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)

20,521 to 20,580 of 33,917

A Long-Short Flow-Map Perspective for Drifting Models
Zhiqi Li, Bo Zhu
cs.LGarXiv:2602.20463v12026
BLOKS: Scaling Kernel Solvers with Sketched Block Preconditioning
Giordano Vitale, Giacomo Meanti, Marco Rando +2
cs.LGstat.MLarXiv:2610.13382v12026
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin, Wen Song, Zhiguang Cao +1
cs.AIcs.LGarXiv:2110.07983v12021
AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents
R E Zera Marveen Lyngkhoi, Abhivansh Gupta, Vidushee Vats +3
cs.LGarXiv:2610.13335v12026
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion +2
cs.CVcs.LGarXiv:2010.01028v22020
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane, Mykola Pechenizkiy
cs.LGcs.AIstat.MLarXiv:1710.03184v32017
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
Shiyue Zhang, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1909.06356v12019
End-to-End Referring Video Object Segmentation with Multimodal Transformers
Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin
cs.CVcs.CLcs.LGarXiv:2111.14821v22021
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Dawit Belayneh, Federico Carminati, Amir Farbin +13
physics.ins-detcs.CVcs.LGarXiv:1912.06794v32019
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia, Tongliang Liu, Bo Han +4
cs.LGarXiv:2106.00445v12021
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh +3
cs.CYcs.AIcs.LGarXiv:2305.02231v22023
Online Learning under Delayed Feedback
Pooria Joulani, András György, Csaba Szepesvári
cs.LGcs.AIstat.MLarXiv:1306.0686v22013
Complicated Table Structure Recognition
Zewen Chi, Heyan Huang, Heng-Da Xu +3
cs.IRcs.LGarXiv:1908.04729v22019
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Rex Ying, Christopher Ré +1
cs.LGstat.MLarXiv:1910.12933v12019
Graph Neural Networks with convolutional ARMA filters
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi +1
cs.LGstat.MLarXiv:1901.01343v72019
Loss-Parameterized Fisher Width Along Learning Trajectories
Vu Khac Ky
cs.LGmath.STarXiv:2608.21561v12026
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Tianshu Chu, Jie Wang, Lara Codecà +1
cs.LGstat.MLarXiv:1903.04527v12019
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Jingru Tan, Xin Lu, Gang Zhang +2
cs.CVcs.LGarXiv:2012.08548v22020
QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
Jingxuan Zhang, Yunta Hsieh, Zhongwei Wan +5
cs.LGarXiv:2602.20309v42026
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
Mahsan Nourani, Joanie T. King, Eric D. Ragan
cs.HCcs.AIcs.LGarXiv:2008.09100v12020
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
Adarsh Dave, Jared Mitchell, Sven Burke +3
cs.LGcs.ROarXiv:2111.14786v12021
U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
eess.IVcs.CVcs.LGarXiv:2011.01118v12020
THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout
Giuseppe Chiari, Michele Piccoli, Federico Viola +1
cs.LGarXiv:2609.35035v22026
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt
cs.LGcs.SEarXiv:2105.12787v32021
Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Lihua Xie +1
math.OCcs.DCcs.LGarXiv:1903.04277v22019
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
Juyong Lee, Youngsang Cho
eess.SPcs.LGcs.SYarXiv:2107.06174v12021
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Huizhuo Yuan +3
cs.LGcs.AIcs.CLarXiv:2405.00675v52024
Completion Aware Guidance for World Action Models
Seungyeon Kim, Junhoo Lee, Baekseung Kim +2
cs.ROcs.AIcs.LGarXiv:2610.01559v12026
Veridical Data Science
Bin Yu, Karl Kumbier
stat.MLcs.LGarXiv:1901.08152v52019
Theory of Deep Learning III: explaining the non-overfitting puzzle
Tomaso Poggio, Kenji Kawaguchi, Qianli Liao +5
cs.LGarXiv:1801.00173v22017
A Random Matrix Approach to Neural Networks
Cosme Louart, Zhenyu Liao, Romain Couillet
math.PRcs.LGarXiv:1702.05419v22017
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani +1
cs.CRcs.LGarXiv:2202.11917v12022
Infrastructure-based Monocular 3D Vehicle Localization Framework with Experimental Validation
Akos T. Kopeczi-Bocz, Tian Mi, Gabor Orosz +1
cs.CVcs.LGeess.IVarXiv:2609.05523v12026
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta +8
cs.LGarXiv:2505.23579v22025
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar +3
stat.MLcs.LGarXiv:1812.02224v22018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
Kyle Hundman, Valentino Constantinou, Christopher Laporte +2
cs.LGstat.MLarXiv:1802.04431v32018
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, SeongKu Kang, Hyunjun Ju +2
cs.LGcs.IRarXiv:2105.06323v12021
Deep Multi-View Enhancement Hashing for Image Retrieval
Chenggang Yan, Biao Gong, Yuxuan Wei +1
cs.CVcs.LGeess.IVarXiv:2002.00169v22020
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng +4
cs.AIcs.LGarXiv:2405.00451v22024
Evaluating and Boosting Uncertainty Quantification in Classification
Xiaoyang Huang, Jiancheng Yang, Linguo Li +3
cs.LGcs.AIarXiv:1909.06030v22019
Self-attention Does Not Need $O(n^2)$ Memory
Markus N. Rabe, Charles Staats
cs.LGarXiv:2112.05682v32021
Better Exploration with Optimistic Actor-Critic
Kamil Ciosek, Quan Vuong, Robert Loftin +1
stat.MLcs.LGarXiv:1910.12807v12019
BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces
Sijing Wu, Dongyuan Li, Miaoting Huang +4
cs.GRcs.LGarXiv:2608.15266v12026
Guided Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
cs.MAcs.AIcs.LGarXiv:1709.06011v12017
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu, Hehui Zhang, Yihan Lin +3
cs.LGcs.AIarXiv:2011.06176v12020
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach
Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim +1
cs.AIcs.DCcs.LGarXiv:2304.07948v12023
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong, Shibani Santurkar, Aleksander Mądry
cs.LGstat.MLarXiv:2105.04857v12021
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho, Xi Chen, Aravind Srinivas +2
cs.LGcs.NEstat.MLarXiv:1902.00275v22019
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
Mohammad Pedramfar, Vaneet Aggarwal
math.OCcs.CCcs.LGarXiv:2405.00065v42024
Variational Graph Auto-Encoders
Thomas N. Kipf, Max Welling
stat.MLcs.LGarXiv:1611.07308v12016
CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration
J. Raphael Schäfer, Kai Geissler, Till Nicke +27
cs.CVcs.LGarXiv:2608.16268v12026
A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications
Anish Shastri, Neharika Valecha, Enver Bashirov +5
cs.NIcs.LGeess.SParXiv:2112.05593v32021
Recurrent Attentional Networks for Saliency Detection
Jason Kuen, Zhenhua Wang, Gang Wang
cs.CVcs.LGstat.MLarXiv:1604.03227v12016
On the Effects of Data Scale on UI Control Agents
Wei Li, William Bishop, Alice Li +4
cs.AIcs.LGarXiv:2406.03679v62024
An Evaluation of the Human-Interpretability of Explanation
Isaac Lage, Emily Chen, Jeffrey He +4
cs.LGstat.MLarXiv:1902.00006v22019
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit S. Sohoni, Jared A. Dunnmon, Geoffrey Angus +2
cs.LGcs.CVarXiv:2011.12945v22020
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, Shengding Hu +6
cs.LGcs.AIstat.MLarXiv:1812.08434v62018
Generalizing Dataset Distillation via Deep Generative Prior
George Cazenavette, Tongzhou Wang, Antonio Torralba +2
cs.CVcs.AIcs.LGarXiv:2305.01649v22023
DOCCI: Descriptions of Connected and Contrasting Images
Yasumasa Onoe, Sunayana Rane, Zachary Berger +9
cs.CVcs.AIcs.CLarXiv:2404.19753v12024

Machine Learning

A Long-Short Flow-Map Perspective for Drifting Models

BLOKS: Scaling Kernel Solvers with Sketched Block Preconditioning

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents

Hard Negative Mixing for Contrastive Learning

On Formalizing Fairness in Prediction with Machine Learning

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

End-to-End Referring Video Object Segmentation with Multimodal Transformers

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Online Learning under Delayed Feedback

Complicated Table Structure Recognition

Hyperbolic Graph Convolutional Neural Networks

Graph Neural Networks with convolutional ARMA filters

Loss-Parameterized Fisher Width Along Learning Trajectories

Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

U-Net and its variants for medical image segmentation: theory and applications

THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout

Self-Supervised Bug Detection and Repair

Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints

National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?

Self-Play Preference Optimization for Language Model Alignment

Completion Aware Guidance for World Action Models

Veridical Data Science

Theory of Deep Learning III: explaining the non-overfitting puzzle

A Random Matrix Approach to Neural Networks

Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

Infrastructure-based Monocular 3D Vehicle Localization Framework with Experimental Validation

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

Adapting Auxiliary Losses Using Gradient Similarity

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Automating biomedical data science through tree-based pipeline optimization

Bootstrapping User and Item Representations for One-Class Collaborative Filtering

Deep Multi-View Enhancement Hashing for Image Retrieval

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Evaluating and Boosting Uncertainty Quantification in Classification

Self-attention Does Not Need $O(n^2)$ Memory

Better Exploration with Optimistic Actor-Critic

BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces

Guided Deep Reinforcement Learning for Swarm Systems

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing

Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach

Leveraging Sparse Linear Layers for Debuggable Deep Networks

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization

Variational Graph Auto-Encoders

CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration

A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications

Recurrent Attentional Networks for Saliency Detection

On the Effects of Data Scale on UI Control Agents

An Evaluation of the Human-Interpretability of Explanation

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Graph Neural Networks: A Review of Methods and Applications

Generalizing Dataset Distillation via Deep Generative Prior

DOCCI: Descriptions of Connected and Contrasting Images