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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14,401 to 14,460 of 20,223

Secure Federated Matrix Factorization
Di Chai, Leye Wang, Kai Chen +1
cs.CRcs.LGarXiv:1906.05108v12019
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes, Pierre-Yves Oudeyer
cs.LGcs.AIcs.CVarXiv:1301.4862v12013
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
cs.CVcs.AIcs.LGarXiv:2209.07947v12022
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac +2
quant-phcs.LGstat.MLarXiv:1912.08278v22019
Self-Supervised Exploration via Disagreement
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta
cs.LGcs.AIcs.CVarXiv:1906.04161v12019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier +2
stat.MLcs.CRcs.LGarXiv:1908.11229v12019
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal +2
cs.LGstat.MLarXiv:1610.09512v22016
Persistent Anti-Muslim Bias in Large Language Models
Abubakar Abid, Maheen Farooqi, James Zou
cs.CLcs.LGarXiv:2101.05783v22021
Understanding artificial intelligence ethics and safety
David Leslie
cs.CYcs.AIcs.LGarXiv:1906.05684v12019
TidyBot: Personalized Robot Assistance with Large Language Models
Jimmy Wu, Rika Antonova, Adam Kan +6
cs.ROcs.AIcs.CLarXiv:2305.05658v22023
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue
Yair Rivenson, Hongda Wang, Zhensong Wei +3
cs.CVcs.LGphysics.med-pharXiv:1803.11293v12018
Deep Reinforcement Learning for De-Novo Drug Design
Mariya Popova, Olexandr Isayev, Alexander Tropsha
cs.AIcs.LGstat.MLarXiv:1711.10907v22017
Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning
Jintang Li, Yuhong Chen, Ruofan Wu +4
cs.LGcs.AIarXiv:2608.26732v12026
Phase recovery and holographic image reconstruction using deep learning in neural networks
Yair Rivenson, Yibo Zhang, Harun Gunaydin +2
cs.CVcs.IRcs.LGarXiv:1705.04286v12017
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Sheng Wang, Siqi Sun, Zhen Li +2
q-bio.BMcs.LGq-bio.QMarXiv:1609.00680v62016
A Survey of Machine Unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren +4
cs.LGcs.AIarXiv:2209.02299v62022
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita, Edward H. Lee, Boris Murmann
cs.NEcs.LGarXiv:1603.01025v22016
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
Michael P. Menden, Francesco Iorio, Mathew Garnett +4
q-bio.GNcs.CEcs.LGarXiv:1212.0504v32012
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky +2
cs.NEcs.CVcs.LGarXiv:1207.0580v12012
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Kristina Preuer, Philipp Renz, Thomas Unterthiner +2
cs.LGq-bio.QMstat.MLarXiv:1803.09518v32018
Learning Topic Models - Going beyond SVD
Sanjeev Arora, Rong Ge, Ankur Moitra
cs.LGcs.DScs.IRarXiv:1204.1956v22012
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
cs.LGcs.AIarXiv:2103.12057v22021
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman
cs.CVcs.AIcs.LGarXiv:1807.00275v22018
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia, Tongliang Liu, Nannan Wang +4
cs.LGstat.MLarXiv:1906.00189v22019
Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille, Stefano Soatto
stat.MLcs.LGstat.COarXiv:1611.01353v32016
Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan Sheng Foo +2
cs.LGstat.MLarXiv:1812.02288v12018
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta +9
cs.CLcs.AIcs.IRarXiv:2106.14463v32021
FinGPT: Open-Source Financial Large Language Models
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
q-fin.STcs.CLcs.LGarXiv:2306.06031v22023
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
Andy Zeng, Shuran Song, Johnny Lee +2
cs.ROcs.AIcs.CVarXiv:1903.11239v32019
Recipes for Steering and Scaling LLMs via Sampling
Jiajun He, Zongyu Guo, José Miguel Hernández-Lobato +1
cs.CLcs.LGarXiv:2608.26120v12026
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz +1
stat.MLcs.CVcs.LGarXiv:1707.05776v22017
Self-Augmented Diffusion Guidance for Physics-Informed Generation
Akira Osaka, Naoya Takeishi, Takehisa Yairi
cs.LGarXiv:2608.26748v12026
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun Xia, Lirong Wu, Jintao Chen +2
cs.LGcs.SIarXiv:2202.03104v32022
Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning
Julian Asilis, Shaddin Dughmi, Vatsal Sharan +3
cs.LGstat.MLarXiv:2608.26516v12026
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen, Saurabh Saxena, Lala Li +2
cs.CVcs.AIcs.CLarXiv:2109.10852v22021
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang, Kexin Pei, Justin Whitehouse +2
cs.LGcs.AIcs.LOarXiv:1809.08098v32018
Can a Model Catch Its Own Hallucinations for Free?: Label-Free Doubt Signals Hold Their Own Against a Labelled Dataset for Abstention
Ali Asaria, Tony Salomone, Deep Gandhi
cs.CLcs.LGarXiv:2608.26121v12026
High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube
Josef Dick, Michael Feischl, Fabian Zehetgruber
cs.LGmath.NAarXiv:2608.26526v12026
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi +3
cs.LGcs.AIquant-pharXiv:1907.00397v32019
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
cs.LGcs.CRstat.MLarXiv:1811.01057v12018
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian +6
cs.CLcs.LGarXiv:2306.03078v12023
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh, Pan Li, Cong Hao +1
cs.LGcs.AIarXiv:2106.05819v42021
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
Kunal Nagpal, Davis Foote, Yun Liu +17
cs.CVcs.LGarXiv:1811.06497v12018
Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores
Eichi Uehara
cs.CLcs.LGcs.SDarXiv:2608.26137v12026
AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking
Zining Wang, Tongkun Guan, Boming Chen +8
cs.CLcs.LGarXiv:2608.26141v12026
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha +5
cs.CVcs.LGarXiv:2111.06119v22021
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni +2
cs.LGarXiv:1802.10151v22018
Hierarchical Channel Stacking: A Structured Decision Framework for AI-Generated Image Detection
Saifullah Shoaib, Akash Borigi, Rupendra Lekkala +5
cs.CVcs.LGarXiv:2608.26648v12026
Attention Guided Graph Convolutional Networks for Relation Extraction
Zhijiang Guo, Yan Zhang, Wei Lu
cs.CLcs.LGarXiv:1906.07510v82019
Summaries:한국어
FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes
Prabhjot Singh, Somnath Luitel, Manmeet Singh +1
cs.CLcs.AIcs.LGarXiv:2608.26129v12026
SLM-Conditioned Hierarchical Relation Routing for Labeled Property Graph Learning
Michal Podstawski
cs.LGcs.CLarXiv:2608.26132v12026
A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou, Li Shen, Zequn Jie +2
cs.LGcs.CVmath.NAarXiv:1811.09358v32018
Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Media
Rajveer Singh Pall, Sameer Yadav
cs.CLcs.LGarXiv:2608.26138v12026
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens, Michael W. Mahoney
cs.LGcs.DSmath.NAarXiv:1303.1849v22013
Affix Cache for Diffusion Large Language Models
Kaihua Liang, An Zhong, Xin Tan +4
cs.CLcs.LGarXiv:2608.26140v12026
Simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans
cs.CVcs.LGstat.MLarXiv:2301.11093v22023
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell, Faruk Ahmed, Ross Girshick +2
cs.LGstat.MLarXiv:1511.06068v42015
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
cs.LGcs.CVstat.MLarXiv:2002.03754v32020
Physics-Informed Stochastic Configuration Machine: A Backpropagation-Free Neural Network with Fast Training for Nonlinear Differential Equations
Yuehao Song, Zhong Chen, Lihui Cen +2
math.NAcs.AIcs.LGarXiv:2608.26549v12026
Graph-Based Modeling of Financial Volatility Dynamics
Chuanzhen Wang, Alice Zhang, Wei Chen +1
q-fin.STcs.CLcs.LGarXiv:2608.26127v12026

