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Conditional Teacher-Student Learning

Conditional Teacher-Student Learning

28 April 2019
Zhong Meng
Jinyu Li
Yong Zhao
Y. Gong
ArXivPDFHTML

Papers citing "Conditional Teacher-Student Learning"

10 / 10 papers shown
Title
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Wei Yao
Wenkai Yang
Z. Wang
Yankai Lin
Yong Liu
ELM
103
1
0
03 Feb 2025
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
21
16
0
08 Aug 2023
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
Chaojian Li
Wenwan Chen
Jiayi Yuan
Yingyan Lin
Ashutosh Sabharwal
23
0
0
19 Mar 2023
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
21
22
0
07 Apr 2022
Learn From the Past: Experience Ensemble Knowledge Distillation
Learn From the Past: Experience Ensemble Knowledge Distillation
Chaofei Wang
Shaowei Zhang
S. Song
Gao Huang
25
4
0
25 Feb 2022
Sequence-level self-learning with multiple hypotheses
Sequence-level self-learning with multiple hypotheses
K. Kumatani
Dimitrios Dimitriadis
Yashesh Gaur
R. Gmyr
Sefik Emre Eskimez
Jinyu Li
Michael Zeng
SSL
17
1
0
10 Dec 2021
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech
  Recognition
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
Zhong Meng
S. Parthasarathy
Eric Sun
Yashesh Gaur
Naoyuki Kanda
Liang Lu
Xie Chen
Rui Zhao
Jinyu Li
Y. Gong
AuLLM
14
107
0
03 Nov 2020
Classification of Diabetic Retinopathy Using Unlabeled Data and
  Knowledge Distillation
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
Sajjad Abbasi
M. Hajabdollahi
P. Khadivi
N. Karimi
Roshank Roshandel
S. Shirani
S. Samavi
14
18
0
01 Sep 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,835
0
09 Jun 2020
Modeling Teacher-Student Techniques in Deep Neural Networks for
  Knowledge Distillation
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
Sajjad Abbasi
M. Hajabdollahi
N. Karimi
S. Samavi
10
28
0
31 Dec 2019
1