Efficient Per-Example Gradient Computations in Convolutional Neural Networks

12 December 2019

Papers citing "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"

6 / 6 papers shown

Title
Data Shapley in One Training Run Jiachen T. Wang Prateek Mittal Dawn Song Ruoxi Jia TDI 50 7 0 16 Jun 2024
Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu Yu Wang Sheng Zha George Karypis 38 52 0 30 Sep 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 24 19 0 02 Mar 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections Zhiqi Bu Sivakanth Gopi Janardhan Kulkarni Y. Lee J. Shen U. Tantipongpipat FedML 34 41 0 05 Feb 2021
Efficient Per-Example Gradient Computations Ian Goodfellow 186 75 0 07 Oct 2015