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Found 4 papers, 1 papers with code
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Injecting discrete logical constraints into neural network learning is one of the main challenges in neuro-symbolic AI.
Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR
Recurrent Neural Network Language Models (RNNLMs) have started to be used in various fields of speech recognition due to their outstanding performance.
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
To tackle this problem we introduce a novel concept of a trainable gate function.
Accelerating recurrent neural network language model based online speech recognition system
This paper presents methods to accelerate recurrent neural network based language models (RNNLMs) for online speech recognition systems.
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