Robust Data Pruning under Label Noise via Maximizing Re-labeling
Accuracy

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

2 November 2023

Papers citing "Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy"

10 / 10 papers shown

Title
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation Doyoung Kim Youngjun Lee Joeun Kim Jihwan Bang Hwanjun Song Susik Yoon Jae-Gil Lee 29 0 0 10 May 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 59 0 0 01 Apr 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Zachary Ankner Cody Blakeney Kartik K. Sreenivasan Max Marion Matthew L. Leavitt Mansheej Paul 43 24 0 30 May 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 59 24 0 13 Oct 2022
Consistency Regularization Can Improve Robustness to Label Noise Erik Englesson Hossein Azizpour NoLa 97 20 0 04 Oct 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 243 4,469 0 23 Jan 2020