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Training Transitive and Commutative Multimodal Transformers with LoReTTa

Training Transitive and Commutative Multimodal Transformers with LoReTTa

23 May 2023
Manuel Tran
Yashin Dicente Cid
Amal Lahiani
Fabian J. Theis
Tingying Peng
Eldad Klaiman
ArXivPDFHTML

Papers citing "Training Transitive and Commutative Multimodal Transformers with LoReTTa"

6 / 6 papers shown
Title
SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language
  Model
SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model
Yi-Jen Shih
Hsuan-Fu Wang
Heng-Jui Chang
Layne Berry
Hung-yi Lee
David F. Harwath
VLM
CLIP
46
32
0
03 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
248
577
0
22 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 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
231
4,460
0
23 Jan 2020
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