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Learning Transferable Visual Models From Natural Language Supervision

Learning Transferable Visual Models From Natural Language Supervision

26 February 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
Sandhini Agarwal
Girish Sastry
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
    CLIP
    VLM
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Papers citing "Learning Transferable Visual Models From Natural Language Supervision"

29 / 9,779 papers shown
Title
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
18
6
0
05 Mar 2021
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual
  Machine Learning
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan
K. Raman
Jiecao Chen
Michael Bendersky
Marc Najork
VLM
208
310
0
02 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity
  Learning
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton
Scott M. Lundberg
Lei Zhang
Stephanie Fu
William T. Freeman
FAtt
30
10
0
28 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
130
0
27 Feb 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
90
90
0
25 Feb 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
4,781
0
24 Feb 2021
Understanding and Creating Art with AI: Review and Outlook
Understanding and Creating Art with AI: Review and Outlook
E. Cetinic
James She
132
311
0
18 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
281
179
0
17 Feb 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
25
120
0
11 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho
Jie Lei
Hao Tan
Joey Tianyi Zhou
MLLM
268
525
0
04 Feb 2021
Generating images from caption and vice versa via CLIP-Guided Generative
  Latent Space Search
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
Federico A. Galatolo
M. G. Cimino
G. Vaglini
VLM
34
85
0
02 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
227
2,430
0
04 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,919
0
31 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
28
50
0
10 Dec 2020
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework
  of Vision-and-Language BERTs
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs
Emanuele Bugliarello
Ryan Cotterell
Naoaki Okazaki
Desmond Elliott
35
119
0
30 Nov 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
23
20
0
02 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
32
731
0
02 Oct 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for
  Improved Generalization
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie
Tengyu Ma
Percy Liang
30
13
0
29 Jun 2020
ExpBERT: Representation Engineering with Natural Language Explanations
ExpBERT: Representation Engineering with Natural Language Explanations
Shikhar Murty
Pang Wei Koh
Percy Liang
46
43
0
05 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
188
0
03 May 2020
SenseCare: A Research Platform for Medical Image Informatics and
  Interactive 3D Visualization
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Qi Duan
Guotai Wang
Rui Wang
Chaohao Fu
Xinjun Li
...
Xinglong Liu
Qing Xia
Zhiqiang Hu
Ning Huang
Shaoting Zhang
40
18
0
03 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
270
3,375
0
09 Mar 2020
Stochastic Optimization of Plain Convolutional Neural Networks with
  Simple methods
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
Yahia Saeed Assiri
BDL
51
22
0
24 Jan 2020
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
264
4,489
0
23 Jan 2020
Do Image Classifiers Generalize Across Time?
Do Image Classifiers Generalize Across Time?
Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
20
82
0
05 Jun 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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