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A Closer Look at Rehearsal-Free Continual Learning

A Closer Look at Rehearsal-Free Continual Learning

31 March 2022
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
    VLM
    CLL
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Papers citing "A Closer Look at Rehearsal-Free Continual Learning"

38 / 38 papers shown
Title
Scalable Strategies for Continual Learning with Replay
Scalable Strategies for Continual Learning with Replay
Truman Hickok
CLL
2
0
0
18 May 2025
How can Diffusion Models Evolve into Continual Generators?
How can Diffusion Models Evolve into Continual Generators?
Jingren Liu
Zhong Ji
Xiangyu Chen
DiffM
2
0
0
17 May 2025
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
69
0
0
11 Mar 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen
Ping Wang
Zihan Zhou
Xinming Zhang
Zuxuan Wu
Yu Jiang
CLL
60
0
0
11 Mar 2025
Minion Gated Recurrent Unit for Continual Learning
Abdullah M. Zyarah
Dhireesha Kudithipudi
47
0
0
08 Mar 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLL
KELM
43
0
0
16 Feb 2025
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
40
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
40
11
0
19 Jul 2024
Embracing Massive Medical Data
Embracing Massive Medical Data
Yu-Cheng Chou
Zongwei Zhou
Alan Yuille
CLL
OOD
29
4
0
05 Jul 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
37
1
0
07 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
40
1
0
05 Jun 2024
Continual Learning for Robust Gate Detection under Dynamic Lighting in
  Autonomous Drone Racing
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
Zhongzheng Qiao
Xuan Huy Pham
Savitha Ramasamy
Xudong Jiang
Erdal Kayacan
Andriy Sarabakha
24
1
0
02 May 2024
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Truman Hickok
Dhireesha Kudithipudi
37
1
0
16 Apr 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning
  Under Distribution Shift
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift
Josh Bhagat Smith
Julie A. Adams
24
0
0
20 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
37
7
0
16 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
39
10
0
13 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in
  Continual Learning
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
DiffM
83
3
0
12 Mar 2024
One-stage Prompt-based Continual Learning
One-stage Prompt-based Continual Learning
Youngeun Kim
Yuhang Li
Priyadarshini Panda
VLM
CLL
43
4
0
25 Feb 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang-Cuong Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
45
10
0
19 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
25
11
0
06 Feb 2024
Class-Incremental Learning for Multi-Label Audio Classification
Class-Incremental Learning for Multi-Label Audio Classification
Manjunath Mulimani
A. Mesaros
CLL
12
11
0
09 Jan 2024
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query
  Orthogonal Projection and Prototype-based One-Versus-All
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
37
6
0
26 Nov 2023
Revisiting Supervision for Continual Representation Learning
Revisiting Supervision for Continual Representation Learning
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
SSL
CLL
32
0
0
22 Nov 2023
Fast Trainable Projection for Robust Fine-Tuning
Fast Trainable Projection for Robust Fine-Tuning
Junjiao Tian
Yen-Cheng Liu
James Seale Smith
Z. Kira
OOD
38
11
0
29 Oct 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
29
0
0
24 Oct 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free
  Continual Learning
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
Filip Szatkowski
Mateusz Pyla
Marcin Przewiȩźlikowski
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
CLL
35
10
0
18 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector
  Quantization for Continual Learning
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
32
12
0
18 Aug 2023
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual
  Learning
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning
Gaurav R. Bagwe
Xiaoyong Yuan
Miao Pan
Lan Zhang
VLM
FedML
CLL
31
10
0
10 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
CLL
29
95
0
05 Jul 2023
Continual Learning in Linear Classification on Separable Data
Continual Learning in Linear Classification on Separable Data
Itay Evron
E. Moroshko
G. Buzaglo
M. Khriesh
B. Marjieh
Nathan Srebro
Daniel Soudry
CLL
34
14
0
06 Jun 2023
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
37
260
0
23 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
44
20
0
17 Nov 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
23
124
0
27 Jul 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLL
SSL
67
19
0
15 May 2022
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
199
0
21 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,217
0
01 Sep 2014
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