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Class-incremental Learning via Deep Model Consolidation
v1v2v3v4 (latest)

Class-incremental Learning via Deep Model Consolidation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
19 March 2019
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
    CLL
ArXiv (abs)PDFHTML

Papers citing "Class-incremental Learning via Deep Model Consolidation"

50 / 188 papers shown
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
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelInternational Conference on Learning Representations (ICLR), 2023
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
313
17
0
26 Oct 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online PlacebosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLLOnRL
219
13
0
24 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLMCLL
201
2
0
16 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion ReplayIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Xiao He
Xian Wei
KELMCLL
134
4
0
12 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
227
25
0
10 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on
  Time-aware Regularization
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization
Zizhao Hu
Mohammad Rostami
CLLBDL
156
3
0
05 Oct 2023
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Chenyan Song
Xu Han
Zheni Zeng
Kuai Li
Chen Chen
Zhiyuan Liu
Maosong Sun
Taojiannan Yang
CLLKELM
245
12
0
26 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng
Shuhui Qu
Janghwan Lee
247
4
0
15 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
278
14
0
12 Sep 2023
MultIOD: Rehearsal-free Multihead Incremental Object Detector
MultIOD: Rehearsal-free Multihead Incremental Object Detector
Eden Belouadah
Arnaud Dapogny
Kévin Bailly
ObjDCLL
299
1
0
11 Sep 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
287
4
0
29 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Masked Autoencoders are Efficient Class Incremental LearnersIEEE International Conference on Computer Vision (ICCV), 2023
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
187
20
0
24 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong PretrainingIEEE International Conference on Computer Vision (ICCV), 2023
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLLVLM
277
44
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
385
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
Improving Performance in Continual Learning Tasks using Bio-Inspired
  Architectures
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Dali Wang
CLL
217
4
0
08 Aug 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual LearningIEEE International Conference on Computer Vision (ICCV), 2023
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming-Hsuan Yang
Laurent Itti
CLL
246
16
0
21 Jul 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial
  to Human Experts
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human ExpertsWirtschaftsinformatik (WI), 2023
Johannes Jakubik
Daniel Weber
Patrick Hemmer
Michael Vossing
G. Satzger
314
9
0
06 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and
  Replay
Class-Incremental Learning using Diffusion Model for Distillation and Replay
Quentin Jodelet
Xin Liu
Yin Jun Phua
T. Murata
DiffM
299
43
0
30 Jun 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning
  Framework Based on Enhanced Transformer
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced TransformerInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Chenghao Liu
Xiaoyang Qu
Jianzong Wang
Jing Xiao
CLLFedML
178
32
0
27 Jun 2023
Parameter-Level Soft-Masking for Continual Learning
Parameter-Level Soft-Masking for Continual LearningInternational Conference on Machine Learning (ICML), 2023
Tatsuya Konishi
M. Kurokawa
C. Ono
Zixuan Ke
Gyuhak Kim
Yinan Han
CLL
216
57
0
26 Jun 2023
Complementary Learning Subnetworks for Parameter-Efficient
  Class-Incremental Learning
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li
Zhigang Zeng
CLL
232
1
0
21 Jun 2023
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Deep Fusion: Efficient Network Training via Pre-trained InitializationsInternational Conference on Machine Learning (ICML), 2023
Hanna Mazzawi
X. Gonzalvo
Michael Wunder
Sammy Jerome
Benoit Dherin
AI4CE
511
3
0
20 Jun 2023
IF2Net: Innately Forgetting-Free Networks for Continual Learning
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li
Tianqi Wang
Bingrong Xu
Kenji Kawaguchi
Zhigang Zeng
Ponnuthurai Nagaratnam Suganthan
CLL
794
2
0
18 Jun 2023
Kalman Filter for Online Classification of Non-Stationary Data
