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Text Classification on 20News

96.77Accuracy

MTL

Updated 1mo ago

Evaluation Results

Method
MTL 2021.12	96.77	96.77	-	-	-	-
BLSTM-2DCNN 2016.11	96.5	-	-	-	-	-
RCNN 2016.11	96.49	-	-	-	-	-
SDL 2021.12	96.49	96.48	-	-	-	-
SDL 2021.12	96.49	96.48	-	-	-	-
SDL 2021.12	96.2	96.19	-	-	-	-
CTR (forward) 2021.12	95.63	95.62	-	-	-	-
BLSTM-2DPooling 2016.11	95.5	-	-	-	-	-
CTR 2021.12	95.25	95.23	-	-	-	-
HAT 2021.12	95.22	95.21	-	-	-	-
CAT 2021.12	95.17	95.16	-	-	-	-
B-CL 2021.12	95.07	95.04	-	-	-	-
SDL 2021.12	94.72	94.72	-	-	-	-
UCL 2021.12	94.65	94.63	-	-	-	-
BLSTM-Att 2016.11	94.6	-	-	-	-	-
BLSTM 2016.11	94	-	-	-	-	-
HAT 2021.12	93.51	92.93	-	-	-	-
A-GEM 2021.12	93.31	92.95	-	-	-	-
EWC 2021.12	91.86	91.8	-	-	-	-
NFH 2021.12	90.74	90.59	-	-	-	-
A-GEM 2021.12	90.72	90.6	-	-	-	-
UCL 2021.12	90.61	90.46	-	-	-	-
DER++ 2021.12	89.28	89.19	-	-	-	-
SGC 2021.09	88.5	-	-	0.1	-	-
RMDL 2018.05	87.91	-	-	-	-	-
TensorGCN 2021.09	87.74	-	-	-	-	-
RMDL 2018.05	87.62	-	-	-	-	-
TR-BERT 2022.05	87.4	-	-	-	4.22	-
BERT 2021.09	87.21	-	-	0.18	-	-
HeteGCN 2021.09	87.15	-	-	0.15	-	-
RMDL 2018.05	86.73	-	-	-	-	-
BERT_base 2022.05	86.7	-	-	-	1	-
HyperGAT 2021.09	86.62	-	-	0.16	-	-
DNN 2018.05	86.5	-	-	-	-	-
POWER-BERT 2022.05	86.5	-	-	-	2.91	-
BERT w/ shuf. augm. 2021.09	86.46	-	-	0.42	-	-
TextGCN 2021.09	86.34	-	-	-	-	-
DistilBERT 2021.09	86.24	-	-	0.26	-	-
Transkimmer 2022.05	86.1	-	-	-	5.27	-
SVM(TF-IDF) 2018.05	86	-	-	-	-	-
LDS-PN 2026.02	85.4	-	-	-	-	-
SWEM 2021.09	85.16	-	-	0.29	-	-
TART 2026.02	84.9	-	-	-	-	-
HeteGCN 2021.09	84.59	-	-	0.14	-	-
SVM 2018.05	84.57	-	-	-	-	-
OWM 2021.12	84.54	82.73	-	-	-	-
TextEnt-full 2018.06	84.5	-	83.9	-	-	-
TF-IDF + WideMLP 2021.09	84.2	-	-	0.16	-	-
RNN 2018.05	83.75	-	-	-	-	-
Log. Regression 2021.09	83.7	-	-	-	-	-
TextEnt-word 2018.06	83.6	-	82.8	-	-	-
WideMLP 2021.09	83.31	-	-	0.22	-	-
NFH 2021.12	83.28	81.81	-	-	-	-
Shot-DE 2026.02	83.2	-	-	-	-	-
Way-DE 2026.02	83.2	-	-	-	-	-
TextEnt-entity 2018.06	83.1	-	82.4	-	-	-
BoE 2018.06	83.1	-	82.7	-	-	-
ProtoVerb 2026.02	83.1	-	-	-	-	-
CNN 2018.05	82.91	-	-	-	-	-
Wikipedia2Vec 2018.06	82.9	-	82.3	-	-	-
Skip-Gram-Wiki 2018.06	82.2	-	81.5	-	-	-
SPCNet 2026.02	81.7	-	-	-	-	-
Naïve Bayes Classifier 2018.05	81.67	-	-	-	-	-
BERT w/o pos emb 2021.09	81.47	-	-	0.49	-	-
WideMLP-2 2021.09	81.02	-	-	0.23	-	-
TextGCN 2021.09	80.88	-	-	0.54	-	-
ContrastNet 2026.02	80.5	-	-	-	-	-
EWC 2021.12	80.26	78.6	-	-	-	-
SRK 2021.12	79.64	77.89	-	-	-	-
fastText 2021.09	79.38	-	-	0.3	-	-
BOW-SVM 2018.06	79	-	78.3	-	-	-
MLADA 2026.02	77.8	-	-	-	-	-
LaSAML 2026.02	77.7	-	-	-	-	-
LoRA 2026.04	77.03	-	-	-	-	-
ShadowPEFT 2026.04	76.99	-	-	-	-	-
GloVe + WideMLP 2021.09	76.8	-	-	0.11	-	-
DoRA 2026.04	76.78	-	-	-	-	-
ReLoRA 2026.05	76.6	-	-	-	-	-
PortLLM+FT 2026.05	76.4	-	-	-	-	-
ReLoRA 2026.05	76.4	-	-	-	-	-
GloVe + WideMLP-2 2021.09	76.33	-	-	0.18	-	-
ShadowPEFT w/ pretrained shadow 2026.04	76.31	-	-	-	-	-
ReLoRA 2026.05	76.3	-	-	-	-	-
LoRA-Scratch 2026.05	76.2	-	-	-	-	-
ORAL 2026.05	76.1	-	-	-	-	-
PortLLM+FT 2026.05	76.1	-	-	-	-	-
ShadowPEFT w/ random shadow 2026.04	75.88	-	-	-	-	-
PortLLM+FT 2026.05	75.8	-	-	-	-	-
ShadowPEFT 2026.04	75.73	-	-	-	-	-
LoRA-Scratch 2026.05	75.6	-	-	-	-	-
ORAL 2026.05	75.5	-	-	-	-	-
LSTM (pretrain) 2021.09	75.43	-	-	1.72	-	-
DoRA 2026.04	75.31	-	-	-	-	-
LDS-PN 2026.02	75.3	-	-	-	-	-
LoRA 2026.04	75.23	-	-	-	-	-
ORAL 2026.05	74.6	-	-	-	-	-
LoRA-Scratch 2026.05	74.3	-	-	-	-	-
TART 2026.02	73.2	-	-	-	-	-
KAN 2021.12	73.07	69.97	-	-	-	-
Detached Shadow Only (pretrained) 2026.04	72.63	-	-	-	-	-

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