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SOTA
Text Classification
Text Classification On Ag News
Text Classification On Ag News
Metrics
Error
Results
Performance results of various models on this benchmark
Columns
Model Name
Error
Paper Title
Repository
DNC+CUW
6.10
Learning to Remember More with Less Memorization
-
XLNet
4.45
XLNet: Generalized Autoregressive Pretraining for Language Understanding
-
VDCN
8.67
Very Deep Convolutional Networks for Text Classification
-
EXAM
7
Explicit Interaction Model towards Text Classification
-
SVDCNN
9.45
Squeezed Very Deep Convolutional Neural Networks for Text Classification
-
L MIXED
4.95
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
-
SWEM-concat
7.34
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
-
Seq2CNN with GWS(50)
9.64
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
-
DRNN
5.53
Disconnected Recurrent Neural Networks for Text Categorization
-
LEAM
7.55
Joint Embedding of Words and Labels for Text Classification
-
fastText
7.5
Bag of Tricks for Efficient Text Classification
-
DPCNN
6.87
Deep Pyramid Convolutional Neural Networks for Text Categorization
ULMFiT (Small data)
6.3
Sampling Bias in Deep Active Classification: An Empirical Study
-
BERT-ITPT-FiT
4.8
How to Fine-Tune BERT for Text Classification?
-
Char-level CNN
9.51
Character-level Convolutional Networks for Text Classification
-
Capsule-B
7.4
Investigating Capsule Networks with Dynamic Routing for Text Classification
-
CCCapsNet
7.61
Compositional Coding Capsule Network with K-Means Routing for Text Classification
-
Balanced+bi-leaf-RNN
7.9
On Tree-Based Neural Sentence Modeling
-
ToWE-SG
14.0
Task-oriented Word Embedding for Text Classification
ULMFiT
5.01
Universal Language Model Fine-tuning for Text Classification
-
0 of 21 row(s) selected.
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