Research Tags: Orobla

Learning simpler language models with the differential state framework (Neural Computation, 2017)

Event ordering with a generalized model for sieve prediction ranking (Natural Language Processing, 2017) 

Piecewise latent variables for neural variational text processing (EMNLP, 2017)

Adversary resistant deep neural networks with an application to malware detection (KDD, 2017) 

Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild (IEEE Computer Vision and Pattern Recognition, 2017)

Smart Library: Identifying books on library shelves using supervised deep learning for scene text reading (Digital Libraries, 2017)

Unifying adversarial training algorithms with data gradient regularization (Neural Computation, 2017)

Using prerequisites to extract concept maps from textbooks (ACM Information and Knowledge Management, 2016)