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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
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
J. Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
43
44
0
20 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring
  the Web
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web
Ameya Prabhu
Hasan Hammoud
Ser-Nam Lim
Guohao Li
Philip H. S. Torr
Adel Bibi
CLL
127
9
0
19 Nov 2023
Towards Robust and Accurate Visual Prompting
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLM
VLM
29
3
0
18 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
42
16
0
15 Nov 2023
Domain Aligned CLIP for Few-shot Classification
Domain Aligned CLIP for Few-shot Classification
Muhammad Waleed Gondal
Jochen Gast
Inigo Alonso Ruiz
Richard Droste
Tommaso Macri
Suren Kumar
Luitpold Staudigl
VLM
21
11
0
15 Nov 2023
DiLoCo: Distributed Low-Communication Training of Language Models
DiLoCo: Distributed Low-Communication Training of Language Models
Arthur Douillard
Qixuang Feng
Andrei A. Rusu
Rachita Chhaparia
Yani Donchev
A. Kuncoro
MarcÁurelio Ranzato
Arthur Szlam
Jiajun Shen
58
31
0
14 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative
  Parameter Alignment
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
FedML
36
2
0
08 Nov 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
Cheng Cheng
Lin Song
Ruoyi Xue
Hang Wang
Hongbin Sun
Yixiao Ge
Ying Shan
VLM
ObjD
39
18
0
07 Nov 2023
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Kevin Vogt-Lowell
Noah Lee
Theodoros Tsiligkaridis
Marc Vaillant
VLM
37
4
0
03 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
27
13
0
03 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
3
0
02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain
  Generalization Algorithms
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
35
1
0
02 Nov 2023
Harvest Video Foundation Models via Efficient Post-Pretraining
Harvest Video Foundation Models via Efficient Post-Pretraining
Yizhuo Li
Kunchang Li
Yinan He
Yi Wang
Yali Wang
Limin Wang
Yu Qiao
Ping Luo
CLIP
VLM
VGen
51
2
0
30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning
Fast Trainable Projection for Robust Fine-Tuning
Junjiao Tian
Yen-Cheng Liu
James Seale Smith
Z. Kira
OOD
33
11
0
29 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
24
11
0
26 Oct 2023
Exploring Question Decomposition for Zero-Shot VQA
Exploring Question Decomposition for Zero-Shot VQA
Zaid Khan
B. Vijaykumar
S. Schulter
Manmohan Chandraker
Yun Fu
ReLM
17
10
0
25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLM
CLIP
31
27
0
24 Oct 2023
Knowledge Editing for Large Language Models: A Survey
Knowledge Editing for Large Language Models: A Survey
Song Wang
Yaochen Zhu
Haochen Liu
Zaiyi Zheng
Chen Chen
Wenlin Yao
KELM
71
133
0
24 Oct 2023
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial
  Understanding
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Mehrdad Farajtabar
Sachin Mehta
Mohammad Rastegari
Oncel Tuzel
Hadi Pouransari
VLM
32
67
0
23 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained
  Models in Few-Shot Learning
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song
Huimin Ma
Bochao Zou
Huishuai Zhang
Weiran Huang
18
10
0
23 Oct 2023
Model Merging by Uncertainty-Based Gradient Matching
Model Merging by Uncertainty-Based Gradient Matching
Nico Daheim
Thomas Möllenhoff
E. Ponti
Iryna Gurevych
Mohammad Emtiyaz Khan
MoMe
FedML
32
43
0
19 Oct 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models
  with Hypernetwork Prompt
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt
Gangwei Jiang
Caigao Jiang
Siqiao Xue
James Y. Zhang
Junqing Zhou
Defu Lian
Ying Wei
VLM
32
7
0
19 Oct 2023
Domain Generalization Using Large Pretrained Models with
  Mixture-of-Adapters
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
Gyuseong Lee
Wooseok Jang
Jin Hyeon Kim
Jaewoo Jung
Seungryong Kim
MoE
OOD
30
2
0
17 Oct 2023
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language
  Models
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Sreyan Ghosh
Ashish Seth
Sonal Kumar
Utkarsh Tyagi
Chandra Kiran Reddy Evuru
S. Ramaneswaran
S. Sakshi
Oriol Nieto
R. Duraiswami
Dinesh Manocha
AuLLM
VLM
CoGe
35
21
0
12 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
27
4
0
12 Oct 2023
Leveraging Vision-Language Models for Improving Domain Generalization in
  Image Classification
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
Sravanti Addepalli
Ashish Ramayee Asokan
Lakshay Sharma
R. V. Babu
VLM
24
15
0
12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing
  Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
30
21
0
12 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
41
0
0
10 Oct 2023
Augmented Embeddings for Custom Retrievals
Augmented Embeddings for Custom Retrievals
Anirudh Khatry
Yasharth Bajpai
Priyanshu Gupta
Sumit Gulwani
Ashish Tiwari
RALM
20
1
0
09 Oct 2023
Building an Open-Vocabulary Video CLIP Model with Better Architectures,
  Optimization and Data
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data
Zuxuan Wu
Zejia Weng
Wujian Peng
Xitong Yang
Ang Li
Larry S. Davis
Yu-Gang Jiang
CLIP
VLM
36
21
0
08 Oct 2023
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following
  and Model Alignment in New Languages
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages
Shih-Cheng Huang
Pin-Zu Li
Yu-Chi Hsu
Kuang-Ming Chen
Yu Tung Lin
Shih-Kai Hsiao
Richard Tzong-Han Tsai
Hung-yi Lee
MoMe
34
13
0
07 Oct 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Anke Tang
Li Shen
Yong Luo
Yibing Zhan
Han Hu
Bo Du
Yixin Chen
Dacheng Tao
MoMe
26
30
0
07 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in
  Federated Prompt Tuning
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins
Shanshan Wu
Sewoong Oh
K. Sim
FedML
34
9
0
06 Oct 2023
Robust Multimodal Learning with Missing Modalities via
  Parameter-Efficient Adaptation
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
Md Kaykobad Reza
Ashley Prater-Bennette
M. Salman Asif
28
5
0
06 Oct 2023
Understanding prompt engineering may not require rethinking
  generalization
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande
Yiding Jiang
Dylan Sam
J. Zico Kolter
VLM
VPVLM
123
7
0
06 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection
OpenPatch: a 3D patchwork for Out-Of-Distribution detection
Paolo Rabino
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
24
1
0
05 Oct 2023
A simple connection from loss flatness to compressed neural representations
A simple connection from loss flatness to compressed neural representations
Shirui Chen
Stefano Recanatesi
E. Shea-Brown
15
0
0
03 Oct 2023
SYRAC: Synthesize, Rank, and Count
SYRAC: Synthesize, Rank, and Count
Adrian dÁlessandro
Ali Mahdavi-Amiri
Ghassan Hamarneh
DiffM
33
1
0
02 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
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
21
149
0
29 Sep 2023
Spurious Feature Diversification Improves Out-of-distribution
  Generalization
Spurious Feature Diversification Improves Out-of-distribution Generalization
Yong Lin
Lu Tan
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
OODD
30
24
0
29 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen
Jindong Wang
Ankit Shah
Ran Tao
Hongxin Wei
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
29
26
0
29 Sep 2023
Deep Model Fusion: A Survey
Deep Model Fusion: A Survey
Weishi Li
Yong Peng
Miao Zhang
Liang Ding
Han Hu
Li Shen
FedML
MoMe
33
52
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
43
6
0
26 Sep 2023
Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia
  Classifiers with a Multilingual Understanding
Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding
Dean Ninalga
29
2
0
24 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained Models
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OOD
VLM
20
3
0
14 Sep 2023
Mitigating the Alignment Tax of RLHF
Mitigating the Alignment Tax of RLHF
Yong Lin
Hangyu Lin
Wei Xiong
Shizhe Diao
Zeming Zheng
...
Han Zhao
Nan Jiang
Heng Ji
Yuan Yao
Tong Zhang
MoMe
CLL
29
67
0
12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language Models
Language Models as Black-Box Optimizers for Vision-Language Models
Shihong Liu
Zhiqiu Lin
Samuel Yu
Ryan Lee
Tiffany Ling
Deepak Pathak
Deva Ramanan
VLM
27
28
0
12 Sep 2023
OpenFashionCLIP: Vision-and-Language Contrastive Learning with
  Open-Source Fashion Data
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data
Giuseppe Cartella
Alberto Baldrati
Davide Morelli
Marcella Cornia
Marco Bertini
Rita Cucchiara
VLM
CLIP
27
7
0
11 Sep 2023
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot
  Anomaly Localization
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
Hanqiu Deng
Zhaoxiang Zhang
Jinan Bao
Xingyu Li
VLM
30
4
0
30 Aug 2023
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