A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

4 October 2021

Papers citing "A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning"

5 / 55 papers shown

Title
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 36 7 0 03 Mar 2022
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 8 22 0 15 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 34 38 0 09 Oct 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016