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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

22 November 2021
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
    CLL
ArXivPDFHTML

Papers citing "DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion"

38 / 38 papers shown
Title
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
73
0
0
11 Apr 2025
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Xiangyu Zheng
Wanyun Li
Songcheng He
Xiaoqiang Li
Xiaoqiang Li
We Zhang
VOS
25
0
0
08 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
J. Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
J. Liu
Y. Liu
Liang Song
CLL
VLM
64
1
0
25 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
86
0
0
23 Mar 2025
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Weixi Zheng
Aoling Huang. Jingping Yuan
Jingping Yuan
Haoyu Zhao
Zhou Zhao
Yongchao Xu
Thierry Géraud
CLL
46
0
0
08 Mar 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
106
0
0
15 Jan 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Zhongyi Zhou
Yaxin Peng
Pin Yi
Minjie Zhu
Chaomin Shen
51
0
0
04 Jan 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
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
Kaushik Roy
Akila Dissanayake
Brendan Tidd
Peyman Moghadam
CLL
VLM
40
2
0
30 Sep 2024
Sequential Learning in the Dense Associative Memory
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
53
1
0
24 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
53
1
0
29 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for
  Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
J. Weijer
Changsheng Xu
CLL
44
1
0
02 Aug 2024
Strike a Balance in Continual Panoptic Segmentation
Strike a Balance in Continual Panoptic Segmentation
Jinpeng Chen
Runmin Cong
Yuxuan Luo
H. Ip
Sam Kwong
38
4
0
23 Jul 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental
  Learning Method
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran
Elahe Arani
Bahram Zonooz
CLL
39
3
0
23 Jun 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
15
0
0
20 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
67
7
0
17 May 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Bernard Ghanem
Philip H. S. Torr
Adel Bibi
Mohamed Elhoseiny
CLL
29
5
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
29
6
0
18 Apr 2024
Continual Segmentation with Disentangled Objectness Learning and Class
  Recognition
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong
Siyue Yu
Xiaoyang Wang
Jimin Xiao
CLL
25
5
0
06 Mar 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
25
9
0
06 Mar 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
32
2
0
12 Jan 2024
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
N. V. Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
11
10
0
21 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
97
27
0
13 Sep 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
19
19
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
CLL
22
8
0
03 Aug 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
69
37
0
30 May 2023
Preserving Locality in Vision Transformers for Class Incremental
  Learning
Preserving Locality in Vision Transformers for Class Incremental Learning
Bowen Zheng
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
16
5
0
14 Apr 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
15
9
0
08 Apr 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
6
22
0
29 Mar 2023
Task-Attentive Transformer Architecture for Continual Learning of
  Vision-and-Language Tasks Using Knowledge Distillation
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
CLL
19
11
0
25 Mar 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
15
7
0
12 Feb 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
19
4
0
28 Jan 2023
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
14
13
0
27 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
32
1
0
21 Nov 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
97
43
0
06 Oct 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
17
122
0
26 May 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
0
24 May 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with Transformers
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
19
42
0
09 Mar 2022
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