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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20,461 to 20,520 of 34,025

The emergence of clusters in self-attention dynamics
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy +1
cs.LGmath.APstat.MLarXiv:2305.05465v62023
Hierarchical Skills for Efficient Exploration
Jonas Gehring, Gabriel Synnaeve, Andreas Krause +1
cs.LGcs.AIcs.ROarXiv:2110.10809v12021
Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou, Tengyu Xu, Yingbin Liang
cs.LGstat.MLarXiv:1902.02234v32019
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen, Peixi Peng, Li Ma +3
cs.CVcs.LGarXiv:2108.08487v12021
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang, Xianglong Liu, Bo Lang +3
cs.LGarXiv:1709.06079v22017
Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning
Seyedarmin Azizi, Erfan Baghaei Potraghloo, Minoo Ahmadi +2
stat.MLcs.LGarXiv:2602.10273v22026
UVeQFed: Universal Vector Quantization for Federated Learning
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar +2
cs.LGcs.ITstat.MLarXiv:2006.03262v32020
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
Zhun Wang, Tianneng Shi, Jingxuan He +3
cs.CRcs.AIcs.LGarXiv:2506.02548v32025
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
Sidharth SS, Keerthana AR, Gokul R +1
cs.LGcs.AIarXiv:2405.07200v32024
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
cs.CVcs.AIcs.GRarXiv:1811.11155v22018
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut, Gersende Fort, Eric Moulines +1
math.OCcs.AIcs.LGarXiv:2111.02083v22021
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang, Gang Wang, Jian Sun +2
cs.LGcs.AIarXiv:2305.05119v22023
Federated Model Distillation with Noise-Free Differential Privacy
Lichao Sun, Lingjuan Lyu
cs.CRcs.LGstat.MLarXiv:2009.05537v22020
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better
Bojia Zi, Shihao Zhao, Xingjun Ma +1
cs.CRcs.LGarXiv:2108.07969v12021
Reasoning-Finetuning Repurposes Latent Representations in Base Models
Jake Ward, Chuqiao Lin, Constantin Venhoff +1
cs.LGarXiv:2507.12638v12025
Mitigating harm in language models with conditional-likelihood filtration
Helen Ngo, Cooper Raterink, João G. M. Araújo +4
cs.CLcs.LGarXiv:2108.07790v32021
Machine Learning with a Reject Option: A survey
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas +2
cs.LGcs.AIarXiv:2107.11277v32021
Doubly robust off-policy evaluation with shrinkage
Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy +1
cs.LGstat.MLarXiv:1907.09623v22019
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang +4
cs.IRcs.LGeess.SParXiv:2108.07567v12021
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron +2
cs.CVcs.AIcs.GRarXiv:2112.01455v22021
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen +2
cs.CLcs.AIcs.LGarXiv:1606.03777v22016
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang, Xingjun Ma, Zaiyi Chen +3
cs.LGcs.CVstat.MLarXiv:1908.06112v12019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang +1
eess.SYcs.LGcs.SYarXiv:1912.09135v32019
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park +2
cs.CLcs.AIcs.LGarXiv:2305.04533v12023
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall +4
cs.ROcs.LGeess.SYarXiv:2108.06266v22021
Radial and Directional Posteriors for Bayesian Neural Networks
Changyong Oh, Kamil Adamczewski, Mijung Park
stat.MLcs.LGarXiv:1902.02603v22019
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT
Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9
cs.CVcs.LGcs.MMarXiv:1909.07741v12019
Black-Box Adversarial Attack with Transferable Model-based Embedding
Zhichao Huang, Tong Zhang
cs.LGstat.MLarXiv:1911.07140v22019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz +3
eess.IVcs.LGstat.MLarXiv:1907.09478v12019
On hallucinations in tomographic image reconstruction
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks +1
eess.IVcs.LGarXiv:2012.00646v32020
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar, Shurui Zhou, Grace Lewis +1
cs.SEcs.LGarXiv:2110.10234v42021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath
stat.MLcs.LGmath.PRarXiv:2003.10409v42020
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo +1
quant-phcs.LGarXiv:1812.03584v22018
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis +2
cs.LGarXiv:2602.02016v22026
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang +6
cs.LGarXiv:2304.10668v12023
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar +1
cs.LGstat.MLarXiv:1902.02302v42019
Clinical Intervention Prediction and Understanding using Deep Networks
Harini Suresh, Nathan Hunt, Alistair Johnson +3
cs.LGarXiv:1705.08498v12017
Stiff Neural Ordinary Differential Equations
Suyong Kim, Weiqi Ji, Sili Deng +2
math.NAcs.LGarXiv:2103.15341v32021
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22
physics.med-phcs.CVcs.LGarXiv:1911.00515v12019
Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio, Pietro Marsella, Ben Pan +2
cs.LGcs.AIcs.PFarXiv:2507.11948v12025
The Benefit of Multitask Representation Learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
stat.MLcs.LGarXiv:1505.06279v22015
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Mustafa Shukor, Dana Aubakirova, Francesco Capuano +11
cs.LGcs.ROarXiv:2506.01844v12025
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan +2
stat.MLcs.LGcs.SIarXiv:1909.07578v12019
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny, Matan Atzmon, Heli Ben-Hamu +4
cs.LGstat.MLarXiv:2110.03336v42021
Decentralized Deep Learning with Arbitrary Communication Compression
Anastasia Koloskova, Tao Lin, Sebastian U. Stich +1
cs.LGcs.DCcs.DSarXiv:1907.09356v32019
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda, L. A. Prashanth
cs.LGmath.OCstat.MLarXiv:1411.3224v22014
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng, Qi Dai, Hong Li +3
cs.CVcs.AIcs.LGarXiv:2206.05253v22022
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis +1
stat.MLcs.ITcs.LGarXiv:1609.03240v22016
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner +2
cs.LGcs.AIarXiv:2304.10573v22023
Progressive Neural Networks
Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins +5
cs.LGarXiv:1606.04671v42016
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong, Seungju Han, Kwanghee Choi +3
cs.CVcs.LGarXiv:2012.00321v22020
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Zhenguang Liu, Peng Qian, Xiaoyang Wang +3
cs.CRcs.LGcs.PLarXiv:2107.11598v12021
Distilling Policy Distillation
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero +3
cs.LGcs.AIstat.MLarXiv:1902.02186v12019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters, Sebastian Ruder, Noah A. Smith
cs.CLcs.LGarXiv:1903.05987v22019
Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting
Mary Joy Daniel Vinas
cs.AIcs.ETcs.LGarXiv:2608.21463v12026
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
cs.LGarXiv:2502.11564v22025
Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2107.10711v12021
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder, Andreas Niekler, Martin Potthast
cs.CLcs.LGarXiv:2107.05687v22021
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Yuhuai Wu, Mengye Ren, Renjie Liao +1
cs.LGstat.MLarXiv:1803.02021v12018

