2019
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
NeurIPS 2019poster
Learning representations that accurately capture long-range dependencies in sequential inputs --- including text, audio, and genomic data --- is a key problem in deep learning. Feed-forward convolutional models capture only feature interactions within finite receptive fields while recurrent architec…