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Using Hindsight to Anchor Past Knowledge in Continual Learning

Using Hindsight to Anchor Past Knowledge in Continual Learning

19 February 2020
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip H. S. Torr
David Lopez-Paz
    KELM
    CLL
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Papers citing "Using Hindsight to Anchor Past Knowledge in Continual Learning"

27 / 27 papers shown
Title
CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity
CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity
Yongsheng Huang
Peibo Duan
Zhipeng Liu
Kai Sun
Changsheng Zhang
Bin Zhang
Mingkun Xu
GNN
42
0
0
09 May 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim
Bryan A. Plummer
CLL
OffRL
72
0
0
25 Nov 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
21
0
0
09 Oct 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
44
0
0
30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
72
1
0
30 Jul 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
36
1
0
22 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
29
6
0
18 Apr 2024
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
19
1
0
12 Dec 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
13
4
0
16 Nov 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Y. Ong
CLL
25
0
0
26 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
19
4
0
08 Sep 2023
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
21
9
0
08 Apr 2023
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
26
4
0
28 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
14
3
0
04 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
10
29
0
20 Aug 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen
Yu Wang
Q. Hu
CLL
15
16
0
30 Jun 2022
The Effect of Task Ordering in Continual Learning
The Effect of Task Ordering in Continual Learning
Samuel J. Bell
Neil D. Lawrence
CLL
41
17
0
26 May 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
19
6
0
16 Feb 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
16
3
0
05 Jan 2022
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
13
4
0
03 Dec 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
92
21
0
10 Sep 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
26
291
0
28 Jun 2021
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip H. S. Torr
CLL
12
113
0
22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
12
137
0
09 Oct 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
13
36
0
09 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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