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iCaRL: Incremental Classifier and Representation Learning

iCaRL: Incremental Classifier and Representation Learning

23 November 2016
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
    CLL
    OOD
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Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 706 papers shown
Title
Concept-skill Transferability-based Data Selection for Large
  Vision-Language Models
Concept-skill Transferability-based Data Selection for Large Vision-Language Models
Jaewoo Lee
Boyang Li
Sung Ju Hwang
VLM
43
8
0
16 Jun 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
79
0
0
13 Jun 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
39
1
0
07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
0
07 Jun 2024
Decision Boundary-aware Knowledge Consolidation Generates Better
  Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
Qiang Nie
Weifu Fu
Yuhuan Lin
Jialin Li
Yifeng Zhou
Yong Liu
Lei Zhu
Chengjie Wang
38
0
0
05 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
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang
Xuelin Qian
Bin Li
Xiangyang Xue
28
1
0
30 May 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Xuelin Qian
Ruiqi Wu
Gong Cheng
Junwei Han
CLL
52
2
0
29 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
48
0
0
25 May 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
43
1
0
22 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
28
0
0
20 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
48
1
0
20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
43
2
0
16 May 2024
Towards An Online Incremental Approach to Predict Students Performance
Towards An Online Incremental Approach to Predict Students Performance
Chahrazed Labba
Anne Boyer
CLL
34
0
0
03 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
ATOM: Attention Mixer for Efficient Dataset Distillation
Samir Khaki
A. Sajedi
Kai Wang
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
50
3
0
02 May 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
44
3
0
23 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors
  to New Generators Using Limited Data
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
Aref Azizpour
Tai D. Nguyen
Manil Shrestha
Kaidi Xu
Edward Kim
Matthew C. Stamm
37
4
0
12 Apr 2024
Calibration of Continual Learning Models
Calibration of Continual Learning Models
Lanpei Li
Elia Piccoli
Andrea Cossu
Davide Bacciu
Vincenzo Lomonaco
CLL
45
2
0
11 Apr 2024
Realistic Continual Learning Approach using Pre-trained Models
Realistic Continual Learning Approach using Pre-trained Models
Nadia Nasri
Carlos Gutiérrez-Álvarez
Sergio Lafuente-Arroyo
Saturnino Maldonado-Bascón
Roberto J. López-Sastre
CLL
43
0
0
11 Apr 2024
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Mohamed Abbas Konaté
A. Yao
T. Chateau
P. Bouges
CLL
24
0
0
10 Apr 2024
Hyperparameter Selection in Continual Learning
Hyperparameter Selection in Continual Learning
Thomas L. Lee
Sigrid Passano Hellan
Linus Ericsson
Elliot J. Crowley
Amos Storkey
CLL
68
0
0
09 Apr 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
49
2
0
04 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
48
9
0
27 Mar 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLL
VLM
45
0
0
25 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
49
0
0
22 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
42
2
0
19 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
YunLong Yu
CLL
42
3
0
19 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
41
0
0
18 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
2
0
14 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
45
0
0
13 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjD
VLM
37
12
0
08 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
35
9
0
06 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark J. Coates
CLL
48
1
0
06 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
39
2
0
28 Feb 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
43
20
0
27 Feb 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation
  Extractors
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Shengkun Ma
Jiale Han
Yi Liang
Bo Cheng
CLL
VLM
35
6
0
24 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
Alberto Marchisio
Maurizio Martina
Guido Masera
Muhammad Shafique
43
0
0
15 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
49
5
0
09 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
33
5
0
08 Feb 2024
Bias Mitigating Few-Shot Class-Incremental Learning
Bias Mitigating Few-Shot Class-Incremental Learning
Li-Jun Zhao
Zhen-Duo Chen
Ziya Zhang
Xin Luo
Xin-Shun Xu
CLL
48
1
0
01 Feb 2024
Face to Cartoon Incremental Super-Resolution using Knowledge
  Distillation
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte
S. Dubey
Satish Kumar Singh
Abdenour Hadid
CLL
CVBM
SupR
45
0
0
27 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
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
29
28
0
18 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
47
3
0
12 Jan 2024
EsaCL: Efficient Continual Learning of Sparse Models
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren
V. Honavar
CLL
33
3
0
11 Jan 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
27
1
0
27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
36
31
0
27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan
Yu Wang
Pengfei Zhu
Qinghua Hu
CLL
71
4
0
27 Dec 2023
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