88 citations · 96 across the 2 of their papers we have counts for
4 papers
Leveraging Pretrained Image Classifiers for Language-Based Segmentation
David Golub, Ahmed El-Kishky, Roberto Martín-Martín
Current semantic segmentation models cannot easily generalize to new object classes unseen during train time: they require additional annotated images and retraining. We propose a…
Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes +3
Recurrent Neural Networks (RNNs) are powerful autoregressive sequence models, but when used to generate natural language their output tends to be overly generic, repetitive, and se…
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He +1
We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network (SynNet). Given a high-performing MC model in one domain, our t…
Character-Level Question Answering with Attention
David Golub, Xiaodong He
We show that a character-level encoder-decoder framework can be successfully applied to question answering with a structured knowledge base. We use our model for single-relation qu…