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A soft nearest-neighbor framework for continual semi-supervised learning

A soft nearest-neighbor framework for continual semi-supervised learning

9 December 2022
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
    SSL
    BDL
    CLL
ArXivPDFHTML

Papers citing "A soft nearest-neighbor framework for continual semi-supervised learning"

4 / 4 papers shown
Title
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
28
2
0
23 Aug 2023
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
215
848
0
15 Oct 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
121
35
0
23 Jan 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
191
243
0
14 Jun 2018
1