Yunlong Jiao
Yunlong Jiao
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Robust Weak Supervision with Variational Auto-Encoders
A VAE model with specifically designed components to perform weak supervision. Compared to existing weak supervision methods, it is considerably more robust to labelling functions design.
Francesco Tonolini
,
Nikolaos Aletras
,
Yunlong Jiao
,
Gabriella Kazai
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Rethinking Semi-supervised Learning with Language Models
Semi-supervised learning (SSL) is a popular setting aiming to effectively utilize unlabelled data to improve model performance in …
Zhengxiang Shi
,
Francesco Tonolini
,
Nikolaos Aletras
,
Emine Yilmaz
,
Gabriella Kazai
,
Yunlong Jiao
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Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
User Satisfaction Modeling (USM) is one of the popular choices for task-oriented dialogue systems evaluation, where user satisfaction …
Yue Feng
,
Yunlong Jiao
,
Animesh Prasad
,
Nikolaos Aletras
,
Emine Yilmaz
,
Gabriella Kazai
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Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Bootstrapping an unsupervised sentence encoder by self-distilling knowledge between its bi-encoder and cross-encoder forms, enhancing each other iteratively.
Fangyu Liu
,
Yunlong Jiao
,
Jordan Massiah
,
Emine Yilmaz
,
Serhii Havrylov
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Blogpost
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expressive …
Adam Gabrys
,
Yunlong Jiao
,
Viacheslav Klimkov
,
Daniel Korzekwa
,
Roberto Barra-Chicote
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DOI
Universal Neural Vocoding with Parallel WaveNet
We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our …
Yunlong Jiao
,
Adam Gabrys
,
Georgi Tinchev
,
Bartosz Putrycz
,
Daniel Korzekwa
,
Viacheslav Klimkov
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DOI
The Weighted Kendall and High-order Kernels for Permutations
We propose new positive definite kernels for permutations. First we introduce a weighted version of the Kendall kernel, which allows to …
Yunlong Jiao
,
Jean-Philippe Vert
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Controlling the distance to a Kemeny consensus without computing it
Due to its numerous applications, rank aggregation has become a problem of major interest across many fields of the computer science …
Yunlong Jiao
,
Anna Korba
,
Eric Sibony
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The Kendall and Mallows Kernels for Permutations
We show that the widely used Kendall tau correlation coefficient is a positive definite kernel for permutations. It offers a …
Yunlong Jiao
,
Jean-Philippe Vert
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