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Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
28 May 2021
Ehsan Kamalloo
Mehdi Rezagholizadeh
Peyman Passban
Ali Ghodsi
AAML
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Papers citing
"Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax"
9 / 9 papers shown
Title
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation
Md. Akmal Haidar
Mehdi Rezagholizadeh
Abbas Ghaddar
Khalil Bibi
Philippe Langlais
Pascal Poupart
CLL
33
6
0
15 Apr 2022
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
Mehdi Rezagholizadeh
A. Jafari
Puneeth Salad
Pranav Sharma
Ali Saheb Pasand
A. Ghodsi
79
17
0
16 Oct 2021
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
93
25
0
16 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md. Akmal Haidar
Nithin Anchuri
Mehdi Rezagholizadeh
Abbas Ghaddar
Philippe Langlais
Pascal Poupart
31
22
0
21 Sep 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding
Shivendra Bhardwaj
Abbas Ghaddar
Ahmad Rashid
Khalil Bibi
Cheng-huan Li
A. Ghodsi
Philippe Langlais
Mehdi Rezagholizadeh
19
1
0
21 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
Tianda Li
Ahmad Rashid
A. Jafari
Pranav Sharma
A. Ghodsi
Mehdi Rezagholizadeh
AAML
30
5
0
13 Sep 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Ahmad Rashid
Vasileios Lioutas
Abbas Ghaddar
Mehdi Rezagholizadeh
21
27
0
31 Dec 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu
Dinghan Shen
Yelong Shen
Sandra Sajeev
Jiawei Han
Weizhu Chen
145
66
0
16 Oct 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
232
438
0
25 Sep 2019
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