Document Classification on Yahoo Answers
76.1AccuracyDPCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| DPCNN2019.09 | 76.1 | |
| EXAM2019.09 | 74.8 | |
| DNC-CUWWriting Strategy=Cached Uniform Writing2019.01 | 74.3 | |
| ULMFiT (Small data)Training data percentage=20%2019.09 | 74.3 | |
| DNC-UWWriting Strategy=Uniform Writing2019.01 | 74.2 | |
| D-LSTM2019.01 | 73.7 | |
| Region Embedding2019.01 | 73.7 | |
| WC-Reg2019.09 | 73.7 | |
| VDCNN2019.01 | 73.4 | |
| VDCNN2019.09 | 73.4 | |
| ULMFIT (Tiny data)Training data percentage=8%2019.09 | 73.3 | |
| ColD-Fusion2022.12 | 72.69 | |
| Finetune2022.12 | 72.49 | |
| MUPPET2022.12 | 71.9 | |
| Multitask2022.12 | 71.71 | |
| DRNN2019.09 | 70.3 | |
| FlowGMMn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=semi-supervised2019.12 | 57.4 | |
| Π-modeln_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=semi-supervised2019.12 | 56.6 | |
| 3-Layer NN + Dropoutn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=labeled data only2019.12 | 55.6 | |
| Logistic Regressionn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=labeled data only2019.12 | 54.9 | |
| RBF Label Spreadingn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=semi-supervised2019.12 | 30.4 | |
| kNNn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=labeled data only2019.12 | 28.4 | |
| kNN Label Spreadingn_l=800, n_u=50k, classes=10, Backbone=BERT embeddings, training=semi-supervised2019.12 | 25.6 |