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Tim Z. Xiao
Tim Z. Xiao
University of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers
TZ Xiao, AN Gomez, Y Gal
NeurIPS 2019 Workshop on Bayesian Deep Learning (arXiv preprint arXiv:2006 …, 2019
34*2019
Improving VAE-based Representation Learning
M Zhang, TZ Xiao, B Paige, D Barber
arXiv preprint arXiv:2205.14539, 2022
112022
You Need Only Uncertain Answers: Data Efficient Multilingual Question Answering
Z Lyu, D Duolikun, B Dai, Y Yao, P Minervini, TZ Xiao, Y Gal
ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2020
102020
A partial reconfiguration controller for altera stratix v fpgas
Z Xiao, D Koch, M Lujan
International Conference on Field Programmable Logic and Applications (FPL …, 2016
92016
Iterative Teaching by Data Hallucination
Z Qiu, W Liu, TZ Xiao, Z Liu, U Bhatt, Y Luo, A Weller, B Schölkopf
AISTATS 2023 (arXiv preprint arXiv:2210.17467), 2022
82022
Locally-Contextual Nonlinear CRFs for Sequence Labeling
H Shah, T Xiao, D Barber
arXiv preprint arXiv:2103.16210, 2021
62021
Out-of-Distribution Detection with Class Ratio Estimation
M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh
NeurIPS 2022 Workshop on Machine Learning Safety (arXiv preprint arXiv:2206 …, 2022
5*2022
Trading Information between Latents in Hierarchical Variational Autoencoders
TZ Xiao, R Bamler
ICLR 2023 (arXiv preprint arXiv:2302.04855), 2023
32023
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
A Zhang, TZ Xiao, W Liu, R Bamler, D Wischik
arXiv preprint arXiv:2404.08679, 2024
2024
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models
TZ Xiao, J Zenn, R Bamler
arXiv preprint arXiv:2310.19653, 2023
2023
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
TZ Xiao, W Liu, R Bamler
NeurIPS 2023 Workshop on Unifying Representations (arXiv preprint arXiv:2401 …, 2023
2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
TZ Xiao, J Zenn, R Bamler
NeurIPS 2023 Workshop on Distribution Shifts (arXiv preprint arXiv:2312.02168), 2023
2023
Solipsistic Reinforcement Learning
M Zhang, P Hayes, TZ Xiao, A Zhang, D Barber
ICLR 2021 Workshop on Self-Supervision for Reinforcement Learning, 2021
2021
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Articles 1–13