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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23,221 to 23,280 of 33,240

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri, Heinrich Jiang, Yi Tay +1
cs.LGcs.AIarXiv:2106.15147v22021
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection
Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier +3
eess.IVcs.CVcs.LGarXiv:2006.09158v12020
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei +3
cs.DCcs.CLcs.LGarXiv:2610.13325v12026
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He +1
cs.LGcs.CVcs.SIarXiv:2007.06559v22020
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu +13
cs.LGcs.AIcs.IRarXiv:2304.05055v32023
Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibility
Harshit Gupta
cs.DBcs.IRcs.LGarXiv:2609.04269v12026
DAG Structure Learning with Node-Varying Heavy-Tailed Disturbances
Robin Francis, Sundeep Prabhakar Chepuri
cs.LGarXiv:2610.13304v12026
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio
Jingcheng Ni, Zekun Li, Zhiyang Dou +6
cs.CVcs.GRcs.LGarXiv:2610.13300v12026
From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection
Zhibo Hou, Fan Zhao, Zhiyu An +1
cs.CLcs.LGarXiv:2608.25243v12026
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou, Quan Cui, Xiu-Shen Wei +1
cs.CVcs.LGarXiv:1912.02413v42019
ProToMEx: Rapid, Interpretable Explanations via Structured Representations
Athina Georgara, Adarsh Valoor, Sarvapali D. Ramchurn
cs.LGcs.AIarXiv:2609.04265v12026
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi +1
stat.MLcs.DCcs.ITarXiv:1711.04969v22017
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana, Seiichi Uchida
cs.LGstat.MLarXiv:2004.08780v12020
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong, Zhao Song, Prateek Jain +2
cs.LGcs.DSstat.MLarXiv:1706.03175v12017
Training GANs with Optimism
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis +1
cs.LGcs.GTstat.MLarXiv:1711.00141v22017
Patent Claim Generation by Fine-Tuning OpenAI GPT-2
Jieh-Sheng Lee, Jieh Hsiang
cs.CLcs.LGstat.MLarXiv:1907.02052v12019
TxGemma: Efficient and Agentic LLMs for Therapeutics
Eric Wang, Samuel Schmidgall, Paul F. Jaeger +6
cs.AIcs.CLcs.LGarXiv:2504.06196v12025
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Zachary Charles +3
stat.MLcs.DCcs.LGarXiv:1806.04090v32018
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz, Steven Lang, Antonio Vergari +6
cs.LGstat.MLarXiv:2004.06231v22020
Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning
Xi Zhang, Boyu Diao, Zesen Chen +3
cs.LGarXiv:2610.13215v12026
Predicting integers from continuous parameters
Bas Maat, Peter Bloem
cs.LGarXiv:2602.10751v32026
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu, Larry Davis, Mario Fritz
cs.CVcs.CRcs.CYarXiv:1811.08180v32018
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao +1
cs.IRcs.LGcs.SIarXiv:1905.13129v12019
Disentangling factors of variation in deep representations using adversarial training
Michael Mathieu, Junbo Zhao, Pablo Sprechmann +2
cs.LGstat.MLarXiv:1611.03383v12016
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
cs.LGcs.AIcs.ROarXiv:2110.05038v32021
Transductive Rademacher Complexity and its Applications
Ran El-Yaniv, Dmitry Pechyony
cs.LGcs.AIstat.MLarXiv:1401.3441v12014
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole +3
cs.CVcs.LGarXiv:2005.10243v32020
Image Diffusion Preview with Consistency Solver
Fu-Yun Wang, Hao Zhou, Liangzhe Yuan +8
cs.LGcs.CVarXiv:2512.13592v22025
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Ruijun Xu
cs.LGcs.AIcs.CVarXiv:1907.01845v52019
Phase Marginalization for Patch-Grid Instability in Vision Transformers
Oğuzhan Ercan
cs.CVcs.LGarXiv:2606.08132v12026
Block-Sparse Recurrent Neural Networks
Sharan Narang, Eric Undersander, Gregory Diamos
cs.LGcs.AIstat.MLarXiv:1711.02782v12017
Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope
Matthew Loftus
cs.LGcond-mat.stat-mechmath.ATarXiv:2609.09159v12026
Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders
Claudio Scardino, Stefano Riva, Carolina Introini +4
physics.comp-phcs.LGphysics.flu-dynarXiv:2608.28366v12026
e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur, Matthew Y. R. Yang, Charlie Snell +5
cs.LGcs.CLarXiv:2506.09026v22025
FwdLLM: Efficient FedLLM using Forward Gradient
Mengwei Xu, Dongqi Cai, Yaozong Wu +2
cs.AIcs.LGarXiv:2308.13894v22023
Word Embedding Visualization Via Dictionary Learning
Juexiao Zhang, Yubei Chen, Brian Cheung +1
cs.CLcs.LGarXiv:1910.03833v22019
Exploiting Gradients in Bayesian Inference of Expensive Simulators
Šimon Soldát, Václav Šmídl
cs.LGstat.MLarXiv:2610.12076v12026
Deep Generalized Canonical Correlation Analysis
Adrian Benton, Huda Khayrallah, Biman Gujral +3
cs.LGcs.AIstat.MLarXiv:1702.02519v22017
UniRE: A Unified Label Space for Entity Relation Extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu +3
cs.CLcs.LGarXiv:2107.04292v12021
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
cs.MAcs.AIcs.LGarXiv:1810.05587v32018
Geometry-physics confounding impairs PDE learning across varying domains
Yinghao Cheng, Gengxiang Chen, Xu Liu +6
cs.LGarXiv:2609.38623v12026
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz +1
cs.AIcs.LGarXiv:2007.06267v22020
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang, Yanqi Chen, Jianhao Ding +7
cs.NEcs.LGcs.SEarXiv:2310.16620v12023
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni +2
cs.LGarXiv:1802.10151v22018
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Guanya Shi, Xichen Shi, Michael O'Connell +5
cs.ROcs.LGarXiv:1811.08027v22018
Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation
Siyu Xu, Zijian Wang, Yunke Wang +3
cs.ROcs.LGarXiv:2512.07472v12025
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction
Chenguang Wang, Ming Li, Xinyue Zeng +4
cs.CLcs.AIcs.CYarXiv:2606.28186v32026
The ALAMO approach to machine learning
Zachary T. Wilson, Nikolaos V. Sahinidis
cs.LGstat.MLarXiv:1705.10918v12017
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani +1
cs.CVcs.LGarXiv:2110.07604v32021
Why Heavy-Tailed Weight Spectra Predict Model Quality
Joseph Wilson, Chris van der Heide, Liam Hodgkinson +3
stat.MLcs.LGarXiv:2610.13123v12026
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1808.10792v22018
Learned Adaptive Multiresolution Diffusion Imaging
Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås +1
math.NAcs.LGcs.NAarXiv:2610.07884v12026
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
cs.LGcs.CVarXiv:1511.04599v32015
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba +1
cs.LGcs.AIcs.ROarXiv:1912.01603v32019
A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment
Balaji Venkateswaran
cs.AIcs.LGarXiv:2609.05146v12026
Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin, Sunghwan Joo, Jaeryun Yim +3
cs.LGstat.APstat.MLarXiv:1811.06692v12018
Scaling RNA Foundation Models through Iterative Refinement
Pengan Chen, Liang Hong, Xinyuan Liu +6
cs.LGarXiv:2610.13106v12026
Quantifying Attention Flow in Transformers
Samira Abnar, Willem Zuidema
cs.LGcs.AIcs.CLarXiv:2005.00928v22020
Croissant: A Metadata Format for ML-Ready Datasets
Mubashara Akhtar, Omar Benjelloun, Costanza Conforti +28
cs.LGcs.AIcs.DBarXiv:2403.19546v32024
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi, Qihao Zhou, Lei Lei +1
cs.LGcs.AIarXiv:2108.11887v22021

