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2109.01903
Cited By
Robust fine-tuning of zero-shot models
4 September 2021
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
Rebecca Roelofs
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
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Papers citing
"Robust fine-tuning of zero-shot models"
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Title
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
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Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
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Fine-tuning can cripple your foundation model; preserving features may be the solution
Jishnu Mukhoti
Y. Gal
Philip H. S. Torr
P. Dokania
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40
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0
25 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Hualiang Wang
Yi Li
Huifeng Yao
Xiaomeng Li
VLM
OODD
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94
0
23 Aug 2023
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation
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Yi Zhou
Tao Zhou
Chun-Mei Feng
Ling Shao
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29
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0
21 Aug 2023
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Yi-Kai Zhang
Lu Ren
Chao Yi
Qiwen Wang
De-Chuan Zhan
Han-Jia Ye
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2
0
17 Aug 2023
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez
H. Chakor
Riadh Kobbi
Jose Dolz
Ismail Ben Ayed
VLM
MedIm
72
33
0
15 Aug 2023
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Yongqian Huang
Peng Ye
Xiaoshui Huang
Sheng Li
Tao Chen
Tong He
Wanli Ouyang
MoMe
31
8
0
11 Aug 2023
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
C. Hegde
OOD
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07 Aug 2023
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu
Aidong Men
Yang Liu
Qingchao Chen
16
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06 Aug 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Ping Hu
Ximeng Sun
Stan Sclaroff
Kate Saenko
VLM
34
21
0
03 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
Kaijie Zhu
Jindong Wang
Xixu Hu
Xingxu Xie
G. Yang
AAML
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01 Aug 2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Matthew Barker
Emma Kallina
D. Ashok
Katherine M. Collins
Ashley Casovan
Adrian Weller
Ameet Talwalkar
Valerie Chen
Umang Bhatt
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28 Jul 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
Moon Ye-Bin
Jisoo Kim
Hong-Kyu Kim
Kilho Son
Tae-Hyun Oh
29
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27 Jul 2023
GIST: Generating Image-Specific Text for Fine-grained Object Classification
Kathleen M. Lewis
Emily Mu
Adrian V. Dalca
John Guttag
VLM
29
7
0
21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
30
6
0
20 Jul 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tianlin Liu
Stefano Soatto
LRM
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16 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
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48
0
16 Jul 2023
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
Muhammad Uzair Khattak
Syed Talal Wasim
Muzammal Naseer
Salman Khan
Ming Yang
F. Khan
VLM
23
166
0
13 Jul 2023
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani
Basil Mustafa
Josip Djolonga
Jonathan Heek
Matthias Minderer
...
Avital Oliver
Piotr Padlewski
A. Gritsenko
Mario Luvcić
N. Houlsby
ViT
23
105
0
12 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
24
6
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10 Jul 2023
Derivative Free Weight-space Ensembling
Dean Ninalga
MoMe
32
0
0
07 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini
Sachin Goyal
Zachary Chase Lipton
J. Zico Kolter
Aditi Raghunathan
VLM
42
33
0
06 Jul 2023
CoPL: Contextual Prompt Learning for Vision-Language Understanding
Koustava Goswami
Srikrishna Karanam
Prateksha Udhayanan
J. JosephK.
Balaji Vasan Srinivasan
VLM
26
8
0
03 Jul 2023
ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
Debaditya Roy
Dhruv Verma
Basura Fernando
VLM
CLIP
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4
0
02 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Uddeshya Upadhyay
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
MLLM
VLM
26
4
0
01 Jul 2023
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
MoMe
41
14
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29 Jun 2023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang
Tiancheng Zhao
Yulong Guo
Jianwei Yin
DiffM
VLM
32
52
0
20 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
16
5
0
19 Jun 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
Venkata Prabhakara Sarath Nookala
Gaurav Verma
Subhabrata Mukherjee
Srijan Kumar
ELM
60
6
0
19 Jun 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zhangyang Wang
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32
22
0
18 Jun 2023
Neural Priming for Sample-Efficient Adaptation
Matthew Wallingford
Vivek Ramanujan
Alex Fang
Aditya Kusupati
Roozbeh Mottaghi
Aniruddha Kembhavi
Ludwig Schmidt
Ali Farhadi
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108
13
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16 Jun 2023
Meta-Personalizing Vision-Language Models to Find Named Instances in Video
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Bryan C. Russell
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Fabian Caba Heilbron
Simon Jenni
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16 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang
Yifang Chen
Gregory H. Canal
Stephen Mussmann
Arnav M. Das
...
Yinglun Zhu
Jeffrey Bilmes
S. Du
Kevin G. Jamieson
Robert D. Nowak
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33
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Scaling Open-Vocabulary Object Detection
Matthias Minderer
A. Gritsenko
N. Houlsby
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16 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition
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Xudong Liu
Igor Gilitschenski
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10 Jun 2023
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Yanan Sun
Zi-Qi Zhong
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
VLM
33
4
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07 Jun 2023
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Nikhil Kandpal
Brian Lester
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Anisha Mascarenhas
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Vishal Baskaran
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Haokun Liu
Colin Raffel
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16
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0
07 Jun 2023
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu
Jindong Wang
Jiaheng Zhou
Zichen Wang
Hao Chen
...
Linyi Yang
Weirong Ye
Yue Zhang
Neil Zhenqiang Gong
Xingxu Xie
SILM
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144
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07 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
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Guillaume Couairon
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Corentin Dancette
Jean-Baptiste Gaya
Laure Soulier
Matthieu Cord
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35
136
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Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango
Fabio Ferreira
Arlind Kadra
Frank Hutter
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29
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Soft Merging of Experts with Adaptive Routing
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Revisiting the Role of Language Priors in Vision-Language Models
Zhiqiu Lin
Xinyue Chen
Deepak Pathak
Pengchuan Zhang
Deva Ramanan
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TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
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253
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Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
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CLL
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30 May 2023
Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of Weight Residuals
Simo Ryu
S. Seo
Jaejun Yoo
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Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
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Rodolphe Jenatton
Efi Kokiopoulou
VLM
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DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen
Zilin Zhu
Linqian Fan
Harry Zhang
Xinxiao Wu
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25 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue
Ali Payani
Yu Yang
Baharan Mirzasoleiman
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VIP5: Towards Multimodal Foundation Models for Recommendation
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Juntao Tan
Shuchang Liu
Zuohui Fu
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