ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.09191
  4. Cited By
Training Dynamic based data filtering may not work for NLP datasets

Training Dynamic based data filtering may not work for NLP datasets

19 September 2021
Arka Talukdar
Monika Dagar
Prachi Gupta
Varun G. Menon
    NoLa
ArXivPDFHTML

Papers citing "Training Dynamic based data filtering may not work for NLP datasets"

5 / 5 papers shown
Title
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
Qi Zhang
Huitong Pan
Zhijia Chen
Longin Jan Latecki
Cornelia Caragea
Eduard Constantin Dragut
25
0
0
06 Apr 2025
Read, Look or Listen? What's Needed for Solving a Multimodal Dataset
Read, Look or Listen? What's Needed for Solving a Multimodal Dataset
Netta Madvil
Yonatan Bitton
Roy Schwartz
11
2
0
06 Jul 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training
  Dynamics
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
28
27
0
20 Sep 2022
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
210
188
0
03 May 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1