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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
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models
  with Prompt Ensembling
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
Donggeun Kim
Yujin Jo
Myungjoo Lee
Taesup Kim
VLM
78
0
0
10 Dec 2024
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
98
3
0
09 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
VLM
KELM
CLL
88
3
0
01 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
ZeLin Li
Ricardo Silva
N. Zhang
71
0
0
29 Nov 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao
I. Mason
Sanjeev R. Kulkarni
Xavier Boix
MoMe
FedML
84
3
0
27 Nov 2024
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot
  Cross-modal Retrieval
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval
Jingyou Xie
Jiayi Kuang
Zhenzhou Lin
Jiarui Ouyang
Zishuo Zhao
Ying Shen
VLM
CLIP
69
0
0
26 Nov 2024
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Shambhavi Mishra
Julio Silva-Rodrıguez
Ismail ben Ayed
M. Pedersoli
Jose Dolz
VLM
82
1
0
26 Nov 2024
Beyond Task Vectors: Selective Task Arithmetic Based on Importance
  Metrics
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics
Tian Bowen
Lai Songning
Wu Jiemin
Shuai Zhihao
Ge Shiming
Yue Yutao
MoMe
70
4
0
25 Nov 2024
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
Anxhelo Diko
Antonino Furnari
Luigi Cinque
G. Farinella
95
0
0
23 Nov 2024
Improving OOD Generalization of Pre-trained Encoders via Aligned
  Embedding-Space Ensembles
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
Shuman Peng
Arash Khoeini
Sharan Vaswani
Martin Ester
70
0
0
20 Nov 2024
Joint Vision-Language Social Bias Removal for CLIP
Joint Vision-Language Social Bias Removal for CLIP
Haoyu Zhang
Yangyang Guo
Mohan S. Kankanhalli
VLM
67
0
0
19 Nov 2024
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text
  Embeddings Must Adapt
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
Peter Anderson
Mano Vikash Janardhanan
Jason He
Wei Cheng
Charlie Flanagan
RALM
37
3
0
11 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Robust Fine-tuning of Zero-shot Models via Variance Reduction
B. Zhu
Jiequan Cui
H. Zhang
VLM
OODD
43
1
0
11 Nov 2024
Maximizing domain generalization in fetal brain tissue segmentation: the
  role of synthetic data generation, intensity clustering and real image
  fine-tuning
Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
OOD
48
1
0
11 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned
  Vision-Language Models
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
Maya Varma
Jean-Benoit Delbrouck
Zhihong Chen
Akshay S. Chaudhari
C. Langlotz
VLM
46
6
0
06 Nov 2024
Aligning Characteristic Descriptors with Images for Human-Expert-like
  Explainability
Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability
Bharat Yalavarthi
N. Ratha
35
0
0
06 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Junjiao Tian
Chengyue Huang
Z. Kira
36
1
0
03 Nov 2024
Black-Box Forgetting
Black-Box Forgetting
Yusuke Kuwana
Yuta Goto
Takashi Shibata
Go Irie
CLL
MU
VLM
28
0
0
01 Nov 2024
Model merging with SVD to tie the Knots
Model merging with SVD to tie the Knots
George Stoica
Pratik Ramesh
B. Ecsedi
Leshem Choshen
Judy Hoffman
MoMe
36
9
0
25 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution
  Learning and Bias Correcting
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
Hanwang Zhang
VLM
VPVLM
32
1
0
25 Oct 2024
In Search of the Successful Interpolation: On the Role of Sharpness in
  CLIP Generalization
In Search of the Successful Interpolation: On the Role of Sharpness in CLIP Generalization
Alireza Abdollahpoorrostam
23
0
0
21 Oct 2024
CLIP-VAD: Exploiting Vision-Language Models for Voice Activity Detection
CLIP-VAD: Exploiting Vision-Language Models for Voice Activity Detection
Andrea Appiani
Cigdem Beyan
CLIP
VLM
28
0
0
18 Oct 2024
Fine-Tuning Pre-trained Language Models for Robust Causal Representation
  Learning
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning
Jialin Yu
Yuxiang Zhou
Yulan He
Nevin L. Zhang
Ricardo Silva
33
0
0
18 Oct 2024
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning
  via Image-Guided Diffusion
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion
Yijun Liang
Shweta Bhardwaj
Dinesh Manocha
45
0
0
17 Oct 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model
  Merging
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
Jacob Morrison
Noah A. Smith
Hannaneh Hajishirzi
Pang Wei Koh
Jesse Dodge
Pradeep Dasigi
KELM
MoMe
CLL
39
1
0
16 Oct 2024
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm
  Intelligence
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng
Zifeng Wang
Yike Wang
Sayna Ebrahimi
Hamid Palangi
...
Nathalie Rauschmayr
Yejin Choi
Yulia Tsvetkov
Chen-Yu Lee
Tomas Pfister
MoMe
35
3
0
15 Oct 2024
Large Model for Small Data: Foundation Model for Cross-Modal RF Human
  Activity Recognition
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
Yuxuan Weng
Guoquan Wu
Tianyue Zheng
Yanbing Yang
Jun Luo
21
5
0
13 Oct 2024
Debiasing Vison-Language Models with Text-Only Training
Debiasing Vison-Language Models with Text-Only Training
Yunfan Yang
Chaoquan Jiang
Zhiyu Lin
Jinlin Xiao
Jiaming Zhang
Jitao Sang
VLM
28
1
0
12 Oct 2024
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
Anh-Quan Cao
M. Jaritz
Matthieu Guillaumin
Raoul de Charette
Loris Bazzani
VLM
CLIP
49
2
0
10 Oct 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series
  OOD Generalization
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian
Kai Yang
Yang Jiao
AI4TS
34
3
0
09 Oct 2024
Diversity-Rewarded CFG Distillation
Diversity-Rewarded CFG Distillation
Geoffrey Cideron
A. Agostinelli
Johan Ferret
Sertan Girgin
Romuald Elie
Olivier Bachem
Sarah Perrin
Alexandre Ramé
39
2
0
08 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
28
1
0
08 Oct 2024
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
Bowen Tian
Songning Lai
Yutao Yue
MoMe
30
0
0
08 Oct 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving
  Vision-Linguistic Compositionality
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
In So Kweon
Junmo Kim
VLM
CoGe
CLIP
27
4
0
07 Oct 2024
What Matters for Model Merging at Scale?
What Matters for Model Merging at Scale?
Prateek Yadav
Tu Vu
Jonathan Lai
Alexandra Chronopoulou
Manaal Faruqui
Joey Tianyi Zhou
Tsendsuren Munkhdalai
MoMe
46
15
0
04 Oct 2024
MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection
MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection
Niki Nezakati
Md Kaykobad Reza
Ameya Patil
Mashhour Solh
M. Salman Asif
27
1
0
03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for
  Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Yixuan Li
Hongxin Wei
VLM
51
2
0
03 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
24
1
0
03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OOD
MoMe
45
4
0
03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP Models
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
38
5
0
02 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
24
2
0
01 Oct 2024
Unleashing the Potentials of Likelihood Composition for Multi-modal
  Language Models
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
Shitian Zhao
Renrui Zhang
Xu Luo
Yan Wang
Shanghang Zhang
Peng Gao
18
0
0
01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
Heeseong Shin
Chaehyun Kim
Sunghwan Hong
Seokju Cho
Anurag Arnab
Paul Hongsuck Seo
Seungryong Kim
VLM
34
1
0
30 Sep 2024
Realistic Evaluation of Model Merging for Compositional Generalization
Realistic Evaluation of Model Merging for Compositional Generalization
Derek Tam
Yash Kant
Brian Lester
Igor Gilitschenski
Colin Raffel
MoMe
35
6
0
26 Sep 2024
Layer-wise Model Merging for Unsupervised Domain Adaptation in
  Segmentation Tasks
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
Roberto Alcover-Couso
Juan C. Sanmiguel
Marcos Escudero-Viñolo
Jose M. Martínez
FedML
MoMe
28
1
0
24 Sep 2024
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
Guoyang Zhao
Fulong Ma
Weiqing Qi
Chenguang Zhang
Yuxuan Liu
Ming Liu
Jun Ma
VLM
CLIP
117
3
0
23 Sep 2024
LARE: Latent Augmentation using Regional Embedding with Vision-Language
  Model
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model
Kosuke Sakurai
Tatsuya Ishii
Ryotaro Shimizu
Linxin Song
Masayuki Goto
VLM
26
0
0
19 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong
Pan Zhou
W. Zuo
VLM
39
0
0
17 Sep 2024
Finetuning CLIP to Reason about Pairwise Differences
Finetuning CLIP to Reason about Pairwise Differences
Dylan Sam
Devin Willmott
João Dias Semedo
J. Zico Kolter
VLM
71
3
0
15 Sep 2024
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