Name
Title | ||
|---|---|---|
Dropout during inference as a model for neurological degeneration in an image captioning network. |
Abstract | ||
|---|---|---|
We replicate a variation of the image captioning architecture by Vinyals et al. (2015), then introduce dropout during inference mode to simulate the effects of neurodegenerative diseases like Alzheimeru0027s disease (AD) and Wernickeu0027s aphasia (WA). We evaluate the effects of dropout on language production by measuring the KL-divergence of word frequency distributions and other linguistic metrics as dropout is added. We find that the generated sentences most closely approximate the word frequency distribution of the training corpus when using a moderate dropout of 0.4 during inference. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computation and Language | Closed captioning,Word lists by frequency,Inference,Computer science,Aphasia,Natural language processing,Artificial intelligence,Replicate |
DocType | Volume | Citations |
Journal | abs/1808.03747 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bai Li | 1 | 0 | 3.72 |
| Ran Zhang | 2 | 13 | 8.00 |
| Frank Rudzicz | 3 | 231 | 44.82 |