Uk News

New nervous cheating helps models to think in longer molds

:::information
Authors:

(1) Hung Le, AI Institute, Deakin University, Geelong, Australia;

(2) Dung Nguyen, AI Institute, Deakin University, Geelong, Australia;

(3) Kien Do, AI Institute, Deakin University, Geelong, Australia;

(4) Svetha Venkatesh, AI Institute, Deakin University, Geelong, Australia;

(5) Truyen Tran, AI Institute, Deakin University, Geelong, Australia.

:::

Summary and Entry

Method

Methods Part 2

Experimental Results

Experimental Results Part 2

Related works, discussions and references

EK A, B and C

EK D

2.3 pointer Augmented Neural Memory (PANM)

\
2.3.1 pointer unit

\

\
2.3.2 pointer -based addressing modes

\

\
2.3.3 Controller

\

\
Table 1: Algorithmic Reasoning: The average sequence level accuracy (%) on test lengths is selected as the best numbers in each length mode from other base lines.

\
Table 2: Screening (on the left): Final match accuracy in divisions of various lengths (%, 5 running). Mathematics (right): 5 Average accuracy on running. The number of basic lines is Csord´as et al. [2021] And we run Panm using the code base of the authors.

\

::: Information This article Available in Arxiv 4.0 Land Registry License under CC.

:::

\

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button