ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.09282
  4. Cited By
Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning without Forgetting"

50 / 2,211 papers shown
Title
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
31
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
23
1
0
04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
40
0
0
04 Nov 2024
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
Large Language Model Supply Chain: Open Problems From the Security
  Perspective
Large Language Model Supply Chain: Open Problems From the Security Perspective
Q. Hu
Xiaofei Xie
Sen Chen
Lei Ma
ELM
49
2
0
03 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
36
0
0
03 Nov 2024
Covariance-based Space Regularization for Few-shot Class Incremental
  Learning
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
36
0
0
02 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
50
0
0
01 Nov 2024
Black-Box Forgetting
Black-Box Forgetting
Yusuke Kuwana
Yuta Goto
Takashi Shibata
Go Irie
CLL
MU
VLM
26
0
0
01 Nov 2024
Permutation Invariant Learning with High-Dimensional Particle Filters
Permutation Invariant Learning with High-Dimensional Particle Filters
Akhilan Boopathy
Aneesh Muppidi
Peggy Yang
Abhiram Iyer
William Yue
Ila R Fiete
SSL
36
0
0
30 Oct 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Shaobo Wang
Hongxuan Tang
Mingyang Wang
H. Zhang
Xuyang Liu
Weiya Li
Xuming Hu
Linfeng Zhang
17
0
0
29 Oct 2024
Vector Quantization Prompting for Continual Learning
Vector Quantization Prompting for Continual Learning
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLM
CLL
36
3
0
27 Oct 2024
Historical Test-time Prompt Tuning for Vision Foundation Models
Historical Test-time Prompt Tuning for Vision Foundation Models
Jingyi Zhang
Jiaxing Huang
Xiaoqin Zhang
Ling Shao
Shijian Lu
VLM
30
4
0
27 Oct 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device
  Continual Learning
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
Chen Gong
Zhenzhe Zheng
Fan Wu
Xiaofeng Jia
Guihai Chen
LMTD
FedML
34
2
0
24 Oct 2024
Continual Learning on a Data Diet
Continual Learning on a Data Diet
Elif Ceren Gok Yildirim
Murat Onur Yildirim
Joaquin Vanschoren
CLL
18
0
0
23 Oct 2024
How to Continually Adapt Text-to-Image Diffusion Models for Flexible
  Customization?
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Jiahua Dong
Wenqi Liang
Hongliu Li
Duzhen Zhang
Meng Cao
Henghui Ding
Salman Khan
F. Khan
DiffM
62
9
0
23 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
33
2
0
23 Oct 2024
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying
  Feature Space
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal
Karaka Prasanth Naidu
Alexander Horsch
Krishna Agarwal
D. Prasad
17
1
0
22 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data
Unsupervised Replay Strategies for Continual Learning with Limited Data
Anthony Bazhenov
Pahan Dewasurendra
G. Krishnan
Jean Erik Delanois
CLL
19
0
0
21 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class
  Incremental Learning
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong
Jiacheng Shi
Ashley Gao
Shaohan Hu
Tianyi Zhou
Huajie Shao
VLM
DD
36
1
0
20 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
28
0
0
19 Oct 2024
Controllable Discovery of Intents: Incremental Deep Clustering Using
  Semi-Supervised Contrastive Learning
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning
Mrinal Rawat
Hithesh Sankararaman
Victor Barrès
29
0
0
18 Oct 2024
Assessing Open-world Forgetting in Generative Image Model Customization
Assessing Open-world Forgetting in Generative Image Model Customization
Héctor Laria
Alex Gomez-Villa
Imad Eddine Marouf
Bogdan Raducanu
Bogdan Raducanu
VLM
DiffM
34
0
0
18 Oct 2024
From Lab to Pocket: A Novel Continual Learning-based Mobile Application
  for Screening COVID-19
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19
Danny Falero
Muhammad Ashad Kabir
Nusrat Homaira
23
0
0
16 Oct 2024
Overcoming Domain Limitations in Open-vocabulary Segmentation
Overcoming Domain Limitations in Open-vocabulary Segmentation
Dongjun Hwang
Seong Joon Oh
Junsuk Choe
SSeg
OOD
56
0
0
15 Oct 2024
Open World Object Detection: A Survey
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
36
0
0
15 Oct 2024
Queryable Prototype Multiple Instance Learning with Vision-Language
  Models for Incremental Whole Slide Image Classification
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
Jiaxiang Gou
Luping Ji
Pei Liu
Mao Ye
VLM
30
0
0
14 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage
  Learning Strategy
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLL
MoMe
40
1
0
14 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task
  Profiling and Prompting Approach
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
Bing Liu
CLL
31
3
0
14 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Kun-Peng Ning
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMe
CLL
16
3
0
14 Oct 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via
  Training-free Adaptor
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
Sahar Ahmadi
A. Cheraghian
Morteza Saberi
Md. Towsif Abir
Hamidreza Dastmalchi
Farookh Hussain
Shafin Rahman
3DPC
26
2
0
11 Oct 2024
Continual Learning in the Frequency Domain
Continual Learning in the Frequency Domain
Ruiqi Liu
Boyu Diao
Libo Huang
Zijia An
Zhulin An
Yongjun Xu
VLM
CLL
28
7
0
09 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category
  Discovery
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
Shijie Ma
Fei Zhu
Zhun Zhong
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
39
6
0
09 Oct 2024
LeanAgent: Lifelong Learning for Formal Theorem Proving
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan
Mo Tiwari
Peiyang Song
Robert Joseph George
Chaowei Xiao
Anima Anandkumar
CLL
LLMAG
LRM
70
8
0
08 Oct 2024
Brain-inspired continual pre-trained learner via silent synaptic
  consolidation
Brain-inspired continual pre-trained learner via silent synaptic consolidation
Xuming Ran
Juntao Yao
Yusong Wang
Mingkun Xu
Dianbo Liu
AAML
CLL
23
0
0
08 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
Hossein Resani
B. Nasihatkon
3DV
107
0
0
08 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo
Yuyang Liu
Zongying Lin
Peixi Peng
Yonghong Tian
Yonghong Tian
VLM
30
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
Neutral residues: revisiting adapters for model extension
Neutral residues: revisiting adapters for model extension
Franck Signe Talla
Hervé Jégou
Edouard Grave
25
0
0
03 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
63
2
0
01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
64
2
0
01 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
Collaborative Knowledge Distillation via a Learning-by-Education Node
  Community
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
25
0
0
30 Sep 2024
PerCo (SD): Open Perceptual Compression
PerCo (SD): Open Perceptual Compression
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
24
4
0
30 Sep 2024
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face
  Recognition
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
Zhonglin Sun
Siyang Song
Ioannis Patras
Georgios Tzimiropoulos
26
4
0
27 Sep 2024
How green is continual learning, really? Analyzing the energy
  consumption in continual training of vision foundation models
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
Tomaso Trinci
Simone Magistri
Roberto Verdecchia
Andrew D. Bagdanov
CLL
33
0
0
27 Sep 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free
  Class Incremental Learning
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
Grzegorz Rype'sć
Sebastian Cygert
Tomasz Trzciñski
Bartłomiej Twardowski
30
4
0
26 Sep 2024
Continual learning with task specialist
Continual learning with task specialist
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
VLM
CLL
23
0
0
26 Sep 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
28
3
0
26 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
31
0
0
24 Sep 2024
Previous
123456...434445
Next