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TiC-CLIP: Continual Training of CLIP Models

TiC-CLIP: Continual Training of CLIP Models

24 October 2023
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
    VLM
    CLIP
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Papers citing "TiC-CLIP: Continual Training of CLIP Models"

12 / 12 papers shown
Title
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
Jeffrey Li
Mohammadreza Armandpour
Iman Mirzadeh
Sachin Mehta
Vaishaal Shankar
...
Samy Bengio
Oncel Tuzel
Mehrdad Farajtabar
Hadi Pouransari
Fartash Faghri
CLL
KELM
59
0
0
02 Apr 2025
TULIP: Token-length Upgraded CLIP
TULIP: Token-length Upgraded CLIP
Ivona Najdenkoska
Mohammad Mahdi Derakhshani
Yuki M. Asano
N. V. Noord
Marcel Worring
Cees G. M. Snoek
VLM
40
3
0
13 Oct 2024
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
89
29
0
12 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Steven G. McDonagh
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
30
46
0
07 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
91
43
0
06 Oct 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in
  Question Answering Models
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Livska
Tomávs Kovciský
E. Gribovskaya
Tayfun Terzi
Eren Sezener
...
Susannah Young
Ellen Gilsenan-McMahon
Sophia Austin
Phil Blunsom
Angeliki Lazaridou
KELM
220
89
0
23 May 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
126
91
0
17 Jan 2022
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
33
30
0
06 Dec 2021
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
222
122
0
07 Oct 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
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