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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19,381 to 19,440 of 20,199

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
Amir Mann, Gal Michael Harari, Merav Keidar +1
cs.LGcs.CVarXiv:2606.13364v12026
Looped Language Models Improve Compositional Tool Calling
Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò
cs.AIcs.LGarXiv:2608.18171v12026
Where A Small Language Model Helps in Invoice Categorisation, Understood Through Embedding Geometry
Emma Ceccherini, Daniel Lawson, Anjulika Salhan
stat.MLcs.LGarXiv:2608.18033v12026
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky +2
cs.LGstat.MLarXiv:1704.00028v32017
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.LGarXiv:1603.05027v32016
Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport
Xiang Li, Yuqi Wang, Casey C. Heirman +2
cs.CVcs.LGarXiv:2608.17151v12026
Training Verifiers to Solve Math Word Problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian +9
cs.LGcs.CLarXiv:2110.14168v22021
Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines
Kaiji Sekimoto, Muneki Yasuda
stat.MLcond-mat.dis-nncs.LGarXiv:2608.17450v12026
Hybrid ML for Lightweight Pre-Route Delay Estimation in Open-Source IC Design
Marvin Castro Castro, Erick Carvajal Barboza
cs.LGarXiv:2608.17914v12026
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
cs.LGstat.MLarXiv:1703.05175v22017
WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization
Jiahao Huang, Rongpeng Li, Zhifeng Zhao +2
cs.MAcs.LGarXiv:2608.16955v12026
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz +11
cs.LGcs.AIstat.MLarXiv:1612.00796v22016
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu +1
cs.CVcs.AIcs.CLarXiv:2304.08485v22023
Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems
Araf Rahman, M Sabbir Salek, Mashrur Chowdhury
cs.CRcs.LGarXiv:2608.17093v12026
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma +3
cs.LGstat.MLarXiv:2011.13456v22020
DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, Steven Skiena
cs.SIcs.LGarXiv:1403.6652v22014
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros +5
cs.LGcs.CVarXiv:1502.03044v32015
Wasted large language models: A life cycle thinking approach
Erik Johannes Husom, Maria Emine Nylund, Ophelia Prillard
cs.CYcs.HCcs.LGarXiv:2608.17055v12026
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin +1
cs.CLcs.LGarXiv:1607.04606v22016
SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1608.03983v52016
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao, Kashif Rasul, Roland Vollgraf
cs.LGcs.CVstat.MLarXiv:1708.07747v22017
Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images
Arman Zareian Jahromi, Vishnu Bondalakunta, Mohammad Akbar Bin Shah +3
cs.CRcs.LGarXiv:2608.17147v12026
MAGPIE-Net: Predicting short-duration heavy-rainfall events in station neighborhoods from multitemporal FY-4A AGRI observations
Xiang Lin, Yunying Li, Chengzhi Ye +2
cs.LGarXiv:2608.17753v12026
Conformal Prediction for Molecular Properties under Label Shift
Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2
cs.LGarXiv:2608.17678v12026
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, Li Fei-Fei
cs.CVcs.LGarXiv:1603.08155v12016
Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning
Hoda Yamani, Yuning Xing, Koen van Rijnsoever +2
cs.LGcs.ROarXiv:2608.17347v12026
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan +5
stat.MLcs.LGcs.NEarXiv:1505.07818v42015
Conditional Generative Adversarial Nets
Mehdi Mirza, Simon Osindero
cs.LGcs.AIcs.CVarXiv:1411.1784v12014
TabNSM: Neural Sparse Mixer for Tabular Regression
Ali Eslamian, Qiang Cheng
cs.LGcs.CEarXiv:2608.18026v12026
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
stat.MLcs.LGarXiv:1506.02142v62015
Deep Learning in Neural Networks: An Overview
Juergen Schmidhuber
cs.NEcs.LGarXiv:1404.7828v42014
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue +5
cs.CVcs.LGcs.NEarXiv:1408.5093v12014
Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs
Torben Schiz, Pedro H. J. Nardelli, Henrik Ebel
eess.SYcs.DCcs.LGarXiv:2608.17592v12026
Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction
Ayusha Abbas, Saram Abbas, Kabita Adhikari
cs.LGarXiv:2608.17775v12026
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
cs.LGcs.AIcs.CVarXiv:2105.05233v42021
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal +5
cs.CLcs.LGstat.MLarXiv:1910.13461v12019
Summaries:한국어
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015
Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome Groups
Zeyun Deng, Yuzhe Lu, Yawei Wang +6
cs.ROcs.LGarXiv:2608.17423v12026
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin +1
cs.LGstat.MLarXiv:1710.09412v22017
node2vec: Scalable Feature Learning for Networks
Aditya Grover, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1607.00653v12016
Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and a Tight Univariate Rate
Huibo Xu, Shi Fu, Qixin Zhang +1
stat.MLcs.LGstat.AParXiv:2608.17573v12026
Layer Normalization
Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton
stat.MLcs.LGarXiv:1607.06450v12016
Efficient Resource Optimization for Split Federated Learning
Wei Wei, Xianhao Chen
cs.LGarXiv:2608.17849v12026
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
cs.NEcs.LGstat.MLarXiv:1812.04948v32018
Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization
Travis Zhang, Christian Belardi, Justin Lovelace +4
cs.LGcs.CVarXiv:2608.18040v12026
Fourth-Moment Geometry of Rademacher Sums
Peigan Gao, Jian Qian
cs.LGmath.PRarXiv:2608.17802v12026
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho +1
cs.NEcs.LGarXiv:1412.3555v12014
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, Soumith Chintala
cs.LGcs.CVarXiv:1511.06434v22015
Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule
Cian Higgins, Gerard Carrigan, Pinar Sungu Isiacik +1
cs.LGarXiv:2608.18021v12026
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel +5
cs.LGstat.MLarXiv:1509.02971v62015
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever +4
cs.CVcs.LGcs.NEarXiv:1312.6199v42013
Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment
Zhen Zhang, Ahmad Hafez, Amr Alanwar
cs.LGarXiv:2608.17713v12026
Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
Anh Tuan Nguyen, Viet Anh Nguyen
cs.LGstat.MLarXiv:2608.17343v12026
AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM
Fahad Ahammed, Omar Faruq Shikdar, Navid Zaman +3
cs.CVcs.LGarXiv:2608.17923v12026
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le
cs.LGcs.CVstat.MLarXiv:1905.11946v52019
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1706.02216v42017
GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models
Peizheng Guo, Jianqi Zhang, Xingyu Zhang +4
cs.LGarXiv:2608.17411v12026
Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2602.14784v12026
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.AIcs.LGarXiv:1502.01852v12015

