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홈
SOTA
Question Answering
Question Answering On Babi
Question Answering On Babi
평가 지표
Mean Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Mean Error Rate
Paper Title
Repository
ReMO
1.2%
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning
-
DMN+
-
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
-
EntNet
9.7%
Tracking the World State with Recurrent Entity Networks
RR
0.46%
Recurrent Relational Networks
SDNC
6.4%
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
-
STM
0.39%
Self-Attentive Associative Memory
NUTM
5.6%
Neural Stored-program Memory
RUM
-
Rotational Unit of Memory
GORU
-
Gated Orthogonal Recurrent Units: On Learning to Forget
End-To-End Memory Networks
7.5%
End-To-End Memory Networks
H-Mem
-
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
ours
-
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
LSTM
28.7%
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
-
QRN
0.3%
Query-Reduction Networks for Question Answering
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