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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown
Title
On mitigating stability-plasticity dilemma in CLIP-guided image morphing
  via geodesic distillation loss
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
Yeongtak Oh
Saehyung Lee
Uiwon Hwang
Sungroh Yoon
49
0
0
19 Jan 2024
Enhancing Scalability in Recommender Systems through Lottery Ticket
  Hypothesis and Knowledge Distillation-based Neural Network Pruning
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning
R. Rajaram
Manoj Bharadhwaj
VS Vasan
N. Pervin
31
1
0
19 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
86
32
0
18 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
58
5
0
17 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision
  Transformer
Solving Continual Offline Reinforcement Learning with Decision Transformer
Kaixin Huang
Li Shen
Chen Zhao
Chun Yuan
Dacheng Tao
CLLOffRL
84
5
0
16 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELMCLL
97
16
0
16 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
81
3
0
14 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
110
5
0
12 Jan 2024
EsaCL: Efficient Continual Learning of Sparse Models
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren
V. Honavar
CLL
50
3
0
11 Jan 2024
Class-Incremental Learning for Multi-Label Audio Classification
Class-Incremental Learning for Multi-Label Audio Classification
Manjunath Mulimani
A. Mesaros
CLL
67
12
0
09 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity
  Recognition
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Akhil Mathur
Cecilia Mascolo
SSLHAI
64
1
0
04 Jan 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine
  Unlearning
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo
Zhuo Tang
Bin Wang
KenLi Li
Anwitaman Datta
CLLMU
56
3
0
04 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated
  Class-Incremental Learning
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
97
9
0
04 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
57
2
0
02 Jan 2024
Continual Learning via Sequential Function-Space Variational Inference
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
Y. Gal
74
42
0
28 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
116
11
0
28 Dec 2023
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
71
1
0
27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
81
44
0
27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan
Yu Wang
Pengfei Zhu
Qinghua Hu
CLL
201
5
0
27 Dec 2023
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li
Xin Yang
Hao Wang
Xiangkun Wang
Tianrui Li
VLMCLL
69
18
0
22 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
124
5
0
22 Dec 2023
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiński
Jan Rybarczyk
Tomasz Trzciñski
CLLDRL
46
0
0
21 Dec 2023
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class
  Incremental Learning
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning
Jiang-Tian Zhai
Xialei Liu
Lu Yu
Ming-Ming Cheng
CLL
115
10
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
135
2
0
19 Dec 2023
Exploring UMAP in hybrid models of entropy-based and representativeness
  sampling for active learning in biomedical segmentation
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
74
3
0
16 Dec 2023
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake
  Detection
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
Xiaohui Zhang
Jiangyan Yi
Chenglong Wang
Chuyuan Zhang
Siding Zeng
Jianhua Tao
92
30
0
15 Dec 2023
RTRA: Rapid Training of Regularization-based Approaches in Continual
  Learning
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
Sahil Nokhwal
Nirman Kumar
CLL
33
6
0
14 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners
Weighted Ensemble Models Are Strong Continual Learners
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
109
22
0
14 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
98
7
0
13 Dec 2023
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
CLLMoMe
99
1
0
12 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
64
2
0
10 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype
  Calibration
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qiwen Wang
Da-Wei Zhou
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
CLL
130
46
0
08 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
62
3
0
08 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
61
0
0
06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
83
1
0
06 Dec 2023
MIND: Multi-Task Incremental Network Distillation
MIND: Multi-Task Incremental Network Distillation
Jacopo Bonato
Francesco Pelosin
Luigi Sabetta
Alessandro Nicolosi
CLL
98
10
0
05 Dec 2023
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly
  Detection in Power Electronic Systems
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
P. Gómez
Miguel E. López Gajardo
N. Mijatovic
Tomislav Dragičević
64
4
0
05 Dec 2023
Pseudo Replay-based Class Continual Learning for Online New Category
  Anomaly Detection in Additive Manufacturing
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Additive Manufacturing
Zhangyue Shi
Tianxin Xie
Chenang Liu
Yuxuan Li
24
0
0
05 Dec 2023
Label Delay in Online Continual Learning
Label Delay in Online Continual Learning
Botos Csaba
Wenxuan Zhang
Matthias Muller
Ser-Nam Lim
Mohamed Elhoseiny
Philip Torr
Adel Bibi
CLL
69
1
0
01 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen
Jingkuan Song
LianLi Gao
Hengtao Shen
40
1
0
01 Dec 2023
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware
  representations to LLMs and Emergent Cross-modal Reasoning
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
Artemis Panagopoulou
Le Xue
Ning Yu
Junnan Li
Dongxu Li
Shafiq Joty
Ran Xu
Silvio Savarese
Caiming Xiong
Juan Carlos Niebles
VLMMLLM
146
61
0
30 Nov 2023
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
James Seale Smith
Yen-Chang Hsu
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
112
6
0
30 Nov 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffMVLM
100
1
0
30 Nov 2023
Continual Learning with Low Rank Adaptation
Continual Learning with Low Rank Adaptation
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
CLL
81
16
0
29 Nov 2023
Continual Learning for Image Segmentation with Dynamic Query
Continual Learning for Image Segmentation with Dynamic Query
Weijia Wu
Yuzhong Zhao
Zhuang Li
Lianlei Shan
Hong Zhou
Mike Zheng Shou
VLMCLL
88
17
0
29 Nov 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial
  Learning
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
Pengchao Han
Xingyan Shi
Jianwei Huang
FedML
87
3
0
28 Nov 2023
Continual Instruction Tuning for Large Multimodal Models
Continual Instruction Tuning for Large Multimodal Models
Jinghan He
Haiyun Guo
Ming Tang
Jinqiao Wang
VLMMLLMCLLKELM
85
26
0
27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query
  Orthogonal Projection and Prototype-based One-Versus-All
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
82
6
0
26 Nov 2023
How much data do I need? A case study on medical data
How much data do I need? A case study on medical data
Ayse Betul Cengiz
A. Mcgough
78
2
0
26 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using
  Adaptive Weight Modulation
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
70
0
0
26 Nov 2023
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