Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural
Networks

Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks

7 January 2022

Hongyi Pan

Ahmet Enis Cetin

Papers citing "Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks"

6 / 6 papers shown

Title
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 44 0 0 21 Mar 2025
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks Nastaran Darabi A. R. Trivedi 24 0 0 20 Sep 2023
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer Hongyi Pan Xin Zhu S. Atici Ahmet Enis Cetin 22 17 0 27 May 2023
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers Nurullah Sevim Ege Ozan Özyedek Furkan Şahinuç Aykut Koç 40 11 0 26 Sep 2022
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration Zhiqiang Shen Zechun Liu Jie Qin Lei Huang Kwang-Ting Cheng Marios Savvides UQCV SSL MQ 248 22 0 17 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 306 10,233 0 16 Nov 2016