Recent advances and trends in multimodal deep learning: A review
Deep Learning has implemented a wide range of applications and has become increasingly
popular in recent years. The goal of multimodal deep learning is to create models that can …
popular in recent years. The goal of multimodal deep learning is to create models that can …
Deep neural network-based decision network
AR Johansen, B McCann, J Bradbury… - US Patent …, 2022 - Google Patents
The technology disclosed proposes using a combination of computationally cheap, less-
accurate bag of words (BoW) model and computationally expensive, more-accurate long …
accurate bag of words (BoW) model and computationally expensive, more-accurate long …
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 …
Generating dual sequence inferences using a neural network model
A computer-implemented method for dual sequence inference using a neural network model
includes generating a codependent representation based on a first input representation of a …
includes generating a codependent representation based on a first input representation of a …
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 …
Sequence-to-sequence prediction using a neural network model
A method for sequence-to-sequence prediction using a neural network model includes
generating an encoded representation based on an input sequence using an encoder of the …
generating an encoded representation based on an input sequence using an encoder of the …
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 …
End-to-end speech recognition with policy learning
The disclosed technology teaches a deep end-to-end speech recognition model, including
using multi-objective learning criteria to train a deep end-to-end speech recognition model …
using multi-objective learning criteria to train a deep end-to-end speech recognition model …
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 …