Towards Understanding the Transferability of Deep Representations

26 September 2019

Papers citing "Towards Understanding the Transferability of Deep Representations"

6 / 6 papers shown

Title
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning Peng Zhang Yingbo Zhou Ming Hu Xin Fu Xian Wei Mingsong Chen FedML 24 1 0 28 Jan 2023
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 21 51 0 01 Dec 2021
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 42 61 0 21 Jun 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 14 246 0 28 Mar 2020
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 88 233 0 28 Feb 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 278 2,888 0 15 Sep 2016