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FearNet: Brain-Inspired Model for Incremental Learning

FearNet: Brain-Inspired Model for Incremental Learning

28 November 2017
Ronald Kemker
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "FearNet: Brain-Inspired Model for Incremental Learning"

50 / 245 papers shown
Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
M. Nori
Il Kim
Guanghui Wang
CLL
50
0
0
09 May 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Hongmei Yin
Tingliang Feng
Fan Lyu
Fanhua Shang
Hongying Liu
Wei Feng
Liang Wan
CLL
VLM
72
0
0
28 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Suchisrit Gangopadhyay
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
66
1
0
17 Mar 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
47
0
0
10 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
X. Zuo
Q. Sun
CLL
KELM
65
0
0
08 Mar 2025
Position: Continual Learning Benefits from An Evolving Population over An Unified Model
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Yanan Sun
CLL
69
0
0
10 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu
Shizhou Zhang
De-Chun Cheng
Yinghui Xing
Di Xu
Peng Wang
Yanning Zhang
ObjD
61
0
0
08 Feb 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Christopher Angelini
N. Bouaynaya
BDL
33
0
0
18 Jan 2025
Modality-Incremental Learning with Disjoint Relevance Mapping Networks
  for Image-based Semantic Segmentation
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
73
1
0
26 Nov 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
24
0
0
08 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLM
CLL
44
9
0
07 Oct 2024
Continual Human Pose Estimation for Incremental Integration of Keypoints
  and Pose Variations
Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations
Muhammad Saif Ullah Khan
Muhammad Ahmed Ullah Khan
Muhammad Zeshan Afzal
Didier Stricker
CLL
31
1
0
30 Sep 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELM
CLL
MoMe
27
1
0
29 Sep 2024
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument
  segmentation
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation
Qiyuan Wang
Shang Zhao
Zikang Xu
S Kevin Zhou
31
0
0
14 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
34
1
0
02 Sep 2024
Incremental Open-set Domain Adaptation
Incremental Open-set Domain Adaptation
Sayan Rakshit
Hmrishav Bandyopadhyay
Nibaran Das
Biplab Banerjee
CLL
26
1
0
31 Aug 2024
Continual Learning of Nonlinear Independent Representations
Continual Learning of Nonlinear Independent Representations
Boyang Sun
Ignavier Ng
Guangyi Chen
Yifan Shen
Qirong Ho
Kun Zhang
OOD
CML
45
0
0
11 Aug 2024
Bridge Past and Future: Overcoming Information Asymmetry in Incremental
  Object Detection
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo
Yipeng Gao
Shenghao Fu
Junkai Yan
Ancong Wu
Wei-Shi Zheng
CLL
18
6
0
16 Jul 2024
Overcoming Catastrophic Forgetting in Tabular Data Classification: A
  Pseudorehearsal-based approach
Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
Pablo García Santaclara
Bruno Fernández Castro
Rebeca P. Díaz Redondo
LMTD
35
0
0
12 Jul 2024
CLEO: Continual Learning of Evolving Ontologies
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara
Saqib Bukhari
Georg Schneider
Didier Stricker
René Schuster
CLL
30
0
0
11 Jul 2024
Certified Continual Learning for Neural Network Regression
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
25
1
0
09 Jul 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
31
0
0
07 Jun 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
32
0
0
11 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
34
3
0
23 Apr 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class
  Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Songlin Dong
Yingjie Chen
Yuhang He
Yuhan Jin
Alex C. Kot
Yihong Gong
CLL
26
0
0
21 Apr 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
32
1
0
29 Mar 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for
  Few-Shot Class-Incremental Learning
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
Noor Ahmed
Anna Kukleva
Bernt Schiele
CLL
32
12
0
27 Mar 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
42
8
0
27 Mar 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLL
VLM
40
3
0
24 Mar 2024
Semantic Residual Prompts for Continual Learning
Semantic Residual Prompts for Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
E. Sangineto
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
VLM
38
9
0
11 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning
DiffClass: Diffusion-Based Class Incremental Learning
Zichong Meng
Jie M. Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
DiffM
CLL
43
14
0
08 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models
GUIDE: Guidance-based Incremental Learning with Diffusion Models
Bartosz Cywiñski
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
Lukasz Kuciñski
DiffM
45
3
0
06 Mar 2024
Recall-Oriented Continual Learning with Generative Adversarial
  Meta-Model
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang
Dong-Wan Choi
CLL
BDL
31
1
0
05 Mar 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening,
  and Condensation
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
Mohammad Hashemi
Shengbo Gong
Juntong Ni
Wenqi Fan
B. A. Prakash
Wei-dong Jin
DD
69
39
0
29 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Mingli Zhu
Zihao Zhu
Sihong Chen
Chen Chen
Baoyuan Wu
CLL
39
3
0
14 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental
  Audio-Visual Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
15
2
0
11 Jan 2024
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiñski
Jan Rybarczyk
Tomasz Trzciñski
CLL
DRL
21
0
0
21 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for
  Continual Learning
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
15
2
0
10 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
33
0
0
06 Dec 2023
Continual Learning with Low Rank Adaptation
Continual Learning with Low Rank Adaptation
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
CLL
26
11
0
29 Nov 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
29
13
0
26 Sep 2023
A Simple Illustration of Interleaved Learning using Kalman Filter for
  Linear Least Squares
A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares
Majnu John
Yihren Wu
13
0
0
22 Sep 2023
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
26
7
0
18 Sep 2023
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Joe Khawand
P. Hanappe
David Colliaux
CLL
14
0
0
15 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime
  Inference
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
S. Banerjee
Vinay K. Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
33
4
0
15 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
28
8
0
12 Sep 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
30
9
0
25 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with
  Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang
Weiqin Zhao
Shujun Wang
Yu Fu
Yuming Jiang
Lequan Yu
CLL
22
18
0
25 Aug 2023
Enhancing Efficient Continual Learning with Dynamic Structure
  Development of Spiking Neural Networks
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Bing Han
Feifei Zhao
Yi Zeng
Wenxuan Pan
Guobin Shen
CLL
37
12
0
09 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
27
4
0
31 Jul 2023
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