81 citations
- Université de MontréalCA11 papers
- McGill UniversityCA7 papers
- Google DeepMind (United Kingdom)GB3 papers
- Brain (Germany)DE2 papers
- Flatiron Health (United States)US2 papers
- Flatiron Institute2 papers
- Google (United States)US2 papers
- Peking UniversityCN2 papers
- Samsung (South Korea)KR2 papers
- Tencent (China)CN2 papers
- Ahlia UniversityBH1 paper
- Brown UniversityUS1 paper
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 9 cited
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung
Modeling semantic plausibility requires commonsense knowledge about the world and has been used as a testbed for exploring various knowledge representations. Previous work has focu…
cs.LG2019★ 65 cited
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i.e., embeddings) of entities and relations. However, t…
stat.ML2019★ 32 cited
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha, Han Zhang, Anirudh Goyal +3
Recent work by Brock et al. (2018) suggests that Generative Adversarial Networks (GANs) benefit disproportionately from large mini-batch sizes. Unfortunately, using large batches i…