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. 2106.14413
  4. Cited By
Co$^2$L: Contrastive Continual Learning

Co2^22L: Contrastive Continual Learning

28 June 2021
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
    CLL
    SSL
    VLM
ArXivPDFHTML

Papers citing "Co$^2$L: Contrastive Continual Learning"

33 / 183 papers shown
Title
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
104
46
0
06 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental
  Learning
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Bin Liu
Boyu Yang
Lingxi Xie
Ren Wang
Qi Tian
QiXiang Ye
CLL
9
16
0
01 Oct 2022
A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang
Bernhard Pfahringer
E. Frank
Albert Bifet
N. Lim
Yunzhe Jia
CLL
104
40
0
28 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
55
59
0
20 Sep 2022
Exploring Domain Incremental Video Highlights Detection with the
  LiveFood Benchmark
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Sen Pei
Shixiong Xu
Xiaojie Jin
18
0
0
12 Sep 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
22
14
0
24 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled
  Transfer
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
Arjun Ashok
K. J. Joseph
V. Balasubramanian
CLL
14
29
0
07 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
37
39
0
04 Aug 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Chunwei Ma
Zhanghexuan Ji
Ziyun Huang
Yan Shen
Mingchen Gao
Jinhui Xu
25
1
0
28 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
22
208
0
26 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
15
2
0
14 Jul 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
23
1
0
16 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning
Effects of Auxiliary Knowledge on Continual Learning
Giovanni Bellitto
M. Pennisi
S. Palazzo
Lorenzo Bonicelli
Matteo Boschini
Simone Calderara
C. Spampinato
CLL
17
6
0
03 Jun 2022
Transfer without Forgetting
Transfer without Forgetting
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
CLL
8
46
0
01 Jun 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
17
454
0
10 Apr 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODD
CLL
22
17
0
17 Mar 2022
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Hao Chen
Benoit Lagadec
F. Brémond
CLL
29
6
0
12 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
16
93
0
10 Mar 2022
InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights
Peyman Moghadam
Milad Ramezani
S. Sridharan
Clinton Fookes
3DPC
25
27
0
02 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
30
6
0
16 Feb 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
20
727
0
16 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas J. Guibas
OCL
21
1
0
15 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
19
157
0
08 Dec 2021
Coarse-To-Fine Incremental Few-Shot Learning
Coarse-To-Fine Incremental Few-Shot Learning
Xiang Xiang
Yuwen Tan
Qian Wan
Jing Ma
CLL
27
12
0
24 Nov 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging
  Corpora
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin
Dejiao Zhang
Henghui Zhu
Wei Xiao
Shang-Wen Li
Xiaokai Wei
Andrew O. Arnold
Xiang Ren
KELM
CLL
12
109
0
16 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
140
211
0
07 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
69
42
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
23
73
0
23 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCL
SSL
12
4
0
13 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
17
18
0
03 Sep 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
231
190
0
12 Jan 2021
Unified Probabilistic Deep Continual Learning through Generative Replay
  and Open Set Recognition
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCV
BDL
11
40
0
28 May 2019
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
243
11,659
0
09 Mar 2017
Previous
1234