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Robust fine-tuning of zero-shot models

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"

50 / 514 papers shown
Title
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi-Hua Zhou
Ming Yang
Jiang-Xin Shi
Lan-Zhe Guo
Yu-Feng Li
OODD
VLM
34
4
0
01 Jun 2024
Language Augmentation in CLIP for Improved Anatomy Detection on
  Multi-modal Medical Images
Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images
Mansi Kakkar
D. Shanbhag
Chandan Aladahalli
M. GurunathReddy
VLM
LM&MA
MedIm
31
2
0
31 May 2024
Weights Augmentation: it has never ever ever ever let her model down
Weights Augmentation: it has never ever ever ever let her model down
Junbin Zhuang
Guiguang Din
Yunyi Yan
35
1
0
30 May 2024
Low-Rank Few-Shot Adaptation of Vision-Language Models
Low-Rank Few-Shot Adaptation of Vision-Language Models
Maxime Zanella
Ismail Ben Ayed
OffRL
VLM
53
26
0
28 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in
  Single-Source Domain Generalization
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Jiawei Ma
Yulei Niu
Shiyuan Huang
G. Han
Shih-Fu Chang
VLM
42
1
0
28 May 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For
  Domain-Specific LLMs
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
Chengyuan Liu
Shihang Wang
Yangyang Kang
Lizhi Qing
Fubang Zhao
Changlong Sun
Kun Kuang
Fei Wu
ELM
AILaw
CLL
19
6
0
28 May 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Chia-Yi Hsu
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
46
32
0
27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
55
9
0
27 May 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang
Kuan Tian
Yonghang Guan
Jun Zhang
Zhiwei Jiang
Fei Shen
Xiao Han
44
5
0
27 May 2024
Feature Protection For Out-of-distribution Generalization
Feature Protection For Out-of-distribution Generalization
Lu Tan
Huei Zhou
Yinxiang Huang
Zeming Zheng
Yujiu Yang
OODD
46
0
0
25 May 2024
Pre-Trained Vision-Language Models as Partial Annotators
Pre-Trained Vision-Language Models as Partial Annotators
Qian-Wei Wang
Yuqiu Xie
Letian Zhang
Zimo Liu
Shu-Tao Xia
VLM
38
2
0
23 May 2024
Learning More Generalized Experts by Merging Experts in
  Mixture-of-Experts
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Sejik Park
FedML
CLL
MoMe
32
5
0
19 May 2024
Localizing Task Information for Improved Model Merging and Compression
Localizing Task Information for Improved Model Merging and Compression
Ke Wang
Nikolaos Dimitriadis
Guillermo Ortiz-Jimenez
Franccois Fleuret
Pascal Frossard
MoMe
33
46
0
13 May 2024
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic
  Segmentation
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation
Zhibo Zhang
Ximing Yang
Weizhong Zhang
Cheng Jin
35
0
0
07 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
39
7
0
05 May 2024
On the test-time zero-shot generalization of vision-language models: Do
  we really need prompt learning?
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Maxime Zanella
Ismail Ben Ayed
VLM
MLLM
50
23
0
03 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a
  Multimodal Perspective
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
Wanqi Zhou
Shuanghao Bai
Qibin Zhao
Badong Chen
VLM
AAML
44
5
0
30 Apr 2024
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
Guillaume Astruc
Nicolas Dufour
Ioannis Siglidis
Constantin Aronssohn
Nacim Bouia
...
