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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
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
Zexi Jia
Chuanwei Huang
Hongyan Fei
Yeshuang Zhu
Zhiqiang Yuan
Jinchao Zhang
Jie Zhou
DiffMVLM
86
0
0
17 Feb 2025
The Best Instruction-Tuning Data are Those That Fit
The Best Instruction-Tuning Data are Those That Fit
Dylan Zhang
Qirun Dai
Hao Peng
ALM
223
7
0
06 Feb 2025
Safety Reasoning with Guidelines
Safety Reasoning with Guidelines
Haoyu Wang
Zeyu Qin
Li Shen
Xueqian Wang
Minhao Cheng
Dacheng Tao
182
4
0
06 Feb 2025
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration
Wei Yao
Wenkai Yang
Ziyi Wang
Yankai Lin
Yong Liu
Yong Liu
ELM
338
3
0
03 Feb 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
82
2
0
28 Jan 2025
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
Nannan Li
Kevin J. Shih
Bryan A. Plummer
DiffM
127
0
0
08 Jan 2025
Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis
Thang-Anh-Quan Nguyen
Nathan Piasco
Luis Roldão
Moussâb Bennehar
D. Tsishkou
Laurent Caraffa
J. Tarel
R. Brémond
DiffM
112
1
0
06 Jan 2025
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Benjamin Laufer
Jon M. Kleinberg
Hoda Heidari
161
11
0
03 Jan 2025
Adaptive Concept Bottleneck for Foundation Models Under Distribution
  Shifts
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi
Jayaram Raghuram
Yixuan Li
Somesh Jha
155
5
0
18 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
521
1
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Zhaoyu Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
449
1
0
16 Dec 2024
Transliterated Zero-Shot Domain Adaptation for Automatic Speech
  Recognition
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition
Han Zhu
Gaofeng Cheng
Qingwei Zhao
Pengyuan Zhang
VLM
134
0
0
15 Dec 2024
Financial Fine-tuning a Large Time Series Model
Financial Fine-tuning a Large Time Series Model
Xinghong Fu
Masanori Hirano
Kentaro Imajo
AI4TSAIFin
131
1
0
13 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
Zechao Li
Ricardo Silva
N. Zhang
148
0
0
29 Nov 2024
DoubleCCA: Improving Foundation Model Group Robustness with Random
  Sentence Embeddings
DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings
Hong Liu
Yitong Lu
198
0
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
359
0
0
23 Nov 2024
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep
  Networks Under Distribution Shifts
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts
Mary Isabelle Wisell
Salimeh Yasaei Sekeh
73
0
0
14 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
Han Zhang
VLMOODD
100
3
0
11 Nov 2024
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
...
Georg Langs
Gregor Kasprian
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
OOD
128
1
0
11 Nov 2024
Gradient Localization Improves Lifelong Pretraining of Language Models
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez
Yonatan Bisk
Emma Strubell
KELM
94
2
0
07 Nov 2024
Exploring the Stability Gap in Continual Learning: The Role of the
  Classification Head
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Łapacz
Daniel Marczak
Filip Szatkowski
Tomasz Trzciñski
94
1
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
61
2
0
03 Nov 2024
FEET: A Framework for Evaluating Embedding Techniques
FEET: A Framework for Evaluating Embedding Techniques
Simon A. Lee
John Lee
Jeffrey N. Chiang
82
4
0
02 Nov 2024
Label Noise: Ignorance Is Bliss
Label Noise: Ignorance Is Bliss
Yilun Zhu
Jianxin Zhang
Aditya Gangrade
Clayton Scott
NoLa
94
2
0
31 Oct 2024
Preserving Pre-trained Representation Space: On Effectiveness of
  Prefix-tuning for Large Multi-modal Models
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
Donghoon Kim
Gusang Lee
Kyuhong Shim
B. Shim
97
1
0
29 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
136
9
0
27 Oct 2024
Any Other Thoughts, Hedgehog? Linking Deliberation Chains in
  Collaborative Dialogues
Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
Abhijnan Nath
Videep Venkatesha
Mariah Bradford
Avyakta Chelle
Austin Youngren
Carlos Mabrey
Nathaniel Blanchard
Nikhil Krishnaswamy
83
3
0
25 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
87
0
0
17 Oct 2024
Guarantees for Nonlinear Representation Learning: Non-identical
  Covariates, Dependent Data, Fewer Samples
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CMLOOD
145
0
0
15 Oct 2024
COrAL: Order-Agnostic Language Modeling for Efficient Iterative
  Refinement
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement
Yuxi Xie
Anirudh Goyal
Xiaobao Wu
Xunjian Yin
Xiao Xu
Min-Yen Kan
Liangming Pan
William Yang Wang
LRM
358
1
0
12 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
78
1
0
12 Oct 2024
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Ziming Yu
Pan Zhou
Sike Wang
Jia Li
Hua Huang
77
0
0
11 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
489
4
0
11 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
VLMCLIP
105
2
0
10 Oct 2024
Features are fate: a theory of transfer learning in high-dimensional regression
Features are fate: a theory of transfer learning in high-dimensional regression
Javan Tahir
Surya Ganguli
Grant M. Rotskoff
71
2
0
10 Oct 2024
VehicleSDF: A 3D generative model for constrained engineering design via
  surrogate modeling
VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling
Hayata Morita
Kohei Shintani
Chenyang Yuan
Frank Permenter
AI4CE
143
2
0
09 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
68
0
0
08 Oct 2024
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for
  Speech Emotion Recognition
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
David-Gabriel Ion
Razvan-Alexandru Smadu
Dumitru-Clementin Cercel
Florin-Catalin Pop
Mihaela-Claudia Cercel
65
0
0
06 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
67
0
0
06 Oct 2024
Implicit to Explicit Entropy Regularization: Benchmarking ViT
  Fine-tuning under Noisy Labels
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels
Maria Marrium
Arif Mahmood
Mohammed Bennamoun
NoLaAAML
102
0
0
05 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
70
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
OODMoMe
91
10
0
03 Oct 2024
Investigating the Impact of Model Complexity in Large Language Models
Investigating the Impact of Model Complexity in Large Language Models
Jing Luo
Huiyuan Wang
Weiran Huang
69
0
0
01 Oct 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Zheda Mai
Ping Zhang
Cheng-Hao Tu
Hong-You Chen
Li Zhang
Wei-Lun Chao
52
1
0
24 Sep 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
262
8
0
24 Sep 2024
Not Only the Last-Layer Features for Spurious Correlations: All Layer
  Deep Feature Reweighting
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
Humza Wajid Hameed
Géraldin Nanfack
Eugene Belilovsky
72
1
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
76
0
0
19 Sep 2024
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large
  models in medical image analysis
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis
Shaojie Li
Zhaoshuo Diao
61
0
0
18 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
115
4
0
15 Sep 2024
Minimizing Embedding Distortion for Robust Out-of-Distribution
  Performance
Minimizing Embedding Distortion for Robust Out-of-Distribution Performance
Tom Shaked
Yuval Goldman
Oran Shayer
OODD
74
0
0
11 Sep 2024
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