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CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

28 March 2024
Saurav Jha
Dong Gong
Lina Yao
    CLIP
    VLM
ArXivPDFHTML

Papers citing "CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models"

14 / 14 papers shown
Title
Vision-Language Models Create Cross-Modal Task Representations
Vision-Language Models Create Cross-Modal Task Representations
Grace Luo
Trevor Darrell
Amir Bar
25
2
0
29 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
26
9
0
07 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
42
2
0
01 Oct 2024
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Smith
Yen-Chang Hsu
Lingyu Zhang
Ting Hua
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
117
94
0
12 Apr 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLL
VLM
84
29
0
12 Mar 2023
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
27
29
0
09 Oct 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
178
521
0
06 Oct 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
85
43
0
06 Oct 2022
Bayesian Prompt Learning for Image-Language Model Generalization
Bayesian Prompt Learning for Image-Language Model Generalization
Mohammad Mahdi Derakhshani
Enrique Sanchez
Adrian Bulat
Victor G. Turrisi da Costa
Cees G. M. Snoek
Georgios Tzimiropoulos
Brais Martínez
VPVLM
VLM
65
34
0
05 Oct 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
49
57
0
20 Sep 2022
What does a platypus look like? Generating customized prompts for
  zero-shot image classification
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah M Pratt
Ian Covert
Rosanne Liu
Ali Farhadi
VLM
116
211
0
07 Sep 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
77
40
0
26 May 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
159
812
0
21 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
1