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Data Determines Distributional Robustness in Contrastive Language Image
  Pre-training (CLIP)

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

3 May 2022
Alex Fang
Gabriel Ilharco
Mitchell Wortsman
Yu Wan
Vaishaal Shankar
Achal Dave
Ludwig Schmidt
    VLM
    OOD
ArXivPDFHTML

Papers citing "Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)"

49 / 99 papers shown
Title
Visual Data-Type Understanding does not emerge from Scaling
  Vision-Language Models
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
Vishaal Udandarao
Max F. Burg
Samuel Albanie
Matthias Bethge
VLM
24
8
0
12 Oct 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
35
2
0
11 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
28
0
0
10 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
24
4
0
08 Oct 2023
Data Filtering Networks
Data Filtering Networks
Alex Fang
Albin Madappally Jose
Amit Jain
Ludwig Schmidt
Alexander Toshev
Vaishaal Shankar
CLIP
32
124
0
29 Sep 2023
Preserving Modality Structure Improves Multi-Modal Learning
Preserving Modality Structure Improves Multi-Modal Learning
Swetha Sirnam
Mamshad Nayeem Rizve
Nina Shvetsova
Hilde Kuehne
M. Shah
23
4
0
24 Aug 2023
ViLLA: Fine-Grained Vision-Language Representation Learning from
  Real-World Data
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
M. Varma
Jean-Benoit Delbrouck
Sarah Hooper
Akshay S. Chaudhari
C. Langlotz
VLM
CoGe
40
5
0
22 Aug 2023
Distributionally Robust Classification on a Data Budget
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
C. Hegde
OOD
22
2
0
07 Aug 2023
Does Progress On Object Recognition Benchmarks Improve Real-World
  Generalization?
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
64
11
0
24 Jul 2023
On the Connection between Pre-training Data Diversity and Fine-tuning
  Robustness
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
Vivek Ramanujan
Thao Nguyen
Sewoong Oh
Ludwig Schmidt
Ali Farhadi
OOD
14
21
0
24 Jul 2023
Robust Visual Question Answering: Datasets, Methods, and Future
  Challenges
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Jie Ma
Pinghui Wang
Dechen Kong
Zewei Wang
Jun Liu
Hongbin Pei
Junzhou Zhao
OOD
19
18
0
21 Jul 2023
Improving Multimodal Datasets with Image Captioning
Improving Multimodal Datasets with Image Captioning
Thao Nguyen
S. Gadre
Gabriel Ilharco
Sewoong Oh
Ludwig Schmidt
VLM
19
70
0
19 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature
  Learning
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini
Sachin Goyal
Zachary Chase Lipton
J. Zico Kolter
Aditi Raghunathan
VLM
29
33
0
06 Jul 2023
Benchmarking Zero-Shot Recognition with Vision-Language Models:
  Challenges on Granularity and Specificity
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
Zhenlin Xu
Yi Zhu
Tiffany Deng
Abhay Mittal
Yanbei Chen
Manchen Wang
Paolo Favaro
Joseph Tighe
Davide Modolo
VLM
CoGe
11
7
0
28 Jun 2023
What Makes ImageNet Look Unlike LAION
What Makes ImageNet Look Unlike LAION
Ali Shirali
Moritz Hardt
8
9
0
27 Jun 2023
Utilizing Segment Anything Model For Assessing Localization of GRAD-CAM
  in Medical Imaging
Utilizing Segment Anything Model For Assessing Localization of GRAD-CAM in Medical Imaging
Evan Kellener
Ihina Nath
Anthony Ngo
Thomas Nguyen
Joshua Schuman
Coen Adler
Arnav Kartikeya
11
4
0
24 Jun 2023
Neural Priming for Sample-Efficient Adaptation
Neural Priming for Sample-Efficient Adaptation
Matthew Wallingford
Vivek Ramanujan
Alex Fang
Aditya Kusupati
Roozbeh Mottaghi
Aniruddha Kembhavi
Ludwig Schmidt
Ali Farhadi
VLM
106
13
0
16 Jun 2023
LOVM: Language-Only Vision Model Selection
LOVM: Language-Only Vision Model Selection
O. Zohar
Shih-Cheng Huang
Kuan-Chieh Jackson Wang
Serena Yeung
MLLM
35
12
0
15 Jun 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer
  to Novel Tasks and Healthcare Systems
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Cara Van Uden
Jeremy Irvin
Mars Huang
N. Dean
J. Carr
A. Ng
C. Langlotz
OOD
24
1
0
13 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLM
CLL
22
9
0
10 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
15
408
0
27 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Reza Averly
Wei-Lun Chao
OODD
35
11
0
13 Apr 2023
On Robustness in Multimodal Learning
On Robustness in Multimodal Learning
Brandon McKinzie
Joseph Cheng
Vaishaal Shankar
Yinfei Yang
Jonathon Shlens
Alexander Toshev
30
2
0
10 Apr 2023
TRAK: Attributing Model Behavior at Scale
TRAK: Attributing Model Behavior at Scale
Sung Min Park
Kristian Georgiev
Andrew Ilyas
Guillaume Leclerc
A. Madry
TDI
11
127
0
24 Mar 2023
Boosting Weakly Supervised Object Detection using Fusion and Priors from
  Hallucinated Depth
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth
Cagri Gungor
Adriana Kovashka
MDE
13
1
0
20 Mar 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for
  Weakly-Supervised Object Detection
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
Arushi Rai
Adriana Kovashka
19
0
0
16 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
28
99
0
13 Mar 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
38
20
0
27 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study
  in Speech Recognition
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
11
2
0
17 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with
  Different Training Data
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi
Nicholas Carlini
Ananth Balashankar
Ludwig Schmidt
Cho-Jui Hsieh
Alex Beutel
Yao Qin
OOD
21
9
0
02 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
26
30
0
26 Jan 2023
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Floris Weers
Vaishaal Shankar
Angelos Katharopoulos
Yinfei Yang
Tom Gunter
CLIP
18
4
0
19 Jan 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMe
OODD
24
80
0
20 Dec 2022
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
49
734
0
14 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
26
70
0
09 Dec 2022
PØDA: Prompt-driven Zero-shot Domain Adaptation
PØDA: Prompt-driven Zero-shot Domain Adaptation
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
36
45
0
06 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
20
23
0
29 Nov 2022
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
Vishaal Udandarao
Ankush Gupta
Samuel Albanie
VLM
MLLM
22
103
0
28 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with
  Pre-trained Transformers
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Jinyu Chen
Wenchao Xu
Song Guo
Junxiao Wang
Jie M. Zhang
Haozhao Wang
FedML
15
32
0
15 Nov 2022
Caption supervision enables robust learners
Caption supervision enables robust learners
Ben Feuer
Ameya Joshi
C. Hegde
SSL
CLIP
VLM
32
2
0
13 Oct 2022
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal
  Representations
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Elan Rosenfeld
Preetum Nakkiran
Hadi Pouransari
Oncel Tuzel
Fartash Faghri
55
6
0
08 Oct 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
  Datasets
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
Damien Teney
Yong Lin
Seong Joon Oh
Ehsan Abbasnejad
OOD
360
47
0
01 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIP
VLM
38
97
0
10 Aug 2022
Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Percy Liang
Tatsunori Hashimoto
CLIP
VLM
11
41
0
15 Jul 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
258
7,412
0
11 Nov 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
197
308
0
02 Mar 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
273
1,077
0
17 Feb 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
3,683
0
11 Feb 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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