Charles Raude
Elliot Vincent
Lintao Xu
Hongyu Zhou
Loic Landrieu
34
6
0
29 Apr 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
Zhibo Zhang
Ximing Yang
Weizhong Zhang
Cheng Jin
3DPC
41
1
0
25 Apr 2024
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
37
5
0
24 Apr 2024
Optimization of Prompt Learning via Multi-Knowledge Representation for
  Vision-Language Models
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models
Enming Zhang
Bingke Zhu
Yingying Chen
Qinghai Miao
Ming Tang
Jinqiao Wang
VLM
41
0
0
16 Apr 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for
  Supervised Fine-tuning Large Language Model
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
Hengyuan Zhang
Yanru Wu
Dawei Li
Zacc Yang
Rui Zhao
Yong Jiang
Fei Tan
ALM
32
0
0
16 Apr 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for
  Hybrid Domain Generalization
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen
Weiqiu Wang
Zhicheng Zhao
Fei Su
Aidong Men
Hongying Meng
VLM
37
7
0
13 Apr 2024
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient
  Federated Learning
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
Duy Phuong Nguyen
J. P. Muñoz
Ali Jannesari
VLM
31
6
0
12 Apr 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning
  Models
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati
Minh Pham
Nasla Saleem
Joshua R. Waite
Aditya Balu
Zhanhong Jiang
Chinmay Hegde
Soumik Sarkar
MoMe
45
1
0
11 Apr 2024
Scaling Laws for Data Filtering -- Data Curation cannot be Compute
  Agnostic
Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
Sachin Goyal
Pratyush Maini
Zachary Chase Lipton
Aditi Raghunathan
J. Zico Kolter
56
41
0
10 Apr 2024
Anchor-based Robust Finetuning of Vision-Language Models
Anchor-based Robust Finetuning of Vision-Language Models
Jinwei Han
Zhiwen Lin
Zhongyi Sun
Yingguo Gao
Ke Yan
Shouhong Ding
Yuan Gao
Gui-Song Xia
VLM
71
6
0
09 Apr 2024
Predicting the Performance of Foundation Models via
  Agreement-on-the-Line
Predicting the Performance of Foundation Models via Agreement-on-the-Line
Aman Mehra
Rahul Saxena
Taeyoun Kim
Christina Baek
Zico Kolter
Aditi Raghunathan
UQCV
43
1
0
02 Apr 2024
Modality Translation for Object Detection Adaptation Without Forgetting
  Prior Knowledge
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
H. R. Medeiros
Masih Aminbeidokhti
F. Guerrero-Peña
David Latortue
Eric Granger
M. Pedersoli
VLM
45
2
0
01 Apr 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning
  Pre-trained Models
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
Yuxin Wen
Leo Marchyok
Sanghyun Hong
Jonas Geiping
Tom Goldstein
Nicholas Carlini
SILM
AAML
36
9
0
01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
39
5
0
01 Apr 2024
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLM
VPVLM
47
14
0
01 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
Model Stock: All we need is just a few fine-tuned models
Model Stock: All we need is just a few fine-tuned models
Dong-Hwan Jang
Sangdoo Yun
Dongyoon Han
OODD
MoMe
32
38
0
28 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha
Dong Gong
Lina Yao
CLIP
VLM
33
8
0
28 Mar 2024
On the Benefits of Over-parameterization for Out-of-Distribution
  Generalization
On the Benefits of Over-parameterization for Out-of-Distribution Generalization
Yifan Hao
Yong Lin
Difan Zou
Tong Zhang
OODD
OOD
42
4
0
26 Mar 2024
Dual Memory Networks: A Versatile Adaptation Approach for
  Vision-Language Models
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
Yabin Zhang
Wen-Qing Zhu
Hui Tang
Zhiyuan Ma
Kaiyang Zhou
Lei Zhang
VLM
31
21
0
26 Mar 2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained
  Devices
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
Yushan Huang
Josh Millar
Yuxuan Long
Yuchen Zhao
Hamed Haddadi
41
0
0
23 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in
  RKHSs
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Sepehr Dehdashtian
Lan Wang
Vishnu Naresh Boddeti
VLM
39
11
0
22 Mar 2024
Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing
Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing
Alberto Baldrati
Davide Morelli
Marcella Cornia
Marco Bertini
Rita Cucchiara
DiffM
62
8
0
21 Mar 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLM
KELM
CLL
OODD
110
70
0
18 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data
  in Text-Image Encoders
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng
Pin-Yu Chen
OODD
19
0
0
16 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained
  Detectors
Efficient Transferability Assessment for Selection of Pre-trained Detectors
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
32
0
0
14 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for
  Continual Learning on Vision-Language Models
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu
Chi-Pin Huang
Jr-Jen Chen
Kai-Po Chang
Yung-Hsuan Lai
Fu-En Yang
Yu-Chiang Frank Wang
CLL
VLM
42
7
0
14 Mar 2024
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with
  Ground Truth Flow
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
Chenbin Pan
Burhaneddin Yaman
Senem Velipasalar
Liu Ren
51
10
0
13 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
37
1
0
13 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
31
4
0
08 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
44
1
0
01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You
Ask Your Distribution Shift if Pre-Training is Right for You
Benjamin Cohen-Wang
Joshua Vendrow
Aleksander Madry
OOD
29
3
0
29 Feb 2024
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