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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"

14 / 14 papers shown
Title
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLL
VLM
40
1
0
02 Mar 2025
Uncertainty Quantification in Continual Open-World Learning
Uncertainty Quantification in Continual Open-World Learning
Amanda Rios
I. Ndiour
Parual Datta
Jaroslaw Sydir
Omesh Tickoo
Nilesh A. Ahuja
BDL
81
0
0
21 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector
CONCLAD: COntinuous Novel CLAss Detector
Amanda Rios
I. Ndiour
Parual Datta
Omesh Tickoo
Nilesh A. Ahuja
85
0
0
13 Dec 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
38
1
0
26 Aug 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental
  Learning
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning
Jayateja Kalla
Soma Biswas
SSL
31
0
0
08 Aug 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLL
SSL
36
9
0
11 Jul 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
34
3
0
23 Apr 2024
AIDE: An Automatic Data Engine for Object Detection in Autonomous
  Driving
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
Mingfu Liang
Jong-Chyi Su
S. Schulter
Sparsh Garg
Shiyu Zhao
Ying Nian Wu
Manmohan Chandraker
VLM
52
14
0
26 Mar 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
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
33
2
0
23 Aug 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
38
601
0
31 Jan 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
252
862
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
131
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
202
243
0
14 Jun 2018
1