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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
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Papers citing "Learning without Forgetting"

50 / 2,212 papers shown
Title
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
45
0
0
25 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning
  Perspective
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
Leyuan Wang
Liuyu Xiang
Yunlong Wang
Huijia Wu
Zhaofeng He
CLL
30
0
0
24 May 2024
CLIP model is an Efficient Online Lifelong Learner
CLIP model is an Efficient Online Lifelong Learner
Leyuan Wang
Liuyu Xiang
Yujie Wei
Yunlong Wang
Zhaofeng He
VLM
CLL
35
3
0
24 May 2024
Distributed Continual Learning
Distributed Continual Learning
Long Le
Marcel Hussing
Eric Eaton
CLL
FedML
39
2
0
23 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning
U-TELL: Unsupervised Task Expert Lifelong Learning
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
CLL
34
1
0
23 May 2024
Controllable Continual Test-Time Adaptation
Controllable Continual Test-Time Adaptation
Ziqi Shi
Fan Lyu
Ye Liu
Fanhua Shang
Fuyuan Hu
Wei Feng
Zhang Zhang
Liang Wang
TTA
63
2
0
23 May 2024
Variational Bayes for Federated Continual Learning
Variational Bayes for Federated Continual Learning
Dezhong Yao
Sanmu Li
Yutong Dai
Zhiqiang Xu
Shengshan Hu
Peilin Zhao
Lichao Sun
FedML
56
1
0
23 May 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
43
1
0
22 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
48
1
0
20 May 2024
Learning More Generalized Experts by Merging Experts in
  Mixture-of-Experts
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Sejik Park
FedML
CLL
MoMe
40
5
0
19 May 2024
Multicenter Privacy-Preserving Model Training for Deep Learning Brain
  Metastases Autosegmentation
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
Yixing Huang
Zahra Khodabakhshi
A. Gomaa
Manuel Schmidt
R. Fietkau
Matthias Guckenberger
N. Andratschke
Christoph Bert
S. Tanadini-Lang
F. Putz
39
5
0
17 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
Beyond Traditional Single Object Tracking: A Survey
Beyond Traditional Single Object Tracking: A Survey
Omar Abdelaziz
Mohamed Shehata
Mohamed Mohamed
35
0
0
16 May 2024
Towards Realistic Incremental Scenario in Class Incremental Semantic
  Segmentation
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
Jihwan Kwak
Sungmin Cha
Taesup Moon
CLL
43
0
0
16 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
44
0
0
16 May 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware
  Optimization for Enhanced Continual Learning
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
Xingyu Li
Bo Tang
VLM
CLL
40
0
0
15 May 2024
Adapting Abstract Meaning Representation Parsing to the Clinical
  Narrative -- the SPRING THYME parser
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
Jon Z. Cai
Kristin Wright-Bettner
Martha Palmer
G. Savova
James H. Martin
53
0
0
15 May 2024
Overcoming Domain Drift in Online Continual Learning
Overcoming Domain Drift in Online Continual Learning
Fan Lyu
Daofeng Liu
Linglan Zhao
Zhang Zhang
Fanhua Shang
Fuyuan Hu
Wei Feng
Liang Wang
CLL
40
1
0
15 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang
Yanyan Liang
Jun Wan
Du Zhang
CLL
38
3
0
14 May 2024
Feature Expansion and enhanced Compression for Class Incremental
  Learning
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand
G. Chenadec
Benoit Clement
Panagiotis Papadakis
Quentin Oliveau
CLL
30
0
0
13 May 2024
Liquid Ensemble Selection for Continual Learning
Liquid Ensemble Selection for Continual Learning
Carter Blair
Ben Armstrong
Kate Larson
FedML
OOD
CLL
16
0
0
12 May 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
37
1
0
12 May 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
43
0
0
11 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards
  Biomedical Healthcare
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CE
MedIm
LM&MA
71
5
0
10 May 2024
Fast Evaluation of DNN for Past Dataset in Incremental Learning
Fast Evaluation of DNN for Past Dataset in Incremental Learning
Naoto Sato
25
0
0
10 May 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
32
2
