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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19,321 to 19,380 of 20,199

Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
cs.CVcs.LGarXiv:1511.04587v22015
An overview of gradient descent optimization algorithms
Sebastian Ruder
cs.LGarXiv:1609.04747v22016
Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson
Tanay Chowdhury, Saeideh Shahrokh Esfahani
cs.AIcs.LGarXiv:2608.18531v12026
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala +3
cs.CVcs.LGcs.NEarXiv:1912.04958v22019
Gaussian Error Linear Units (GELUs)
Dan Hendrycks, Kevin Gimpel
cs.LGarXiv:1606.08415v52016
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao, Yann LeCun
cs.LGcs.CLarXiv:1509.01626v32015
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto, Herke van Hoof, David Meger
cs.AIcs.LGstat.MLarXiv:1802.09477v32018
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, Quoc V. Le
cs.CVcs.LGeess.IVarXiv:1911.09070v72019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
cs.CLcs.AIcs.LGarXiv:1609.08144v22016
SESSE: Sketch, Expand, Sort, Summarize, Evaluate -- LLM-as-Judge Evaluation via Structured Decomposition
Dae Lee, Mihai Delgeanu, Adel Youssef
cs.AIcs.LGarXiv:2608.18303v12026
Neural Ordinary Differential Equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt +1
cs.LGcs.AIstat.MLarXiv:1806.07366v52018
Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
Elias Schubert, Felix Bießmann
cs.AIcs.CRcs.IRarXiv:2608.18289v12026
Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study
Shriniwas Ramesh Suram
cs.AIcs.LGarXiv:2608.18261v12026
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
cs.LGarXiv:1711.00937v22017
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran +1
cs.NEcs.CVcs.LGarXiv:1506.02626v32015
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord, Sander Dieleman, Heiga Zen +6
cs.SDcs.LGarXiv:1609.03499v22016
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, Qiqi Yan
cs.LGarXiv:1703.01365v22017
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
cs.LGcs.CRstat.MLarXiv:1912.04977v32019
SW-ProxyCE: Zero-Query Adversarial Transfer from Public EEG Encoders to Private Downstream Models
Linhua Cong, Dingkun Liu, Dongrui Wu
cs.LGarXiv:2608.16931v12026
Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction
Minjun Kim, Jong Hak Moon
cs.LGarXiv:2608.16929v12026
FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud
Dheeraj Mohandas Pai, Lu Xian
cs.AIcs.LGarXiv:2608.18136v12026
Trust Region Policy Optimization
John Schulman, Sergey Levine, Philipp Moritz +2
cs.LGarXiv:1502.05477v52015
Matching Networks for One Shot Learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap +2
cs.LGstat.MLarXiv:1606.04080v22016
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine +1
cs.NEcs.LGstat.MLarXiv:1710.10196v32017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
cs.LGstat.MLarXiv:1606.09375v32016
Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
Sungwon Chae, Keonwoo Kim, Hoki Kim +2
cs.AIcs.LGarXiv:2608.18086v12026
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1605.07146v42016
Benchmarking Classical and Transformer-Based Models for Document Sensitivity Classification
Aleesha Zainab, Muhammad Ahmed Khalid, Faheem Ullah Khan +1
cs.LGarXiv:2608.16928v12026
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang, Zhiding Yu +3
cs.CVcs.LGarXiv:2105.15203v32021
Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart +4
cs.CYcs.AIcs.CLarXiv:2009.03300v32020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser +9
cs.AIcs.LGcs.NEarXiv:1910.10045v22019
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova +1
cs.LGcs.AIcs.CLarXiv:2606.11854v12026
Dynamic Regime-Aware Conformal Calibration for Reliable Economic Forecast Intervals under Multiple Distribution Shifts
Bogdan Oancea
cs.LGarXiv:2608.17079v12026
Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method
Ye Fang, Chuan-Xian Ren
cs.SIcs.LGarXiv:2608.16923v12026
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang +3
cs.CLcs.LGarXiv:1906.08237v22019
Causal Discovery in Equal Variance Linear Gaussian DAGs via SURE-Tuned Ridge Regression
Sambit Mishra, Urbashi Mitra
cs.LGeess.SPstat.MLarXiv:2608.17132v12026
Diagonal Multi-omics Integration of Heterogenous Datasets
Maksim V. Kukushkin, Mikhail S. Arbatskiy, Dmitriy E. Balandin +1
stat.MLcs.LGmath.FAarXiv:2608.16968v12026
DOW-KE: Anchor-Free Multi-Layer Knowledge Editing via Direct End-to-End Weight Optimization
Ran Chen, Junbo Zhang, Qianli Zhou +2
cs.LGarXiv:2608.16932v12026
When is Your LLM Steerable?
Chenrui Fan, Yize Cheng, Ming Li +2
cs.CLcs.LGarXiv:2606.11599v12026
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
Swadhin Pradhan, Niloo Bahadori, Peiman Amini
cs.LGarXiv:2606.11553v12026
Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training
Peng Sun, Yi Yang, Antong Zhang +7
cs.LGarXiv:2608.16926v12026
Neural Message Passing for Quantum Chemistry
Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley +2
cs.LGarXiv:1704.01212v22017
PianoKontext: Expressive Performance Rendering from Deadpan Context
Dmitrii Gavrilev
cs.SDcs.LGarXiv:2606.12282v12026
MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model
Ali Habibzadeh, Farid Feyzi, Reza Ebrahimi Atani
cs.IRcs.CRcs.LGarXiv:2608.16921v22026
Deep Reinforcement Learning with Double Q-learning
Hado van Hasselt, Arthur Guez, David Silver
cs.LGarXiv:1509.06461v32015
Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
Peng Sun, Yi Yang, Antong Zhang +7
cs.LGcs.CVarXiv:2608.16927v12026
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio +1
cs.LGcs.NEarXiv:1411.1792v12014
SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference
Nayan D'Souza, Christopher J. Agostino
quant-phcs.LGarXiv:2608.16939v12026
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
cs.CVcs.LGeess.IVarXiv:1807.10165v12018
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders
Gleb Gerasimov, Timofei Rusalev, Nikita Balagansky +3
cs.LGcs.AIcs.CLarXiv:2606.12138v12026
Information Spreading in Diffusion Models from Effective Field Theory
Navonil Neogi, Nabil Iqbal
hep-thcond-mat.stat-mechcs.LGarXiv:2608.14308v12026
MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
eess.IVcs.CVcs.LGarXiv:2608.16959v12026
Pessimistic Meta-Induction and Its Limits: Lessons from Frequentist Statistics and Machine Learning Theory
Hanti Lin
cs.LGstat.MEarXiv:2608.17213v12026
MultiSigBERT: Beyond Survival Analysis through Multimodal and Sequential Modeling in Oncology
Paul Minchella, Stéphane Chrétien, Guillaume Metzler +2
cs.LGarXiv:2608.16972v12026
On Subquadratic Architectures: From Applications to Principles
Anamaria-Roberta Hartl, Levente Zólyomi, David Stap +6
cs.LGarXiv:2606.12364v12026
VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation
Dhia Naouali, Minghan Wu, Claudia Wong +2
cs.ROcs.LGarXiv:2608.16978v12026
Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)
Kenneth Ge
cs.LGarXiv:2608.17034v12026
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira, Andrew Zisserman
cs.CVcs.LGarXiv:1705.07750v32017
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
cs.CLcs.AIcs.LGarXiv:1405.4053v22014
Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents
Yujun Zhou, Kehan Guo, Haomin Zhuang +8
cs.LGcs.CLarXiv:2606.13174v12026

