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CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models
v1v2 (latest)

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

28 March 2024
Saurav Jha
Dong Gong
Lina Yao
    CLIPVLM
ArXiv (abs)PDFHTMLGithub (34★)

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

50 / 57 papers shown
Title
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
CLLKELMVLM
169
7
0
01 Dec 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
124
2
0
01 Oct 2024
Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
83
9
0
16 Mar 2024
Learning to Prompt with Text Only Supervision for Vision-Language Models
Learning to Prompt with Text Only Supervision for Vision-Language Models
Muhammad Uzair Khattak
Muhammad Ferjad Naeem
Muzammal Naseer
Luc Van Gool
F. Tombari
VLMVPVLM
83
21
0
04 Jan 2024
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLMCLL
84
108
0
05 Jul 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
VLMCLL
115
42
0
30 May 2023
Continual Vision-Language Representation Learning with Off-Diagonal
  Information
Continual Vision-Language Representation Learning with Off-Diagonal Information
Zixuan Ni
Longhui Wei
Siliang Tang
Yueting Zhuang
Qi Tian
VLMCLL
86
25
0
11 May 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
CLLVLM
136
77
0
12 Mar 2023
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
Beier Zhu
Yulei Niu
Saeil Lee
Minhoe Hur
Hanwang Zhang
VLMVPVLM
81
24
0
29 Jan 2023
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
Hampus Linander
BDLUQCV
82
5
0
15 Dec 2022
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
68
31
0
09 Oct 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLMVLM
256
566
0
06 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
155
51
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
VPVLMVLM
145
36
0
05 Oct 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
167
223
0
07 Sep 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
161
1,889
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,898
0
26 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Renrui Zhang
Zhang Wei
Rongyao Fang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
113
316
0
19 Jul 2022
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Tejas Srinivasan
Ting-Yun Chang
Leticia Pinto-Alva
Georgios Chochlakis
Mohammad Rostami
Jesse Thomason
VLMCLL
85
75
0
18 Jun 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
157
42
0
26 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLMVLM
416
3,585
0
29 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
117
490
0
10 Apr 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
52
31
0
24 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
139
1,349
0
10 Mar 2022
Learning Bayesian Sparse Networks with Full Experience Replay for
  Continual Learning
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Dong Gong
Qingsen Yan
Yuhang Liu
Anton Van Den Hengel
Javen Qinfeng Shi
CLLBDL
70
39
0
21 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
124
681
0
21 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
460
15,665
0
20 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
101
785
0
16 Dec 2021
VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
Longtian Qiu
Renrui Zhang
Ziyu Guo
Wei Zhang
Zilu Guo
Ziyao Zeng
Guangnan Zhang
VLMCLIP
55
45
0
04 Dec 2021
Combined Scaling for Zero-shot Transfer Learning
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
71
199
0
19 Nov 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLMCLIP
299
1,042
0
09 Oct 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
137
725
0
04 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
495
2,405
0
02 Sep 2021
Continual Learning in the Teacher-Student Setup: Impact of Task
  Similarity
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee
Sebastian Goldt
Andrew M. Saxe
CLL
72
74
0
09 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
477
10,367
0
17 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
100
367
0
15 Jun 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCVBDL
116
132
0
14 May 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
52
50
0
19 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in
  continual learning
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp
Matthias De Lange
Tinne Tuytelaars
CLL
52
108
0
15 Apr 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
79
692
0
28 Oct 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,366
0
08 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
347
1,740
0
29 Jun 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
52
143
0
29 Apr 2020
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OODUQCV
121
628
0
05 Dec 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
86
440
0
01 Oct 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,257
0
30 May 2019
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
87
1,158
0
25 Jul 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
93
307
0
24 May 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
102
1,141
0
30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
87
1,636
0
27 Nov 2017
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