19 citations · 22 across the 3 of their papers we have counts for
3 papers
stat.ML2022★ 2 cited
Improving VAE-based Representation Learning
Mingtian Zhang, Tim Z. Xiao, Brooks Paige +1
Latent variable models like the Variational Auto-Encoder (VAE) are commonly used to learn representations of images. However, for downstream tasks like semantic classification, the…
cs.CL2021★ 1 cited
Locally-Contextual Nonlinear CRFs for Sequence Labeling
Harshil Shah, Tim Xiao, David Barber
Linear chain conditional random fields (CRFs) combined with contextual word embeddings have achieved state of the art performance on sequence labeling tasks. In many of these tasks…
cs.CL2020★ 19 cited
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers
Tim Z. Xiao, Aidan N. Gomez, Yarin Gal
We detect out-of-training-distribution sentences in Neural Machine Translation using the Bayesian Deep Learning equivalent of Transformer models. For this we develop a new measure…