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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23,041 to 23,100 of 33,229

Sparse neural networks with large learning diversity
Vincent Gripon, Claude Berrou
cs.LGcs.DSarXiv:1102.4240v12011
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Souhaib Ben Taieb, Gianluca Bontempi, Amir Atiya +1
stat.MLcs.AIcs.LGarXiv:1108.3259v12011
A Gravitational Interpretation of Fine-Tuning Reversion
Samuele Poppi, Nils Lukas
cs.LGcs.AIarXiv:2606.28525v12026
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy +1
stat.MLcs.CRcs.LGarXiv:1802.03041v12018
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism
Xupeng Miao, Yujie Wang, Youhe Jiang +4
cs.LGcs.DBcs.DCarXiv:2211.13878v12022
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Nathaniel Li, Ziwen Han, Ian Steneker +6
cs.LGcs.CLcs.CRarXiv:2408.15221v22024
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
cs.LGcs.AIcs.CLarXiv:2306.12929v22023
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin +1
cs.LGstat.MLarXiv:1910.05396v32019
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora, Nadav Cohen, Wei Hu +1
cs.LGcs.AIcs.NEarXiv:1905.13655v32019
Specifying Object Attributes and Relations in Interactive Scene Generation
Oron Ashual, Lior Wolf
cs.CVcs.LGarXiv:1909.05379v22019
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho, Jinwoo Shin
cs.LGcs.CVstat.MLarXiv:1812.10889v22018
In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion
Yikai Wang, Xiao Han, Mengmeng Xu +9
cs.CVcs.AIcs.LGarXiv:2609.32540v12026
Gmail Smart Compose: Real-Time Assisted Writing
Mia Xu Chen, Benjamin N Lee, Gagan Bansal +9
cs.CLcs.LGarXiv:1906.00080v12019
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1803.06643v12018
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy +1
cs.LGarXiv:2406.19380v42024
Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks
Maximilian Schlegel, Rajai Nasser, Seijin Kobayashi +6
cs.LGcs.AIarXiv:2610.03858v12026
Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
Om Singh, Yagyaraj Pandey, Nandini Pathak
cs.CRcs.CYcs.LGarXiv:2608.21477v12026
Conditional Object-Centric Learning from Video
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran +6
cs.CVcs.LGstat.MLarXiv:2111.12594v22021
Policy Representation via Diffusion Probability Model for Reinforcement Learning
Long Yang, Zhixiong Huang, Fenghao Lei +6
cs.LGarXiv:2305.13122v12023
Operator-informed initialization for Fourier features physics-informed neural networks
Juan Molina, Paris Perdikaris, Mircea Petrache +2
cs.LGarXiv:2610.03378v12026
Beyond IID: How General Are Tabular Foundation Models, Really?
Lennart Purucker, Andrej Tschalzev, Nick Erickson +7
cs.LGcs.AIarXiv:2606.30410v12026
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.LGcs.CRcs.CVarXiv:1811.09310v12018
Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney +2
cs.LGcs.AIarXiv:2512.16848v22025
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, Hui Li +3
cs.LGcs.IRstat.MLarXiv:1812.10613v32018
A Spectral Algorithm for Learning Hidden Markov Models
Daniel Hsu, Sham M. Kakade, Tong Zhang
cs.LGcs.AIarXiv:0811.4413v62008
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang +2
cs.LGcs.CLstat.MLarXiv:1911.07013v12019
ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion
Liliana Borcea, Alexander Mamonov, Kui Ren +2
math.NAcs.LGphysics.geo-pharXiv:2608.25160v12026
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting
Pei Du, Jianzhou Wang, Yan Hao +2
cs.LGeess.SPstat.AParXiv:1905.13550v12019
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz, Salman UH Dar, Mahmut Yurt +2
eess.IVcs.CVcs.LGarXiv:2105.08059v32021
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang, Lei Li, Damai Dai +5
cs.CLcs.LGarXiv:2305.14160v42023
Advances in Optimizing Recurrent Networks
Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu
cs.LGarXiv:1212.0901v22012
INTELLECT-3: Technical Report
Prime Intellect Team, Mika Senghaas, Fares Obeid +20
cs.LGcs.AIarXiv:2512.16144v12025
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sébastien Bubeck, Che-Yu Liu
stat.MLcs.LGarXiv:1304.5758v22013
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
cs.LGcs.AIarXiv:0806.4686v22008
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer +6
cs.CVcs.LGcs.NEarXiv:1806.05034v42018
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1911.06962v22019
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
cs.CVcs.LGarXiv:1702.01334v12017
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
Patrick Chao, Edoardo Debenedetti, Alexander Robey +9
cs.CRcs.LGarXiv:2404.01318v52024
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15
cs.CYcs.LGstat.AParXiv:1812.10404v12018
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
cs.CRcs.LGstat.MLarXiv:2005.10881v52020
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
stat.MLcs.DCcs.LGarXiv:1909.05125v12019
Combining Feature and Instance Attribution to Detect Artifacts
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh +1
cs.CLcs.LGarXiv:2107.00323v22021
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu, Xiting Wang, Mengchen Liu +1
cs.LGstat.MLarXiv:1702.01226v12017
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Zhenwen Liang, Sidi Lu, Wenhao Yu +4
cs.LGcs.AIarXiv:2512.15687v12025
A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets
Arda Güçlü, Subhonmesh Bose, John R. Birge
stat.MLcs.LGarXiv:2609.32149v12026
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
cs.CVcs.AIcs.LGarXiv:2211.13218v22022
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis, Paul Viallard, George Deligiannidis +1
stat.MLcs.LGarXiv:2404.17442v22024
DEER: Draft with Diffusion, Verify with Autoregressive Models
Zicong Cheng, Guo-Wei Yang, Jia Li +3
cs.LGcs.AIarXiv:2512.15176v12025
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Chenhui Deng, Zichao Yue, Cunxi Yu +4
cs.LGcs.ARarXiv:2403.01317v42024
Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling
Yuchen Xin, Zhihua Zhang
cs.LGarXiv:2609.12594v12026
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas Thome, Avner Bar-Hen +2
cs.CVcs.LGstat.MLarXiv:1910.04851v22019
Generative Models for Effective ML on Private, Decentralized Datasets
Sean Augenstein, H. Brendan McMahan, Daniel Ramage +5
cs.LGstat.MLarXiv:1911.06679v22019
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
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
William F. Shen, Xinchi Qiu, Chenxi Whitehouse +6
cs.LGcs.AIarXiv:2602.05125v12026
Invariant Risk Minimization
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani +1
stat.MLcs.AIcs.LGarXiv:1907.02893v32019
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin +2
cs.AIcs.LGarXiv:2502.11418v22025
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi, Paolo Frasconi, Saverio Salzo +2
stat.MLcs.LGarXiv:1806.04910v22018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye, Linnan Wang, Guangxi Li +4
cs.LGstat.MLarXiv:1712.05134v22017
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi +1
cs.LGcs.AIstat.MLarXiv:2510.21332v22025
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022

