Neural machine translation with latent tree attention
J Bradbury - US Patent 10,565,318, 2020 - Google Patents
We introduce an attentional neural machine translation model for the task of machine
translation that accomplishes the longstanding goal of natural language processing to take …
translation that accomplishes the longstanding goal of natural language processing to take …
Sentinel gate for modulating auxiliary information in a long short-term memory (lstm) neural network
The technology disclosed presents a novel spatial attention model that uses current hidden
state information of a decoder long short-term memory (LSTM) to guide attention and to …
state information of a decoder long short-term memory (LSTM) to guide attention and to …
Spatial attention model for image captioning
The technology disclosed presents a novel spatial attention model that uses current hidden
state information of a decoder long short-term memory (LSTM) to guide attention and to …
state information of a decoder long short-term memory (LSTM) to guide attention and to …
Hierarchical and interpretable skill acquisition in multi-task reinforcement learning
US11562287B2 - Hierarchical and interpretable skill acquisition in multi-task reinforcement
learning - Google Patents US11562287B2 - Hierarchical and interpretable skill acquisition in …
learning - Google Patents US11562287B2 - Hierarchical and interpretable skill acquisition in …
Dense video captioning
Systems and methods for dense captioning of a video include a multi-layer encoder stack
configured to receive information extracted from a plurality of video frames, a proposal …
configured to receive information extracted from a plurality of video frames, a proposal …
Adaptive attention model for image captioning
The technology disclosed presents a novel spatial attention model that uses current hidden
state information of a decoder long short-term memory (LSTM) to guide attention and to …
state information of a decoder long short-term memory (LSTM) to guide attention and to …
Natural language processing using a neural network
A system includes a neural network for performing a first natural language processing task.
The neural network includes a first rectifier linear unit capable of executing an activation …
The neural network includes a first rectifier linear unit capable of executing an activation …
Sequence-to-sequence prediction using a neural network model
JEK Bradbury, J Gu - US Patent 11,604,956, 2023 - Google Patents
a given neural network model may be trained using a large number of training examples,
proceeding iteratively until the neural network model begins to consistently make similar …
proceeding iteratively until the neural network model begins to consistently make similar …
Natural language processing using context specific word vectors
A system is provided for natural language processing. In some embodiments, the system
includes an encoder for generating context-specific word vectors for at least one input …
includes an encoder for generating context-specific word vectors for at least one input …
Multitask learning as question answering
Approaches for multitask learning as question answering include a method for training that
includes receiving a plurality of training samples including training samples from a plurality …
includes receiving a plurality of training samples including training samples from a plurality …