TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	DVD	76.57	# 3
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	Books	73.40	# 3
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	Electronics	80.53	# 2
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	Kitchen	82.93	# 3
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	Average	78.36	# 4

🦡 Badges

Include the markdown at the top of your GitHub README.md file to showcase the performance of the model.

Badges are live and will be dynamically updated with the latest ranking of this paper.

Badge	Markdown
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/the-variational-fair-autoencoder/sentiment-analysis-on-multi-domain-sentiment)](https://paperswithcode.com/sota/sentiment-analysis-on-multi-domain-sentiment?p=the-variational-fair-autoencoder)`

The Variational Fair Autoencoder

3 Nov 2015 • Christos Louizos • Kevin Swersky • Yujia Li • Max Welling • Richard Zemel

We investigate the problem of learning representations that are invariant to certain nuisance or sensitive factors of variation in the data while retaining as much of the remaining information as possible. Our model is based on a variational autoencoding architecture with priors that encourage independence between sensitive and latent factors of variation... (read more)

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Tasks

Add Remove

SENTIMENT ANALYSIS

Datasets

Add Datasets introduced or used in this paper

Results from the Paper

Edit

Ranked #3 on Sentiment Analysis on Multi-Domain Sentiment Dataset

Get a GitHub badge

TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Sentiment Analysis	Multi-Domain Sentiment Dataset	VFAE	DVD	76.57	# 3	Compare
			Books	73.40	# 3	Compare
			Electronics	80.53	# 2	Compare
			Kitchen	82.93	# 3	Compare
			Average	78.36	# 4	Compare

Methods used in the Paper

Add Remove

METHOD	TYPE
🤖 No Methods Found	Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet

The Variational Fair Autoencoder

Code Edit Add Remove Mark official

Tasks Edit Add Remove

Datasets Edit

Results from the Paper Edit

Methods used in the Paper Edit Add Remove

Code

Add Remove Mark official

Tasks

Add Remove

Datasets

Results from the Paper

Edit

Methods used in the Paper

Add Remove