472 citations · 647 across the 20 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 1 cited
Cooperative image captioning
Gilad Vered, Gal Oren, Yuval Atzmon +1
When describing images with natural language, the descriptions can be made more informative if tuned using downstream tasks. This is often achieved by training two networks: a "spe…
cs.LG2019★ 1 cited
Few-Shot Learning with Per-Sample Rich Supervision
Roman Visotsky, Yuval Atzmon, Gal Chechik
Learning with few samples is a major challenge for parameter-rich models like deep networks. In contrast, people learn complex new concepts even from very few examples, suggesting…