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Question Answering On Babi

Metrics

Mean Error Rate

Results

Performance results of various models on this benchmark

Model Name
Mean Error Rate
Paper TitleRepository
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-
EntNet9.7%Tracking the World State with Recurrent Entity Networks
RR0.46%Recurrent Relational Networks
SDNC6.4%Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes-
STM0.39%Self-Attentive Associative Memory
NUTM5.6%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
LSTM28.7%Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes-
QRN0.3%Query-Reduction Networks for Question Answering
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Question Answering On Babi | SOTA | HyperAI