Table 1: 
Comparing systems.
SystemSymbolic FeaturesNeural FeaturesOpen Source 
Symbolic InputsRaw InputsDeclarativeProb/Logic InferenceRule InductionEmbed. SymbolsEnd-to-end NeuralBackprop. to EncodersArchitecture AgnosticMulti-Task Learning
MLN ✓  ✓ ✓       ✓ 
FACTORIE ✓   ✓       ✓ 
CCM ✓ ✓ ✓ ✓       ✓ 
PSL ✓  ✓ ✓       ✓ 
 
LRNNs ✓     ✓ ✓     
RelNNs ✓     ✓ ✓    ✓ 
 
LTNs ✓  ✓ ✓  ✓ ✓    ✓ 
TensorLog ✓  ✓ ✓  ✓ ✓    ✓ 
 
NTPs ✓  ✓ ✓ ✓ ✓ ✓    ✓ 
Neural LP ✓    ✓ ✓ ✓    ✓ 
DRUM ✓    ✓ ✓ ✓    ✓ 
NLMs ✓    ✓ ✓ ✓    ✓ 
 
DeepProbLog ✓ ✓ ✓ ✓ ✓ ✓  ✓ ✓  ✓ 
DPL ✓ ✓ ✓ ✓  ✓  ✓ ✓  ✓ 
DLMs ✓ ✓ ✓ ✓  ✓ ✓ ✓ ✓   
DRaiL ✓ ✓ ✓ ✓  ✓  ✓ ✓ ✓ ✓ 
SystemSymbolic FeaturesNeural FeaturesOpen Source 
Symbolic InputsRaw InputsDeclarativeProb/Logic InferenceRule InductionEmbed. SymbolsEnd-to-end NeuralBackprop. to EncodersArchitecture AgnosticMulti-Task Learning
MLN ✓  ✓ ✓       ✓ 
FACTORIE ✓   ✓       ✓ 
CCM ✓ ✓ ✓ ✓       ✓ 
PSL ✓  ✓ ✓       ✓ 
 
LRNNs ✓     ✓ ✓     
RelNNs ✓     ✓ ✓    ✓ 
 
LTNs ✓  ✓ ✓  ✓ ✓    ✓ 
TensorLog ✓  ✓ ✓  ✓ ✓    ✓ 
 
NTPs ✓  ✓ ✓ ✓ ✓ ✓    ✓ 
Neural LP ✓    ✓ ✓ ✓    ✓ 
DRUM ✓    ✓ ✓ ✓    ✓ 
NLMs ✓    ✓ ✓ ✓    ✓ 
 
DeepProbLog ✓ ✓ ✓ ✓ ✓ ✓  ✓ ✓  ✓ 
DPL ✓ ✓ ✓ ✓  ✓  ✓ ✓  ✓ 
DLMs ✓ ✓ ✓ ✓  ✓ ✓ ✓ ✓   
DRaiL ✓ ✓ ✓ ✓  ✓  ✓ ✓ ✓ ✓ 
View Large
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept