CLNTM - Contrastive Learning for Neural Topic Model

Related tags

Deep LearningCLNTM
Overview

Contrastive Learning for Neural Topic Model

This repository contains the implementation of the paper Contrastive Learning for Neural Topic Model.

Thong Nguyen, Luu Anh Tuan (NeurIPS 2021)

Teaser image In this work, we target the problem of capturing meaningful representations through modeling the relations among samples from a mathematical perspective and propose a novel contrastive objective to train the neural topic model, along with the optimization of the variational lower bound. In our contrastive learning framework, we introduce a novel sampling strategy that is motivated by human behavior when comparing numerous documents. Our results show that capturing mutual information between the prototype and its positive sample provides a strong foundation for constructing coherent topics, while differentiating the prototype from the negative samples plays a less fundamental role.

@inproceedings{
nguyen2021contrastive,
title={Contrastive Learning for Neural Topic Model},
author={Thong Thanh Nguyen and Anh Tuan Luu},
booktitle={Advances in Neural Information Processing Systems},
editor={A. Beygelzimer and Y. Dauphin and P. Liang and J. Wortman Vaughan},
year={2021},
url={https://openreview.net/forum?id=NEgqO9yB7e}
}

Requirements

  • python3
  • pandas
  • gensim
  • numpy
  • torchvision
  • pytorch 1.7.0
  • scipy

How to Run

  1. Download and put the dataset in the data folder: https://drive.google.com/file/d/1JeeUCzBRQqJUvdWGDN7aMRvIoBAIbZIc/view?usp=sharing
  2. Train the model by running ./scripts/train_models/run_{dataset}_{topk}.sh
  3. Evaluate the model via executing ./scripts/evaluate/run_{dataset}_npmi_{topk}.sh

Acknowledgement

Our implementation is based on the official code of SCHOLAR.

Owner
Thong Thanh Nguyen
...
Thong Thanh Nguyen
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.

META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu

Bosch Research 7 Dec 09, 2022
Library for machine learning stacking generalization.

stacked_generalization Implemented machine learning *stacking technic[1]* as handy library in Python. Feature weighted linear stacking is also availab

114 Jul 19, 2022
FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks This is our implementation for the paper: FinGAT: A Financial Graph At

Yu-Che Tsai 64 Dec 13, 2022
Face recognize system

FRS Face_recognize_system This project contains my work that target on solving some problems of FRS: Face detection: Retinaface Face anti-spoofing: Fo

Tran Anh Tuan 4 Nov 18, 2021
Omnidirectional camera calibration in python

Omnidirectional Camera Calibration Key features pure python initial solution based on A Toolbox for Easily Calibrating Omnidirectional Cameras (Davide

Thomas Pönitz 12 Nov 22, 2022
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

ademxapp Visual applications by the University of Adelaide In designing our Model A, we did not over-optimize its structure for efficiency unless it w

Zifeng Wu 338 Dec 12, 2022
一个多模态内容理解算法框架,其中包含数据处理、预训练模型、常见模型以及模型加速等模块。

Overview 架构设计 插件介绍 安装使用 框架简介 方便使用,支持多模态,多任务的统一训练框架 能力列表: bert + 分类任务 自定义任务训练(插件注册) 框架设计 框架采用分层的思想组织模型训练流程。 DATA 层负责读取用户数据,根据 field 管理数据。 Parser 层负责转换原

Tencent 265 Dec 22, 2022
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment This repository shows two tasks: Face landmark detection and Fac

BoomStar 51 Dec 13, 2022
code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net Code and models for ICCV 2021 paper: Image Manipulation Detection by Multi-View Multi-Scale Supervision Update 22.02.17, Pretrained model for

dong_chengbo 131 Dec 30, 2022
[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks, ICLR 2021 (Spotlight) Demo | Paper [NEW!] Time to play with our interac

Shengyu Zhao 373 Jan 02, 2023
OpenMMLab Computer Vision Foundation

English | 简体中文 Introduction MMCV is a foundational library for computer vision research and supports many research projects as below: MMCV: OpenMMLab

OpenMMLab 4.6k Jan 09, 2023
PyTorch implementation of residual gated graph ConvNets, ICLR’18

Residual Gated Graph ConvNets April 24, 2018 Xavier Bresson http://www.ntu.edu.sg/home/xbresson https://github.com/xbresson https://twitter.com/xbress

Xavier Bresson 112 Aug 10, 2022
Chinese license plate recognition

AgentCLPR 简介 一个基于 ONNXRuntime、AgentOCR 和 License-Plate-Detector 项目开发的中国车牌检测识别系统。 车牌识别效果 支持多种车牌的检测和识别(其中单层车牌识别效果较好): 单层车牌: [[[[373, 282], [69, 284],

AgentMaker 26 Dec 25, 2022
A trashy useless Latin programming language written in python.

Codigum! The first programming langage in latin! (please keep your eyes closed when if you read the source code) It is pretty useless though. Document

Bic 2 Oct 25, 2021
PyTorch implementation of Super SloMo by Jiang et al.

Super-SloMo PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun

Avinash Paliwal 2.9k Jan 03, 2023
Build and run Docker containers leveraging NVIDIA GPUs

NVIDIA Container Toolkit Introduction The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includ

NVIDIA Corporation 15.6k Jan 01, 2023
Ensemble Visual-Inertial Odometry (EnVIO)

Ensemble Visual-Inertial Odometry (EnVIO) Authors : Jae Hyung Jung, Yeongkwon Choe, and Chan Gook Park 1. Overview This is a ROS package of Ensemble V

Jae Hyung Jung 95 Jan 03, 2023
Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Learning Causal Semantic Representation for Out-of-Distribution Prediction This repository is the official implementation of "Learning Causal Semantic

Chang Liu 54 Dec 01, 2022
Intrusion Detection System using ensemble learning (machine learning)

IDS-ML implementation of an intrusion detection system using ensemble machine learning methods Data set This project is carried out using the UNSW-15

4 Nov 25, 2022
Repository to run object detection on a model trained on an autonomous driving dataset.

Autonomous Driving Object Detection on the Raspberry Pi 4 Description of Repository This repository contains code and instructions to configure the ne

Ethan 51 Nov 17, 2022