0
08 May 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
36
2
0
07 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
45
4
0
07 May 2024
Exploring the Efficacy of Federated-Continual Learning Nodes with
  Attention-Based Classifier for Robust Web Phishing Detection: An Empirical
  Investigation
Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation
Jesher Joshua M
Adhithya R
Sree Dananjay S
M. Revathi
FedML
24
2
0
06 May 2024
Beyond Unimodal Learning: The Importance of Integrating Multiple
  Modalities for Lifelong Learning
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
F. Sarfraz
Bahram Zonooz
Elahe Arani
CLL
39
2
0
04 May 2024
Continual Learning for Robust Gate Detection under Dynamic Lighting in
  Autonomous Drone Racing
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
Zhongzheng Qiao
Xuan Huy Pham
Savitha Ramasamy
Xudong Jiang
Erdal Kayacan
Andriy Sarabakha
26
1
0
02 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless
  Network Optimisation
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation
Cengis Hasan
Alexandros Agapitos
David Lynch
Alberto Castagna
Giorgio Cruciata
Hao Wang
Aleksandar Milenovic
46
0
0
30 Apr 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
D. Jiang
Yaowei Wang
48
0
0
28 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLL
KELM
LRM
52
64
0
25 Apr 2024
Revisiting Neural Networks for Continual Learning: An Architectural
  Perspective
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
Aojun Lu
Tao Feng
Hangjie Yuan
Xiaotian Song
Yanan Sun
52
7
0
23 Apr 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
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning
  for Medical Images
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images
Mohammad Areeb Qazi
Ibrahim Almakky
Anees Ur Rehman Hashmi
Santosh Sanjeev
Mohammad Yaqub
MoMe
39
3
0
22 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
28
0
0
21 Apr 2024
Double Mixture: Towards Continual Event Detection from Speech
Double Mixture: Towards Continual Event Detection from Speech
Jingqi Kang
Tongtong Wu
Jinming Zhao
Guitao Wang
Yinwei Wei
Haomiao Yang
Guilin Qi
Yuan-Fang Li
Gholamreza Haffari
28
0
0
20 Apr 2024
BACS: Background Aware Continual Semantic Segmentation
BACS: Background Aware Continual Semantic Segmentation
Mostafa ElAraby
Ali Harakeh
Liam Paull
CLL
40
0
0
19 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
44
6
0
18 Apr 2024
Alleviating Catastrophic Forgetting in Facial Expression Recognition
  with Emotion-Centered Models
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models
Israel A. Laurensi
A. Britto
J. P. Barddal
A. L. Koerich
CVBM
16
1
0
18 Apr 2024
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental
  Semantic Segmentation
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si
Xuehui Wang
Xiaokang Yang
Wei Shen
CLL
50
1
0
18 Apr 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual
  Generative Replay
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
Jinmei Liu
Wenbin Li
Xiangyu Yue
Shilin Zhang
Chunlin Chen
Zhi Wang
OffRL
DiffM
36
5
0
16 Apr 2024
Towards Practical Tool Usage for Continually Learning LLMs
Towards Practical Tool Usage for Continually Learning LLMs
Jerry Huang
Prasanna Parthasarathi
Mehdi Rezagholizadeh
Sarath Chandar
CLL
KELM
56
4
0
14 Apr 2024
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors
  to New Generators Using Limited Data
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
Aref Azizpour
Tai D. Nguyen
Manil Shrestha
Kaidi Xu
Edward Kim
Matthew C. Stamm
37
4
0
12 Apr 2024
Realistic Continual Learning Approach using Pre-trained Models
Realistic Continual Learning Approach using Pre-trained Models
Nadia Nasri
Carlos Gutiérrez-Álvarez
Sergio Lafuente-Arroyo
Saturnino Maldonado-Bascón
Roberto J. López-Sastre
CLL
43
0
0
11 Apr 2024
Remembering Transformer for Continual Learning
Remembering Transformer for Continual Learning
Yuwei Sun
Ippei Fujisawa
Arthur Juliani
Jun Sakuma
Ryota Kanai
CLL
33
1
0
11 Apr 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
49
1
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
42
2
0
10 Apr 2024
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