Machine Learning

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision

Looped Language Models Improve Compositional Tool Calling

Where A Small Language Model Helps in Invoice Categorisation, Understood Through Embedding Geometry

Improved Training of Wasserstein GANs

Identity Mappings in Deep Residual Networks

Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Training Verifiers to Solve Math Word Problems

Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines

Hybrid ML for Lightweight Pre-Route Delay Estimation in Open-Source IC Design

Prototypical Networks for Few-shot Learning

WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization

Overcoming catastrophic forgetting in neural networks

Visual Instruction Tuning

Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems

Score-Based Generative Modeling through Stochastic Differential Equations

DeepWalk: Online Learning of Social Representations

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Wasted large language models: A life cycle thinking approach

Enriching Word Vectors with Subword Information

SGDR: Stochastic Gradient Descent with Warm Restarts

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images

MAGPIE-Net: Predicting short-duration heavy-rainfall events in station neighborhoods from multitemporal FY-4A AGRI observations

Conformal Prediction for Molecular Properties under Label Shift

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning

Domain-Adversarial Training of Neural Networks

Conditional Generative Adversarial Nets

TabNSM: Neural Sparse Mixer for Tabular Regression

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Deep Learning in Neural Networks: An Overview

Caffe: Convolutional Architecture for Fast Feature Embedding

Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs

Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction

Diffusion Models Beat GANs on Image Synthesis

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome Groups

mixup: Beyond Empirical Risk Minimization

node2vec: Scalable Feature Learning for Networks

Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and a Tight Univariate Rate

Layer Normalization

Efficient Resource Optimization for Split Federated Learning

A Style-Based Generator Architecture for Generative Adversarial Networks

Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization

Fourth-Moment Geometry of Rademacher Sums

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule

Towards Deep Learning Models Resistant to Adversarial Attacks

Continuous control with deep reinforcement learning

Intriguing properties of neural networks

Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment

Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Inductive Representation Learning on Large Graphs

GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification