SwiftLearn: A Data-Efficient Training Method of Deep Learning Models
using Importance Sampling

SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling

25 November 2023

Habib Hajimolahoseini

Omar Mohamed Awad

Mohammad Hassanpour

Farnoosh Javadi

Foozhan Ataiefard

Yang Liu

Papers citing "SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling"

4 / 4 papers shown

Title
Fast and Accurate Importance Weighting for Correcting Sample Bias Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis 40 7 0 09 Sep 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 38 20 0 31 May 2022
A Short Study on Compressing Decoder-Based Language Models Tianda Li Yassir El Mesbahi I. Kobyzev Ahmad Rashid A. Mahmud Nithin Anchuri Habib Hajimolahoseini Yang Liu Mehdi Rezagholizadeh 84 25 0 16 Oct 2021
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