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iCaRL: Incremental Classifier and Representation Learning
v1v2 (latest)

iCaRL: Incremental Classifier and Representation Learning

23 November 2016
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
    CLLOOD
ArXiv (abs)PDFHTML

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 1,610 papers shown
Title
A TinyML Platform for On-Device Continual Learning with Quantized Latent
  Replays
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia
Manuele Rusci
D. Nadalini
Alessandro Capotondi
Francesco Conti
Luca Benini
BDL
106
68
0
20 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration
  with Anytime Inference
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
65
69
0
19 Oct 2021
Tackling Dynamics in Federated Incremental Learning with Variational
  Embedding Rehearsal
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
Tae Jin Park
K. Kumatani
Dimitrios Dimitriadis
38
18
0
19 Oct 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via
  Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan
Bilal Hassan
M. Akram
Shahrukh K Hashmi
A. Taguri
Naoufel Werghi
OOD
81
17
0
18 Oct 2021
Online Continual Learning Via Candidates Voting
Online Continual Learning Via Candidates Voting
Jiangpeng He
Fengqing Zhu
CLL
78
19
0
17 Oct 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging
  Corpora
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin
Dejiao Zhang
Henghui Zhu
Wei Xiao
Shang-Wen Li
Xiaokai Wei
Andrew O. Arnold
Xiang Ren
KELMCLL
126
117
0
16 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMeCLL
92
50
0
15 Oct 2021
Graph Condensation for Graph Neural Networks
Graph Condensation for Graph Neural Networks
Wei Jin
Lingxiao Zhao
Shichang Zhang
Yozen Liu
Jiliang Tang
Neil Shah
DDAI4CE
154
162
0
14 Oct 2021
Carousel Memory: Rethinking the Design of Episodic Memory for Continual
  Learning
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
Soobee Lee
Minindu Weerakoon
Jonghyun Choi
Minjia Zhang
Di Wang
Myeongjae Jeon
50
2
0
14 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek
Ekin Akyürek
Derry Wijaya
Jacob Andreas
CLL
89
61
0
13 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLLSSL
145
117
0
13 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
94
8
0
11 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLLAAML
58
82
0
09 Oct 2021
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Mu Yang
Shaojin Ding
Tianlong Chen
Tong Wang
Zhangyang Wang
CLL
73
5
0
09 Oct 2021
Dataset Condensation with Distribution Matching
Dataset Condensation with Distribution Matching
Bo Zhao
Hakan Bilen
DD
82
310
0
08 Oct 2021
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
161
29
0
06 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma
Vinay Kumar Verma
Piyush Rai
BDLCLL
69
13
0
05 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
123
12
0
03 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
147
45
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLMCLL
136
78
0
23 Sep 2021
AirLoop: Lifelong Loop Closure Detection
AirLoop: Lifelong Loop Closure Detection
Dasong Gao
Chen Wang
Sebastian Scherer
65
16
0
18 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud
  Distributed AI Systems
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Yinghan Long
I. Chakraborty
G. Srinivasan
Kaushik Roy
61
15
0
14 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Zhuang Li
Gholamreza Haffari
CLL
88
15
0
11 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLMKELMCLL
136
23
0
10 Sep 2021
A distillation-based approach integrating continual learning and
  federated learning for pervasive services
A distillation-based approach integrating continual learning and federated learning for pervasive services
Anastasiia Usmanova
Franccois Portet
P. Lalanda
Germán Vega
FedML
79
57
0
09 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
72
19
0
03 Sep 2021
Memory-Free Generative Replay For Class-Incremental Learning
Memory-Free Generative Replay For Class-Incremental Learning
Xiaomeng Xin
Yiran Zhong
Yunzhong Hou
Jinjun Wang
Liang Zheng
79
8
0
01 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
80
18
0
01 Sep 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
67
32
0
28 Aug 2021
Representation Memorization for Fast Learning New Knowledge without
  Forgetting
Representation Memorization for Fast Learning New Knowledge without Forgetting
Fei Mi
Tao R. Lin
Boi Faltings
CLL
109
0
0
28 Aug 2021
Detection and Continual Learning of Novel Face Presentation Attacks
Detection and Continual Learning of Novel Face Presentation Attacks
Mohammad Rostami
L. Spinoulas
Mohamed E. Hussein
Joe Mathai
Wael AbdAlmageed
CLLAAML
73
34
0
27 Aug 2021
Wanderlust: Online Continual Object Detection in the Real World
Wanderlust: Online Continual Object Detection in the Real World
Jianren Wang
Xin Wang
Shang-Guan Yue
Abhinav Gupta
93
58
0
25 Aug 2021
Continual Learning for Image-Based Camera Localization
Continual Learning for Image-Based Camera Localization
Shuzhe Wang
Zakaria Laskar
Iaroslav Melekhov
Xiaotian Li
Arno Solin
CLL
65
28
0
20 Aug 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
65
87
0
20 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and
  Calibration without Forgetting
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva
Hilde Kuehne
Bernt Schiele
CLL
75
51
0
18 Aug 2021
Incremental cluster validity index-guided online learning for
  performance and robustness to presentation order
Incremental cluster validity index-guided online learning for performance and robustness to presentation order
Leonardo Enzo Brito da Silva
Nagasharath Rayapati
D. Wunsch
CLL
63
8
0
17 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining
Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding
Fuli Feng
Xiangnan He
Yong Liao
Jun Shi
Yongdong Zhang
CMLCLLBDLGNN
66
39
0
16 Aug 2021
Online Continual Learning For Visual Food Classification
Online Continual Learning For Visual Food Classification
Jiangpeng He
Fengqing Zhu
CLL
92
47
0
15 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
84
35
0
15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
75
41
0
14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
71
47
0
12 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLLObjD
121
9
0
12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual
  Learning
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
57
1
0
11 Aug 2021
Continual Learning for Grounded Instruction Generation by Observing
  Human Following Behavior
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
Noriyuki Kojima
Alane Suhr
Yoav Artzi
72
25
0
10 Aug 2021
Deep Metric Learning for Open World Semantic Segmentation
Deep Metric Learning for Open World Semantic Segmentation
Jun Cen
Peng Yun
Junhao Cai
M. Y. Wang
Ming-Yuan Liu
80
85
0
10 Aug 2021
Lifelong Intent Detection via Multi-Strategy Rebalancing
Lifelong Intent Detection via Multi-Strategy Rebalancing
Qingbin Liu
Xiaoyan Yu
Shizhu He
Kang Liu
Jun Zhao
CLLOffRL
47
16
0
10 Aug 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation
RECALL: Replay-based Continual Learning in Semantic Segmentation
Andrea Maracani
Umberto Michieli
Marco Toldo
Pietro Zanuttigh
VLMCLL
107
116
0
08 Aug 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
64
41
0
08 Aug 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for
  Compatible Feature Learning
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Yan Bai
J. Jiao
Shengsen Wu
Yihang Lou
Jun Liu
Xuetao Feng
Ling-yu Duan
79
7
0
06 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
105
21
0
02 Aug 2021
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