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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 / 1,600 papers shown
Title
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
87
12
0
31 Oct 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental
  Learning
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning
Fuyuan Hu
Jian Zhang
Fan Lyu
Linyan Li
Fenglei Xu
CLL
84
3
0
31 Oct 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class
  Incremental Learning
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning
Anton Lee
Yaqian Zhang
Heitor Murilo Gomes
Albert Bifet
Bernhard Pfahringer
CLL
69
2
0
30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha
Dong Gong
He Zhao
Lina Yao
CLLBDL
73
17
0
30 Oct 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 Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
119
13
0
26 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
80
5
0
26 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLMCLL
98
13
0
25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLMCLIP
121
31
0
24 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 Placebos
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLLOnRL
96
7
0
24 Oct 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
92
0
0
24 Oct 2023
Continual Event Extraction with Semantic Confusion Rectification
Continual Event Extraction with Semantic Confusion Rectification
Zitao Wang
Xin-Yue Wang
Wei Hu
CLL
70
4
0
24 Oct 2023
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial
  Understanding
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Mehrdad Farajtabar
Sachin Mehta
Mohammad Rastegari
Oncel Tuzel
Hadi Pouransari
VLM
128
72
0
23 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good
Jimit Majmudar
Christophe Dupuy
Jixuan Wang
Charith Peris
Clement Chung
Richard Zemel
Rahul Gupta
106
3
0
23 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
66
12
0
23 Oct 2023
CITB: A Benchmark for Continual Instruction Tuning
CITB: A Benchmark for Continual Instruction Tuning
Zihan Zhang
Meng Fang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
ALMCLL
95
26
0
23 Oct 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DVCLL
105
12
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 Algorithm
Haizhou Shi
Hao Wang
CLL
105
26
0
18 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
104
3
0
17 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
74
2
0
16 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and
  Open-world Intent Recognition
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Xiaoshuai Song
Yutao Mou
Keqing He
Yueyan Qiu
Pei Wang
Weiran Xu
79
2
0
16 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CEOODFedML
106
4
0
16 Oct 2023
Lifelong Sequence Generation with Dynamic Module Expansion and
  Adaptation
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
Chengwei Qin
Junwon Lee
Shafiq Joty
CLL
104
14
0
15 Oct 2023
Diversifying the Mixture-of-Experts Representation for Language Models
  with Orthogonal Optimizer
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu
Liang Ding
Li Shen
Keqin Peng
Yu Cao
Dazhao Cheng
Dacheng Tao
MoE
82
9
0
15 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed
  Tasks
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke
Bing Liu
Wenhan Xiong
Asli Celikyilmaz
Haoran Li
CLL
75
7
0
13 Oct 2023
Incremental Object Detection with CLIP
Incremental Object Detection with CLIP
Ziyue Huang
Yupeng He
Qingjie Liu
Yunhong Wang
CLLObjDVLM
68
2
0
13 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
104
9
0
13 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLLFedML
84
3
0
13 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation
PolyTask: Learning Unified Policies through Behavior Distillation
Siddhant Haldar
Lerrel Pinto
75
9
0
12 Oct 2023
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for
  Traffic Flow Prediction
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
Xiao Xu
Lei Zhang
Bailong Liu
Zhi Liang
Xuefei Zhang
AI4TS
66
1
0
12 Oct 2023
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal
  Localized Alignment
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
Jaewoo Lee
Jaehong Yoon
Wonjae Kim
Yunji Kim
Sung Ju Hwang
CLL
88
1
0
12 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELMCLL
31
4
0
12 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset
  Condensation
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
Haizhong Zheng
Jiachen Sun
Shutong Wu
B. Kailkhura
Zhuoqing Mao
Chaowei Xiao
Atul Prakash
DD
65
2
0
11 Oct 2023
Hierarchical Decomposition of Prompt-Based Continual Learning:
  Rethinking Obscured Sub-optimality
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Mingyi Huang
Hang Su
Jun Zhu
CLL
97
93
0
11 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
74
22
0
10 Oct 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text
  Classification from An Information Theoretic Perspective
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
Yifan Song
Peiyi Wang
Weimin Xiong
Dawei Zhu
Tianyu Liu
Zhifang Sui
Sujian Li
CLL
68
7
0
10 Oct 2023
Improving Summarization with Human Edits
Improving Summarization with Human Edits
Zonghai Yao
Benjamin J Schloss
Sai P. Selvaraj
109
4
0
09 Oct 2023
Keep Moving: identifying task-relevant subspaces to maximise plasticity
  for newly learned tasks
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
CLL
51
0
0
07 Oct 2023
Saliency-Guided Hidden Associative Replay for Continual Learning
Saliency-Guided Hidden Associative Replay for Continual Learning
Guangji Bai
Qilong Zhao
Xiaoyang Jiang
Yifei Zhang
Liang Zhao
CLL
102
6
0
06 Oct 2023
OpenIncrement: A Unified Framework for Open Set Recognition and Deep
  Class-Incremental Learning
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning
Jiawen Xu
Claas Grohnfeldt
O. Kao
BDLCLL
57
2
0
05 Oct 2023
Design Principles for Lifelong Learning AI Accelerators
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
...
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
109
17
0
05 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized
  Learning
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer
Clemens J. S. Schaefer
Jayden Parker Vap
Mark Horeni
Yu Emma Wang
Juan Ye
Siddharth Joshi
72
2
0
05 Oct 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
  Tracking
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu
Mattia Segu
Fisher Yu
61
4
0
04 Oct 2023
Continual Contrastive Spoken Language Understanding
Continual Contrastive Spoken Language Understanding
Umberto Cappellazzo
Enrico Fini
Muqiao Yang
Daniele Falavigna
Alessio Brutti
Bhiksha Raj
CLL
69
1
0
04 Oct 2023
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Naitik Khandelwal
Xiao Liu
Mengmi Zhang
CLL
84
0
0
02 Oct 2023
Towards guarantees for parameter isolation in continual learning
Towards guarantees for parameter isolation in continual learning
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
65
0
0
02 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
118
3
0
29 Sep 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Ksiazek
Przemysław Spurek
CLL
106
6
0
29 Sep 2023
Continual Action Assessment via Task-Consistent Score-Discriminative
  Feature Distribution Modeling
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Yuan-Ming Li
Ling-an Zeng
Jing-Ke Meng
Wei-Shi Zheng
103
11
0
29 Sep 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
152
67
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29 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
82
50
0
28 Sep 2023
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