Yanxu Chen +5
cs.CLcs.LGarXiv:2505.23646v12025
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
cs.LGcs.AIcs.CLarXiv:2401.17263v52024
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
eess.AScs.CLcs.LGarXiv:1910.12607v22019
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Chengshuai Zhao, Zhen Tan, Pingchuan Ma +5
cs.AIcs.CLcs.LGarXiv:2508.01191v62025
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong +2
cs.NEcs.LGeess.SParXiv:2105.02786v32021
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Chi Zhang, Yujun Cai, Guosheng Lin +1
cs.CVcs.LGeess.IVarXiv:2003.06777v52020
Steering Large Language Model Activations in Sparse Spaces
Reza Bayat, Ali Rahimi-Kalahroudi, Mohammad Pezeshki +2
cs.LGcs.AIarXiv:2503.00177v12025
BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning
Hao Tian, Heng Cai, Yifan Yang
cs.LGarXiv:2608.29553v12026
Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang +3
cs.LGcs.AIcs.PLarXiv:2007.04973v42020
The HSIC Bottleneck: Deep Learning without Back-Propagation
Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
cs.LGstat.MLarXiv:1908.01580v32019
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
Hanlin Wang, Chak Tou Leong, Jiashuo Wang +2
cs.CLcs.LGarXiv:2505.20732v12025
Robustness of Graph Neural Networks at Scale
Simon Geisler, Tobias Schmidt, Hakan Şirin +3
cs.LGstat.MLarXiv:2110.14038v42021
Steer LLM Latents for Hallucination Detection
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh +2
cs.LGcs.AIcs.CLarXiv:2503.01917v22025
A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'
Ali Borji
cs.LGcs.AIarXiv:2410.12954v22024

Machine Learning

Overfitting Mechanism and Avoidance in Deep Neural Networks

Wireless Communications for Collaborative Federated Learning

A Unified Framework for Sparse Relaxed Regularized Regression: SR3

Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem

Parameter-Efficient Fine-Tuning for Foundation Models

NVIDIA FLARE: Federated Learning from Simulation to Real-World

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity

Machine learning approach for early detection of autism by combining questionnaire and home video screening

Optimizing Large Language Model Training Using FP4 Quantization

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

General In-Hand Object Rotation with Vision and Touch

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

Variational Federated Multi-Task Learning

Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

A Survey of Research in Large Language Models for Electronic Design Automation

Graph Neural Networks in Modern AI-aided Drug Discovery

Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Linear Mode Connectivity in Multitask and Continual Learning

Robust Ensemble Clustering Using Probability Trajectories

V2TATC: A Joint Voice-Trajectory Embedding Framework and Dataset for Air Traffic Controller Situational Awareness

OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

Riemannian Continuous Normalizing Flows

A Federated Learning Approach to Anomaly Detection in Smart Buildings

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

PET-MAD, a lightweight universal interatomic potential for advanced materials modeling

Test-time regression: a unifying framework for designing sequence models with associative memory

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Hardness-Aware Deep Metric Learning

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

Large Language Models to Enhance Bayesian Optimization

UserBench: An Interactive Gym Environment for User-Centric Agents

Categorical Flow Maps

PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning

Natural Compression for Distributed Deep Learning

Unsupervised Learning by Competing Hidden Units

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

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads

Are Reasoning Models More Prone to Hallucination?

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning

Steering Large Language Model Activations in Sparse Spaces

BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning

Contrastive Code Representation Learning

The HSIC Bottleneck: Deep Learning without Back-Propagation

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Robustness of Graph Neural Networks at Scale

Steer LLM Latents for Hallucination Detection

A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'