Local Learning on Transformers via Feature Reconstruction

29 December 2022

Papers citing "Local Learning on Transformers via Feature Reconstruction"

8 / 8 papers shown

Title
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 44 18 0 27 Feb 2022
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 195 1,800 0 18 Nov 2021
Efficient Training of Visual Transformers with Small Datasets Yahui Liu E. Sangineto Wei Bi N. Sebe Bruno Lepri Marco De Nadai ViT 55 171 0 07 Jun 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 476 3,699 0 24 Feb 2021
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 38 116 0 23 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 70 227 0 20 Jan 2019
Learning Deep ResNet Blocks Sequentially using Boosting Theory Furong Huang Jordan T. Ash John Langford Robert Schapire 58 111 0 15 Jun 2017
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 73 355 0 18 Aug 2016