To Aggregate or Not? Learning with Separate Noisy Labels

14 June 2022

Zhaowei Zhu

Yang Liu

Papers citing "To Aggregate or Not? Learning with Separate Noisy Labels"

29 / 29 papers shown

Title
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation Michal Lukasik Lin Chen Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Felix X. Yu Sashank J. Reddi Gang Fu M. Bateni Sanjiv Kumar 18 0 0 15 Apr 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 50 0 0 05 Apr 2025
The Majority Vote Paradigm Shift: When Popular Meets Optimal Antonio Purificato Maria Sofia Bucarelli Anil Kumar Nelakanti Andrea Bacciu Fabrizio Silvestri Amin Mantrach 60 0 0 18 Feb 2025
Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop Ekaterina Artemova Akim Tsvigun Dominik Schlechtweg Natalia Fedorova Konstantin Chernyshev Sergei Tilga Boris Obmoroshev SyDa VLM 74 0 0 28 Jan 2025
Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training Mugdha Pandya Nafise Sadat Moosavi Diana Maynard 67 0 0 05 Dec 2024
LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang Jiaheng Wei Chris Liu Jinlong Pang Q. Liu A. Shah Yujia Bao Yang Liu Wei Wei KELM MU 32 6 0 14 Oct 2024
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations Zhi Qin Tan Olga Isupova Gustavo Carneiro Xiatian Zhu Yunpeng Li ObjD 22 0 0 10 Jul 2024
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback Emilia Agis Lerner Florian E. Dorner Elliott Ash Naman Goel 23 1 0 09 Jun 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji Zhaowei Zhu Wei Xi Olga Gadyatskaya Zilong Song Yong Cai Yang Liu FedML 27 7 0 25 Mar 2024
Perceptual Quality-based Model Training under Annotator Label Uncertainty Chenchao Zhou M. Prabhushankar Ghassan AlRegib 19 1 0 15 Mar 2024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers Jiaheng Wei Yuanshun Yao Jean-François Ton Hongyi Guo Andrew Estornell Yang Liu HILM 50 18 0 16 Feb 2024
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Florian E. Dorner Moritz Hardt 8 4 0 03 Feb 2024
Visual Objectification in Films: Towards a New AI Task for Video Interpretation Julie Tores L. Sassatelli Hui-Yin Wu Clement Bergman Lea Andolfi ... F. Precioso Thierry Devars Magali Guaresi Virginie Julliard Sarah Lecossais 25 2 0 24 Jan 2024
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 11 14 0 19 Nov 2023
Handwritten Text Recognition from Crowdsourced Annotations Solène Tarride Tristan Faine Mélodie Boillet Harold Mouchère Christopher Kermorvant 19 4 0 19 Jun 2023
The Importance of Human-Labeled Data in the Era of LLMs Yang Liu ALM 8 8 0 18 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 11 15 0 05 Jun 2023
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality Lars Schmarje Vasco Grossmann Tim Michels Jakob Nazarenus M. Santarossa Claudius Zelenka Reinhard Koch 21 3 0 22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 14 12 0 22 May 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 10 29 0 08 Dec 2022
On the Ramifications of Human Label Uncertainty Chenchao Zhou M. Prabhushankar Ghassan AlRegib 17 4 0 10 Nov 2022
Human-in-the-Loop Mixup Katherine M. Collins Umang Bhatt Weiyang Liu Vihari Piratla Ilia Sucholutsky Bradley C. Love Adrian Weller 17 7 0 02 Nov 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Y. Liu 6 21 0 06 Oct 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 8 44 0 02 Jul 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 11 37 0 02 Feb 2022
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 141 61 0 12 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 148 39 0 12 Oct 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 12 68 0 08 Jun 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020