Uncertainty Estimation In Bert Based

Uncertainty estimation in BERT

https://arxiv.org/abs/2203.07472 A short video on what the above paper discusses: -

"Unified

Authors: Kudaibergen Abutalip, Numan Saeed, Fadillah Adamsyah Maani, Ikboljon Sobirov, Vincent Andrearczyk, Adrien ...

Authors: Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi Description: Accurately estimating

An overview of my dissertation. A reproduce of the public talk as part of my PhD defense, which took place online on June 18th, ...

Authors: Ang Nan Gu, Michael Tsang, Hooman Vaseli, Purang Abolmaesumi, Teresa Tsang Paper Link: ...

Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ...

During our session on the 12.12.2022 Nikita Durasov presented his CVPR 2021 work. In this work the authors proposed a novel ...

Data Fest Online 2020

Jianfeng He, Virginia Tech Unlike previous works that manually set the pseudo

This paper addresses

Please see https://sisu.ut.ee/measurement/104-practical-example/ for more information on the topics covered in this video.

In this work, we introduce a new technique that combines two popular methods to

Neural networks predictions are unreliable when the input sample is out of the training data distribution or corrupted by noise.

We present a novel methodology to

In this work, we present Masksembles, a novel method for generating

In this tutorial, we'll explore how to

MIT Introduction to Deep Learning 6.S191: Lecture 7 Evidential Deep Learning and

Speaker: Professor Roberto Buizza, Scuola Superiore Sant'Anna, Pisa, Italy. One of the major advances in weather prediction of ...