activity
20182023
most citedPARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

5 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues

Yue Feng, Yunlong Jiao, Animesh Prasad +3

User Satisfaction Modeling (USM) is one of the popular choices for task-oriented dialogue systems evaluation, where user satisfaction typically depends on whether the user's task g…

cs.CL2023★ 3 cited

Rethinking Semi-supervised Learning with Language Models

Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras +3

Semi-supervised learning (SSL) is a popular setting aiming to effectively utilize unlabelled data to improve model performance in downstream natural language processing (NLP) tasks…

cs.LG2022

Just Mix Once: Worst-group Generalization by Group Interpolation

Giorgio Giannone, Serhii Havrylov, Jordan Massiah +2

Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data. The consequences are brittle models with poor performance with shi…

cs.CV2022★ 5 cited

PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

Arushi Goel, Yunlong Jiao, Jordan Massiah

Acquiring accurate labels on large-scale datasets is both time consuming and expensive. To reduce the dependency of deep learning models on learning from clean labeled data, severa…

cs.CL2021★ 2 cited

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Fangyu Liu, Yunlong Jiao, Jordan Massiah +2

In NLP, a large volume of tasks involve pairwise comparison between two sequences (e.g. sentence similarity and paraphrase identification). Predominantly, two formulations are used…

eess.AS2021

Improving the expressiveness of neural vocoding with non-affine Normalizing Flows

Adam Gabryś, Yunlong Jiao, Viacheslav Klimkov +2

This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expressive speech vocoding with a revamped Parallel Wav…

eess.AS2021★ 2 cited

Universal Neural Vocoding with Parallel WaveNet

Yunlong Jiao, Adam Gabrys, Georgi Tinchev +3

We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our universal vocoder offers real-time high-quality s…

stat.ML2018★ 2 cited

The Weighted Kendall and High-order Kernels for Permutations

Yunlong Jiao, Jean-Philippe Vert

We propose new positive definite kernels for permutations. First we introduce a weighted version of the Kendall kernel, which allows to weight unequally the contributions of differ…