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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9,001 to 9,060 of 20,201

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang +2
cs.LGarXiv:2109.10259v22021
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel +2
stat.MLcs.LGmath.OCarXiv:1303.5145v42013
Scaling description of generalization with number of parameters in deep learning
Mario Geiger, Arthur Jacot, Stefano Spigler +6
cond-mat.dis-nncs.LGarXiv:1901.01608v52019
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Jingyi Wang, Guoliang Dong, Jun Sun +2
cs.LGcs.SEstat.MLarXiv:1812.05793v22018
Improving model calibration with accuracy versus uncertainty optimization
Ranganath Krishnan, Omesh Tickoo
cs.LGarXiv:2012.07923v12020
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Jan Peters +1
cs.ROcs.LGarXiv:2209.03855v42022
HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design
Ge Sun, Gervasio Zaldivar, Yuan Tian +5
physics.chem-phcond-mat.mtrl-scics.AIarXiv:2609.02746v12026
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Yu Wang, Yilin Shen, Hongxia Jin
cs.CLcs.AIcs.LGarXiv:1812.10235v12018
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh, Timothée Masquelier
cs.NEcs.CVcs.LGarXiv:1910.09495v42019
Patch Slimming for Efficient Vision Transformers
Yehui Tang, Kai Han, Yunhe Wang +4
cs.CVcs.LGarXiv:2106.02852v22021
Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya +1
stat.MLcs.ITcs.LGarXiv:2609.01999v12026
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Ceyuan Yang, Yujun Shen, Bolei Zhou
cs.CVcs.GRcs.LGarXiv:1911.09267v32019
Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
cs.LGmath.NAarXiv:1303.4207v72013
Batch Active Learning at Scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile +4
cs.LGcs.AIarXiv:2107.14263v12021
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li, Yarin Gal
cs.LGstat.MLarXiv:1703.02914v12017
Should You Mask 15% in Masked Language Modeling?
Alexander Wettig, Tianyu Gao, Zexuan Zhong +1
cs.CLcs.LGarXiv:2202.08005v32022
Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance
Sai Niranjan Ramachandran, Suvrit Sra
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2609.02373v12026
Humanoid Safe Stop via Learned Stoppability Value
Junfeng Long, Pieter Abbeel, Koushil Sreenath +3
cs.ROcs.LGeess.SYarXiv:2609.02358v12026
Logical Neural Networks
Ryan Riegel, Alexander Gray, Francois Luus +12
cs.AIcs.LGcs.LOarXiv:2006.13155v12020
Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment
Harish Saragadam, Sudhanshu Sharma, Ipsha Routray
cs.IRcs.LGarXiv:2609.01618v12026
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang +1
cs.LGcs.AImath.OCarXiv:1910.03016v42019
Prompt-Space Meta-Learning Does Not Transfer Across Users: A Frozen-LLM Negative Result
Liam Byrne, David Dylan, Orla Fitzgerald +4
cs.LGarXiv:2609.01615v12026
The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue, Ian Osband, Remi Munos +1
cs.AIcs.LGmath.OCarXiv:1709.05380v42017
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo +1
quant-phcs.LGstat.MLarXiv:2208.11060v22022
When Literature Data Mislead Artificial Intelligence in Materials Discovery
Qian Wang, Ying Li, Ryuhei Sato +4
cs.IRcond-mat.mtrl-scics.CEarXiv:2609.01621v12026
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Davis Rempe, Jonah Philion, Leonidas J. Guibas +2
cs.CVcs.LGcs.ROarXiv:2112.05077v22021
Convolutional Conditional Neural Processes
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong +3
stat.MLcs.LGarXiv:1910.13556v52019
PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems
Joyjit Roy, Samaresh Kumar Singh, Sushanta Das
cs.MAcs.CVcs.ETarXiv:2609.01623v12026
RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems
Weidi Pan, He Ma, Shuhao Ye +6
cs.IRcs.AIcs.LGarXiv:2609.01622v12026
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier +2
cs.LGstat.MLarXiv:1806.03884v22018
Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon S. Du, Sham M. Kakade, Jason D. Lee +4
cs.LGcs.AImath.OCarXiv:2103.10897v32021
Hybrid Retrieval-Augmented Generation with Knowledge Graph Expansion, RRF Fusion, and Per-Chunk Grounded Evaluation for Enterprise Document Search
Harish Saragadam, Sudhanshu Sharma, Meghana Pujari
cs.IRcs.AIcs.LGarXiv:2609.01617v12026
A Common Measure of Communication for Speech Brain-Computer Interfaces
Dulhan Jayalath, Benjamin Ballyk, Oiwi Parker Jones
cs.LGq-bio.NCarXiv:2609.02887v12026
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, John Hopfield
q-bio.NCcond-mat.dis-nncs.CLarXiv:2008.06996v32020
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
T. Tony Cai, Yichen Wang, Linjun Zhang
stat.MLcs.CRcs.DSarXiv:1902.04495v52019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
cs.DCcs.LGarXiv:1902.01000v12019
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds
Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst +1
cs.LGcs.CVcs.SIarXiv:1303.2221v12013
RouterBench: A Benchmark for Multi-LLM Routing System
Qitian Jason Hu, Jacob Bieker, Xiuyu Li +5
cs.LGcs.AIarXiv:2403.12031v22024
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste +1
stat.MLcs.LGarXiv:1605.08636v42016
Deep Learning in Finance
J. B. Heaton, N. G. Polson, J. H. Witte
cs.LGarXiv:1602.06561v32016
Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents
Zongyue Li, Chengyue Yu, Lei Zang +3
cs.LGarXiv:2608.29685v12026
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
Chaoning Zhang, Chenshuang Zhang, Sheng Zheng +14
cs.AIcs.CVcs.LGarXiv:2303.11717v12023
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks
Dino Ienco, Raffaele Gaetano, Claire Dupaquier +1
cs.CVcs.LGarXiv:1704.04055v12017
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis +4
cs.LGcs.CRarXiv:1910.02578v32019
Stochastic Variance-Reduced Policy Gradient
Matteo Papini, Damiano Binaghi, Giuseppe Canonaco +2
cs.LGstat.MLarXiv:1806.05618v12018
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu +1
stat.MLcs.LGarXiv:1705.07541v22017
Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang +3
cs.LGcs.AIarXiv:2110.07580v42021
A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1
stat.MLcs.LGarXiv:2608.30040v12026
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan +5
cs.CVcs.AIcs.LGarXiv:2111.03260v12021
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi +1
cs.CLcs.LGarXiv:2311.07914v22023
A systematic comparison of supervised classifiers
D. R. Amancio, C. H. Comin, D. Casanova +4
cs.LGarXiv:1311.0202v12013
Image Data Augmentation Approaches: A Comprehensive Survey and Future directions
Teerath Kumar, Alessandra Mileo, Rob Brennan +1
cs.CVcs.AIcs.LGarXiv:2301.02830v42023
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration
Jesus Lago, Fjo De Ridder, Peter Vrancx +1
q-fin.STcs.CEcs.LGarXiv:1708.07061v32017
Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models
Aditi Sarker, Nazreen Shah, Rafi Ibn Sultan +3
cs.CVcs.AIcs.LGarXiv:2608.29996v12026
The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF
Niko Brümmer, Edward de Villiers
stat.APcs.LGstat.MLarXiv:1304.2865v12013
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
Toufique Ahmed, Kunal Suresh Pai, Premkumar Devanbu +1
cs.SEcs.LGarXiv:2304.06815v32023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
cs.LGarXiv:2304.05206v12023
Synthetic Data -- what, why and how?
James Jordon, Lukasz Szpruch, Florimond Houssiau +5
cs.LGarXiv:2205.03257v12022
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News
Yang Li, Yi Pan
q-fin.STcs.LGarXiv:2007.12620v12020
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Roy H. Campbell
cs.DCcs.LGcs.PFarXiv:1803.03288v22018

