DisARM: An Antithetic Gradient Estimator for Binary Latent Variables

18 June 2020

Papers citing "DisARM: An Antithetic Gradient Estimator for Binary Latent Variables"

6 / 6 papers shown

Title
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation Zixian Guo Yuxiang Wei Ming-Yu Liu Zhilong Ji Jinfeng Bai Yiwen Guo Wangmeng Zuo VLM 31 8 0 26 Dec 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 20 20 0 17 Apr 2023
A Lower Bound of Hash Codes' Performance Xiaosu Zhu Jingkuan Song Yu Lei Lianli Gao Hengtao Shen 43 2 0 12 Oct 2022
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 28 15 0 01 Apr 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 30 27 0 06 Mar 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 136 48 0 20 Oct 2020