ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.06976
  4. Cited By
Representational Continuity for Unsupervised Continual Learning

Representational Continuity for Unsupervised Continual Learning

13 October 2021
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
    CLL
    SSL
ArXivPDFHTML

Papers citing "Representational Continuity for Unsupervised Continual Learning"

18 / 18 papers shown
Title
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Y. Wang
Baile Xu
Jian Zhao
F. Shen
CLL
100
0
0
28 Jan 2025
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
23
4
0
13 Jul 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
21
0
0
28 Jun 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
40
0
0
23 May 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
20
3
0
07 Mar 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
22
4
0
21 Feb 2024
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Junchen Zhu
Lianli Gao
H. Shen
CLL
20
2
0
25 Nov 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
20
2
0
23 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
18
20
0
20 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your
  model?
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta
Benjamin Thérien
Adam Ibrahim
Mats L. Richter
Quentin G. Anthony
Eugene Belilovsky
Irina Rish
Timothée Lesort
KELM
13
98
0
08 Aug 2023
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
23
8
0
10 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
27
29
0
09 Oct 2022
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
12
156
0
11 Oct 2021
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
87
69
0
13 Oct 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
190
276
0
22 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
229
3,029
0
09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
172
523
0
27 Jun 2012
1