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Character-level Prediction on PTB (test)

1.045BPC (Test)CKCNN-Big
0.97081.471651.97252.47335Aug 14, 2018May 26, 2019Mar 7, 2020Dec 18, 2020Sep 29, 2021Jul 12, 2022Apr 24, 2023

Evaluation results

MethodLinks
CKCNN-BigNumber of Parameters=1M2021.021.045——
TrellisNetSize=13.4M2018.101.158——
TrellisNetNumber of Parameters=8M2021.021.158——
AWD-LSTM+PDR#Params=13.8M2018.081.169——
AWD-LSTM#Params=13.8M2018.081.175——
AWD-LSTMSize=13.8M2018.101.175——
Quasi-RNNSize=13.8M2018.101.187——
Fast-Slow-LSTM-2Size=7.2M2018.101.19——
FS-LSTM-4#Params=6.5M2018.081.193——
NAS Cell#Params=16.3M2018.081.214——
NAS CellSize=16.3M2018.101.214——
HyperLSTM#Params=14.4M2018.081.219——
HyperLSTMSize=14.4M2018.101.219——
Independently RNNSize=12.0M2018.101.23——
HM-LSTM2018.081.24——
LEM# units=1024, # params=5M2021.101.25——
Zoneout LSTM2018.081.27——
Generic TCNSize=3.0M2018.101.31——
TCNNumber of Parameters=70K2021.021.31——
LSTM# units=1000, # params=5M2021.101.36——
LSTMNumber of Parameters=70K2021.021.36——
GRU# units=1024, # params=3M2021.101.37——
GRUNumber of Parameters=70K2021.021.37——
LSTMBPTT length (T)=1502023.041.41——
Lipschitz RNN# units=764, # params=1.3M2021.101.42——
LSTMBPTT length (T)=3002023.041.43——
coRNN# units=1024, # params=2.3M2021.101.46——
asRNNBPTT length (T)=1502023.041.46——
nnRNN# units=1437, # params=1.3M2021.101.47——
nnRNNBPTT length (T)=1502023.041.47——
asRNNBPTT length (T)=3002023.041.49——
nnRNNBPTT length (T)=3002023.041.49——
expRNNBPTT length (T)=1502023.041.49——
expRNN# units=1437, # params=1.3M2021.101.51——
expRNNBPTT length (T)=3002023.041.52——
anti.sym RNN# units=1437, # params=1.3M2021.101.6——
EURNNBPTT length (T)=1502023.041.61——
EURNNBPTT length (T)=3002023.041.62——
RNN-orthBPTT length (T)=1502023.041.62——
RNN-orthBPTT length (T)=3002023.041.66——
RNNBPTT length (T)=1502023.042.89——
RNNBPTT length (T)=3002023.042.9——
Antisymmetric RNN# params=≈1.32M2020.06—1.61.64
EURNN# params=≈1.32M2020.06—1.611.62
Exponential RNN# params=≈1.32M2020.06—1.491.52
Lipschitz RNN using Euler# params=≈1.32M2020.06—1.431.46
Non-normal RNN# params=≈1.32M2020.06—1.471.49
RNN baseline# params=≈1.32M2020.06—2.892.9
RNN-orth# params=≈1.32M2020.06—1.621.66