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Learning without Memorizing
v1v2 (latest)

Learning without Memorizing

Computer Vision and Pattern Recognition (CVPR), 2018
20 November 2018
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
    CLL
ArXiv (abs)PDFHTML

Papers citing "Learning without Memorizing"

50 / 263 papers shown
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Aupendu Kar
Krishnendu Ghosh
P. Biswas
CLLSupR
328
0
0
07 Nov 2025
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Jiaxin Dai
Xiang Xiang
111
0
0
23 Sep 2025
RL's Razor: Why Online Reinforcement Learning Forgets Less
RL's Razor: Why Online Reinforcement Learning Forgets Less
Idan Shenfeld
Jyothish Pari
Pulkit Agrawal
CLL
192
43
0
04 Sep 2025
Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning
Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning
Stanisław Pawlak
Bartłomiej Twardowski
Tomasz Trzciñski
Joost van de Weijer
AAMLCLL
171
0
0
05 Jul 2025
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Zechao Sun
Shuying Piao
Weitong Chen
Chang George Dong
Lin Yue
Weitong Chen
Luping Zhou
CLL
326
1
0
01 Jul 2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu
Yuwei Wu
Zhi Gao
Xiaomeng Fan
Shuo Yang
Yunde Jia
220
1
0
10 Jun 2025
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
Hongsong Wang
Ao Sun
Jie Gui
Liang Wang
169
0
0
26 May 2025
Exemplar-Free Continual Learning for State Space Models
Exemplar-Free Continual Learning for State Space Models
Isaac Ning Lee
Leila Mahmoodi
Trung Le
Mehrtash Harandi
CLL
257
0
0
24 May 2025
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Congren Dai
Weihang Deng
Jiahao Huang
Zhenxuan Zhang
Fanwen Wang
Guang Yang
Fei Ye
Fei Ye
416
0
0
23 May 2025
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental LearningKnowledge-Based Systems (KBS), 2025
Linjie Li
Zhenyu Wu
Yang Ji
MoECLL
186
1
0
21 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il-Min Kim
Guanghui Wang
CLL
458
0
0
09 May 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen
Runmin Cong
Yuzhi Zhao
Hongzheng Yang
Guangneng Hu
H. Ip
Sam Kwong
CLLKELM
347
7
0
05 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
415
4
0
01 May 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
306
4
0
28 Apr 2025
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
350
6
0
18 Apr 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2025
Hongmei Yin
Tingliang Feng
Fan Lyu
Fanhua Shang
Hongying Liu
Wei Feng
Liang Wan
CLLVLM
287
2
0
28 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLLBDL
326
0
0
26 Mar 2025
Do Your Best and Get Enough Rest for Continual Learning
Do Your Best and Get Enough Rest for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2025
Hankyul Kang
Gregor Seifer
Donghyun Lee
Jongbin Ryu
VLM
196
2
0
24 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
308
2
0
09 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
357
2
0
01 Mar 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Yongbin Li
Marcello Bonsangue
Tianrui Li
CLLVLM
376
2
0
27 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source DataComputer Vision and Pattern Recognition (CVPR), 2020
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
748
558
0
26 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
468
3
0
25 Feb 2025
Achieving Deep Continual Learning via Evolution
Achieving Deep Continual Learning via Evolution
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Jiancheng Lv
Yanan Sun
CLL
351
1
0
10 Feb 2025
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Relation-Guided Adversarial Learning for Data-free Knowledge TransferInternational Journal of Computer Vision (IJCV), 2024
Yingping Liang
Ying Fu
310
3
0
16 Dec 2024
CIT: Rethinking Class-incremental Semantic Segmentation with a Class
  Independent Transformation
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
Jinchao Ge
Bowen Zhang
Akide Liu
Minh Hieu Phan
Qi Chen
Yangyang Shu
Yang Zhao
VLMCLL
228
0
0
05 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental
  Learning: A Mathematical Framework for Discriminative and Generative
  Modelings
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative ModelingsNeural Information Processing Systems (NeurIPS), 2024
Milad Khademi Nori
Il-Min Kim
CLL
240
4
0
28 Oct 2024
OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
Dongjun Hwang
Yejin Kim
Junsuk Choe
Seong Joon Oh
Junsuk Choe
VLM
719
0
0
15 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage
  Learning Strategy
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLLMoMe
168
3
0
14 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model ConstructionInternational Conference on Learning Representations (ICLR), 2024
Hossein Resani
B. Nasihatkon
3DV
871
2
0
08 Oct 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual LearningNeural Information Processing Systems (NeurIPS), 2024
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
345
6
0
28 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar SelectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
298
3
0
12 Sep 2024
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
Zhenhuan Liu
Shuai Liu
Zhiwei Ning
Jie Yang
Wei Liu
3DV3DGS
287
2
0
08 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
284
1
0
02 Sep 2024
A Unified Framework for Continual Learning and Machine Unlearning
A Unified Framework for Continual Learning and Machine Unlearning
Romit Chatterjee
Vikram S Chundawat
Ayush K Tarun
Ankur Mali
Murari Mandal
CLLMU
266
1
0
21 Aug 2024
Boosting Open-Domain Continual Learning via Leveraging Intra-domain
  Category-aware Prototype
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu
Shitian Zhao
Boxiang Yun
Dongsheng Jiang
Yin Li
Qingli Li
Yan Wang
VLMCLL
126
2
0
19 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual
  Learning with Pre-training
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling Chen
Yunchao Wei
VLMCLL
210
9
0
15 Aug 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental
  Learning
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental LearningBritish Machine Vision Conference (BMVC), 2024
Jayateja Kalla
Soma Biswas
SSL
192
1
0
08 Aug 2024
Distribution-Level Memory Recall for Continual Learning: Preserving
  Knowledge and Avoiding Confusion
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding ConfusionIEEE transactions on multimedia (IEEE TMM), 2024
Shaoxu Cheng
Kanglei Geng
Chiyuan He
Zihuan Qiu
Linfeng Xu
Heqian Qiu
Lanxiao Wang
Qingbo Wu
Fanman Meng
Hongliang Li
CLL
216
1
0
04 Aug 2024
Towards Robust Few-shot Class Incremental Learning in Audio
  Classification using Contrastive Representation
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive RepresentationInterspeech (Interspeech), 2024
Riyansha Singh
Parinita Nema
V. Kurmi
CLL
370
2
0
27 Jul 2024
Advancing Continual Learning for Robust Deepfake Audio Classification
Advancing Continual Learning for Robust Deepfake Audio Classification
Feiyi Dong
Qingchen Tang
Yichen Bai
Zihan Wang
170
4
0
14 Jul 2024
Towards stable training of parallel continual learning
Towards stable training of parallel continual learning
Li Yuepan
Fan Lyu
Yuyang Li
Wei Feng
Guangcan Liu
Fanhua Shang
214
0
0
11 Jul 2024
Enhancing Continual Learning in Visual Question Answering with
  Modality-Aware Feature Distillation
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation
Malvina Nikandrou
Georgios Pantazopoulos
Ioannis Konstas
Alessandro Suglia
280
4
0
27 Jun 2024
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
Peiyan Zhang
Yuchen Yan
Xi Zhang
Liying Kang
Chaozhuo Li
Feiran Huang
Senzhang Wang
Sunghun Kim
277
19
0
12 Jun 2024
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced
  Data
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Sohaib Younis
Bernhard Seeger
221
0
0
07 Jun 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual
  Learning
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami
Albin Soutif--Cormerais
Yuyang Liu
Sandesh Kamath
Bartlomiej Twardowski
Joost van de Weijer
AAML
302
31
0
29 May 2024
Adaptive Retention & Correction: Test-Time Training for Continual Learning
Adaptive Retention & Correction: Test-Time Training for Continual Learning
Haoran Chen
Micah Goldblum
Zuxuan Wu
Yu-Gang Jiang
CLLKELM
233
0
0
23 May 2024
Overcoming Domain Drift in Online Continual Learning
Overcoming Domain Drift in Online Continual Learning
Fan Lyu
Daofeng Liu
Linglan Zhao
Zhang Zhang
Fanhua Shang
Fuyuan Hu
Wei Feng
Liang Wang
CLL
247
2
0
15 May 2024
Feature Expansion and enhanced Compression for Class Incremental
  Learning
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand
G. Chenadec
Benoit Clement
Panagiotis Papadakis
Quentin Oliveau
CLL
248
3
0
13 May 2024
Fast Evaluation of DNN for Past Dataset in Incremental Learning
Fast Evaluation of DNN for Past Dataset in Incremental Learning
Naoto Sato
127
0
0
10 May 2024
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