Machine Learning

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Node-Based Learning of Multiple Gaussian Graphical Models

Scaling description of generalization with number of parameters in deep learning

Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing

Improving model calibration with accuracy versus uncertainty optimization

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design

A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron

Patch Slimming for Efficient Vision Transformers

Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling

Batch Active Learning at Scale

Dropout Inference in Bayesian Neural Networks with Alpha-divergences

Should You Mask 15% in Masked Language Modeling?

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance

Humanoid Safe Stop via Learned Stoppability Value

Logical Neural Networks

Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?

Prompt-Space Meta-Learning Does Not Transfer Across Users: A Frozen-LLM Negative Result

The Uncertainty Bellman Equation and Exploration

Exponential concentration in quantum kernel methods

When Literature Data Mislead Artificial Intelligence in Materials Discovery

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior

Convolutional Conditional Neural Processes

PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems

RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Bilinear Classes: A Structural Framework for Provable Generalization in RL

Hybrid Retrieval-Augmented Generation with Knowledge Graph Expansion, RRF Fusion, and Per-Chunk Grounded Evaluation for Enterprise Document Search

A Common Measure of Communication for Speech Brain-Computer Interfaces

Large Associative Memory Problem in Neurobiology and Machine Learning

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

RouterBench: A Benchmark for Multi-LLM Routing System

PAC-Bayesian Theory Meets Bayesian Inference

Deep Learning in Finance

Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks

Differential Privacy-enabled Federated Learning for Sensitive Health Data

Stochastic Variance-Reduced Policy Gradient

Learning from Complementary Labels

Graph Condensation for Graph Neural Networks

A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey

A systematic comparison of supervised classifiers

Image Data Augmentation Approaches: A Comprehensive Survey and Future directions

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration

Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models

The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Synthetic Data -- what, why and how?

A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News

TicTac: Accelerating Distributed Deep Learning with Communication Scheduling