12 citations · 17 across the 3 of their papers we have counts for
6 papers
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
Transformers have been successful for many natural language processing tasks. However, applying transformers to the video domain for tasks such as long-term video generation and sc…
Robustifying Sequential Neural Processes
Jaesik Yoon, Gautam Singh, Sungjin Ahn
When tasks change over time, meta-transfer learning seeks to improve the efficiency of learning a new task via both meta-learning and transfer-learning. While the standard attentio…
Sequential Neural Processes
Gautam Singh, Jaesik Yoon, Youngsung Son +1
Neural Processes combine the strengths of neural networks and Gaussian processes to achieve both flexible learning and fast prediction in stochastic processes. However, a large cla…
One-Shot Learning for Text-to-SQL Generation
Dongjun Lee, Jaesik Yoon, Jongyun Song +2
Most deep learning approaches for text-to-SQL generation are limited to the WikiSQL dataset, which only supports very simple queries. Recently, template-based and sequence-to-seque…
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon, Ousmane Dia +3
Learning to infer Bayesian posterior from a few-shot dataset is an important step towards robust meta-learning due to the model uncertainty inherent in the problem. In this paper,…
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA
Jaekoo Lee, Byunghan Lee, Jongyoon Song +4
With a new era of cloud and big data, Database Management Systems (DBMSs) have become more crucial in numerous enterprise business applications in all the industries. Accordingly,…