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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
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
40
0
0
12 May 2025
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Congqi Cao
Peiheng Han
Y. Zhang
Yating Yu
Qinyi Lv
Lingtong Min
Yanning Zhang
VLM
45
0
0
09 May 2025
A Model Zoo on Phase Transitions in Neural Networks
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schurholt
Léo Meynent
Yefan Zhou
Haiquan Lu
Yaoqing Yang
Damian Borth
68
0
0
25 Apr 2025
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
ParamΔΔΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Sheng Cao
Mingrui Wu
Karthik Prasad
Yuandong Tian
Zechun Liu
MoMe
80
0
0
23 Apr 2025
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee
Jinwook Jung
Sungyong Baik
MoMe
40
0
0
20 Apr 2025
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Guoyi Zhang
Siyang Chen
Guangsheng Xu
Han Wang
Xiaohu Zhang
34
0
0
20 Apr 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Yongqian Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
41
0
0
19 Apr 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
Rui Dai
Sile Hu
Xu Shen
Yonggang Zhang
Xinmei Tian
Jieping Ye
MoMe
49
2
0
15 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hongkang Li
Yihua Zhang
Shuai Zhang
Hao Wu
Sijia Liu
Pin-Yu Chen
MoMe
69
3
0
15 Apr 2025
Weight Ensembling Improves Reasoning in Language Models
Weight Ensembling Improves Reasoning in Language Models
Xingyu Dang
Christina Baek
Kaiyue Wen
Zico Kolter
Aditi Raghunathan
MoMe
LRM
63
1
0
14 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning
The Impact of Model Zoo Size and Composition on Weight Space Learning
Damian Falk
Konstantin Schurholt
Damian Borth
36
0
0
14 Apr 2025
A Model Zoo of Vision Transformers
A Model Zoo of Vision Transformers
Damian Falk
Léo Meynent
Florence Pfammatter
Konstantin Schurholt
Damian Borth
34
0
0
14 Apr 2025
MASS: MoErging through Adaptive Subspace Selection
MASS: MoErging through Adaptive Subspace Selection
Donato Crisostomi
Alessandro Zirilli
Antonio Andrea Gargiulo
Maria Sofia Bucarelli
Simone Scardapane
Fabrizio Silvestri
Iacopo Masi
Emanuele Rodolà
MoMe
40
0
0
06 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
OOD
38
0
0
03 Apr 2025
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
Reza Qorbani
Gianluca Villani
Theodoros Panagiotakopoulos
Marc Botet Colomer
Linus Harenstam-Nielsen
...
Pier Luigi Dovesi
Jussi Karlgren
Daniel Cremers
F. Tombari
Matteo Poggi
VLM
52
0
0
27 Mar 2025
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
Hao Fu
Hanbin Zhao
Jiahua Dong
Chao Zhang
Hui Qian
CLL
VLM
91
0
0
26 Mar 2025
Efficient Model Development through Fine-tuning Transfer
Efficient Model Development through Fine-tuning Transfer
Pin-Jie Lin
Rishab Balasubramanian
Fengyuan Liu
Nikhil Kandpal
Tu Vu
64
0
0
25 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
Xiaofeng Mao
YueFeng Chen
Rong Zhang
Hui Xue
Zhao Li
Hang Su
AAML
VLM
43
0
0
21 Mar 2025
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
76
1
0
19 Mar 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Xingxuan Zhang
Haoran Wang
Jiansheng Li
Yuan Xue
Shikai Guan
Renzhe Xu
Hao Zou
Han Yu
Peng Cui
50
0
0
19 Mar 2025
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
Matteo Farina
Massimiliano Mancini
Giovanni Iacca
Elisa Ricci
VLM
57
0
0
14 Mar 2025
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Zecheng Zhao
Zhi Chen
Zi-Rui Huang
S. Sadiq
Tong Chen
36
0
0
13 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Y. Li
Linghe Kong
Weiran Huang
CLL
VLM
167
0
0
12 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
Hanwang Zhang
Chi Zhang
85
0
0
12 Mar 2025
Towards Robust Model Evolution with Algorithmic Recourse
Hao-Tsung Yang
Jie Gao
Bo-Yi Liu
Zhi-Xuan Liu
48
0
0
12 Mar 2025
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
69
0
0
11 Mar 2025
Task Vector Quantization for Memory-Efficient Model Merging
Youngeun Kim
Seunghwan Lee
Aecheon Jung
Bogon Ryu
Sungeun Hong
MQ
MoMe
54
0
0
10 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
59
0
0
09 Mar 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
139
0
0
07 Mar 2025
Understanding the Limits of Lifelong Knowledge Editing in LLMs
Lukas Thede
Karsten Roth
Matthias Bethge
Zeynep Akata
Tom Hartvigsen
KELM
CLL
75
2
0
07 Mar 2025
Robust Learning of Diverse Code Edits
Robust Learning of Diverse Code Edits
Tushar Aggarwal
Swayam Singh
Abhijeet Awasthi
Aditya Kanade
Nagarajan Natarajan
SyDa
157
0
0
05 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMe
FedML
93
0
0
03 Mar 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Yating Yu
Congqi Cao
Yifan Zhang
Yanning Zhang
VLM
43
0
0
27 Feb 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
Sequence-level Large Language Model Training with Contrastive Preference Optimization
Zhili Feng
Dhananjay Ram
Cole Hawkins
Aditya Rawal
Jinman Zhao
Sheng Zha
62
0
0
23 Feb 2025
Model-agnostic Coreset Selection via LLM-based Concept Bottlenecks
Akshay Mehra
Trisha Mittal
Subhadra Gopalakrishnan
Joshua Kimball
45
0
0
23 Feb 2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
Yuheng Ji
Yue Liu
Zhicheng Zhang
Zhao Zhang
Yuting Zhao
Gang Zhou
Xingwei Zhang
Xinwang Liu
Xiaolong Zheng
VLM
113
4
0
21 Feb 2025
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
Chengyue Huang
Junjiao Tian
Brisa Maneechotesuwan
Shivang Chopra
Z. Kira
54
0
0
21 Feb 2025
Robust Concept Erasure Using Task Vectors
Robust Concept Erasure Using Task Vectors
Minh Pham
Kelly O. Marshall
Chinmay Hegde
Niv Cohen
120
17
0
21 Feb 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
48
0
0
28 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Yunhong Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
83
3
0
17 Jan 2025
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
Alejandro Lozano
M. W. Sun
James Burgess
Liangyu Chen
Jeffrey Nirschl
...
Xiaohan Wang
Yuhui Zhang
Alfred Seunghoon Song
Robert Tibshirani
Serena Yeung-Levy
LM&MA
VLM
MedIm
68
8
0
13 Jan 2025
Soup to go: mitigating forgetting during continual learning with model averaging
Soup to go: mitigating forgetting during continual learning with model averaging
Anat Kleiman
Gintare Karolina Dziugaite
Jonathan Frankle
Sham Kakade
Mansheej Paul
MoMe
CLL
KELM
58
0
0
09 Jan 2025
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Yifei He
Yuzheng Hu
Yong Lin
Tong Zhang
Han Zhao
FedML
MoMe
65
18
0
08 Jan 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Zhongyi Zhou
Yaxin Peng
Pin Yi
Minjie Zhu
Chaomin Shen
136
0
0
04 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
68
6
0
03 Jan 2025
Parameter-Efficient Interventions for Enhanced Model Merging
Parameter-Efficient Interventions for Enhanced Model Merging
Marcin Osial
Daniel Marczak
Bartosz Zieliñski
MoMe
84
1
0
22 Dec 2024
Non-Uniform Parameter-Wise Model Merging
Non-Uniform Parameter-Wise Model Merging
Albert Manuel Orozco Camacho
Stefan Horoi
Guy Wolf
Eugene Belilovsky
MoMe
FedML
90
0
0
20 Dec 2024
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality
Qitong Wang
Tang Li
Kien X. Nguyen
Xi Peng
85
0
0
17 Dec 2024
A LoRA is Worth a Thousand Pictures
A LoRA is Worth a Thousand Pictures
Chenxi Liu
Towaki Takikawa
Alec Jacobson
DiffM
OffRL
79
2
0
16 Dec 2024
Attention Head Purification: A New Perspective to Harness CLIP for
  Domain Generalization
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
Yingfan Wang
Guoliang Kang
VLM
82
0
0
10 Dec 2024
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