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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
CLIPping the Deception: Adapting Vision-Language Models for Universal
  Deepfake Detection
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
Sohail Ahmed Khan
Duc-Tien Dang-Nguyen
VLM
35
21
0
20 Feb 2024
Model Composition for Multimodal Large Language Models
Model Composition for Multimodal Large Language Models
Chi Chen
Yiyang Du
Zheng Fang
Ziyue Wang
Fuwen Luo
...
Ming Yan
Ji Zhang
Fei Huang
Maosong Sun
Yang Liu
MoMe
26
3
0
20 Feb 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through
  Factorization
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
James Oldfield
Markos Georgopoulos
Grigorios G. Chrysos
Christos Tzelepis
Yannis Panagakis
M. Nicolaou
Jiankang Deng
Ioannis Patras
MoE
45
8
0
19 Feb 2024
The Revolution of Multimodal Large Language Models: A Survey
The Revolution of Multimodal Large Language Models: A Survey
Davide Caffagni
Federico Cocchi
Luca Barsellotti
Nicholas Moratelli
Sara Sarto
Lorenzo Baraldi
Lorenzo Baraldi
Marcella Cornia
Rita Cucchiara
LRM
VLM
56
41
0
19 Feb 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned
  Language Models through Task Arithmetic
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
Rishabh Bhardwaj
Do Duc Anh
Soujanya Poria
MoMe
50
36
0
19 Feb 2024
Towards Safer Large Language Models through Machine Unlearning
Towards Safer Large Language Models through Machine Unlearning
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
KELM
MU
29
72
0
15 Feb 2024
An Empirical Study Into What Matters for Calibrating Vision-Language
  Models
An Empirical Study Into What Matters for Calibrating Vision-Language Models
Weijie Tu
Weijian Deng
Dylan Campbell
Stephen Gould
Tom Gedeon
VLM
35
7
0
12 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu
Weijian Deng
Tom Gedeon
UQCV
VLM
20
32
0
12 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning
  Paradigm
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
Zhanpeng Zhou
Zijun Chen
Yilan Chen
Bo-Wen Zhang
Junchi Yan
MoMe
19
9
0
06 Feb 2024
Toward Human-AI Alignment in Large-Scale Multi-Player Games
Toward Human-AI Alignment in Large-Scale Multi-Player Games
Sugandha Sharma
Guy Davidson
Khimya Khetarpal
Anssi Kanervisto
Udit Arora
Katja Hofmann
Ida Momennejad
22
0
0
05 Feb 2024
Enhancing Compositional Generalization via Compositional Feature
  Alignment
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
40
1
0
05 Feb 2024
Image-Caption Encoding for Improving Zero-Shot Generalization
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yang Yu
Christopher Liao
Sathvik Ravi
Theodoros Tsiligkaridis
Brian Kulis
OODD
VLM
19
0
0
05 Feb 2024
Cross-modality debiasing: using language to mitigate sub-population
  shifts in imaging
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
Yijiang Pang
Hoang Bao
Jiayu Zhou
25
0
0
02 Feb 2024
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth
  observation data
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Chenhui Zhang
Sherrie Wang
32
19
0
31 Jan 2024
MResT: Multi-Resolution Sensing for Real-Time Control with
  Vision-Language Models
MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena
Mohit Sharma
Oliver Kroemer
34
4
0
25 Jan 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and
  Underperform Out-of-Distribution Robustness
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness
Mengyao Du
Miao Zhang
Yuwen Pu
Kai Xu
Shouling Ji
Quanjun Yin
35
1
0
25 Jan 2024
The Neglected Tails in Vision-Language Models
The Neglected Tails in Vision-Language Models
Shubham Parashar
Zhiqiu Lin
Tian Liu
Xiangjue Dong
Yanan Li
Deva Ramanan
James Caverlee
Shu Kong
VLM
40
33
0
23 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé
Nino Vieillard
Léonard Hussenot
Robert Dadashi
Geoffrey Cideron
Olivier Bachem
Johan Ferret
114
93
0
22 Jan 2024
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end
  Object Detection
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection
Yuantao Yin
Ping Yin
29
0
0
20 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
50
0
0
18 Jan 2024
Asynchronous Local-SGD Training for Language Modeling
Asynchronous Local-SGD Training for Language Modeling
Bo Liu
Rachita Chhaparia
Arthur Douillard
Satyen Kale
Andrei A. Rusu
Jiajun Shen
Arthur Szlam
MarcÁurelio Ranzato
FedML
40
10
0
17 Jan 2024
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal
  Data
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang
