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Attention Is All You Need: A Review
A. Vaswani, N. Shazeer — University of Research
Abstract— The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also connect the encoder and decoder through an attention mechanism.
I. Introduction
Recurrent neural networks, long short-term memory and gated recurrent networks in particular, have been firmly established as state of the art approaches in sequence modeling and transduction problems such as language modeling and machine translation.
II. Background
The goal of reducing sequential computation also forms the foundation of the Extended Neural GPU, ByteNet and ConvS2S, all of which use convolutional neural networks as basic building block.
The problem

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Every engineering student knows the ritual: spend 20 hours on the research, then spend 3 days fighting Overleaf to produce a document that looks like everyone else's. This is what IEEE submission usually looks like.

\documentclass[conference]{IEEEtran}
\IEEEoverridecommandlockouts
\usepackage{cite}
\usepackage{amsmath,amssymb,amsfonts}
\usepackage{algorithmic} % Package conflict error
\usepackage{graphicx}
% Why is my column width broken??
\begin{document}
\title{My Paper Title \thanks{...}} % still can't center this
\author{\IEEEauthorblockN{John Doe}
 \IEEEauthorblockA{\textit{Dept. of CS} \\
 \textit{University} \\ email@univ.edu}}
% ... 300 more lines of this

↑ You wrote this instead of your conclusion section. Again.

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