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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 / 1,603 papers shown
Title
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
93
79
0
25 Nov 2022
Overcoming Catastrophic Forgetting by XAI
Overcoming Catastrophic Forgetting by XAI
Giang Nguyen
104
0
0
25 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
81
123
0
23 Nov 2022
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLLKELMAI4CE
46
5
0
23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
133
1
0
21 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
111
143
0
19 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLMLRM
85
7
0
19 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
146
23
0
17 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDLCLL
89
9
0
14 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
89
33
0
14 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Zhiyuan Fang
Jianbo Jiao
Yunchao Wei
CLL
67
31
0
13 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
55
2
0
09 Nov 2022
$BT^2$: Backward-compatible Training with Basis Transformation
BT2BT^2BT2: Backward-compatible Training with Basis Transformation
Yi Zhou
Zilu Li
Abhinav Shrivastava
Hengshuang Zhao
Antonio Torralba
Taipeng Tian
Ser-Nam Lim
56
4
0
08 Nov 2022
Private Set Generation with Discriminative Information
Private Set Generation with Discriminative Information
Dingfan Chen
Raouf Kerkouche
Mario Fritz
DD
80
39
0
07 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Yue Liu
Dusit Niyato
107
44
0
07 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
86
78
0
04 Nov 2022
Dataset Distillation via Factorization
Dataset Distillation via Factorization
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
217
148
0
30 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-Xiong Wang
CLL
85
28
0
27 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation
Efficient Dataset Distillation Using Random Feature Approximation
Noel Loo
Ramin Hasani
Alexander Amini
Daniela Rus
DD
131
101
0
21 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning
Exclusive Supermask Subnetwork Training for Continual Learning
Prateek Yadav
Joey Tianyi Zhou
CLL
91
6
0
18 Oct 2022
Entropy Regularized Reinforcement Learning with Cascading Networks
Entropy Regularized Reinforcement Learning with Cascading Networks
R. D. Vecchia
Alena Shilova
Philippe Preux
R. Akrour
32
2
0
16 Oct 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLLVLM
92
7
0
13 Oct 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental
  Semantic Segmentation
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh
Donghyeon Baek
Bumsub Ham
CLL
49
27
0
13 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
130
29
0
12 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
72
48
0
12 Oct 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic
  Segmentation
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Donghyeon Baek
Youngmin Oh
Sanghoon Lee
Junghyup Lee
Bumsub Ham
CLLVLM
48
29
0
12 Oct 2022
Continual Training of Language Models for Few-Shot Learning
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke
Haowei Lin
Yijia Shao
Hu Xu
Lei Shu
Bin Liu
KELMBDLCLL
136
36
0
11 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of
  Distribution Data
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OODAAML
88
18
0
11 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
83
13
0
11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
Feng Yu
ObjD
88
1
0
10 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-Xiong Wang
Deva Ramanan
Shu Kong
CLL
81
9
0
10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
95
9
0
10 Oct 2022
A Memory Transformer Network for Incremental Learning
A Memory Transformer Network for Incremental Learning
Ahmet Iscen
Thomas Bird
Mathilde Caron
Alireza Fathi
Cordelia Schmid
CLL
162
14
0
10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in
  Continual Learning
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
Paul Janson
Wenxuan Zhang
Rahaf Aljundi
Mohamed Elhoseiny
VLMSSLCLL
78
52
0
10 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
78
31
0
09 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
173
51
0
06 Oct 2022
Multi-stream Fusion for Class Incremental Learning in Pill Image
  Classification
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification
Trong T. Nguyen
Hieu H. Pham
Phi Le Nguyen
T. Nguyen
Minh N. Do
CLL
39
4
0
05 Oct 2022
Distance Based Image Classification: A solution to generative
  classification's conundrum?
Distance Based Image Classification: A solution to generative classification's conundrum?
Wen-Yan Lin
Siying Liu
B. Dai
Hongdong Li
VLM
57
2
0
04 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
94
35
0
29 Sep 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLLMoMe
109
2
0
29 Sep 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DDFedML
76
30
0
29 Sep 2022
RECALL: Rehearsal-free Continual Learning for Object Classification
RECALL: Rehearsal-free Continual Learning for Object Classification
Markus Wendelin Knauer
Maximilian Denninger
Rudolph Triebel
VLM
78
1
0
29 Sep 2022
Exploring Example Influence in Continual Learning
Exploring Example Influence in Continual Learning
Q. Sun
Fan Lyu
Fanhua Shang
Wei Feng
Liang Wan
CLL
126
49
0
25 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
64
13
0
20 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
124
63
0
20 Sep 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic
  Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb
Jürgen Beyerer
CLL
71
8
0
16 Sep 2022
Exploring Domain Incremental Video Highlights Detection with the
  LiveFood Benchmark
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Sen Pei
Shixiong Xu
Xiaojie Jin
38
0
0
12 Sep 2022
Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han
Jian Liu
KELMCLL
98
10
0
12 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point
  Clouds
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
118
5
0
11 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han
Jian Liu
CLL
52
0
0
09 Sep 2022
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