Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction
MC Younis - Computerized Medical Imaging and Graphics, 2021 - Elsevier
Novel corona-virus (nCOV) has been declared as a pandemic that started from the city
Wuhan of China. This deadly virus is infecting people rapidly and has targeted 4.93 million …
Wuhan of China. This deadly virus is infecting people rapidly and has targeted 4.93 million …
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 …
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 …
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 …