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MULTI-TASK MULTI-MODAL MACHINE LEARNING MODEL

机译:多任务多模态机器学习模型

摘要

Methods, systems, and apparatus, including computer programs encoded on computer storage media for training a machine learning model to perform multiple machine learning tasks from multiple machine learning domains. One system includes a machine learning model that includes multiple input modality neural networks corresponding to respective different modalities and being configured to map received data inputs of the corresponding modality to mapped data inputs from a unified representation space; an encoder neural network configured to process mapped data inputs from the unified representation space to generate respective encoder data outputs; a decoder neural network configured to process encoder data outputs to generate respective decoder data outputs from the unified representation space; and multiple output modality neural networks corresponding to respective different modalities and being configured to map decoder data outputs to data outputs of the corresponding modality.
机译:方法,系统和装置,包括编码在计算机存储介质上的计算机程序,用于训练机器学习模型以执行来自多个机器学习域的多个机器学习任务。一个系统包括机器学习模型,该机器学习模型包括对应于各自不同模态的多个输入模态神经网络,并且被配置为将对应模态的接收数据输入映射到来自统一表示空间的映射数据输入;编码器神经网络,被配置为处理来自统一表示空间的映射数据输入以生成相应的编码器数据输出;解码器神经网络,被配置为处理编码器数据输出以从统一表示空间生成相应的解码器数据输出;多个输出模态神经网络分别对应于不同的模态并被配置为将解码器数据输出映射到相应模态的数据输出。

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