Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

Last update: Jan 02, 2023

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Deep Learning LongDocSum

Overview

LongDocSum

Code for NAACL 2021 paper "Efficient Attentions for Long Document Summarization"

This repository contains data and models needed to reproduce results in the paper.

For model training and decoding, you can find code in code repository.

Owner

Luyang Huang

GitHub Repository

ADOP: Approximate Differentiable One-Pixel Point Rendering

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Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

Related tags

Overview

LongDocSum

Owner

ADOP: Approximate Differentiable One-Pixel Point Rendering

SegNet-like Autoencoders in TensorFlow

In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.

A coin flip game in which you can put the amount of money below or equal to 1000 and then choose heads or tail

Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges for the practitioner

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

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