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General Incremental Learning with Domain-aware Categorical
  Representations

General Incremental Learning with Domain-aware Categorical Representations

8 April 2022
Jiangwei Xie
Shipeng Yan
Xuming He
    OOD
    CLL
ArXivPDFHTML

Papers citing "General Incremental Learning with Domain-aware Categorical Representations"

24 / 24 papers shown
Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu
Xu Zou
Gang Hua
Jiahuan Zhou
CLL
80
0
0
07 May 2025
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
Dinesh Manocha
Huajie Shao
VLM
DD
41
1
0
20 Oct 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic
  Incremental Learning
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
30
1
0
17 Sep 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
46
3
0
23 Jun 2024
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Biqing Qi
Pengfei Li
Fangyuan Li
Junqi Gao
Kaiyan Zhang
Bowen Zhou
32
11
0
08 Jun 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
Online Continual Learning via Logit Adjusted Softmax
Online Continual Learning via Logit Adjusted Softmax
Zhehao Huang
Tao Li
Chenhe Yuan
Yingwen Wu
Xiaolin Huang
CLL
55
3
0
11 Nov 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
  Tracking
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu
Mattia Segu
Fisher Yu
26
4
0
04 Oct 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer
  Federated Learning and Domain Incremental Learning for Multicenter
  Collaboration
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas Maier
F. Putz
FedML
CLL
19
1
0
29 Sep 2023
Multivariate Prototype Representation for Domain-Generalized Incremental
  Learning
Multivariate Prototype Representation for Domain-Generalized Incremental Learning
Can Peng
Piotr Koniusz
Kai Guo
Brian C. Lovell
Peyman Moghadam
CLL
OOD
29
2
0
24 Sep 2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Jiahua Dong
Gan Sun
Henghui Ding
CLL
VLM
34
12
0
20 Jul 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID
  Inference using Transformer Nearest-Centroid Embeddings
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
19
1
0
21 Jun 2023
Condensed Prototype Replay for Class Incremental Learning
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong
Zhenyu Zong
Dinesh Manocha
Huajie Shao
16
2
0
25 May 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
108
26
0
29 Apr 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
28
7
0
12 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
38
601
0
31 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
21
22
0
25 Jan 2023
Continual Learning with Optimal Transport based Mixture Model
Continual Learning with Optimal Transport based Mixture Model
Quyen Tran
Hoang Phan
Khoat Than
Dinh Q. Phung
Trung Le
CLL
21
1
0
30 Nov 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning
  without Interference
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang
Zhiheng Ma
Zhiwu Huang
Yaowei Wang
Zhou Su
Xiaopeng Hong
25
40
0
29 Nov 2022
Generative Negative Text Replay for Continual Vision-Language
  Pretraining
Generative Negative Text Replay for Continual Vision-Language Pretraining
Shipeng Yan
Lanqing Hong
Hang Xu
Jianhua Han
Tinne Tuytelaars
Zhenguo Li
Xuming He
VLM
CLL
CLIP
28
17
0
31 Oct 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
41
5
0
13 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
210
0
26 Jul 2022
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
53
28
0
25 Apr 2021
1