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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32,101 to 32,160 of 32,946

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye, Haiyang Xu, Guohai Xu +15
cs.CLcs.CVcs.LGarXiv:2304.14178v32023
Navigating to Objects in the Real World
Theophile Gervet, Soumith Chintala, Dhruv Batra +2
cs.ROcs.CVcs.LGarXiv:2212.00922v12022
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto +2
cs.LGcs.AIarXiv:2206.13508v42022
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
stat.MEcs.AIcs.LGarXiv:2103.11357v12021
DL-Droid: Deep learning based android malware detection using real devices
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
cs.CRcs.LGcs.NEarXiv:1911.10113v12019
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
cs.DCcs.LGarXiv:2004.00773v12020
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
eess.SPcs.LGstat.MLarXiv:1908.06847v42019
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
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie +2
cs.LGcs.AIarXiv:2006.05405v52020
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal +1
cs.LGcs.CVcs.NEarXiv:1412.6583v42014
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
cs.LGcs.AIcs.HCarXiv:1707.06742v32017
Lost but not erased: Finding traces of a forgotten language in neural speech models
Peter Plantinga, Charlotte Moore, Peter W. Donhauser +2
cs.CLcs.LGarXiv:2608.25976v12026
Knowledge Base Completion: Baselines Strike Back
Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst
cs.LGcs.AIarXiv:1705.10744v12017
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
cs.MAcs.AIcs.CYarXiv:2502.14143v12025
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Yong Lin, Shange Tang, Bohan Lyu +8
cs.LGcs.AIarXiv:2502.07640v32025
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya, Arindam Basu
eess.AScs.LGcs.SDarXiv:2004.08287v12020
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson, Chuan Guo, Graham Cormode +1
cs.CRcs.LGarXiv:2111.08440v22021
Multiple decision trees
Suk Wah Kwok, Chris Carter
cs.LGcs.AIstat.MLarXiv:1304.2363v12013
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto, Romain Mueller, Konstantinos Tertikas +2
cs.CVcs.LGarXiv:1912.09393v22019
ARCHER: Amortized cross-specimen pose estimation for cryo-electron microscopy
Nhan D. Nguyen, Bao Pham
cs.LGmath-phq-bio.BMarXiv:2608.22029v12026
Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment
Mian Zhong, Katherine A. Keith, Anjalie Field
cs.CLcs.LGarXiv:2609.01322v12026
Unsupervised Learning via Meta-Learning
Kyle Hsu, Sergey Levine, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1810.02334v62018
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Liang Wen, Yunke Cai, Fenrui Xiao +11
cs.CLcs.LGarXiv:2503.10460v42025
Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling
Sean Lim
cs.LGq-bio.BMarXiv:2608.26538v12026
Frequency-aware forecasting for short-term typhoon gust prediction
Xuefei Wang, Tingyi Liu, Heng Zhang +1
cs.LGarXiv:2608.25604v12026
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou +5
cs.CVcs.AIcs.LGarXiv:2312.03606v22023
SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning
Mohammad Aref Jafari-Raddani, Morteza Mohajjel Kafshdooz
cs.LGcs.AIarXiv:2608.15360v12026
A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression
Sumaiya Afroz Mila, Sandip Ray
cs.LGarXiv:2608.14969v12026
Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction
Jafin Khan, Md Hossain Shuvo
cs.LGarXiv:2608.13797v12026
Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development
Zixi Li, Youzhen Li
cs.SDcs.LGeess.ASarXiv:2606.07207v12026
Regret Minimization with Adaptive Opponents in Repeated Games
Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu +1
cs.LGcs.AIcs.GTarXiv:2606.06486v12026
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn +6
cs.CVcs.AIcs.LGarXiv:2312.06662v12023
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomasz Korbak +16
cs.CLcs.AIcs.LGarXiv:2310.13548v42023
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu +4
cs.CLcs.AIcs.LGarXiv:2210.03629v32022
Music Source Separation with Band-split RNN
Yi Luo, Jianwei Yu
eess.AScs.LGcs.SDarXiv:2209.15174v12022
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
cs.LGcs.CRcs.DCarXiv:2007.10987v12020
Personalized Speech recognition on mobile devices
Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez +8
cs.CLcs.LGcs.SDarXiv:1603.03185v22016
TWIST: Teleoperated Whole-Body Imitation System
Yanjie Ze, Zixuan Chen, João Pedro Araújo +4
cs.ROcs.CVcs.LGarXiv:2505.02833v12025
AlphaStar: An Evolutionary Computation Perspective
Kai Arulkumaran, Antoine Cully, Julian Togelius
cs.NEcs.AIcs.LGarXiv:1902.01724v32019
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal +28
cs.LGarXiv:2111.02780v12021
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
Andros Tjandra, Yi-Chiao Wu, Baishan Guo +10
cs.SDcs.LGeess.ASarXiv:2502.05139v12025
Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L. F. Abbott
q-bio.NCcs.LGarXiv:2104.07059v32021
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
eess.IVcs.CVcs.LGarXiv:2004.11676v52020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao, Yujing Wang, Juanyong Duan +7
cs.LGstat.MLarXiv:2009.02040v12020
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients
Irit Hochberg, Guy Feraru, Mark Kozdoba +3
cs.CYcs.LGarXiv:1605.04070v12016
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
eess.IVcs.LGstat.MLarXiv:2006.10027v22020
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh
cs.NEcs.ARcs.CVarXiv:1901.00121v12019
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé +2
cs.HCcs.CYcs.LGarXiv:1812.05239v22018
Automated software vulnerability detection with machine learning
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell +13
cs.SEcs.LGstat.MLarXiv:1803.04497v22018
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
cs.LGcs.AIstat.MLarXiv:1809.02499v32018
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38
cs.AIcs.LGstat.MLarXiv:2507.11473v22025
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha +1
cs.CVcs.LGstat.AParXiv:1802.08717v12018
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2
cs.LGcs.AIcs.CVarXiv:1711.04708v12017
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1704.02532v12017
Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing
Ling-Wei Kong, Ying-Cheng Lai
nlin.CDcs.LGarXiv:2609.01914v12026
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry +1
cs.SDcs.LGeess.ASarXiv:2101.08596v12021
LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference
Yuhan Liu, Yihua Cheng, Jiayi Yao +8
cs.LGarXiv:2510.09665v22025
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konečný, Jie Liu, Peter Richtárik +1
cs.LGstat.MLarXiv:1504.04407v22015
S-matrix informed neural networks for amplitude analysis
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
hep-phcs.LGnucl-tharXiv:2608.23750v12026
Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors
Deliang Wei, Evan Bell, Wenhan Guo +2
cs.LGarXiv:2608.17666v12026