Machine Learning

The emergence of clusters in self-attention dynamics

Hierarchical Skills for Efficient Exploration

Finite-Sample Analysis for SARSA with Linear Function Approximation

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning

UVeQFed: Universal Vector Quantization for Federated Learning

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery

Federated Expectation Maximization with heterogeneity mitigation and variance reduction

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

Federated Model Distillation with Noise-Free Differential Privacy

Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better

Reasoning-Finetuning Repurposes Latent Representations in Base Models

Mitigating harm in language models with conditional-likelihood filtration

Machine Learning with a Reject Option: A survey

Doubly robust off-policy evaluation with shrinkage

How Powerful is Graph Convolution for Recommendation?

Zero-Shot Text-Guided Object Generation with Dream Fields

Neural Belief Tracker: Data-Driven Dialogue State Tracking

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Radial and Directional Posteriors for Bayesian Neural Networks

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT

Black-Box Adversarial Attack with Transferable Model-based Embedding

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

On hallucinations in tomographic image reconstruction

Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process

Online stochastic gradient descent on non-convex losses from high-dimensional inference

q-means: A quantum algorithm for unsupervised machine learning

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

Neural Network Attributions: A Causal Perspective

Clinical Intervention Prediction and Understanding using Deep Networks

Stiff Neural Ordinary Differential Equations

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Kevin: Multi-Turn RL for Generating CUDA Kernels

The Benefit of Multitask Representation Learning

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Stacking Models for Nearly Optimal Link Prediction in Complex Networks

Frame Averaging for Invariant and Equivariant Network Design

Decentralized Deep Learning with Arbitrary Communication Compression

On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Progressive Neural Networks

Disentangling Label Distribution for Long-tailed Visual Recognition

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

Distilling Policy Distillation

To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks

Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting

Continuous Diffusion Model for Language Modeling

Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Understanding Short-Horizon Bias in Stochastic Meta-Optimization