HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Music Modeling On Nottingham

평가 지표

NLL

Parameters

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	NLL	Parameters	Paper Title	Repository
Seq-U-Net	2.97	1.7M	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
GRU	3.46	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Transformer	3.34	-	R-Transformer: Recurrent Neural Network Enhanced Transformer
TCN	2.783	1.7M	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
LSTM	3.29	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
R-Transformer	2.37	-	R-Transformer: Recurrent Neural Network Enhanced Transformer
TCN	3.07	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
RNN	4.05	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

0 of 8 row(s) selected.