Machine Learning

Secure Federated Matrix Factorization

Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

Omni-Dimensional Dynamic Convolution

Transfer learning in hybrid classical-quantum neural networks

Self-Supervised Exploration via Disagreement

White-box vs Black-box: Bayes Optimal Strategies for Membership Inference

Contextual Decision Processes with Low Bellman Rank are PAC-Learnable

Persistent Anti-Muslim Bias in Large Language Models

Understanding artificial intelligence ethics and safety

TidyBot: Personalized Robot Assistance with Large Language Models

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue

Deep Reinforcement Learning for De-Novo Drug Design

Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning

Phase recovery and holographic image reconstruction using deep learning in neural networks

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

A Survey of Machine Unlearning

Convolutional Neural Networks using Logarithmic Data Representation

Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

Improving neural networks by preventing co-adaptation of feature detectors

Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery

Learning Topic Models - Going beyond SVD

An Experimental Review on Deep Learning Architectures for Time Series Forecasting

Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera

Are Anchor Points Really Indispensable in Label-Noise Learning?

Information Dropout: Learning Optimal Representations Through Noisy Computation

Adversarially Learned Anomaly Detection

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

FinGPT: Open-Source Financial Large Language Models

TossingBot: Learning to Throw Arbitrary Objects with Residual Physics

Recipes for Steering and Scaling LLMs via Sampling

Optimizing the Latent Space of Generative Networks

Self-Augmented Diffusion Guidance for Physics-Informed Generation

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning

Pix2seq: A Language Modeling Framework for Object Detection

Efficient Formal Safety Analysis of Neural Networks

Can a Model Catch Its Own Hallucinations for Free?: Label-Free Doubt Signals Hold Their Own Against a Labelled Dataset for Abstention

High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube

Variational Quantum Circuits for Deep Reinforcement Learning

Semidefinite relaxations for certifying robustness to adversarial examples

SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer

Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores

AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking

Fine-Grained Image Analysis with Deep Learning: A Survey

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

Hierarchical Channel Stacking: A Structured Decision Framework for AI-Generated Image Detection

Attention Guided Graph Convolutional Networks for Relation Extraction

FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes

SLM-Conditioned Hierarchical Relation Routing for Labeled Property Graph Learning

A Sufficient Condition for Convergences of Adam and RMSProp

Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Media

Revisiting the Nystrom Method for Improved Large-Scale Machine Learning

Affix Cache for Diffusion Large Language Models

Simple diffusion: End-to-end diffusion for high resolution images

Reducing Overfitting in Deep Networks by Decorrelating Representations

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Physics-Informed Stochastic Configuration Machine: A Backpropagation-Free Neural Network with Fast Training for Nonlinear Differential Equations

Graph-Based Modeling of Financial Volatility Dynamics