Approximating Instance-Dependent Noise via Instance-Confidence Embedding

25 March 2021

Papers citing "Approximating Instance-Dependent Noise via Instance-Confidence Embedding"

4 / 4 papers shown

Title
Training Dynamic based data filtering may not work for NLP datasets Arka Talukdar Monika Dagar Prachi Gupta Varun G. Menon NoLa 27 3 0 19 Sep 2021
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 172 0 24 May 2019
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 6,943 0 20 Apr 2018
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013