Domain Adaptive Transfer Learning with Specialist Models

16 November 2018

Papers citing "Domain Adaptive Transfer Learning with Specialist Models"

22 / 22 papers shown

Title
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports Pujin Cheng Li Lin Junyan Lyu Yijin Huang Wenhan Luo Xiaoying Tang MedIm 19 44 0 24 Jul 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 35 3 0 29 Mar 2023
Classification of Melanocytic Nevus Images using BigTransfer (BiT) Sanya Sinha Nilay Gupta 15 1 0 21 Nov 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 30 22 0 04 Apr 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 22 85 0 02 Mar 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 100 0 15 Jan 2022
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 23 1 0 01 Dec 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 11 57 0 24 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 22 8 0 12 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 50 114 0 05 Oct 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 168 686 0 22 Apr 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 15 80 0 24 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 23 104 0 23 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 22 77 0 03 Mar 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 30 120 0 26 Mar 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 19 42 0 09 Jan 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 17 1,183 0 24 Dec 2019
Measuring Dataset Granularity Yin Cui Zeqi Gu D. Mahajan L. V. D. van der Maaten Serge J. Belongie Ser-Nam Lim 18 13 0 21 Dec 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 15 168 0 08 Oct 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan Ö. Arik Tomas Pfister TDI 8 173 0 25 Sep 2019
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 86 233 0 28 Feb 2017