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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18,901 to 18,960 of 20,199

Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui +3
cs.LGcs.AIarXiv:2010.13902v32020
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed +1
cs.LGstat.MLarXiv:1406.5298v22014
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie +1
cs.LGcs.CLstat.MLarXiv:1902.10197v12019
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz, Ron Mokady, Jay Tenenbaum +3
cs.CVcs.CLcs.GRarXiv:2208.01626v12022
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
cs.NEcs.LGarXiv:1610.02242v32016
A Survey on Deep Transfer Learning
Chuanqi Tan, Fuchun Sun, Tao Kong +3
cs.LGstat.MLarXiv:1808.01974v12018
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
eess.IVcs.CVcs.LGarXiv:2103.10504v32021
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten +3
cs.CVcs.CLcs.LGarXiv:1612.06890v12016
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi, Karel Lenc
cs.CVcs.LGcs.MSarXiv:1412.4564v32014
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Tan, Mohit Bansal
cs.CLcs.CVcs.LGarXiv:1908.07490v32019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao, Yujiao Song, Chao Zhang +5
cs.LGstat.MLarXiv:1811.05320v32018
Reformer: The Efficient Transformer
Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya
cs.LGcs.CLstat.MLarXiv:2001.04451v22020
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis +10
cs.SDcs.LGstat.MLarXiv:1609.09430v22016
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y. Guan, Barret Zoph +2
cs.LGcs.CLcs.CVarXiv:1802.03268v22018
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas +1
cs.LGstat.MLarXiv:2006.16236v32020
OpenVLA: An Open-Source Vision-Language-Action Model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti +15
cs.ROcs.LGarXiv:2406.09246v32024
Progressive Neural Networks
Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins +5
cs.LGarXiv:1606.04671v42016
SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection
Changshun Wu, Weicheng He, Xiaowei Huang +1
cs.CVcs.LGarXiv:2608.19080v12026
Cyclical Learning Rates for Training Neural Networks
Leslie N. Smith
cs.CVcs.LGcs.NEarXiv:1506.01186v62015
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Seongjae Kang, Taehyung Yu, Sung Ju Hwang
cs.AIcs.CLcs.LGarXiv:2608.19861v12026
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas +1
cs.LGcs.IRcs.NEarXiv:1511.06939v42015
PaLM-E: An Embodied Multimodal Language Model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi +19
cs.LGcs.AIcs.ROarXiv:2303.03378v12023
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey +8
cs.LGcs.CLstat.MLarXiv:2007.14062v22020
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser +4
cs.CVcs.LGstat.MLarXiv:1512.02134v12015
A Survey on Multi-Task Learning
Yu Zhang, Qiang Yang
cs.LGcs.AIarXiv:1707.08114v32017
Locating and Editing Factual Associations in GPT
Kevin Meng, David Bau, Alex Andonian +1
cs.CLcs.LGarXiv:2202.05262v52022
Self-Evolving Visual Questioner
Yijun Liang, Hengguang Zhou, Ming Li +3
cs.CVcs.LGarXiv:2606.13929v12026
Privacy-Preserving Dataset Curation for Kuala Lumpur Urban Traffic: Grounded Vision-Language Detection with Spatial Vehicle-Context Filtering
Mohammed Abdul Al Arafat Tanzin, Rudzidatul Akmam Dziyauddin
cs.CVcs.AIcs.LGarXiv:2608.14724v12026
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn, Anthony Brohan, Noah Brown +42
cs.ROcs.CLcs.LGarXiv:2204.01691v22022
What Makes Software Issue Resolution Tasks Difficult for Agents?
Ebtesam Al-Haque, Brittany Johnson
cs.SEcs.AIcs.CLarXiv:2608.18280v12026
A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains
Xinyi Shan
cs.LGarXiv:2608.15809v12026
Towards a Physics Foundation Model
Florian Wiesner, Zoë J. Gray, Matthias Wessling +1
cs.LGcs.AIstat.MLarXiv:2509.13805v42025
LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence Prediction
Chunlei Yang, Shuyan Li, Zhong Cao
cs.LGcs.CVarXiv:2608.14657v12026
Summaries:한국어
When Single-Dataset Conclusions Fail: A 45-Task Study of Threshold Tuning and Resampling for Imbalanced Classification
Diyorbek Musaev
cs.AIcs.LGarXiv:2608.16147v12026
Summaries:한국어
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Weixin Liang, Yuhui Zhang, Yongchan Kwon +2
cs.CLcs.AIcs.CVarXiv:2203.02053v22022
Summaries:한국어
Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
Adriana-Simona Mihăiţă, Clarence Cheung, Artur Grigorev +2
cs.LGcs.CYarXiv:2608.16913v12026
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer +6
cs.LGcs.NEarXiv:1703.05051v52017
MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation
Youjun Zhao, Alex Warren, Gary K. L. Tam +1
cs.CVcs.LGarXiv:2608.07463v12026
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
Tianyi Men, Zhuoran Jin, Kang Liu +1
cs.CLcs.AIcs.LGarXiv:2607.24720v12026
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
Shigui Li, Delu Zeng
cs.LGarXiv:2607.17972v12026
Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL
Darshan Deshpande
cs.AIcs.LGarXiv:2607.16204v12026
Do Thinking Tokens Help with Safety?
Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora
cs.LGcs.AIcs.CLarXiv:2606.25013v12026
Summaries:한국어
Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation
Sihan Wang, Xiyao Liu, Lianqing Liu +1
cs.LGcs.CVarXiv:2606.19120v22026
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
Jiacheng Chen, Xinyu Zhang, Shunkai Zhang +20
cs.LGcs.AIcs.CLarXiv:2606.13473v12026
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +307
cs.AIcs.CLcs.LGarXiv:2606.05405v22026
BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution
Yangzhen Wu, Aaron J. Li, Wenjie Ma +10
cs.SEcs.AIcs.CLarXiv:2606.01286v12026
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
Guinan Su, Yanwu Yang, Xueyan Li +1
cs.LGcs.CLarXiv:2605.12460v12026
Multimodal Deep Learning
Cem Akkus, Luyang Chu, Vladana Djakovic +14
cs.CLcs.LGstat.MLarXiv:2301.04856v12023
Summaries:한국어
DarwinX: Evolving Agent Harnesses Through Natural Selection
Yifan Zhang, Yutong Dai, Juntao Tan +9
cs.NEcs.AIcs.LGarXiv:2608.07545v12026
CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration
J. Raphael Schäfer, Kai Geissler, Till Nicke +27
cs.CVcs.LGarXiv:2608.16268v12026
Domain-Specific Text Embedding Models for Entity Resolution
Khajesh Sapram, Srivardhani Raju, Kishore Konda
cs.IRcs.AIcs.LGarXiv:2608.16161v12026
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss
Bakbergen Ryskulov, Iker García-Ferrero, David Montero +5
cs.CLcs.AIcs.LGarXiv:2608.03796v12026
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
Emre Ardıç, Yakup Genç
cs.CVcs.LGarXiv:2604.23426v12026
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111
cs.LGcs.AIcs.CYarXiv:2108.07258v32021
Deep Learning with Differential Privacy
Martín Abadi, Andy Chu, Ian Goodfellow +4
stat.MLcs.CRcs.LGarXiv:1607.00133v22016
Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning
Mathilde Papillon, Guillermo Bernárdez, Álvaro Ballón Barreiro +4
cs.LGarXiv:2608.15388v12026
Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
Deep Kumar Ganguly, Jan Křetínský
cs.AIcs.LGstat.MLarXiv:2608.19073v12026
Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev +5
cs.LGcs.AIcs.CEarXiv:2608.18940v12026
Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis
Souranil Kahali, Rituparna Bose, Abner Hernandez +4
cs.CLcs.AIcs.LGarXiv:2608.18825v12026

