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Less-forgetting Learning in Deep Neural Networks

Less-forgetting Learning in Deep Neural Networks

1 July 2016
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
ArXivPDFHTML

Papers citing "Less-forgetting Learning in Deep Neural Networks"

43 / 43 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
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
28
0
0
03 Jan 2025
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
39
0
0
04 Nov 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
35
4
0
13 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
38
1
0
22 Apr 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
29
9
0
06 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
33
2
0
28 Feb 2024
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
32
18
0
18 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
48
21
0
10 Oct 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
26
0
0
18 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
22
34
0
16 Mar 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Artificial Neuronal Ensembles with Learned Context Dependent Gating
M. Tilley
Michelle Miller
David J. Freedman
24
3
0
17 Jan 2023
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
VLM
LRM
16
7
0
19 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
20
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
15
2
0
09 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
19
70
0
04 Nov 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
19
28
0
12 Oct 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLL
CVBM
16
30
0
23 Aug 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
28
35
0
30 May 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
21
7
0
11 May 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
19
15
0
11 Apr 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Jie Song
Mingli Song
CLL
22
41
0
22 Mar 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and
  Knowledge Transfer
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Kaiqi Zhao
Yitao Chen
Ming Zhao
25
3
0
22 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
27
33
0
07 Jan 2022
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
16
4
0
21 Oct 2021
S-Extension Patch: A simple and efficient way to extend an object
  detection model
S-Extension Patch: A simple and efficient way to extend an object detection model
Dishant Parikh
ObjD
VLM
25
0
0
06 Oct 2021
Dynamic Language Models for Continuously Evolving Content
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
23
37
0
11 Jun 2021
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
22
17
0
17 Apr 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay K. Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
30
76
0
25 Mar 2021
Collaborative Method for Incremental Learning on Classification and
  Generation
Collaborative Method for Incremental Learning on Classification and Generation
Byungju Kim
Jaeyoung Lee
Kyungsu Kim
Sungjin Kim
Junmo Kim
CLL
11
1
0
29 Oct 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLM
CLL
8
15
0
11 Jul 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither
  Old Data Nor Old Labels
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Marvin Klingner
Andreas Bär
Philipp Donn
Tim Fingscheidt
CLL
17
45
0
12 May 2020
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
F. Zhu
CLL
13
147
0
30 Mar 2020
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
16
195
0
06 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
11
1,230
0
30 May 2019
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
9
5
0
16 Jun 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
22
304
0
24 May 2018
Incremental Classifier Learning with Generative Adversarial Networks
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Zhengyou Zhang
Y. Fu
GAN
18
107
0
02 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serra
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
29
1,048
0
04 Jan 2018
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
45
4,299
0
29 Jun 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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