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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

Habib Hajimolahoseini
Omar Mohamed Awad
Walid Ahmed
Austin Wen
Saina Asani
Mohammad Hassanpour
Farnoosh Javadi
Mehdi Ahmadi
Foozhan Ataiefard
Kangling Liu
Yang Liu
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Papers citing "SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling"

3 / 3 papers shown
Title
Slamming: Training a Speech Language Model on One GPU in a Day
Slamming: Training a Speech Language Model on One GPU in a Day
Gallil Maimon
Avishai Elmakies
Yossi Adi
89
3
0
19 Feb 2025
Improving Resnet-9 Generalization Trained on Small Datasets
Improving Resnet-9 Generalization Trained on Small Datasets
Omar Mohamed Awad
Habib Hajimolahoseini
Michael Lim
Gurpreet Gosal
Walid Ahmed
Yang Liu
Gordon Deng
80
2
0
07 Sep 2023
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
Habib Hajimolahoseini
Walid Ahmed
Yang Liu
OffRLMQ
84
7
0
07 Sep 2023

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