Network Augmentation for Tiny Deep Learning

Network Augmentation for Tiny Deep Learning

17 October 2021

Chuang Gan

Song Han

Papers citing "Network Augmentation for Tiny Deep Learning"

7 / 7 papers shown

Title
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities Kunxi Li Tianyu Zhan Kairui Fu Shengyu Zhang Kun Kuang Jiwei Li Zhou Zhao Fei Wu MoMe 24 0 0 20 Apr 2024
Continual Learning for On-Device Speech Recognition using Disentangled Conformers Anuj Diwan Ching-Feng Yeh Wei-Ning Hsu Paden Tomasello Eunsol Choi David Harwath Abdel-rahman Mohamed CLL BDL 25 7 0 02 Dec 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems Michael Bechtel QiTao Weng H. Yun BDL 23 7 0 23 Aug 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 33 19 0 02 Jun 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 28 46 0 28 Mar 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 689 0 22 Apr 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 414 142 0 13 Jan 2021