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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31,441 to 31,500 of 32,941

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Thomas Paine, Hailin Jin, Jianchao Yang +2
cs.CVcs.DCcs.LGarXiv:1312.6186v12013
RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
Haotian Xu, Xing Wu, Weinong Wang +11
cs.LGcs.AIcs.CLarXiv:2501.11284v12025
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel, Alekh Agarwal, Fernando Diaz +2
cs.AIcs.LGstat.MLarXiv:1603.04119v12016
Tree-structured composition in neural networks without tree-structured architectures
Samuel R. Bowman, Christopher D. Manning, Christopher Potts
cs.CLcs.LGarXiv:1506.04834v32015
Hierarchical Object Detection with Deep Reinforcement Learning
Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques +1
cs.CVcs.LGarXiv:1611.03718v22016
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel +1
cs.LGstat.MLarXiv:2007.13532v22020
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Weijie Lv, Xuan Xia, Sheng-Jun Huang
cs.CLcs.LGarXiv:2408.02193v12024
$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
Rushil Anirudh, Jayaraman J. Thiagarajan
cs.LGcs.CVstat.MLarXiv:2110.02197v12021
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
cs.NEcs.LGarXiv:1807.07362v12018
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang +2
cs.LGcs.AIstat.MLarXiv:1904.09981v22019
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn, Francesca Toni
cs.CLcs.AIcs.HCarXiv:2104.15135v32021
Hierarchically Gated Recurrent Neural Network for Sequence Modeling
Zhen Qin, Songlin Yang, Yiran Zhong
cs.CLcs.LGarXiv:2311.04823v12023
ERNIE-Image Technical Report
Jiaxiang Liu, Zhida Feng, Pengyu Zou +46
cs.CVcs.LGarXiv:2605.25347v12026
A-Evolve-Training: Autonomous Post-Training of a 30B Model
Zhan Shi, Bing He, Yisi Sang +2
cs.AIcs.LGarXiv:2606.20657v32026
Summaries:한국어
Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu +7
cs.CLcs.AIcs.IRarXiv:2310.03025v22023
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS
Mutian He, Yan Deng, Lei He
cs.CLcs.LGcs.SDarXiv:1906.00672v32019
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang +2
physics.ao-phcs.LGarXiv:2404.17652v22024
Discovering the Hidden Vocabulary of DALLE-2
Giannis Daras, Alexandros G. Dimakis
cs.LGcs.CLcs.CRarXiv:2206.00169v12022
Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
Abhijith Gandrakota
hep-excs.LGphysics.data-anarXiv:2411.19506v12024
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du, Aohan Zeng, Yuxiao Dong +1
cs.CLcs.AIcs.LGarXiv:2403.15796v32024
Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code
Timur Galimzyanov, Sergey Titov, Yaroslav Golubev +1
cs.SEcs.AIcs.LGarXiv:2412.02764v22024
Test-time Offline Reinforcement Learning on Goal-related Experience
Marco Bagatella, Mert Albaba, Jonas Hübotter +2
cs.LGarXiv:2507.18809v22025
MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing
Asif Rahman, Veljko Cvetkovic, Kathleen Reece +7
cs.DCcs.LGcs.SEarXiv:2505.03906v32025
Learning Deep Object Detectors from 3D Models
Xingchao Peng, Baochen Sun, Karim Ali +1
cs.CVcs.LGcs.NEarXiv:1412.7122v42014
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
Xiang Fan, Anand Bhattad, Ranjay Krishna
cs.CVcs.AIcs.LGarXiv:2403.14617v32024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
Edoardo Debenedetti, Jie Zhang, Mislav Balunović +3
cs.CRcs.LGarXiv:2406.13352v32024
Instella: Fully Open Language Models with Stellar Performance
Jiang Liu, Jialian Wu, Xiaodong Yu +10
cs.CLcs.AIcs.LGarXiv:2511.10628v22025
Using Videos to Evaluate Image Model Robustness
Keren Gu, Brandon Yang, Jiquan Ngiam +2
cs.CVcs.LGarXiv:1904.10076v32019
A Super Fast K-means for Indexing Vector Embeddings
Leonardo Kuffo, Sven Hepkema, Peter Boncz
cs.LGcs.DBcs.IRarXiv:2603.20009v12026
GeneCIS: A Benchmark for General Conditional Image Similarity
Sagar Vaze, Nicolas Carion, Ishan Misra
cs.CVcs.AIcs.LGarXiv:2306.07969v12023
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning
Sahil Sharma, Aravind Srinivas, Balaraman Ravindran
cs.LGcs.AIcs.NEarXiv:1702.06054v22017
SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search
Sharath Nittur Sridhar, Maciej Szankin, Fang Chen +2
cs.LGcs.AIarXiv:2312.13301v12023
The Missing Ingredient in Zero-Shot Neural Machine Translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat +3
cs.CLcs.AIcs.LGarXiv:1903.07091v12019
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
Jingru Jia, Zehua Yuan, Junhao Pan +2
cs.AIcs.CYcs.HCarXiv:2406.05972v22024
ORRB -- OpenAI Remote Rendering Backend
Maciek Chociej, Peter Welinder, Lilian Weng
cs.GRcs.LGstat.MLarXiv:1906.11633v12019
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
Yujun Mao, Yoon Kim, Yilun Zhou
cs.CLcs.AIcs.LGarXiv:2401.06961v22024
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang, Jiaming Han, Chris Liu +7
cs.CVcs.AIcs.CLarXiv:2303.16199v32023
Calibration of Pre-trained Transformers
Shrey Desai, Greg Durrett
cs.CLcs.LGarXiv:2003.07892v32020
Efficient Robust Training via Backward Smoothing
Jinghui Chen, Yu Cheng, Zhe Gan +2
cs.LGcs.AIstat.MLarXiv:2010.01278v22020
MAE-AST: Masked Autoencoding Audio Spectrogram Transformer
Alan Baade, Puyuan Peng, David Harwath
eess.AScs.AIcs.CLarXiv:2203.16691v12022
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
Xiaohan Ding, Chunlong Xia, Xiangyu Zhang +3
cs.CVcs.AIcs.LGarXiv:2105.01883v32021
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs
Shangzhan Li, Zefan Wang, Ye He +8
cs.LGcs.CLarXiv:2507.05687v12025
VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
Tianci Bi, Xiaoyi Zhang, Yan Lu +1
cs.CVcs.LGarXiv:2510.18457v32025
BiMix: A Bivariate Data Mixing Law for Language Model Pretraining
Ce Ge, Zhijian Ma, Daoyuan Chen +2
cs.LGcs.AIcs.CLarXiv:2405.14908v42024
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela Cătălina Stoian, Salijona Dyrmishi, Maxime Cordy +2
cs.LGarXiv:2402.04823v12024
TinyAgent: Function Calling at the Edge
Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha +7
cs.CLcs.LGarXiv:2409.00608v32024
xLAM: A Family of Large Action Models to Empower AI Agent Systems
Jianguo Zhang, Tian Lan, Ming Zhu +19
cs.CLcs.AIcs.LGarXiv:2409.03215v12024
Extending Activation Steering to Broad Skills and Multiple Behaviours
Teun van der Weij, Massimo Poesio, Nandi Schoots
cs.LGcs.AIcs.CLarXiv:2403.05767v12024
Towards Time Series Reasoning with LLMs
Winnie Chow, Lauren Gardiner, Haraldur T. Hallgrímsson +2
cs.LGarXiv:2409.11376v22024
Evaluating Coherence in Dialogue Systems using Entailment
Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson +1
cs.CLcs.LGarXiv:1904.03371v22019
dAIrector: Automatic Story Beat Generation through Knowledge Synthesis
Markus Eger, Kory W. Mathewson
cs.CYcs.CLcs.HCarXiv:1811.03423v12018
It was the training data pruning too!
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan +1
cs.LGcs.CLarXiv:1803.04579v12018
Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning
Mohammad Areeb Qazi, Maryam Nadeem, Mohammad Yaqub
cs.LGarXiv:2511.16333v12025
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
Dan Barnes, Rob Weston, Ingmar Posner
cs.CVcs.LGcs.ROarXiv:1909.03752v42019
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
stat.MLcs.AIcs.LGarXiv:1804.04452v12018
Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation
Ilseung Park, Eunsik Choi, Jangwhan Ahn +1
cs.LGcs.NEcs.ROarXiv:2603.10474v22026
Perch 2.0 transfers 'whale' to underwater tasks
Andrea Burns, Lauren Harrell, Bart van Merriënboer +3
cs.LGarXiv:2512.03219v12025
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
Junqi Jin, Kun Fu, Runpeng Cui +2
cs.CVcs.LGstat.MLarXiv:1506.06272v12015
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell +1
cs.LGcs.AIstat.MLarXiv:1705.07086v12017
OpenML Benchmarking Suites and the OpenML100
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer +5
stat.MLcs.LGarXiv:1708.03731v12017

