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Sentiment Classification on IMDB (test)

0.0651Error Rate

Our best (three tv-embeddings)

Updated 3d ago

Evaluation Results

Method
Our best (three tv-embeddings) 2015.04	0.0651	-	-	-	-	-	-	-	-
Ensemble of 3 models 2015.04	0.0743	-	-	-	-	-	-	-	-
Paragraph vectors 2015.04	0.0746	-	-	-	-	-	-	-	-
best CNN 2015.04	0.0767	-	-	-	-	-	-	-	-
NB-LM 1-3grams 2015.04	0.0813	-	-	-	-	-	-	-	-
XLNet 2019.06	3.2	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.27	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.35	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.35	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.39	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.39	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.4	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.41	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.44	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.45	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.47	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.49	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.5	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.51	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.51	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.51	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.51	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.54	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.54	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.58	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.6	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.6	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.6	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.62	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.63	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.67	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.76	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.77	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.77	-	-	-	-	-	-	-	-
Greedy MI 2026.02	3.82	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.87	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.87	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	3.91	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.92	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.92	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.92	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.97	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	3.98	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	3.98	-	-	-	-	-	-	-	-
Graph Star 2017.05	4	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	4.03	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	4.03	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	4.04	-	-	-	-	-	-	-	-
Greedy MI 2026.02	4.05	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	4.11	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	4.11	-	-	-	-	-	-	-	-
Top-k (Acc) 2026.02	4.13	-	-	-	-	-	-	-	-
Term 1 (Rel) 2026.02	4.13	-	-	-	-	-	-	-	-
Terms 1+2 (mRMR) 2026.02	4.13	-	-	-	-	-	-	-	-
Greedy MI 2026.02	4.13	-	-	-	-	-	-	-	-
BERT-large 2017.05	4.2	-	-	-	-	-	-	-	-
BERT-ITPT-FiT 2019.05	4.21	-	-	-	-	-	-	-	-
Mixed VAT 2019.06	4.32	-	-	-	-	-	-	-	-
Mixed-objective LSTM 2017.05	4.32	-	-	-	-	-	-	-	-
Mixed VAT 2019.04	4.32	-	-	-	-	-	-	-	-
BERT-ITPT-FiT 2019.05	4.37	-	-	-	-	-	-	-	-
BERT-ITPT-FiT 2019.05	4.37	-	-	-	-	-	-	-	-
MPNet 2020.04	4.4	-	-	-	-	-	-	-	-
BERT 2019.06	4.51	-	-	-	-	-	-	-	-
BERT_LARGE 2019.04	4.51	-	-	-	-	-	-	-	-
ULMFiT 2018.01	4.6	-	-	-	-	-	-	-	-
ULMFIT 2019.06	4.6	-	-	-	-	-	-	-	-
ULMFIT 2019.05	4.6	-	-	-	-	-	-	-	-
ULMFiT 2019.05	4.6	-	-	-	-	-	-	-	-
ULMFiT 2017.05	4.6	-	-	-	-	-	-	-	-
MPNet 2020.04	4.8	-	-	-	-	-	-	-	-
BERT-FiT 2019.05	4.86	-	-	-	-	-	-	-	-
BERT-IDPT-FiT 2019.05	4.88	-	-	-	-	-	-	-	-
XLNet 2020.04	4.9	-	-	-	-	-	-	-	-
block-sparse LSTM 2017.05	5.01	-	-	-	-	-	-	-	-
BERT-CDPT-FiT 2019.05	5.18	-	-	-	-	-	-	-	-
BERT-FiT 2019.05	5.4	-	-	-	-	-	-	-	-
BERT-FiT 2019.05	5.4	-	-	-	-	-	-	-	-
BERT 2020.04	5.4	-	-	-	-	-	-	-	-
CEN-tpc 2017.05	5.48	-	-	-	-	-	-	-	-
oh-LSTM 2018.01	5.9	-	-	-	-	-	-	-	-
Virtual 2018.01	5.9	-	-	-	-	-	-	-	-
Virtual Adv 2017.04	5.91	-	-	-	-	-	-	-	-
Virtual Adversarial 2016.05	5.91	-	-	-	-	-	-	-	-
Virtual Adversarial 2016.05	5.91	-	-	-	-	-	-	-	-
oh-2LSTMp 2017.05	5.94	-	-	-	-	-	-	-	-
Virtual adversarial 2017.05	5.94	-	-	-	-	-	-	-	-
One-hot bi-LSTM 2016.05	5.94	-	-	-	-	-	-	-	-
Adversarial + Virtual Adversarial 2016.05	6.02	-	-	-	-	-	-	-	-
Adversarial + Virtual Adversarial 2016.05	6.09	-	-	-	-	-	-	-	-
Adversarial 2016.05	6.21	-	-	-	-	-	-	-	-
TopicRNN 2017.04	6.24	-	-	-	-	-	-	-	-
CEN-tpc 2017.05	6.24	-	-	-	-	-	-	-	-
TopicRNN 2017.05	6.28	-	-	-	-	-	-	-	-
oh-CNN 2017.05	6.51	-	-	-	-	-	-	-	-
CEN-bow 2017.05	6.52	-	-	-	-	-	-	-	-
oh-2LSTMp 2016.02	6.66	-	-	-	-	-	-	-	-
Random perturbation 2016.05	6.78	-	-	-	-	-	-	-	-
BERT-Feat 2019.05	6.79	-	-	-	-	-	-	-	-
oh-CNN 2016.02	6.81	-	-	-	-	-	-	-	-

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