ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs

6 June 2024

Papers citing "ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs"

8 / 8 papers shown

Title
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 91 65 0 30 Nov 2023
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 114 138 0 28 Nov 2023
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li Huixia Li Xiawu Zheng Jie Wu Xuefeng Xiao Rui Wang Min Zheng Xin Pan Fei Chao R. Ji 45 19 0 19 Sep 2023
Self-Attentive Pooling for Efficient Deep Learning Fang Chen Gourav Datta Souvik Kundu P. Beerel 31 5 0 16 Sep 2022
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 120 308 0 19 Apr 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 239 6,278 0 16 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 200 9,999 0 18 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 260 9,997 0 01 Sep 2014