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2020 – today
- 2024
[j1]Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Yucen Luo, Niki Kilbertus:
Learning Counterfactually Invariant Predictors. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [c8]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. AISTATS 2023: 9892-9913 - [c7]Zhijie Deng, Yucen Luo:
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. ICCV 2023: 551-561 - [i12]Zhijie Deng, Yucen Luo:
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. CoRR abs/2304.02841 (2023) - 2022
- [i11]Francesco Quinzan, Cecilia Casolo, Krikamol Muandet
, Niki Kilbertus, Yucen Luo:
Learning Counterfactually Invariant Predictors. CoRR abs/2207.09768 (2022) - [i10]Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf:
Spectral Representation Learning for Conditional Moment Models. CoRR abs/2210.16525 (2022) - [i9]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. CoRR abs/2210.17467 (2022) - 2021
- [c6]Yong Ren, Yucen Luo, Jun Zhu:
Improving Generative Moment Matching Networks with Distribution Partition. AAAI 2021: 9403-9410 - 2020
- [c5]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 - [i8]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 abs/2004.00353 (2020)
2010 – 2019
- 2019
- [c4]Zhijie Deng, Yucen Luo, Jun Zhu:
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. ICCV 2019: 9943-9952 - [i7]Zhijie Deng, Yucen Luo, Jun Zhu:
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation. CoRR abs/1903.09980 (2019) - [i6]Yucen Luo, Jun Zhu, Tomas Pfister:
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels. CoRR abs/1909.09338 (2019) - [i5]Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang:
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. CoRR abs/1911.09804 (2019) - 2018
- [c3]Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang:
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. CVPR 2018: 8896-8905 - [c2]Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang:
Semi-crowdsourced Clustering with Deep Generative Models. NeurIPS 2018: 3216-3226 - [i4]Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang:
Semi-crowdsourced Clustering with Deep Generative Models. CoRR abs/1810.11971 (2018) - 2017
- [i3]Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou:
ZhuSuan: A Library for Bayesian Deep Learning. CoRR abs/1709.05870 (2017) - [i2]Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang:
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning. CoRR abs/1711.00258 (2017) - 2016
- [c1]Yong Ren, Jun Zhu, Jialian Li, Yucen Luo:
Conditional Generative Moment-Matching Networks. NIPS 2016: 2928-2936 - [i1]Yong Ren, Jialian Li, Yucen Luo, Jun Zhu:
Conditional Generative Moment-Matching Networks. CoRR abs/1606.04218 (2016)
Coauthor Index
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