Work

AlignFlow: Learning from multiple domains via normalizing flows.

Year: 2019

Type: conference-paper

Source: International Conference on Learning Representations

Authors: Aditya Grover, Christopher G. Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

Institution: Stanford University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2965948626

FWCI: 0.287

Cites: 18

Cited by: 3

Related to: 10