Learning Deep ResNet Blocks Sequentially using Boosting Theory

15 June 2017

Furong Huang

Papers citing "Learning Deep ResNet Blocks Sequentially using Boosting Theory"

23 / 23 papers shown

Title
ColA: Collaborative Adaptation with Gradient Learning Enmao Diao Qi Le Suya Wu Xinran Wang Ali Anwar Jie Ding Vahid Tarokh 35 1 0 22 Apr 2024
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth Juan Zou Weiwei Jiang Yizhang Xia Yuan Liu Zhanglu Hou 28 0 0 05 Mar 2024
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply Chengting Yu Fengzhao Zhang Hanzhi Ma Aili Wang Er-ping Li 29 1 0 12 Dec 2023
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes Zhaohui Li Haitao Wang Xinghua Jiang 40 1 0 14 Aug 2023
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 20 6 0 22 Feb 2023
Local Learning on Transformers via Feature Reconstruction P. Pathak Jingwei Zhang Dimitris Samaras ViT 24 5 0 29 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 35 7 0 30 Nov 2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 33 1 0 03 Oct 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 48 15 0 07 Jun 2022
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 38 3 0 09 Jan 2021
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 11 17 0 05 Nov 2020
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling Wenchi Ma Miao Yu Kaidong Li Guanghui Wang 14 5 0 15 Oct 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 22 83 0 19 Feb 2020
Sub-Architecture Ensemble Pruning in Neural Architecture Search Yijun Bian Qingquan Song Mengnan Du Jun Yao Huanhuan Chen Xia Hu 17 14 0 01 Oct 2019
Sequential Training of Neural Networks with Gradient Boosting S. Emami Gonzalo Martýnez-Muñoz ODL 21 19 0 26 Sep 2019
Residual Networks Behave Like Boosting Algorithms Chapman Siu 30 9 0 25 Sep 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 27 228 0 10 Feb 2019
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 8 114 0 23 Jan 2019
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 30 135 0 20 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 33 39 0 11 Jun 2018
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018