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1910.14481
Cited By
Continual Unsupervised Representation Learning
Neural Information Processing Systems (NeurIPS), 2019
31 October 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDL
CLL
SSL
DRL
Re-assign community
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Papers citing
"Continual Unsupervised Representation Learning"
50 / 166 papers shown
Title
Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations
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Adrian Bodenmann
Sam Fenton
Blair Thornton
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Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering
Nattapong Kurpukdee
Adrian G. Bors
96
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0
29 Aug 2025
Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay
Pujan Thapa
Alexander Ororbia
Travis J. Desell
DRL
CLL
176
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0
28 Aug 2025
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Thanh-Dat Truong
Pawan Sinha
Khoa Luu
CLL
104
0
0
25 Aug 2025
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Jianlong Wu
Sihao Liu
Chuan Rao
Bang An
Tiancheng Shen
Juil Sock
Ming-Hsuan Yang
Bernard Ghanem
180
4
0
16 Jun 2025
Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
Zhiyi Wan
Wanrou Du
Liang Li
Miao Pan
Xiaoqi Qin
CLL
134
0
0
28 May 2025
Information-Theoretic Complementary Prompts for Improved Continual Text Classification
Neural Networks (NN), 2025
Duzhen Zhang
Yong Ren
Chenxing Li
Dong Yu
Tielin Zhang
CLL
VLM
220
0
0
27 May 2025
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Lisa Coiffard
Paul Templier
Antoine Cully
OffRL
325
1
0
02 Apr 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Computer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
288
5
0
17 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRL
CLL
VLM
436
2
0
06 Mar 2025
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
Nicolas Michel
Maorong Wang
Jiangpeng He
Toshihiko Yamasaki
CLL
184
0
0
26 Feb 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
922
0
0
21 Jan 2025
COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Arabinda Kumar Choudhary
Arabinda Kumar Choudhary
Pawan Sinha
Xin Li
Khoa Luu
CLL
320
3
0
25 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Xiwen Wei
Guihong Li
R. Marculescu
189
12
0
08 Nov 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Neural Information Processing Systems (NeurIPS), 2024
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
408
15
0
30 Oct 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
268
1
0
24 Sep 2024
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
181
0
0
25 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Neural Information Processing Systems (NeurIPS), 2024
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Yue Yu
Liqiang Nie
Guohao Li
311
24
0
07 Jun 2024
Open Problem: Active Representation Learning
Nikola Milosevic
Gesine Müller
Jan Huisken
Nico Scherf
167
1
0
06 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
M. A. Ma'sum
Mahardhika Pratama
Ramasamy Savitha
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
234
3
0
04 Jun 2024
Forward-Backward Knowledge Distillation for Continual Clustering
M. Sadeghi
Zihan Wang
Narges Armanfard
CLL
169
2
0
29 May 2024
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
171
6
0
29 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
281
2
0
27 Mar 2024
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
Shu Zhao
Xiaohan Zou
Tan Yu
Huijuan Xu
211
2
0
17 Mar 2024
Continual Learning by Three-Phase Consolidation
Davide Maltoni
Lorenzo Pellegrini
CLL
195
0
0
12 Mar 2024
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven
Nicholas Soures
Dhireesha Kudithipudi
222
88
0
08 Mar 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
241
41
0
18 Jan 2024
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiński
Jan Rybarczyk
Tomasz Trzciñski
CLL
DRL
133
0
0
21 Dec 2023
CUCL: Codebook for Unsupervised Continual Learning
ACM Multimedia (ACM MM), 2023
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Sitong Su
Lianli Gao
Jikang Cheng
CLL
130
4
0
25 Nov 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLM
CLL
242
16
0
25 Oct 2023
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Neural Information Processing Systems (NeurIPS), 2023
Naitik Khandelwal
Xiao Liu
Mengmi Zhang
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229
1
0
02 Oct 2023
Introducing Language Guidance in Prompt-based Continual Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
153
58
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30 Aug 2023
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
354
130
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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
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Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
209
79
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16 Jul 2023
Continual Learners are Incremental Model Generalizers
International Conference on Machine Learning (ICML), 2023
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
171
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0
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Masked Autoencoders are Efficient Continual Federated Learners
Subarnaduti Paul
Lars-Joel Frey
Roshni Kamath
Kristian Kersting
Martin Mundt
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FedML
198
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Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Thomas L. Lee
Amos Storkey
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217
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Meta-Learning Online Adaptation of Language Models
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E. Mitchell
Christopher D. Manning
Chelsea Finn
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238
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Label-Efficient Learning in Agriculture: A Comprehensive Review
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Dong Chen
Xinda Qi
Zhao Li
Yanbo Huang
Daniel Morris
Xiaobo Tan
177
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TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
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Polydoros Giannouris
Jiadong Wang
Xiang Li
Ming Gao
224
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Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
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Xiangtong Yao
Shuai Wang
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Kai Huang
Alois C. Knoll
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Ishita Dasgupta
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Eric Schulz
244
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Eli Verwimp
Gido M. van de Ven
Tinne Tuytelaars
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300
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Kamil Deja
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Jakub M. Tomczak
Tomasz Trzciñski
Florian Shkurti
Piotr Milo's
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Yang Deng
Wynne Hsu
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98
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Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing
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Sen Lin
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217
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Yunbo Wang
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Hongning Wang
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Xingxing Zhang
Hang Su
Jun Zhu
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701
1,022
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31 Jan 2023
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