Controlled Randomness Improves the Performance of Transformer Models

20 October 2023

Papers citing "Controlled Randomness Improves the Performance of Transformer Models"

6 / 6 papers shown

Title
An Analysis of Abstractive Text Summarization Using Pre-trained Models Tohida Rehman S. Das Debarshi Kumar Sanyal S. Chattopadhyay 21 9 0 25 Feb 2023
Packed Levitated Marker for Entity and Relation Extraction Deming Ye Yankai Lin Peng Li Maosong Sun 129 105 0 13 Sep 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 225 204 0 25 Sep 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 248 1,417 0 22 Aug 2019
Neural Legal Judgment Prediction in English Ilias Chalkidis Ion Androutsopoulos Nikolaos Aletras AILaw ELM 101 325 0 05 Jun 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012