Yucen Luo

According to our database, Yucen Luo authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation.

Zhijie Deng, Yucen Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Teaching by Data Hallucination.

Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Spectral Representation Learning for Conditional Moment Models.

Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf

CoRR, 2022

Learning Counterfactually Invariant Predictors.

Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Niki Kilbertus, Yucen Luo

CoRR, 2022

2021

Improving Generative Moment Matching Networks with Distribution Partition.

Yong Ren, Yucen Luo, Jun Zhu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models.

Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures.

Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang

CoRR, 2019

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels.

Yucen Luo, Jun Zhu, Tomas Pfister

CoRR, 2019

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation.

Zhijie Deng, Yucen Luo, Jun Zhu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Semi-crowdsourced Clustering with Deep Generative Models.

Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.

Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

ZhuSuan: A Library for Bayesian Deep Learning.

Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

CoRR, 2017

2016

Conditional Generative Moment-Matching Networks.

Yong Ren, Jun Zhu, Jialian Li, Yucen Luo

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016