Machine Learning

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Navigating to Objects in the Real World

Data Augmentation techniques in time series domain: A survey and taxonomy

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

DL-Droid: Deep learning based android malware detection using real devices

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

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

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Discovering Hidden Factors of Variation in Deep Networks

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Lost but not erased: Finding traces of a forgotten language in neural speech models

Knowledge Base Completion: Baselines Strike Back

Multi-Agent Risks from Advanced AI

Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

On the Importance of Difficulty Calibration in Membership Inference Attacks

Multiple decision trees

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

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

Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment

Unsupervised Learning via Meta-Learning

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling

Frequency-aware forecasting for short-term typhoon gust prediction

DiffusionSat: A Generative Foundation Model for Satellite Imagery

SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning

A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression

Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction

Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development

Regret Minimization with Adaptive Opponents in Repeated Games

Photorealistic Video Generation with Diffusion Models

Towards Understanding Sycophancy in Language Models

ReAct: Synergizing Reasoning and Acting in Language Models

Music Source Separation with Band-split RNN

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Personalized Speech recognition on mobile devices

TWIST: Teleoperated Whole-Body Imitation System

AlphaStar: An Evolutionary Computation Perspective

Flood forecasting with machine learning models in an operational framework

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Neural population geometry: An approach for understanding biological and artificial neural networks

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

Multivariate Time-series Anomaly Detection via Graph Attention Network

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

Deep Learning Meets SAR

FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review

Improving fairness in machine learning systems: What do industry practitioners need?

Automated software vulnerability detection with machine learning

MixUp as Locally Linear Out-Of-Manifold Regularization

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Machine Learning for the Geosciences: Challenges and Opportunities

Deep Reinforcement Learning framework for Autonomous Driving

Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing

LEAF: A Learnable Frontend for Audio Classification

LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference

Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

S-matrix informed neural networks for amplitude analysis

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors