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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18,421 to 18,480 of 20,199

Molecular Graph Convolutions: Moving Beyond Fingerprints
Steven Kearnes, Kevin McCloskey, Marc Berndl +2
stat.MLcs.LGarXiv:1603.00856v32016
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel +1
cs.LGcs.AIarXiv:1702.08165v22017
Efficient Transformers: A Survey
Yi Tay, Mostafa Dehghani, Dara Bahri +1
cs.LGcs.AIcs.CLarXiv:2009.06732v32020
Learning to Plan Chemical Syntheses
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
cs.AIcs.LGphysics.chem-pharXiv:1708.04202v12017
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban +3
cs.LGcs.AIarXiv:2310.08419v42023
DeepGCNs: Can GCNs Go as Deep as CNNs?
Guohao Li, Matthias Müller, Ali Thabet +1
cs.CVcs.LGarXiv:1904.03751v22019
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv, Naftali Tishby
cs.LGarXiv:1703.00810v32017
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott +4
cs.CLcs.AIcs.LGarXiv:1809.05053v12018
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks, Norman Mu, Ekin D. Cubuk +3
stat.MLcs.CVcs.LGarXiv:1912.02781v22019
Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao +2
cs.LGcs.AIcs.CVarXiv:2103.02503v72021
Advancing Creative Physical Intelligence in Large Multimodal Models
Cheng Qian, Hyeonjeong Ha, Jiayu Liu +10
cs.AIcs.CLcs.LGarXiv:2605.26396v22026
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
cs.LGstat.MLarXiv:1906.00910v22019
Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
Zixin Jessie Chen, Zhuo Chen, Archer Wang +4
cs.CVcond-mat.stat-mechcs.AIarXiv:2605.26032v12026
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao +6
cs.CVcs.GRcs.LGarXiv:2307.04725v22023
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy, Lance Kaplan, Melih Kandemir
cs.LGstat.MLarXiv:1806.01768v32018
What Can We Learn Privately?
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim +2
cs.LGcs.CCcs.CRarXiv:0803.0924v32008
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray
stat.MLcs.LGarXiv:1705.07057v42017
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang, Xiaoyu Cao, Jinyuan Jia +1
cs.CRcs.DCcs.LGarXiv:1911.11815v42019
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1811.03962v52018
RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models
Xing Cong, Hanlin Tang, Kan Liu +3
cs.LGarXiv:2605.26632v32026
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018
How Can We Know What Language Models Know?
Zhengbao Jiang, Frank F. Xu, Jun Araki +1
cs.CLcs.LGarXiv:1911.12543v22019
Octo: An Open-Source Generalist Robot Policy
Octo Model Team, Dibya Ghosh, Homer Walke +16
cs.ROcs.LGarXiv:2405.12213v22024
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.CVcs.LGarXiv:1906.05849v52019
PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
Runtian Wang, Renhao Xue, Baige Chen +1
cs.LGphysics.opticsarXiv:2605.26502v22026
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff, Joan Bruna, Yann LeCun
cs.LGcs.CVcs.NEarXiv:1506.05163v12015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
cs.LGcs.AIcs.GTarXiv:1801.04406v42018
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong, Wenbing Huang, Tingyang Xu +1
cs.LGcs.NIstat.MLarXiv:1907.10903v42019
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
Yi Jing, Zao Dai, Jinwu Hu +4
cs.LGcs.AIcs.CLarXiv:2605.27354v12026
Less is More: Early Stopping Rollout for On-Policy Distillation
Zhou Ziheng, Jiaqi Li, Huacong Tang +2
cs.LGcs.AIarXiv:2605.27028v12026
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
stat.MLcs.LGstat.COarXiv:1506.02557v22015
Not only where, But when: Temporal Scheduling for RLVR
Jinghao Zhang, Ruilin Li, Feng Zhao +1
cs.LGarXiv:2605.25381v12026
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu +2
cs.CLcs.AIcs.LGarXiv:1704.04683v52017
Recursive Flow Matching
Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1
cs.LGcs.AIcs.CVarXiv:2605.26535v12026
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
cs.CLcs.LGarXiv:1908.08345v22019
MobileMoE: Scaling On-Device Mixture of Experts
Yanbei Chen, Hanxian Huang, Ernie Chang +5
cs.LGcs.AIcs.CLarXiv:2605.27358v12026
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
cs.LGcs.CVstat.MLarXiv:1909.06335v12019
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
Hyunmin Cho, Woo Kyoung Han, Kyong Hwan Jin
cs.LGcs.AIarXiv:2605.27476v12026
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li +5
cs.IRcs.CLcs.LGarXiv:2007.00808v22020
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Joshua Ainslie, James Lee-Thorp, Michiel de Jong +3
cs.CLcs.LGarXiv:2305.13245v32023
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park, Alexei A. Efros, Richard Zhang +1
cs.CVcs.LGarXiv:2007.15651v32020
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V. Le +1
cs.CVcs.LGarXiv:2106.04803v22021
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
Nicole Koenigstein
cs.MAcs.AIcs.LGarXiv:2605.27466v12026
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGarXiv:1703.07332v32017
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan +3
cs.CVcs.AIcs.LGarXiv:2106.15282v32021
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre +8
cs.LGcs.CLcs.CVarXiv:2203.05482v32022
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief, Wei Chen, Yuanming Shi +2
cs.NIcs.LGarXiv:1904.11686v22019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGcs.NEstat.MLarXiv:1802.04364v42018
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Jianlv Chen, Shitao Xiao, Peitian Zhang +3
cs.CLcs.AIcs.LGarXiv:2402.03216v52024
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu, Tianxiang Sun, Yige Xu +3
cs.CLcs.LGarXiv:2003.08271v42020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
cs.LGcs.AIcs.MAarXiv:1911.10635v22019
A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G. T. Barrett +4
cs.CLcs.LGarXiv:1706.01427v12017
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg, Omer Levy
cs.CLcs.LGstat.MLarXiv:1402.3722v12014
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini, Alessandro Rozza, Aditya Menon +2
stat.MLcs.LGarXiv:1609.03683v22016
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio, Fabio Roli
cs.CVcs.CRcs.GTarXiv:1712.03141v22017
Understanding intermediate layers using linear classifier probes
Guillaume Alain, Yoshua Bengio
stat.MLcs.LGarXiv:1610.01644v42016
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen +2
cs.ROcs.LGeess.SYarXiv:2010.11251v12020

Machine Learning

Molecular Graph Convolutions: Moving Beyond Fingerprints

Reinforcement Learning with Deep Energy-Based Policies

Efficient Transformers: A Survey

Learning to Plan Chemical Syntheses

Jailbreaking Black Box Large Language Models in Twenty Queries

DeepGCNs: Can GCNs Go as Deep as CNNs?

Opening the Black Box of Deep Neural Networks via Information

XNLI: Evaluating Cross-lingual Sentence Representations

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Domain Generalization: A Survey

Advancing Creative Physical Intelligence in Large Multimodal Models

Learning Representations by Maximizing Mutual Information Across Views

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Evidential Deep Learning to Quantify Classification Uncertainty

What Can We Learn Privately?

Masked Autoregressive Flow for Density Estimation

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

A Convergence Theory for Deep Learning via Over-Parameterization

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models

Rethinking the Value of Network Pruning

How Can We Know What Language Models Know?

Octo: An Open-Source Generalist Robot Policy

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Contrastive Multiview Coding

PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

Deep Convolutional Networks on Graph-Structured Data

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Which Training Methods for GANs do actually Converge?

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Less is More: Early Stopping Rollout for On-Policy Distillation

Variational Dropout and the Local Reparameterization Trick

Not only where, But when: Temporal Scheduling for RLVR

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Recursive Flow Matching

Text Summarization with Pretrained Encoders

MobileMoE: Scaling On-Device Mixture of Experts

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Contrastive Learning for Unpaired Image-to-Image Translation

CoAtNet: Marrying Convolution and Attention for All Data Sizes

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

Cascaded Diffusion Models for High Fidelity Image Generation

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

The Roadmap to 6G -- AI Empowered Wireless Networks

Junction Tree Variational Autoencoder for Molecular Graph Generation

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Pre-trained Models for Natural Language Processing: A Survey

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

A simple neural network module for relational reasoning

word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method

Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

Understanding intermediate layers using linear classifier probes

Learning Quadrupedal Locomotion over Challenging Terrain