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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901 to 960 of 20,192

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen, Yihe Deng, Huizhuo Yuan +2
cs.LGcs.AIcs.CLarXiv:2401.01335v32024
Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs
Jonathan Zheng, Zirui Shao, Alan Ritter +1
cs.CLcs.LGarXiv:2609.00184v12026
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, Sergey Levine +1
cs.LGcs.AIarXiv:1605.07148v42016
Different representation learning objectives recover distinct latent structures from the same psychometric data
Cong Cao, Tassos C. Kyriakides, Pambos Vrasidas
cs.AIcs.LGstat.MEarXiv:2609.00100v12026
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
Huan Ling, Seung Wook Kim, Antonio Torralba +2
cs.CVcs.LGarXiv:2312.13763v22023
Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning
Yue Cheng, Jiajun Zhang, Xiaohui Gao +2
cs.LGcs.AIarXiv:2608.30699v12026
Steering Llama 2 via Contrastive Activation Addition
Nina Panickssery, Nick Gabrieli, Julian Schulz +3
cs.CLcs.AIcs.LGarXiv:2312.06681v42023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Neel Jain, Avi Schwarzschild, Yuxin Wen +7
cs.LGcs.CLcs.CRarXiv:2309.00614v22023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
Kushal Tirumala, Daniel Simig, Armen Aghajanyan +1
cs.CLcs.AIcs.LGarXiv:2308.12284v12023
PMET: Precise Model Editing in a Transformer
Xiaopeng Li, Shasha Li, Shezheng Song +3
cs.CLcs.AIcs.LGarXiv:2308.08742v62023
On the use of deep learning for phase recovery
Kaiqiang Wang, Li Song, Chutian Wang +8
physics.opticscs.LGeess.IVarXiv:2308.00942v12023
Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving
Tian Zhang, Zhuo Huang, Hongrui Ye +3
cs.CVcs.AIcs.LGarXiv:2608.30122v12026
A Survey of Techniques for Optimizing Transformer Inference
Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani +2
cs.LGcs.ARcs.CLarXiv:2307.07982v12023
Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang +1
cs.LGcs.CVarXiv:1602.05110v52016
A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks
Chongzhi Wu, Zhengtao Li, Jiawen Kang +4
cs.NIcs.LGarXiv:2608.29255v12026
Non-Autoregressive Machine Translation with Latent Alignments
Chitwan Saharia, William Chan, Saurabh Saxena +1
cs.CLcs.LGarXiv:2004.07437v32020
Training with Quantization Noise for Extreme Model Compression
Angela Fan, Pierre Stock, Benjamin Graham +4
cs.LGstat.MLarXiv:2004.07320v32020
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Lin Wang, Kuk-Jin Yoon
cs.CVcs.AIcs.LGarXiv:2004.05937v72020
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta +13
cs.CLcs.AIcs.LGarXiv:2303.17651v22023
Summaries:한국어
Diffusion Schrödinger Bridge Matching
Yuyang Shi, Valentin De Bortoli, Andrew Campbell +1
stat.MLcs.LGarXiv:2303.16852v32023
Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help?
Artem Betlei
cs.LGarXiv:2608.28905v12026
Foundation Models and Fair Use
Peter Henderson, Xuechen Li, Dan Jurafsky +3
cs.CYcs.AIcs.LGarXiv:2303.15715v12023
Neural Programmer-Interpreters
Scott Reed, Nando de Freitas
cs.LGcs.NEarXiv:1511.06279v42015
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2303.06296v22023
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir Mosavi, Pedram Ghamisi, Yaser Faghan +1
q-fin.STcs.LGecon.GNarXiv:2004.01509v12020
Deep learning for Stock Market Prediction
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani +1
q-fin.STcs.LGarXiv:2004.01497v12020
Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation
Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt +5
cs.AIcs.LGarXiv:2608.28393v12026
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li, Siheng Chen, Yangheng Zhao +3
cs.CVcs.LGstat.MLarXiv:2003.08802v12020
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez +3
cs.SIcs.LGphysics.soc-pharXiv:1507.02293v22015
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan +5
eess.IVcs.CVcs.LGarXiv:2003.05037v32020
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
cs.LGstat.MLarXiv:2003.04078v42020
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan, Wesley Wei Qian, Xingang Peng +3
q-bio.BMcs.LGarXiv:2303.03543v12023
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
cs.AIcs.DBcs.LGarXiv:2003.02320v62020
Statistical power for cluster analysis
E. S. Dalmaijer, C. L. Nord, D. E. Astle
stat.MLcs.LGq-bio.QMarXiv:2003.00381v32020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.AIcs.NEarXiv:2003.00152v32020
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal +3
cs.LGcs.CVstat.MLarXiv:2002.09437v22020
Do We Really Need Complicated Model Architectures For Temporal Networks?
Weilin Cong, Si Zhang, Jian Kang +5
cs.LGcs.AIarXiv:2302.11636v12023
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang, Dapeng Hu, Jiashi Feng
cs.CVcs.LGarXiv:2002.08546v62020
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1
cs.CLcs.IRcs.LGarXiv:1507.00955v32015
pymoo: Multi-objective Optimization in Python
Julian Blank, Kalyanmoy Deb
cs.NEcs.LGcs.MSarXiv:2002.04504v12020
Data-Free Adversarial Distillation
Gongfan Fang, Jie Song, Chengchao Shen +3
cs.LGcs.CVstat.MLarXiv:1912.11006v32019
Text Understanding from Scratch
Xiang Zhang, Yann LeCun
cs.LGcs.CLarXiv:1502.01710v52015
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar, Navid Azizan, Alex Mott +1
cs.LGstat.MLarXiv:1910.07104v12019
Bayesian Flow Networks for Offline Trajectory Planning
Ludvig Killingberg, Helge Langseth
cs.LGcs.AIarXiv:2608.25163v12026
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian Fatras, Nikolay Malkin +5
cs.LGarXiv:2302.00482v42023
The Dialect Tax: Dialectal Biases Persist throughout the Language Modeling Pipeline
Elle
cs.CLcs.AIcs.LGarXiv:2608.24952v12026
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky, Matthias Schonlau
cs.LGcs.AIstat.MLarXiv:1910.02551v32019
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team, Jakob Bauer, Kate Baumli +25
cs.LGcs.AIcs.NEarXiv:2301.07608v12023
Hamiltonian Generative Networks
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle +3
cs.LGstat.MLarXiv:1909.13789v22019
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang, Pew-Thian Yap, Weili Lin +2
cs.CVcs.AIcs.LGarXiv:2301.00265v22022
Guaranteed Matrix Completion via Non-convex Factorization
Ruoyu Sun, Zhi-Quan Luo
cs.LGarXiv:1411.8003v32014
Synthetic Data for Deep Learning
Sergey I. Nikolenko
cs.LGcs.CRcs.CVarXiv:1909.11512v12019
Acoustic Scene Classification
Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell +1
cs.SDcs.LGarXiv:1411.3715v12014
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
Zeyang Sha, Zheng Li, Ning Yu +1
cs.CRcs.CVcs.LGarXiv:2210.06998v22022
Addressing the Rare Word Problem in Neural Machine Translation
Minh-Thang Luong, Ilya Sutskever, Quoc V. Le +2
cs.CLcs.LGcs.NEarXiv:1410.8206v42014
Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGstat.MLarXiv:1909.01377v22019
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng, Xiao Liu, Zhengxiao Du +15
cs.CLcs.AIcs.LGarXiv:2210.02414v22022
Lookahead Optimizer: k steps forward, 1 step back
Michael R. Zhang, James Lucas, Geoffrey Hinton +1
cs.LGcs.NEstat.MLarXiv:1907.08610v22019
Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models
Haoran Hao, Shahram Najam Syed, Jeff Schneider +1
cs.ROcs.AIcs.LGarXiv:2608.24042v12026
Interpretable Counterfactual Explanations Guided by Prototypes
Arnaud Van Looveren, Janis Klaise
cs.LGstat.MLarXiv:1907.02584v22019

Machine Learning

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs

Backprop KF: Learning Discriminative Deterministic State Estimators

Different representation learning objectives recover distinct latent structures from the same psychometric data

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models

Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

Steering Llama 2 via Contrastive Activation Addition

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

D4: Improving LLM Pretraining via Document De-Duplication and Diversification

PMET: Precise Model Editing in a Transformer

On the use of deep learning for phase recovery

Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving

A Survey of Techniques for Optimizing Transformer Inference

Generating images with recurrent adversarial networks

A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks

Non-Autoregressive Machine Translation with Latent Alignments

Training with Quantization Noise for Extreme Model Compression

Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

Self-Refine: Iterative Refinement with Self-Feedback

Diffusion Schrödinger Bridge Matching

Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help?

Foundation Models and Fair Use

Neural Programmer-Interpreters

Stabilizing Transformer Training by Preventing Attention Entropy Collapse

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Deep learning for Stock Market Prediction

Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation

Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis

A Survey on The Expressive Power of Graph Neural Networks

3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction

Knowledge Graphs

Statistical power for cluster analysis

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Calibrating Deep Neural Networks using Focal Loss

Do We Really Need Complicated Model Architectures For Temporal Networks?

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination

pymoo: Multi-objective Optimization in Python

Data-Free Adversarial Distillation

Text Understanding from Scratch

Orthogonal Gradient Descent for Continual Learning

Bayesian Flow Networks for Offline Trajectory Planning

Improving and generalizing flow-based generative models with minibatch optimal transport

The Dialect Tax: Dialectal Biases Persist throughout the Language Modeling Pipeline

Soft-Label Dataset Distillation and Text Dataset Distillation

Human-Timescale Adaptation in an Open-Ended Task Space

Hamiltonian Generative Networks

Source-Free Unsupervised Domain Adaptation: A Survey

Guaranteed Matrix Completion via Non-convex Factorization

Synthetic Data for Deep Learning

Acoustic Scene Classification

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Addressing the Rare Word Problem in Neural Machine Translation

Deep Equilibrium Models

GLM-130B: An Open Bilingual Pre-trained Model

Lookahead Optimizer: k steps forward, 1 step back

Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models

Interpretable Counterfactual Explanations Guided by Prototypes