Yucen Luo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Unsupervised Learning

Latent Variable Models

Clustering Procedure

Domain Adaptation

Top Venues

Publications

Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Yucen Luo, Niki Kilbertus
Learning Counterfactually Invariant Predictors. Trans. Mach. Learn. Res. 2024 (2024)
Zhijie Deng, Yucen Luo
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. ICCV (2023)
Zhijie Deng, Yucen Luo
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. CoRR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. AISTATS (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. CoRR (2022)
Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Niki Kilbertus, Yucen Luo
Learning Counterfactually Invariant Predictors. CoRR (2022)
Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf
Spectral Representation Learning for Conditional Moment Models. CoRR (2022)
Yong Ren, Yucen Luo, Jun Zhu
Improving Generative Moment Matching Networks with Distribution Partition. AAAI (2021)
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. CoRR (2020)
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. ICLR (2020)
Zhijie Deng, Yucen Luo, Jun Zhu
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. ICCV (2019)
Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. CoRR (2019)
Zhijie Deng, Yucen Luo, Jun Zhu
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation. CoRR (2019)
Yucen Luo, Jun Zhu, Tomas Pfister
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels. CoRR (2019)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. CoRR (2018)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. NeurIPS (2018)
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. CVPR (2018)
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
ZhuSuan: A Library for Bayesian Deep Learning. CoRR (2017)
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning. CoRR (2017)
Yong Ren, Jun Zhu, Jialian Li, Yucen Luo
Conditional Generative Moment-Matching Networks. NIPS (2016)
Yong Ren, Jialian Li, Yucen Luo, Jun Zhu
Conditional Generative Moment-Matching Networks. CoRR (2016)