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SLaM: Student-Label Mixing for Distillation with Unlabeled Examples

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples

8 February 2023
Vasilis Kontonis
Fotis Iliopoulos
Khoa Trinh
Cenk Baykal
Gaurav Menghani
Erik Vee
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Papers citing "SLaM: Student-Label Mixing for Distillation with Unlabeled Examples"

6 / 6 papers shown
Title
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran
Vasilis Kontonis
Konstantinos Stavropoulos
Kevin Tian
92
0
0
20 Jan 2025
Linear Projections of Teacher Embeddings for Few-Class Distillation
Linear Projections of Teacher Embeddings for Few-Class Distillation
Noel Loo
Fotis Iliopoulos
Wei Hu
Erik Vee
30
0
0
30 Sep 2024
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
241
509
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
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
296
39,198
0
01 Sep 2014
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