Machine Learning

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Taking Tokenization off the Host for Agentic LLM Serving

Graph Structure of Neural Networks

A Comprehensive Survey on Deep Graph Representation Learning

Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibility

DAG Structure Learning with Node-Varying Heavy-Tailed Disturbances

Sonic-AMG: Streaming Human Motion Generation from Spatial Audio

From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

ProToMEx: Rapid, Interpretable Explanations via Structured Representations

Straggler Mitigation in Distributed Optimization Through Data Encoding

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

Recovery Guarantees for One-hidden-layer Neural Networks

Training GANs with Optimism

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

TxGemma: Efficient and Agentic LLMs for Therapeutics

ATOMO: Communication-efficient Learning via Atomic Sparsification

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning

Predicting integers from continuous parameters

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Disentangling factors of variation in deep representations using adversarial training

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Transductive Rademacher Complexity and its Applications

What Makes for Good Views for Contrastive Learning?

Image Diffusion Preview with Consistency Solver

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

Phase Marginalization for Patch-Grid Instability in Vision Transformers

Block-Sparse Recurrent Neural Networks

Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope

Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs

FwdLLM: Efficient FedLLM using Forward Gradient

Word Embedding Visualization Via Dictionary Learning

Exploiting Gradients in Bayesian Inference of Expensive Simulators

Deep Generalized Canonical Correlation Analysis

UniRE: A Unified Label Space for Entity Relation Extraction

A Survey and Critique of Multiagent Deep Reinforcement Learning

Geometry-physics confounding impairs PDE learning across varying domains

BoxE: A Box Embedding Model for Knowledge Base Completion

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

Neural Lander: Stable Drone Landing Control using Learned Dynamics

Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation

Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction

The ALAMO approach to machine learning

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Why Heavy-Tailed Weight Spectra Predict Model Quality

Bottom-Up Abstractive Summarization

Learned Adaptive Multiresolution Diffusion Imaging

DeepFool: a simple and accurate method to fool deep neural networks

Dream to Control: Learning Behaviors by Latent Imagination

A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment

Subtask Gated Networks for Non-Intrusive Load Monitoring

Scaling RNA Foundation Models through Iterative Refinement

Quantifying Attention Flow in Transformers

Croissant: A Metadata Format for ML-Ready Datasets

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges