Multi-Sample Dropout for Accelerated Training and Better Generalization

23 May 2019

Papers citing "Multi-Sample Dropout for Accelerated Training and Better Generalization"

7 / 7 papers shown

Title
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations A. Bhat Ashutosh Modi 32 9 0 07 Nov 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 64 20 0 28 Oct 2022
Predicting Query-Item Relationship using Adversarial Training and Robust Modeling Techniques Min Seok Kim 22 0 0 23 Aug 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 43 16 0 05 Dec 2021
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 27 16 0 27 Mar 2020
Understanding Dropout as an Optimization Trick Sangchul Hahn Heeyoul Choi ODL 13 34 0 26 Jun 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012