Unsupervised image-to-image (I2I) translation aims to learn a domain mapping function that can preserve the semantics of the input images without paired data.
Unsupervised image-to-image (I2I) translation, which aims to learn a domain mapping function without paired data, is very challenging because the function is highly under-constrained.
The paper presents details of our system in the IWSLT Video Speech Translation evaluation.
Network quantization is an effective method for the deployment of neural networks on memory and energy constrained mobile devices.
We introduce Texygen, a benchmarking platform to support research on open-domain text generation models.
Automatically generating coherent and semantically meaningful text has many applications in machine translation, dialogue systems, image captioning, etc.
Ranked #1 on Text Generation on COCO Captions