Diffusion Probabilistic Model Made Slim

27 November 2022

Papers citing "Diffusion Probabilistic Model Made Slim"

9 / 59 papers shown

Title
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang Yan Xiao Zheng Ma 121 514 0 19 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 569 10,555 0 12 Dec 2018
CCNet: Criss-Cross Attention for Semantic Segmentation Zilong Huang Xinggang Wang Yunchao Wei Lichao Huang Humphrey Shi Wenyu Liu Chang Huang VOS 212 2,546 0 28 Nov 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,541 0 17 Jul 2018
Training behavior of deep neural network in frequency domain Zhi-Qin John Xu Yaoyu Zhang Yan Xiao AI4CE 72 319 0 03 Jul 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 118 1,093 0 01 Nov 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 255 8,833 0 01 Oct 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 298 6,931 0 12 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 305 3,883 0 19 Dec 2014