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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23,161 to 23,220 of 33,636

Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought
Alex Havrilla, Maia Iyer
cs.LGarXiv:2402.04004v22024
MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves
Zihan Tan, Leixin Sun, Zitong Shi +28
cs.LGarXiv:2609.06396v22026
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
cs.LGcs.AIcs.CVarXiv:1605.09782v72016
Global Convergence of Block Coordinate Descent in Deep Learning
Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin +1
math.OCcs.LGstat.MLarXiv:1803.00225v42018
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
Yulu Gan, Phillip Isola
cs.LGcs.AIarXiv:2603.12228v12026
Maximum a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa +3
cs.LGcs.AIcs.ITarXiv:1806.06920v12018
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali +7
cs.LGarXiv:1907.05321v12019
TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
Lucheng Fu, Ye Yu, Yiyang Wang +4
cs.CLcs.AIcs.LGarXiv:2605.21318v22026
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft
Stephan Alaniz
cs.AIcs.LGstat.MLarXiv:1803.08456v12018
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +7
cs.CYcs.AIcs.LGarXiv:2008.07343v42020
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias +1
cs.LGcs.ROarXiv:1910.07738v22019
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
stat.MLcs.LGmath.OCarXiv:1602.02355v62016
Statistical exponential families: A digest with flash cards
Frank Nielsen, Vincent Garcia
cs.LGarXiv:0911.4863v22009
RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling
Ziyuan Wang, Bohao Tang, Fei Zhang +2
cs.LGq-bio.GNarXiv:2608.22849v12026
Robust Data-Collection Policy Learning for Low-Variance Online Policy Evaluation
Claire Chen, Shuze Daniel Liu, Licheng Luo +3
cs.LGstat.MLarXiv:2608.24146v12026
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
cs.LGcs.AIcs.CVarXiv:1705.08475v22017
Active Learning for Deep Detection Neural Networks
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer +1
cs.CVcs.LGarXiv:1911.09168v12019
ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad, Anika Tabassum, Ling Guan +1
cs.LGcs.NEeess.SParXiv:2107.09869v12021
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan +1
cs.LGcs.AIarXiv:1006.4039v32010
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
Daya Guo, Canwen Xu, Nan Duan +2
cs.SEcs.AIcs.CLarXiv:2306.14893v12023
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez, Been Kim
stat.MLcs.AIcs.LGarXiv:1702.08608v22017
Predicting Alignment Generalization with Value Representations
Andy Liu, Mehar Bhatia, Karolina Stanczak +3
cs.CLcs.AIcs.LGarXiv:2610.12410v12026
Generalization in Adaptive Data Analysis and Holdout Reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt +3
cs.LGcs.DSarXiv:1506.02629v22015
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos +3
cs.LGmath.OCarXiv:2502.07529v22025
Efficient GPU Retrieval for Semantic Search
Dhritiman Das, Chujie Zheng, Ronak Kaoshik +18
cs.AIcs.LGarXiv:2608.28968v12026
Adversarial Examples for Models of Code
Noam Yefet, Uri Alon, Eran Yahav
cs.LGcs.PLarXiv:1910.07517v52019
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado +4
cs.CVcs.AIcs.LGarXiv:2109.03805v32021
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis, Tommi S. Jaakkola
cs.LGarXiv:1707.01943v32017
The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning
Dylan Jayabahu, Tinuade Adeleke
cs.LGcs.AIcs.CLarXiv:2608.28859v12026
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
Simon S. Du, Wei Hu
math.OCcs.LGstat.MLarXiv:1802.01504v22018
Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches
Yonatan Vaizman, Katherine Ellis, Gert Lanckriet
cs.AIcs.CYcs.HCarXiv:1609.06354v42016
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry +3
cs.LGcs.AIarXiv:2402.03885v32024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
Han Shen, Zhuoran Yang, Tianyi Chen
cs.LGmath.OCstat.MLarXiv:2402.06886v32024
Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model
Hoeun Lee, Jaeik Kim, Jusang Oh +4
cs.ROcs.AIcs.LGarXiv:2609.13053v12026
Hyperparameter Selection for Offline Reinforcement Learning
Tom Le Paine, Cosmin Paduraru, Andrea Michi +5
cs.LGcs.AIstat.MLarXiv:2007.09055v12020
Communication-efficient sparse regression: a one-shot approach
Jason D. Lee, Yuekai Sun, Qiang Liu +1
stat.MLcs.LGarXiv:1503.04337v32015
LinFusion: 1 GPU, 1 Minute, 16K Image
Songhua Liu, Weihao Yu, Zhenxiong Tan +1
cs.CVcs.LGarXiv:2409.02097v32024
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi +3
cs.CVcs.AIcs.LGarXiv:2603.06351v22026
Grounding and Enhancing Informativeness and Utility in Dataset Distillation
Shaobo Wang, Yantai Yang, Guo Chen +5
cs.LGcs.AIarXiv:2601.21296v12026
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao +4
cs.CLcs.LGarXiv:1906.01787v12019
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li, Sanjeev Arora
cs.LGstat.MLarXiv:1910.07454v32019
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou, Yuesheng Zhu, Chao He +4
cs.NEcs.CVcs.LGarXiv:2209.15425v22022
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, Li Fei-Fei
cs.CVcs.LGarXiv:1804.01622v12018
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman +1
cs.NEcs.CLcs.LGarXiv:1506.02516v32015
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez, Pierre Boyeau, Nir Yosef +2
stat.MLcs.AIcs.LGarXiv:2002.07217v32020
Emergent Models: Intelligence from Tiny Substrates
Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard +2
cs.NEcs.LGarXiv:2608.14019v12026
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel, Carl Qi, Dan Haramati +5
cs.LGarXiv:2603.04553v12026
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos +1
cs.ROcs.AIcs.LGarXiv:1909.07299v22019
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Y. Guan, Gregory Valiant +1
cs.LGstat.MLarXiv:1907.05012v22019
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park +3
cs.LGstat.MLarXiv:2007.08844v22020
Diffusion Models and Concept Formation
Zekun Wang, Karthik Singaravadivelan, Christopher J. MacLellan
cs.AIcs.LGarXiv:2609.13047v22026
From AGI to ASI
Tim Genewein, Matija Franklin, Alexander Lerchner +11
cs.AIcs.CYcs.LGarXiv:2606.12683v12026
Revisiting the Shape Convention of Transformer Language Models
Feng-Ting Liao, Meng-Hsi Chen, Guan-Ting Yi +1
cs.CLcs.AIcs.LGarXiv:2602.06471v12026
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Hyunjong Ok, Jaeho Lee
cs.CLcs.AIcs.LGarXiv:2601.14152v22026
Scaling Beyond Masked Diffusion Language Models
Subham Sekhar Sahoo, Jean-Marie Lemercier, Zhihan Yang +4
cs.LGcs.CLarXiv:2602.15014v12026
To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models
Siru Jiang, Yuwei Liang, Jian Liang +2
cs.CVcs.LGarXiv:2609.08367v12026
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch, Jan Czarnowski, Ronald Clark +2
cs.CVcs.LGarXiv:1804.00874v22018
Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations
Ruizhe Huang, Qidong Yang, Jonathan Giezendanner +1
cs.LGcs.AIarXiv:2610.00728v12026
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio +3
cs.CRcs.GTcs.LGarXiv:1804.00308v32018
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar, Michael I. Jordan, S. Shankar Sastry
cs.LGmath.OCstat.MLarXiv:1901.00838v22019