Machine Learning

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains

Tree-structured composition in neural networks without tree-structured architectures

Hierarchical Object Detection with Deep Reinforcement Learning

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Explanation-Based Human Debugging of NLP Models: A Survey

Hierarchically Gated Recurrent Neural Network for Sequence Modeling

ERNIE-Image Technical Report

A-Evolve-Training: Autonomous Post-Training of a 30B Model

Retrieval meets Long Context Large Language Models

Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS

Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events

Discovering the Hidden Vocabulary of DALLE-2

Real-time Anomaly Detection at the L1 Trigger of CMS Experiment

Understanding Emergent Abilities of Language Models from the Loss Perspective

Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code

Test-time Offline Reinforcement Learning on Goal-related Experience

MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Learning Deep Object Detectors from 3D Models

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Instella: Fully Open Language Models with Stellar Performance

Using Videos to Evaluate Image Model Robustness

A Super Fast K-means for Indexing Vector Embeddings

GeneCIS: A Benchmark for General Conditional Image Similarity

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning

SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search

The Missing Ingredient in Zero-Shot Neural Machine Translation

Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context

ORRB -- OpenAI Remote Rendering Backend

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Calibration of Pre-trained Transformers

Efficient Robust Training via Backward Smoothing

MAE-AST: Masked Autoencoding Audio Spectrogram Transformer

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models

BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

TinyAgent: Function Calling at the Edge

xLAM: A Family of Large Action Models to Empower AI Agent Systems

Extending Activation Steering to Broad Skills and Multiple Behaviours

Towards Time Series Reasoning with LLMs

Evaluating Coherence in Dialogue Systems using Entailment

dAIrector: Automatic Story Beat Generation through Knowledge Synthesis

It was the training data pruning too!

Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning

Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation

Perch 2.0 transfers 'whale' to underwater tasks

Aligning where to see and what to tell: image caption with region-based attention and scene factorization

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

OpenML Benchmarking Suites and the OpenML100