Butterfly Transform: An Efficient FFT Based Neural Architecture Design

5 June 2019

Papers citing "Butterfly Transform: An Efficient FFT Based Neural Architecture Design"

9 / 9 papers shown

Title
Simple Hardware-Efficient Long Convolutions for Sequence Modeling Daniel Y. Fu Elliot L. Epstein Eric N. D. Nguyen A. Thomas Michael Zhang Tri Dao Atri Rudra Christopher Ré 11 51 0 13 Feb 2023
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 16 87 0 01 Apr 2022
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models Tri Dao Beidi Chen Kaizhao Liang Jiaming Yang Zhao-quan Song Atri Rudra Christopher Ré 25 75 0 30 Nov 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 172 475 0 12 Aug 2021
Rethinking Neural Operations for Diverse Tasks Nicholas Roberts M. Khodak Tri Dao Liam Li Christopher Ré Ameet Talwalkar AI4CE 29 22 0 29 Mar 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 48 34 0 25 Mar 2021
MicroNet: Towards Image Recognition with Extremely Low FLOPs Yunsheng Li Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Lei Zhang Nuno Vasconcelos 22 25 0 24 Nov 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 19 136 0 13 Jul 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016