Changyou Chen

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

2020

Text generation from a knowledge base aims to translate knowledge triples to naturallanguage descriptions. Most existing methods ignore the faithfulness between a generated text description and the original table, leading to generated information that goes …

Learning Manifold Implicitly via Explicit Heat-Kernel Learning

2020 · arXiv (Cornell University)

Manifold learning is a fundamental problem in machine learning with numerous applications. Most of the existing methods directly learn the low-dimensional embedding of the data in some high-dimensional space, and usually lack the flexibility of …