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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
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental
  Learning with Pre-trained Vision Transformers
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
Dipam Goswami
Bartlomiej Twardowski
Joost van de Weijer
248
12
0
09 Apr 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DDFedML
332
22
0
02 Apr 2024
Slightly Shift New Classes to Remember Old Classes for Video
  Class-Incremental Learning
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
Jian Jiao
Yu Dai
Hefei Mei
Heqian Qiu
Chuanyang Gong
Shiyuan Tang
Xinpeng Hao
Hongliang Li
CLLVLM
149
1
0
01 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
341
2
0
27 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
Run He
Huiping Zhuang
Di Fang
Yizhu Chen
Kai Tong
Cen Chen
Lap-Pui Chau
Huiping Zhuang
419
2
0
20 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and
  Vocabulary Learning
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yukun Li
Guansong Pang
Wei Suo
Chenchen Jing
Yuling Xi
Lingqiao Liu
Hao Chen
Guoqiang Liang
Peng Wang
CLLVLM
191
11
0
15 Mar 2024
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar
  Class-Incremental Learning
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Xing Wei
Yihong Gong
CLL
251
8
0
11 Mar 2024
A novel spatial-frequency domain network for zero-shot incremental
  learning
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren
Yang Zhao
Weichuan Zhang
Changming Sun
CLL
144
1
0
11 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic
  Surgery
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
Mengya Xu
Mobarakol Islam
Long Bai
Hongliang Ren
161
13
0
08 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
292
2
0
05 Feb 2024
Face to Cartoon Incremental Super-Resolution using Knowledge
  Distillation
Face to Cartoon Incremental Super-Resolution using Knowledge DistillationInternational Conference on Pattern Recognition (ICPR), 2024
Trinetra Devkatte
S. Dubey
Satish Kumar Singh
Abdenour Hadid
CLLCVBMSupR
216
0
0
27 Jan 2024
Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for
  Fine-grained Vehicle Recognition
Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition
Dichao Liu
200
4
0
25 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
248
2
0
02 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
396
19
0
28 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
264
50
0
16 Dec 2023
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
424
8
0
13 Dec 2023
MIND: Multi-Task Incremental Network Distillation
MIND: Multi-Task Incremental Network DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023
Jacopo Bonato
Francesco Pelosin
Luigi Sabetta
Alessandro Nicolosi
CLL
306
14
0
05 Dec 2023
Continual Learning with Low Rank Adaptation
Continual Learning with Low Rank Adaptation
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
CLL
177
24
0
29 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
256
11
0
08 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target DataNeural Information Processing Systems (NeurIPS), 2023
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
216
7
0
02 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bo Yuan
Danpei Zhao
3DVCLL
338
34
0
22 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2023
Haizhou Shi
Hao Wang
CLL
289
38
0
18 Oct 2023
MAC: ModAlity Calibration for Object Detection
MAC: ModAlity Calibration for Object Detection
Yutian Lei
Jun Liu
Dong Huang
ObjD
234
2
0
14 Oct 2023
Incremental Object Detection with CLIP
Incremental Object Detection with CLIP
Ziyue Huang
Yupeng He
Qingjie Liu
Yunhong Wang
CLLObjDVLM
287
2
0
13 Oct 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual LearningNeural Networks (Neural Netw.), 2023
Kamil Ksiazek
Przemysław Spurek
CLL
535
7
0
29 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
434
0
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningNeural Information Processing Systems (NeurIPS), 2023
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
380
88
0
25 Sep 2023
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly
  Supervised Object Localization
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object LocalizationACM Multimedia (ACM MM), 2023
Sejin Park
Taehyung Lee
Yeejin Lee
Byeongkeun Kang
WSOLCLL
279
6
0
17 Sep 2023
Continual Learning with Dirichlet Generative-based Rehearsal
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLLBDL
177
8
0
13 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSLCLL
276
14
0
12 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual LearningACM Multimedia (ACM MM), 2023
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
205
6
0
08 Sep 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
282
5
0
31 Aug 2023
Rotation Augmented Distillation for Exemplar-Free Class Incremental
  Learning with Detailed Analysis
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed AnalysisChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Xiu-yan Chen
Xiaobin Chang
CLL
216
0
0
29 Aug 2023
OEBench: Investigating Open Environment Challenges in Real-World
  Relational Data Streams
OEBench: Investigating Open Environment Challenges in Real-World Relational Data StreamsProceedings of the VLDB Endowment (PVLDB), 2023
Yiqun Diao
Yutong Yang
Yue Liu
Bin He
Mian Lu
281
4
0
29 Aug 2023
Dynamic Residual Classifier for Class Incremental Learning
Dynamic Residual Classifier for Class Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Xiu-yan Chen
Xiaobin Chang
188
26
0
25 Aug 2023
Audio-Visual Class-Incremental Learning
Audio-Visual Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Weiguo Pian
Shentong Mo
Yunhui Guo
Yapeng Tian
CLLVLM
220
34
0
21 Aug 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
383
22
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 LearningIEEE International Conference on Computer Vision (ICCV), 2023
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
199
15
0
18 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype LearningPattern Recognition (Pattern Recogn.), 2023
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSLCLL
267
28
0
04 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in RoboticsIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Ali Ayub
Alan R. Wagner
CLL
231
5
0
31 Jul 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual LearningNeural Networks (Neural Netw.), 2023
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
224
17
0
31 Jul 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object
  Detection
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Liu Yuyang
Cong Yang
Dipam Goswami
Liu Xialei
Joost van de Weijer
CLL
264
43
0
23 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
254
85
0
16 Jul 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLLBDL
161
1
0
09 Jul 2023
Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning
Christopher McClurg
Ali Ayub
Harsh Tyagi
Sarah M. Rajtmajer
Alan R. Wagner
CLL
203
2
0
05 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
Fengqing Zhu
Fengqing M Zhu
476
19
0
01 Jul 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual LearningInternational Conference on Machine Learning (ICML), 2023
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Yinan Han
CLL
275
35
0
22 Jun 2023
Heterogeneous Continual Learning
Heterogeneous Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
238
7
0
14 Jun 2023
Continual Learning with Pretrained Backbones by Tuning in the Input
  Space
Continual Learning with Pretrained Backbones by Tuning in the Input SpaceIEEE International Joint Conference on Neural Network (IJCNN), 2023
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
Tinne Tuytelaars
CLL
245
2
0
05 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
276
0
0
03 Jun 2023
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