Hypernymy, textual entailment, and image captioning can be seen as speci...
We propose a soft attention based model for the task of action recogniti...
We describe an approach for unsupervised learning of a generic, distribu...
Books are a rich source of both fine-grained information, how a characte...
This work aims to address the problem of image-based question-answering ...
Bayesian optimization is an effective methodology for the global optimiz...
Inspired by recent work in machine translation and object detection, we
...
Inspired by recent advances in multimodal learning and machine translati...
Hessian-free (HF) optimization has been successfully used for training d...
We demonstrate that almost all non-parametric dimensionality reduction
m...