Machine Learning

Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves

Adversarial Feature Learning

Global Convergence of Block Coordinate Descent in Deep Learning

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Maximum a Posteriori Policy Optimisation

Time2Vec: Learning a Vector Representation of Time

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization

Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

A Survey of Deep Learning Techniques for Autonomous Driving

Hyperparameter optimization with approximate gradient

Statistical exponential families: A digest with flash cards

RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling

Robust Data-Collection Policy Learning for Low-Variance Online Policy Evaluation

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation

Active Learning for Deep Detection Neural Networks

ECG Heartbeat Classification Using Multimodal Fusion

Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Towards A Rigorous Science of Interpretable Machine Learning

Predicting Alignment Generalization with Value Representations

Generalization in Adaptive Data Analysis and Holdout Reuse

Training Deep Learning Models with Norm-Constrained LMOs

Efficient GPU Retrieval for Semantic Search

Adversarial Examples for Models of Code

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

A causal framework for explaining the predictions of black-box sequence-to-sequence models

The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning

Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity

Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

MOMENT: A Family of Open Time-series Foundation Models

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model

Hyperparameter Selection for Offline Reinforcement Learning

Communication-efficient sparse regression: a one-shot approach

LinFusion: 1 GPU, 1 Minute, 16K Image

DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

Learning Deep Transformer Models for Machine Translation

An Exponential Learning Rate Schedule for Deep Learning

Spikformer: When Spiking Neural Network Meets Transformer

Image Generation from Scene Graphs

Learning to Transduce with Unbounded Memory

Decision-Making with Auto-Encoding Variational Bayes

Emergent Models: Intelligence from Tiny Substrates

Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling

Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning

Making AI Forget You: Data Deletion in Machine Learning

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

Diffusion Models and Concept Formation

From AGI to ASI

Revisiting the Shape Convention of Transformer Language Models

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

Scaling Beyond Masked Diffusion Language Models

To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games