Yunlong Jiao

Orcid: 0000-0002-0776-0550

According to our database1, Yunlong Jiao authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Robust Weak Supervision with Variational Auto-Encoders.
Proceedings of the International Conference on Machine Learning, 2023

On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Semi-supervised Learning with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Just Mix Once: Worst-group Generalization by Group Interpolation.
CoRR, 2022

PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels.
CoRR, 2022

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Universal Neural Vocoding with Parallel Wavenet.
Proceedings of the IEEE International Conference on Acoustics, 2021

2018
The Kendall and Mallows Kernels for Permutations.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

The Weighted Kendall and High-order Kernels for Permutations.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. (Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein).
PhD thesis, 2017

2016
Controlling the distance to a Kemeny consensus without computing it.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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