Boosted Dynamic Neural Networks

Boosted Dynamic Neural Networks

30 November 2022

Gao Huang

Papers citing "Boosted Dynamic Neural Networks"

9 / 9 papers shown

Title
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer Zheng Liu Jinchao Zhu Nannan Li Gao Huang 27 0 0 21 Sep 2024
Joint or Disjoint: Mixing Training Regimes for Early-Exit Models Bartłomiej Krzepkowski Monika Michaluk Franciszek Szarwacki Piotr Kubaty Jary Pomponi Tomasz Trzciñski Bartosz Wójcik Kamil Adamczewski 23 0 0 19 Jul 2024
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark J. Coates Pablo Piantanida Stephan Gunnemann 37 0 0 20 Jun 2024
Cascade-Aware Training of Language Models Congchao Wang Sean Augenstein Keith Rush Wittawat Jitkrittum Harikrishna Narasimhan A. S. Rawat A. Menon Alec Go 28 4 0 29 May 2024
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN Florence Regol Joud Chataoui Mark J. Coates 26 6 0 13 Oct 2023
ELASTIC: Improving CNNs with Dynamic Scaling Policies Huiyu Wang Aniruddha Kembhavi Ali Farhadi Alan Yuille Mohammad Rastegari 116 57 0 13 Dec 2018
AdaFrame: Adaptive Frame Selection for Fast Video Recognition Zuxuan Wu Caiming Xiong Chih-Yao Ma R. Socher L. Davis 118 194 0 29 Nov 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 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