Few-shot Adaptation to Distribution Shifts By Mixing Source and Target
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Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings

23 May 2023

Ali Payani

Baharan Mirzasoleiman

Papers citing "Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings"

7 / 7 papers shown

Title
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 28 0 0 04 Sep 2024
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 43 53 0 19 Jun 2023
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift Wenyu Zhang Li Shen Wanyue Zhang Chuan-Sheng Foo TTA 34 17 0 30 May 2022
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 128 368 0 09 May 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 283 0 27 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015