Concepedia

Sheng Liu

SL

Statistics

Publications

15

Citations

787

H-Index

12

Active since

2003

Affiliations

New York University(Current)

Courant Institute of Mathematical Sciences

University of Applied Sciences and Arts of Southern Switzerland

Shandong University of Political Science and Law

Sheng Liu is an author at New York University specializing in engineering, machine learning, and data science.

Top concepts

EngineeringMachine LearningData ScienceDeep LearningPattern RecognitionComputer ScienceSemi-supervised LearningComputer VisionSupervised LearningImage Analysis

Publications per year

2003–2023

15

Publications

15

Early-Learning Regularization Prevents Memorization of Noisy Labels

Sheng Liu, Jonathan Niles‐Weed, Narges Razavian et al. · arXiv (Cornell University) · 2020 · 261 citations · Full text

Natural Language Processing, Few-shot Learning, Novel Framework +14

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

Sheng Liu, Kangning Liu, Weicheng Zhu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 105 citations

Sheng Liu, Zhou Ren, Junsong Yuan · 2018 · 74 citations

Natural Language Processing, Image Analysis, Machine Learning +12

On Learning Contrastive Representations for Learning with Noisy Labels

Yi Li, Sheng Liu, Qi She et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 66 citations

Structured Prediction, Regularization Function, Deep Neural Networks +13

Early-Learning Regularization Prevents Memorization of Noisy Labels

Sheng Liu, Jonathan Niles‐Weed, Narges Razavian et al. · Neural Information Processing Systems · 2020 · 58 citations

Few-shot Learning, Structured Prediction, Engineering +16

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