Sentiment Analysis on Multi-Domain Sentiment Dataset

Metric: Average (higher is better)

LeaderboardDataset

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#	Model↕	Average▼	Extra Data	Paper	Date↕	Code
1	UDALM: Unsupervised Domain Adaptation through Language Modeling	91.74	No	UDALM: Unsupervised Domain Adaptation through La...	2021-04-14	Code
2	Distributional Correspondence Indexing	83.3	No	Revisiting Distributional Correspondence Indexin...	2018-10-19	Code
3	Multi-task tri-training	79.15	No	Strong Baselines for Neural Semi-supervised Lear...	2018-04-25	Code
4	Asymmetric tri-training	78.39	No	Asymmetric Tri-training for Unsupervised Domain ...	2017-02-27	Code
5	VFAE	78.36	No	The Variational Fair Autoencoder	2015-11-03	Code
6	DANN	76.26	No	Domain-Adversarial Training of Neural Networks	2015-05-28	Code

#1UDALM: Unsupervised Domain Adaptation through Language ModelingSOTA
91.74
Average· 2021-04-14
UDALM: Unsupervised Domain Adaptation through Language Modeling Code
#2Distributional Correspondence IndexingSOTA
83.3
Average· 2018-10-19
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments Code
#3Multi-task tri-trainingSOTA
79.15
Average· 2018-04-25
Strong Baselines for Neural Semi-supervised Learning under Domain Shift Code
#4Asymmetric tri-trainingSOTA
78.39
Average· 2017-02-27
Asymmetric Tri-training for Unsupervised Domain Adaptation Code
#5VFAESOTA
78.36
Average· 2015-11-03
The Variational Fair Autoencoder Code
#6DANNSOTA
76.26
Average· 2015-05-28
Domain-Adversarial Training of Neural Networks Code