Elaine Sui
Serena Yeung-Levy
31
9
0
16 Jan 2024
Learning to Prompt Segment Anything Models
Learning to Prompt Segment Anything Models
Jiaxing Huang
Kai Jiang
Jingyi Zhang
Han Qiu
Lewei Lu
Shijian Lu
Eric P. Xing
VLM
LRM
48
7
0
09 Jan 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt
  Learning with Data-Dependent Prior
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Youngjae Cho
Heesun Bae
Seungjae Shin
Yeo Dong Youn
Weonyoung Joo
Il-Chul Moon
VLM
12
5
0
09 Jan 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial
  Robustness
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
Sibo Wang
Jie Zhang
Zheng Yuan
Shiguang Shan
VLM
36
18
0
09 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
54
2
0
06 Jan 2024
Improved Zero-Shot Classification by Adapting VLMs with Text
  Descriptions
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha
Grant Van Horn
Subhransu Maji
VLM
45
20
0
04 Jan 2024
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
Fan Liu
Tianshu Zhang
Wenwen Dai
Wenwen Cai
Wenwen Cai Xiaocong Zhou
Delong Chen
VLM
OffRL
31
23
0
03 Jan 2024
Black-Box Tuning of Vision-Language Models with Effective Gradient
  Approximation
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
Zixian Guo
Yuxiang Wei
Ming-Yu Liu
Zhilong Ji
Jinfeng Bai
Yiwen Guo
Wangmeng Zuo
VLM
31
8
0
26 Dec 2023
Prompt Valuation Based on Shapley Values
Prompt Valuation Based on Shapley Values
Hanxi Liu
Xiaokai Mao
Haocheng Xia
Jian Lou
Jinfei Liu
25
4
0
24 Dec 2023
Time is Encoded in the Weights of Finetuned Language Models
Time is Encoded in the Weights of Finetuned Language Models
Kai Nylund
Suchin Gururangan
Noah A. Smith
AI4TS
28
17
0
20 Dec 2023
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
26
27
0
20 Dec 2023
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
22
0
0
18 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse
  Training Data
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin
Reinhard Heckel
OOD
32
5
0
16 Dec 2023
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak
  Supervision
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Collin Burns
Pavel Izmailov
Jan Hendrik Kirchner
Bowen Baker
Leo Gao
...
Adrien Ecoffet
Manas Joglekar
Jan Leike
Ilya Sutskever
Jeff Wu
ELM
50
258
0
14 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners
Weighted Ensemble Models Are Strong Continual Learners
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
16
0
14 Dec 2023
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
Yi Xin
Junlong Du
Qiang Wang
Ke Yan
Shouhong Ding
VLM
44
45
0
14 Dec 2023
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
Mohammad-Javad Davari
Eugene Belilovsky
MoMe
40
56
0
11 Dec 2023
MAFA: Managing False Negatives for Vision-Language Pre-training
MAFA: Managing False Negatives for Vision-Language Pre-training
Jaeseok Byun
Dohoon Kim
Taesup Moon
VLM
13
4
0
11 Dec 2023
Merging by Matching Models in Task Parameter Subspaces
Merging by Matching Models in Task Parameter Subspaces
Derek Tam
Mohit Bansal
Colin Raffel
MoMe
21
10
0
07 Dec 2023
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for
  General Video Recognition
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
Tom Tongjia Chen
Hongshan Yu
Zhengeng Yang
Zechuan Li
Wei Sun
Chen Chen
20
8
0
30 Nov 2023
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Rohan Myer Krishnan
Zitian Tang
Zhiqiu Yu
Chen Sun
53
1
0
30 Nov 2023
A Simple Recipe for Language-guided Domain Generalized Segmentation
A Simple Recipe for Language-guided Domain Generalized Segmentation
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
23
14
0
29 Nov 2023
Efficient Stitchable Task Adaptation
Efficient Stitchable Task Adaptation
Haoyu He
Zizheng Pan
Jing Liu
Jianfei Cai
Bohan Zhuang
31
3
0
29 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
CLIP
VLM
31
5
0
28 Nov 2023
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot
  Learning
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
G. Lioi
Lukas Mauch
Fabien Cardinaux
G. B. Hacene
26
0
0
24 Nov 2023
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Shitao Xiao
Zheng Liu
Peitian Zhang
Xingrun Xing
MoMe
KELM
94
24
0
22 Nov 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via
  Sparsification and Quantization
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Prateek Yadav
Leshem Choshen
Colin Raffel
Mohit Bansal
32
13
0
22 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
49
5
0
21 Nov 2023
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