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)

31,681 to 31,740 of 32,732

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
cs.LGcs.AIarXiv:2401.02456v12024
Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang +3
cs.LGcs.DCstat.MLarXiv:1912.12115v12019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2
cs.CVcs.LGeess.IVarXiv:1911.03029v22019
Counterfactual Explanations Can Be Manipulated
Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju +1
cs.LGarXiv:2106.02666v22021
Anomalous sound detection based on interpolation deep neural network
Kaori Suefusa, Tomoya Nishida, Harsh Purohit +3
eess.AScs.LGcs.SDarXiv:2005.09234v12020
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
cs.NEcs.LGarXiv:1804.07802v12018
Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning
Ziyue Liu, Ruijie Zhang, Zhengyang Wang +4
cs.LGcs.AIarXiv:2604.09967v22026
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian +8
eess.SPcs.LGarXiv:2109.01120v22021
Neural Scaling Laws for Boosted Jet Tagging
Matthias Vigl, Nicole Hartman, Michael Kagan +1
hep-excs.LGhep-pharXiv:2602.15781v12026
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury +2
cs.CLcs.AIcs.LGarXiv:2010.01029v22020
Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis
Zhengbo Jiao, Shaobo Wang, Zifan Zhang +5
cs.AIcs.LGarXiv:2602.03279v12026
Mind the Gap: Robustness Risks in PII Detection Systems
Adeel Zafar, Slawomir Nowaczyk
cs.LGarXiv:2609.03464v12026
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Nilaksh, Saurav Jha, Artem Zholus +1
cs.CVcs.LGcs.ROarXiv:2605.06388v12026
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram +2
cs.LGcs.AIarXiv:2502.08586v12025
Limits of trust in medical AI
Joshua Hatherley
cs.LGcs.AIcs.CYarXiv:2503.16692v22025
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
cs.CRcs.LGstat.MLarXiv:2008.01916v12020
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Yifan Zeng, Yiran Wu, Xiao Zhang +2
cs.LGcs.CLcs.CRarXiv:2403.04783v22024
REST: Retrieval-Based Speculative Decoding
Zhenyu He, Zexuan Zhong, Tianle Cai +2
cs.CLcs.AIcs.IRarXiv:2311.08252v22023
PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data
Pu Cheng, Juncheng Liu, Yunshen Long
q-fin.CPcs.AIcs.LGarXiv:2604.14199v12026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Jinghan Cao, Yu Ma, Xinjin Li +2
cs.CLcs.LGarXiv:2603.21389v12026
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling
Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin +4
cs.LGcs.CLcs.DCarXiv:2301.06568v12023
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
Cheng-I Lai, Nanxin Chen, Jesús Villalba +1
cs.CLcs.LGcs.SDarXiv:1904.01120v12019
Neural Linguistic Steganography
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
cs.CLcs.CRcs.LGarXiv:1909.01496v12019
Evaluating Tiny Recursive Models Across Training for Code Generation
Anjani Sirivella, Aanisha Newaz, Glaucia Melo
cs.AIcs.LGcs.SEarXiv:2608.29376v12026
Analog forecasting of extreme-causing weather patterns using deep learning
Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh
physics.ao-phcs.LGarXiv:1907.11617v22019
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu, Wenhan Lu, Zebo Li +2
cs.CVcs.LGeess.IVarXiv:1910.06444v12019
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Aryan Jadon, Avinash Patil, Shruti Jadon
cs.LGcs.AIarXiv:2211.02989v12022
A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner, Phil Blunsom
cs.CLcs.AIcs.LGarXiv:2003.07278v22020
A Deep Framework for Cross-Domain and Cross-System Recommendations
Feng Zhu, Yan Wang, Chaochao Chen +3
cs.LGcs.AIarXiv:2009.06215v12020
Pythia: AI-assisted Code Completion System
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu +1
cs.SEcs.LGarXiv:1912.00742v12019
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal +2
cs.CVcs.LGarXiv:1904.01324v22019
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications
Ole Schumann, Markus Hahn, Nicolas Scheiner +4
cs.LGarXiv:2104.02493v22021
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy +1
cs.LGstat.MLarXiv:1709.06030v22017
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han, Renrui Zhang, Wenqi Shao +14
cs.MMcs.CLcs.CVarXiv:2309.03905v22023
Population Health-Based Machine Learning Reveals Associations Between Psychosocial Factors and Chronic Kidney Disease
Md. Atik Shams, David Eisenberg, Sumaiya Fatema +12
cs.LGarXiv:2608.17174v12026
Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference
Pol G. Recasens, Ferran Agullo, Yue Zhu +5
cs.DCcs.LGarXiv:2503.08311v22025
Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation
Xian Sun, Wei Gao, Yingshuo Wang +9
cs.LGarXiv:2606.15127v22026
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu +1
cs.SDcs.CVcs.LGarXiv:2306.17203v12023
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
Simone Palazzo, Concetto Spampinato, Isaak Kavasidis +3
cs.CVcs.LGq-bio.NCarXiv:1810.10974v22018
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem, Lisa Adams, Christoph Erxleben +3
cs.LGcs.CVeess.IVarXiv:2002.08991v12020
FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks
Getnet Demil, Muhammad Farhan Humayun, Tomi Westerlund +2
cs.CVcs.LGarXiv:2608.29384v12026
Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge
Kai Geissler, Raphael Schäfer
cs.CVcs.AIcs.LGarXiv:2608.29162v12026
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
Lukas Helff, Quentin Delfosse, David Steinmann +6
cs.LGcs.AIarXiv:2604.15149v12026
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez +2
cs.CVcs.LGeess.IVarXiv:1904.01740v22019
Deep Reinforcement Learning for Autonomous Driving
Sen Wang, Daoyuan Jia, Xinshuo Weng
cs.CVcs.LGcs.ROarXiv:1811.11329v32018
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le, Oisín Boydell, Brian Mac Namee +1
cs.CRcs.AIcs.LGarXiv:1807.08265v12018
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
Zhengyang Li, Qijin Ji, Xinghong Ling +1
cs.LGarXiv:2509.03682v12025
OCTID: Optical Coherence Tomography Image Database
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy +1
cs.CVcs.LGarXiv:1812.07056v22018
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
cs.ROcs.AIcs.CVarXiv:2501.05014v22025
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
cs.ROcs.AIcs.CVarXiv:2503.03262v32025
An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection
Basil Sajid Shaikh, Melrick Mascarenhas, Nuzhat Faiz Shaikh
cs.AIcs.LGarXiv:2608.29973v12026
EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration
Ram Kulathumani, Regunathan Radhakrishnan, Anupam Tripathi +5
cs.AIcs.LGarXiv:2608.29971v12026
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1612.04340v12016
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4
q-bio.QMcs.LGarXiv:2012.05043v12020
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
cs.SIcs.LGarXiv:1902.08329v12019
Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research
Axel Boldt
math.HOcs.LGarXiv:2608.29401v12026

