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On student-teacher deviations in distillation: does it pay to disobey?

On student-teacher deviations in distillation: does it pay to disobey?

30 January 2023
Vaishnavh Nagarajan
A. Menon
Srinadh Bhojanapalli
H. Mobahi
Surinder Kumar
ArXivPDFHTML

Papers citing "On student-teacher deviations in distillation: does it pay to disobey?"

6 / 6 papers shown
Title
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Cuipeng Wang
Tieyuan Chen
Haipeng Wang
49
0
0
09 Feb 2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. E. Ildiz
Halil Alperen Gozeten
Ege Onur Taga
Marco Mondelli
Samet Oymak
54
2
0
24 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
58
6
0
06 Oct 2024
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data
  Efficiency and Imperfect Teacher
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Guangda Ji
Zhanxing Zhu
51
42
0
20 Oct 2020
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
267
404
0
09 Apr 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
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