Machine Learning

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

An overview of gradient descent optimization algorithms

Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson

Analyzing and Improving the Image Quality of StyleGAN

Gaussian Error Linear Units (GELUs)

Character-level Convolutional Networks for Text Classification

Addressing Function Approximation Error in Actor-Critic Methods

EfficientDet: Scalable and Efficient Object Detection

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

SESSE: Sketch, Expand, Sort, Summarize, Evaluate -- LLM-as-Judge Evaluation via Structured Decomposition

Neural Ordinary Differential Equations

Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application

Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study

Neural Discrete Representation Learning

Learning both Weights and Connections for Efficient Neural Networks

WaveNet: A Generative Model for Raw Audio

Axiomatic Attribution for Deep Networks

Advances and Open Problems in Federated Learning

SW-ProxyCE: Zero-Query Adversarial Transfer from Public EEG Encoders to Private Downstream Models

Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction

FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud

Trust Region Policy Optimization

Matching Networks for One Shot Learning

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models

Wide Residual Networks

Benchmarking Classical and Transformer-Based Models for Document Sensitivity Classification

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Measuring Massive Multitask Language Understanding

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

Dynamic Regime-Aware Conformal Calibration for Reliable Economic Forecast Intervals under Multiple Distribution Shifts

Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Causal Discovery in Equal Variance Linear Gaussian DAGs via SURE-Tuned Ridge Regression

Diagonal Multi-omics Integration of Heterogenous Datasets

DOW-KE: Anchor-Free Multi-Layer Knowledge Editing via Direct End-to-End Weight Optimization

When is Your LLM Steerable?

APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations

Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training

Neural Message Passing for Quantum Chemistry

PianoKontext: Expressive Performance Rendering from Deadpan Context

MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model

Deep Reinforcement Learning with Double Q-learning

Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training

How transferable are features in deep neural networks?

SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders

Information Spreading in Diffusion Models from Effective Field Theory

MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology

Pessimistic Meta-Induction and Its Limits: Lessons from Frequentist Statistics and Machine Learning Theory

MultiSigBERT: Beyond Survival Analysis through Multimodal and Sequential Modeling in Oncology

On Subquadratic Architectures: From Applications to Principles

VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation

Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Distributed Representations of Sentences and Documents

Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents