Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Question Answering On Babi

Métriques

Mean Error Rate

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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

0 of 14 row(s) selected.