Machine Learning

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

Split Learning for collaborative deep learning in healthcare

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Counterfactual Explanations Can Be Manipulated

Anomalous sound detection based on interpolation deep neural network

Value-aware Quantization for Training and Inference of Neural Networks

Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Neural Scaling Laws for Boosted Jet Tagging

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis

Mind the Gap: Robustness Risks in PII Detection Systems

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Limits of trust in medical AI

An effective algorithm for hyperparameter optimization of neural networks

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

REST: Retrieval-Based Speculative Decoding

PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data

Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

Neural Linguistic Steganography

Evaluating Tiny Recursive Models Across Training for Code Generation

Analog forecasting of extreme-causing weather patterns using deep learning

Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks

A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting

A Survey on Contextual Embeddings

A Deep Framework for Cross-Domain and Cross-System Recommendations

Pythia: AI-assisted Code Completion System

Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking

RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications

N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

ImageBind-LLM: Multi-modality Instruction Tuning

Population Health-Based Machine Learning Reveals Associations Between Psychosocial Factors and Chronic Kidney Disease

Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference

Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation

Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models

Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks

Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

Deep Reinforcement Learning for Autonomous Driving

Deep learning at the shallow end: Malware classification for non-domain experts

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games

OCTID: Optical Coherence Tomography Image Database

UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions

An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection

EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration

End-to-End Deep Reinforcement Learning for Lane Keeping Assist

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Continual Learning via Neural Pruning

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research