Kalman Filter for Online Classification of Non-Stationary DataInternational Conference on Learning Representations (ICLR), 2023
Michalis K. Titsias
Alexandre Galashov
Amal Rannen-Triki
Razvan Pascanu
Yee Whye Teh
J. Bornschein
CLLBDL
282
12
0
14 Jun 2023
Teacher Agent: A Knowledge Distillation-Free Framework for
  Rehearsal-based Video Incremental Learning
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Shengqin Jiang
Yao-Huei Fang
Haokui Zhang
Qingshan Liu
Yuankai Qi
Yang Yang
Peifeng Wang
CLL
288
1
0
01 Jun 2023
Just a Glimpse: Rethinking Temporal Information for Video Continual
  Learning
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Lama Alssum
Juan Carlos León Alcázar
Merey Ramazanova
Chen Zhao
Guohao Li
CLL
250
12
0
28 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkComputer Vision and Pattern Recognition (CVPR), 2023
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMeCLL
170
3
0
25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
Sumedh Anand Sontakke
Laurent Itti
CLL
176
13
0
24 May 2023
Dealing with Cross-Task Class Discrimination in Online Continual
  Learning
Dealing with Cross-Task Class Discrimination in Online Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Yiduo Guo
Bing-Quan Liu
Dongyan Zhao
CLL
192
33
0
24 May 2023
Continual Learning with Strong Experience Replay
Continual Learning with Strong Experience Replay
Tao Zhuo
Zhiyong Cheng
Zan Gao
Hehe Fan
Mohan S. Kankanhalli
CLLVLM
195
7
0
23 May 2023
Domain Incremental Lifelong Learning in an Open World
Domain Incremental Lifelong Learning in an Open WorldAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yinpei Dai
Hao Lang
Yinhe Zheng
Yu Bowen
Fei Huang
Yongbin Li
CLL
195
5
0
11 May 2023
Futures Quantitative Investment with Heterogeneous Continual Graph
  Neural Network
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
Min Hu
Zhizhong Tan
Bin Liu
Guosheng Yin
AIFinAI4TS
168
0
0
29 Mar 2023
Projected Latent Distillation for Data-Agnostic Consolidation in
  Distributed Continual Learning
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual LearningNeurocomputing (Neurocomputing), 2023
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
Joost van de Weijer
FedML
215
6
0
28 Mar 2023
Adiabatic replay for continual learning
Adiabatic replay for continual learningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Alexander Krawczyk
A. Gepperth
203
4
0
23 Mar 2023
Assessor-Guided Learning for Continual Environments
Assessor-Guided Learning for Continual EnvironmentsInformation Sciences (Inf. Sci.), 2023
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Weiping Ding
W. Jatmiko
163
16
0
21 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
209
1
0
18 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
171
57
0
16 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision (IJCV), 2023
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
235
168
0
13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free DistillationIEEE International Conference on Computer Vision (ICCV), 2023
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLLFedML
315
92
0
13 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation
Robustness-preserving Lifelong Learning via Dataset CondensationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jinghan Jia
Yihua Zhang
Dogyoon Song
Sijia Liu
Alfred Hero
DD
147
5
0
07 Mar 2023
Continual Causal Inference with Incremental Observational Data
Continual Causal Inference with Incremental Observational DataIEEE International Conference on Data Engineering (ICDE), 2023
Zhixuan Chu
Ruopeng Li
S. Rathbun
Sheng Li
CML
170
20
0
03 Mar 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
387
4
0
01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
787
1,089
0
31 Jan 2023
Continual Learning for Predictive Maintenance: Overview and Challenges
Continual Learning for Predictive Maintenance: Overview and ChallengesIntelligent Systems with Applications (ISA), 2023
J. Hurtado
Dario Salvati
Rudy Semola
Mattia Bosio
Vincenzo Lomonaco
175
52
0
29 Jan 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
224
20
0
28 Jan 2023
Continual Causal Effect Estimation: Challenges and Opportunities
Continual Causal Effect Estimation: Challenges and Opportunities
Zhixuan Chu
Sheng Li
CML
255
0
0
03 Jan 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
263
8
0
16 Dec 2022
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Evidential Deep Learning for Class-Incremental Semantic SegmentationScandinavian Conference on Image Analysis (SCIA), 2022
Karl Holmquist
Lena Klasén
Michael Felsberg
EDLCLL
120
9
0
06 Dec 2022
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