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Teacher-Student Architecture for Knowledge Learning: A Survey

Teacher-Student Architecture for Knowledge Learning: A Survey

28 October 2022
Chengming Hu
Xuan Li
Dan Liu
Xi Chen
Ju Wang
Xue Liu
ArXivPDFHTML

Papers citing "Teacher-Student Architecture for Knowledge Learning: A Survey"

23 / 23 papers shown
Title
Weather-Aware Object Detection Transformer for Domain Adaptation
Weather-Aware Object Detection Transformer for Domain Adaptation
Soheil Gharatappeh
S. Y. Sekeh
Vikas Dhiman
ViT
21
0
0
15 Apr 2025
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
Arshia Afzal
V. Cevher
Mahsa Shoaran
57
0
0
11 Mar 2025
FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization
FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization
Hamid Gadirov
Jos B. T. M. Roerdink
Steffen Frey
AI4CE
60
1
0
24 Feb 2025
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Helia Mohamadi
Mohammad Ali Keyvanrad
Mohammad Reza Mohammadi
38
0
0
23 Dec 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Jianqing Zhang
Yang Janet Liu
Yang Hua
Jian Cao
Qiang Yang
FedML
30
0
0
09 Oct 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep
  Learning Models for ECG-Free Dynamic Coronary Roadmapping
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
Yikang Liu
Lin Zhao
Eric Z. Chen
Xiao Chen
Terrence Chen
Shanhui Sun
MedIm
26
0
0
28 Aug 2024
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
Yunting Liu
Shreya Bhandari
Z. Pardos
23
8
0
15 Jul 2024
Understanding the Gains from Repeated Self-Distillation
Understanding the Gains from Repeated Self-Distillation
Divyansh Pareek
Simon S. Du
Sewoong Oh
32
3
0
05 Jul 2024
Development and Validation of Fully Automatic Deep Learning-Based
  Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal
  Carcinoma
Development and Validation of Fully Automatic Deep Learning-Based Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal Carcinoma
S. Jha
Purnendu Mishra
Shubham Mathur
Gursewak Singh
Rajiv Kumar
Kiran R. Aatre
Suraj Rengarajan
19
1
0
16 Jun 2024
Augmenting Offline RL with Unlabeled Data
Augmenting Offline RL with Unlabeled Data
Zhao Wang
Briti Gangopadhyay
Jia-Fong Yeh
Shingo Takamatsu
OffRL
26
0
0
11 Jun 2024
SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter
SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter
Songbur Wong
3DPC
16
1
0
26 Mar 2024
Data Augmentation using Large Language Models: Data Perspectives,
  Learning Paradigms and Challenges
Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
Bosheng Ding
Chengwei Qin
Ruochen Zhao
Tianze Luo
Xinze Li
Guizhen Chen
Wenhan Xia
Junjie Hu
A. Luu
Shafiq R. Joty
29
16
0
05 Mar 2024
Unsupervised Text Style Transfer via LLMs and Attention Masking with
  Multi-way Interactions
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions
Lei Pan
Yunshi Lan
Yang Li
Weining Qian
30
5
0
21 Feb 2024
Low-resource finetuning of foundation models beats state-of-the-art in
  histopathology
Low-resource finetuning of foundation models beats state-of-the-art in histopathology
Benedikt Roth
Valentin Koch
S. J. Wagner
Julia A. Schnabel
Carsten Marr
Tingying Peng
MedIm
13
5
0
09 Jan 2024
Neural Network Pruning by Gradient Descent
Neural Network Pruning by Gradient Descent
Zhang Zhang
Ruyi Tao
Jiang Zhang
6
4
0
21 Nov 2023
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for
  Layer Segmentation
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Yuli Wu
Weidong He
Dennis Eschweiler
Ningxin Dou
Zixin Fan
Shengli Mi
Peter Walter
Johannes Stegmaier
MedIm
DiffM
15
3
0
09 Nov 2023
Minimizing Convex Functionals over Space of Probability Measures via KL
  Divergence Gradient Flow
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
Rentian Yao
Linjun Huang
Yun Yang
11
3
0
01 Nov 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Bojue Wang
Chun-Xia Ma
Bin Liu
Nianbo Liu
Jinqi Zhu
12
1
0
10 Oct 2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekstrom Kelvinius
D. Georgiev
Artur P. Toshev
Johannes Gasteiger
11
6
0
26 Jun 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
19
15
0
17 Feb 2023
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Chenxiao Yang
Junwei Pan
Xiaofeng Gao
Tingyu Jiang
Dapeng Liu
Guihai Chen
26
44
0
20 Feb 2022
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Learning Student-Friendly Teacher Networks for Knowledge Distillation
D. Park
Moonsu Cha
C. Jeong
Daesin Kim
Bohyung Han
111
99
0
12 Feb 2021
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
187
436
0
12 Jun 2018
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