Variable Computation in Recurrent Neural Networks

18 November 2016

Papers citing "Variable Computation in Recurrent Neural Networks"

10 / 10 papers shown

Title
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model Grzegorz Stefański P. Daniluk Artur Szumaczuk Jakub Tkaczuk 31 0 0 04 Oct 2024
Thinking Tokens for Language Modeling David Herel Tomáš Mikolov LRM 29 2 0 14 May 2024
Triangular Dropout: Variable Network Width without Retraining Edward W. Staley Jared Markowitz 28 2 0 02 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 44 149 0 27 Apr 2022
On the Transformer Growth for Progressive BERT Training Xiaotao Gu Liyuan Liu Hongkun Yu Jing Li Chong Chen Jiawei Han VLM 69 51 0 23 Oct 2020
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 28 9 0 09 Dec 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 43 584 0 25 Sep 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 101 4,940 0 19 Jun 2018
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 21 217 0 22 Aug 2017
Learning to Skim Text Adams Wei Yu Hongrae Lee Quoc V. Le RALM 38 124 0 23 Apr 2017