🤗 Paper Style Guide

Overview

🤗 Paper Style Guide

(Work in progress, send a PR!)

Libraries to Know

General

  • When in doubt use sections -> Introduction, Background, Model, Training, Methods, Results, Discussion, Conclusion.
  • Tables should always follow this guide
  • Tables / Figures should always float. Never inline in the text.
  • When using natbib, \citet is for when the citation is a noun, and \citep is for when it is at the end.
  • Captions should be short but fully self-explanatory of the columns / rows. They should not use 1st person.
  • Abstracts should be 1 paragraph. When in doubt -> Context, Problem, Idea 1, Idea 2, Results.
  • Section titles should be starting-caps.
  • The goal of related work is not just to list papers, but to explicitly make claims as to how your work differs from each one.
  • Figures should have a white background and large fonts. Do not screenshot! Generate a high-res, pdf output.
  • Use present tense (almost) everywhere.
  • You do not need a summary paragraph at the end of your intro.
  • All empirical results must be in a table or figure.
  • Methods section should not introduce new modeling. Enumerate the tasks, baselines, hyperparameters.
  • Results section should not introduce new tasks or models. Summarize the tables.
  • Any non-trivial notation should be introduced as early possible. Ideally background.
  • 8 pages is an extremely hard limit.
  • Always use `` '' for quotes not " ".
  • Use bold sparingly. Opt for italics for new technical terms.

Small Tips

  • Turn off \usepackage[review]{emnlp} to \usepackage[]{emnlp} while editing to fix overleaf linking.
  • Use \newcommand{\todo}[1]{{\small\color{red}{\bf [*** Todo: #1]}}} for inline comments.

Links

Exercises

  • What are the 3 contributions of the paper?
  • Do my experiments convincingly prove each of these are true?
  • Can I cut anything that does not satisfy these?
  • Would someone who has not read a paper in 2 years understand what is happening?
Owner
Hugging Face
The AI community building the future.
Hugging Face
A Human-in-the-Loop workflow for creating HD images from text

A Human-in-the-Loop? workflow for creating HD images from text DALL·E Flow is an interactive workflow for generating high-definition images from text

Jina AI 2.5k Jan 02, 2023
A Tensorflow implementation of BicycleGAN.

BicycleGAN implementation in Tensorflow As part of the implementation series of Joseph Lim's group at USC, our motivation is to accelerate (or sometim

Cognitive Learning for Vision and Robotics (CLVR) lab @ USC 97 Dec 02, 2022
Implementation for the "Surface Reconstruction from 3D Line Segments" paper.

Surface Reconstruction from 3D Line Segments Surface reconstruction from 3d line segments. Langlois, P. A., Boulch, A., & Marlet, R. In 2019 Internati

85 Jan 04, 2023
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. This repository c

Deep Learning for HEP 101 Nov 13, 2022
The code uses SegFormer for Semantic Segmentation on Drone Dataset.

SegFormer_Segmentation The code uses SegFormer for Semantic Segmentation on Drone Dataset. The details for the SegFormer can be obtained from the foll

Dr. Sander Ali Khowaja 1 May 08, 2022
The repository contain code for building compiler using puthon.

Building Compiler This is a python implementation of JamieBuild's "Super Tiny Compiler" Overview JamieBuilds developed a wonderfully educative compile

Shyam Das Shrestha 1 Nov 21, 2021
PyTorch implementation of some learning rate schedulers for deep learning researcher.

pytorch-lr-scheduler PyTorch implementation of some learning rate schedulers for deep learning researcher. Usage WarmupReduceLROnPlateauScheduler Visu

Soohwan Kim 59 Dec 08, 2022
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision

SANDS This is an annonymous repository containing code and data necessary to reproduce the results published in "Semi-supervised Stance Detection of T

2 Sep 22, 2022
The code for replicating the experiments from the LFI in SSMs with Unknown Dynamics paper.

Likelihood-Free Inference in State-Space Models with Unknown Dynamics This package contains the codes required to run the experiments in the paper. Th

Alex Aushev 0 Dec 27, 2021
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

TIA Toolbox Computational Pathology Toolbox developed at the TIA Centre Getting Started All Users This package is for those interested in digital path

Tissue Image Analytics (TIA) Centre 156 Jan 08, 2023
Large dataset storage format for Pytorch

H5Record Large dataset ( 100G, = 1T) storage format for Pytorch (wip) Support python 3 pip install h5record Why? Writing large dataset is still a

theblackcat102 43 Oct 22, 2022
Unified file system operation experience for different backend

megfile - Megvii FILE library Docs: http://megvii-research.github.io/megfile megfile provides a silky operation experience with different backends (cu

MEGVII Research 76 Dec 14, 2022
Pytorch reimplementation of PSM-Net: "Pyramid Stereo Matching Network"

This is a Pytorch Lightning version PSMNet which is based on JiaRenChang/PSMNet. use python main.py to start training. PSM-Net Pytorch reimplementatio

XIAOTIAN LIU 1 Nov 25, 2021
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Masked Autoencoders Are Scalable Vision Learners A TensorFlow implementation of Masked Autoencoders Are Scalable Vision Learners [1]. Our implementati

Aritra Roy Gosthipaty 59 Dec 10, 2022
Crowd-sourced Annotation of Human Motion.

Motion Annotation Tool Live: https://motion-annotation.humanoids.kit.edu Paper: The KIT Motion-Language Dataset Installation Start by installing all P

Matthias Plappert 4 May 25, 2020
Safe Policy Optimization with Local Features

Safe Policy Optimization with Local Feature (SPO-LF) This is the source-code for implementing the algorithms in the paper "Safe Policy Optimization wi

Akifumi Wachi 6 Jun 05, 2022
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit

BigScience Workshop 253 Dec 27, 2022
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

ROCKET + MINIROCKET ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge D

298 Dec 26, 2022
A library for optimization on Riemannian manifolds

TensorFlow RiemOpt A library for manifold-constrained optimization in TensorFlow. Installation To install the latest development version from GitHub:

Oleg Smirnov 83 Dec 27, 2022
Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.

Computational Design and Dynamics of Soft Systems · This is a repository that contains the source code for generating the lecture notes, handouts, exe

Tejaswin Parthasarathy 4 Jul 21, 2022