Machine Learning

Graph Contrastive Learning with Augmentations

Semi-Supervised Learning with Deep Generative Models

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Prompt-to-Prompt Image Editing with Cross Attention Control

Temporal Ensembling for Semi-Supervised Learning

A Survey on Deep Transfer Learning

UNETR: Transformers for 3D Medical Image Segmentation

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

MatConvNet - Convolutional Neural Networks for MATLAB

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

Reformer: The Efficient Transformer

CNN Architectures for Large-Scale Audio Classification

Efficient Neural Architecture Search via Parameter Sharing

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

OpenVLA: An Open-Source Vision-Language-Action Model

Progressive Neural Networks

SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection

Cyclical Learning Rates for Training Neural Networks

PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents

Session-based Recommendations with Recurrent Neural Networks

PaLM-E: An Embodied Multimodal Language Model

Big Bird: Transformers for Longer Sequences

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

A Survey on Multi-Task Learning

Locating and Editing Factual Associations in GPT

Self-Evolving Visual Questioner

Privacy-Preserving Dataset Curation for Kuala Lumpur Urban Traffic: Grounded Vision-Language Detection with Spatial Vehicle-Context Filtering

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

What Makes Software Issue Resolution Tasks Difficult for Agents?

A Pre-Specified Construction-Confirmation Test of Operation-Level Causal Transfer Across Finite Isomorphic Symbolic Domains

Towards a Physics Foundation Model

LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence Prediction

When Single-Dataset Conclusions Fail: A 45-Task Study of Threshold Tuning and Resampling for Imbalanced Classification

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data

Deep learning with convolutional neural networks for EEG decoding and visualization

MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation

The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

Do Thinking Tokens Help with Safety?

Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation

MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling

Agents' Last Exam

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Multimodal Deep Learning

DarwinX: Evolving Agent Harnesses Through Natural Selection

CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration

Domain-Specific Text Embedding Models for Entity Resolution

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

On the Opportunities and Risks of Foundation Models

Deep Learning with Differential Privacy

Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning

Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk

Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis

Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis