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Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution

Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

21 February 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
    OODD
ArXiv (abs)PDFHTML

Papers citing "Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution"

50 / 492 papers shown
Title
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
VLMOOD
96
10
0
05 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated
  Neural Networks
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn
Pablo Olmos
99
1
0
02 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable
Haozhe Liu
Wentian Zhang
Bing Li
Bernard Ghanem
Jürgen Schmidhuber
DiffMWIGMAAML
81
1
0
01 May 2024
Transitive Vision-Language Prompt Learning for Domain Generalization
Transitive Vision-Language Prompt Learning for Domain Generalization
Liyuan Wang
Yan Jin
Zhen Chen
Jinlin Wu
Mengke Li
Yang Lu
Hanzi Wang
VLMVPVLMLRM
117
0
0
29 Apr 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
116
5
0
28 Apr 2024
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
Yifan Jiang
Filip Ilievski
Kaixin Ma
LRM
112
30
0
22 Apr 2024
Incremental Residual Concept Bottleneck Models
Incremental Residual Concept Bottleneck Models
Chenming Shang
Shiji Zhou
Hengyuan Zhang
Xinzhe Ni
Yujiu Yang
Yuwang Wang
118
18
0
13 Apr 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View
Understanding Multimodal Deep Neural Networks: A Concept Selection View
Chenming Shang
Hengyuan Zhang
Hao Wen
Yujiu Yang
94
5
0
13 Apr 2024
Probing the 3D Awareness of Visual Foundation Models
Probing the 3D Awareness of Visual Foundation Models
Mohamed El Banani
Amit Raj
Kevis-Kokitsi Maninis
Abhishek Kar
Yuanzhen Li
Michael Rubinstein
Deqing Sun
Leonidas Guibas
Justin Johnson
Varun Jampani
101
86
0
12 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
117
6
0
09 Apr 2024
Unified Multi-modal Diagnostic Framework with Reconstruction
  Pre-training and Heterogeneity-combat Tuning
Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning
Yupei Zhang
Li Pan
Qiushi Yang
Tan Li
Zhen Chen
91
1
0
09 Apr 2024
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling
  Text Generation
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
R. Ajwani
Zining Zhu
Jonathan Rose
Frank Rudzicz
46
1
0
08 Apr 2024
Test-Time Training for Depression Detection
Test-Time Training for Depression Detection
Sri Harsha Dumpala
Chandramouli Shama Sastry
Rudolf Uher
Sageev Oore
103
0
0
07 Apr 2024
Mixture of Low-rank Experts for Transferable AI-Generated Image
  Detection
Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
Zihan Liu
Hanyi Wang
Yaoyu Kang
Shilin Wang
MoE
98
13
0
07 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
73
7
0
01 Apr 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
OODDMoMe
103
45
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
CLIPVLM
152
11
0
28 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
103
12
0
24 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
103
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 Boddeti
VLM
89
15
0
22 Mar 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for
  Medical Image Analysis
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
Santosh Sanjeev
Nuren Zhaksylyk
Ibrahim Almakky
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
133
3
0
20 Mar 2024
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial
  attention
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
Pierre Guetschel
Thomas Moreau
Michael Tangermann
68
9
0
18 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Ibrahim Almakky
Santosh Sanjeev
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
Mohammad Yaqub
FedMLMoMe
149
4
0
18 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILMAAML
114
11
0
16 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
85
1
0
16 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
CLLVLM
97
9
0
14 Mar 2024
Bridging Domains with Approximately Shared Features
Bridging Domains with Approximately Shared Features
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
OOD
98
2
0
11 Mar 2024
Towards In-Vehicle Multi-Task Facial Attribute Recognition:
  Investigating Synthetic Data and Vision Foundation Models
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
Esmaeil Seraj
Walter Talamonti
49
0
0
10 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
80
5
0
08 Mar 2024
AFreeCA: Annotation-Free Counting for All
AFreeCA: Annotation-Free Counting for All
Adrian dÁlessandro
Ali Mahdavi-Amiri
Ghassan Hamarneh
DiffM
80
4
0
07 Mar 2024
Applied Causal Inference Powered by ML and AI
Applied Causal Inference Powered by ML and AI
Victor Chernozhukov
Christian Hansen
Nathan Kallus
Martin Spindler
Vasilis Syrgkanis
CML
84
32
0
04 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
101
9
0
04 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for
  Pre-trained Vision-Language Models
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
Lin Li
Haoyan Guan
Jianing Qiu
Michael W. Spratling
AAMLVLMVPVLM
99
24
0
04 Mar 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the
  Context of Pre-trained Models
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen
Oscar Pizarro
Stefan B. Williams
62
0
0
02 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
134
2
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
94
3
0
29 Feb 2024
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain
  Recommendation
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
Jianyu Guan
Zongming Yin
Tianyi Zhang
Leihui Chen
Yin Zhang
Fei Huang
Jufeng Chen
Shuguang Han
56
1
0
29 Feb 2024
On the Convergence of Differentially-Private Fine-tuning: To Linearly
  Probe or to Fully Fine-tune?
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
Shuqi Ke
Charlie Hou
Giulia Fanti
Sewoong Oh
81
4
0
29 Feb 2024
Asymmetry in Low-Rank Adapters of Foundation Models
Asymmetry in Low-Rank Adapters of Foundation Models
Jiacheng Zhu
Kristjan Greenewald
Kimia Nadjahi
Haitz Sáez de Ocáriz Borde
Rickard Brüel-Gabrielsson
Leshem Choshen
Marzyeh Ghassemi
Mikhail Yurochkin
Justin Solomon
116
39
0
26 Feb 2024
StochCA: A Novel Approach for Exploiting Pretrained Models with
  Cross-Attention
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
SeungWon Seo
Suho Lee
Sangheum Hwang
78
0
0
25 Feb 2024
Fine-Grained Detoxification via Instance-Level Prefixes for Large
  Language Models
Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models
Xin Yi
Linlin Wang
Xiaoling Wang
Liang He
MoMe
83
1
0
23 Feb 2024
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity
  Tracking
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Nikhil Prakash
Tamar Rott Shaham
Tal Haklay
Yonatan Belinkov
David Bau
99
67
0
22 Feb 2024
Embedding Compression for Teacher-to-Student Knowledge Transfer
Embedding Compression for Teacher-to-Student Knowledge Transfer
Yiwei Ding
Alexander Lerch
48
1
0
09 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
138
2
0
07 Feb 2024
Enhancing Compositional Generalization via Compositional Feature
  Alignment
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
115
2
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
93
0
0
02 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
146
6
0
31 Jan 2024
Exploring the Transferability of a Foundation Model for Fundus Images:
  Application to Hypertensive Retinopathy
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
Julio Silva-Rodríguez
Jihed Chelbi
Waziha Kabir
H. Chakor
Jose Dolz
Ismail Ben Ayed
Riadh Kobbi
MedIm
129
1
0
27 Jan 2024
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on
  Few-shot Inference via Debiased Domain Abstraction
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
Jiangmeng Li
Fei Song
Yifan Jin
Jingyao Wang
Changwen Zheng
Gang Hua
Hui Xiong
VLM
126
4
0
25 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation
LanDA: Language-Guided Multi-Source Domain Adaptation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
87
10
0
25 Jan 2024
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