Search Results for author: Hong-in Lee

Found 2 papers, 1 papers with code

Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning

1 code implementation16 Jun 2022 Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, Jongeun Choi

The spatial roto-translation equivariance, or the SE(3)-equivariance can be exploited to improve the sample efficiency for learning robotic manipulation.

Dual Task Framework for Improving Persona-grounded Dialogue Dataset

no code implementations11 Feb 2022 Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo

This paper introduces a simple yet effective data-centric approach for the task of improving persona-conditioned dialogue agents.

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