Machine Learning

Sparse neural networks with large learning diversity

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

A Gravitational Interpretation of Fine-Tuning Reversion

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Implicit Regularization in Deep Matrix Factorization

Specifying Object Attributes and Relations in Interactive Scene Generation

InstaGAN: Instance-aware Image-to-Image Translation

In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion

Gmail Smart Compose: Real-Time Assisted Writing

The Web as a Knowledge-base for Answering Complex Questions

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks

Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation

Conditional Object-Centric Learning from Video

Policy Representation via Diffusion Probability Model for Reinforcement Learning

Operator-informed initialization for Fourier features physics-informed neural networks

Beyond IID: How General Are Tabular Foundation Models, Really?

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

Meta-RL Induces Exploration in Language Agents

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

A Spectral Algorithm for Learning Hidden Markov Models

Understanding and Improving Layer Normalization

ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Advances in Optimizing Recurrent Networks

INTELLECT-3: Technical Report

Prior-free and prior-dependent regret bounds for Thompson Sampling

Sparse Online Learning via Truncated Gradient

A Probabilistic U-Net for Segmentation of Ambiguous Images

Inductive Relation Prediction by Subgraph Reasoning

An Experimental Study of Deep Convolutional Features For Iris Recognition

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Revisiting Membership Inference Under Realistic Assumptions

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

Combining Feature and Instance Attribution to Detect Artifacts

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning

A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets

DEER: Draft with Diffusion, Verify with Autoregressive Models

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits

Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling

Addressing Failure Prediction by Learning Model Confidence

Generative Models for Effective ML on Private, Decentralized Datasets

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

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks

Invariant Risk Minimization

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

Bilevel Programming for Hyperparameter Optimization and Meta-Learning

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

Weak-to-Strong Generalization under Distribution Shifts

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing