Wilker Aziz

Wilker Aziz

Universiteit van Amsterdam

H-index: 24

Europe-Netherlands

About Wilker Aziz

Wilker Aziz, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Machine Learning, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?

Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)

Predict the Next Word

Uncertainty in natural language generation: From theory to applications

What comes next? evaluating uncertainty in neural text generators against human production variability

VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking

GoURMET–Machine Translation for Low-Resourced Languages

Statistical model criticism of variational auto-encoders

Wilker Aziz Information

University

Position

___

Citations(all)

3026

Citations(since 2020)

2378

Cited By

1455

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

40

i10Index(since 2020)

29

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

Wilker Aziz Skills & Research Interests

Machine Learning

Natural Language Processing

Top articles of Wilker Aziz

Title

Journal

Author(s)

Publication Date

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?

arXiv preprint arXiv:2402.16102

Joris Baan

Raquel Fernández

Barbara Plank

Wilker Aziz

2024/2/25

Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)

Raúl Vázquez

Hande Celikkanat

Dennis Ulmer

Jörg Tiedemann

Swabha Swayamdipta

...

2024/3

Predict the Next Word

arXiv preprint arXiv:2402.17527

Evgenia Ilia

Wilker Aziz

2024/2/27

Uncertainty in natural language generation: From theory to applications

arXiv preprint arXiv:2307.15703

Joris Baan

Nico Daheim

Evgenia Ilia

Dennis Ulmer

Haau-Sing Li

...

2023/7/28

What comes next? evaluating uncertainty in neural text generators against human production variability

Mario Giulianelli

Joris Baan

Wilker Aziz

Raquel Fernández

Barbara Plank

2023/5/19

VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking

Angelos Nalmpantis

Apostolos Panagiotopoulos

John Gkountouras

Konstantinos Papakostas

Wilker Aziz

2023

GoURMET–Machine Translation for Low-Resourced Languages

Peggy van der Kreeft

Alexandra Birch

Sevi Sariisik

Felipe Sánchez‐Martínez

Wilker Aziz

2022/6

Statistical model criticism of variational auto-encoders

arXiv preprint arXiv:2204.03030

Claartje Barkhof

Wilker Aziz

2022/4/6

Stop measuring calibration when humans disagree

arXiv preprint arXiv:2210.16133

Joris Baan

Wilker Aziz

Barbara Plank

Raquel Fernandez

2022/10/28

Surprise language challenge: Developing a neural machine translation system between Pashto and English in two months

Alexandra Birch

Barry Haddow

Antonio Valerio Miceli-Barone

Jindřich Helcl

Jonas Waldendorf

...

2021/8

Editing factual knowledge in language models

arXiv preprint arXiv:2104.08164

Nicola De Cao

Wilker Aziz

Ivan Titov

2021/4/16

Disease normalization with graph embeddings

Dhruba Pujary

Camilo Thorne

Wilker Aziz

2021

Highly parallel autoregressive entity linking with discriminative correction

arXiv preprint arXiv:2109.03792

Nicola De Cao

Wilker Aziz

Ivan Titov

2021/9/8

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

arXiv preprint arXiv:2108.04718

Bryan Eikema

Wilker Aziz

2021/8/10

Sparse communication via mixed distributions

arXiv preprint arXiv:2108.02658

António Farinhas

Wilker Aziz

Vlad Niculae

André FT Martins

2021/8/5

Is MAP decoding all you need? the inadequacy of the mode in neural machine translation

arXiv preprint arXiv:2005.10283

Bryan Eikema

Wilker Aziz

2020/5/20

How do decisions emerge across layers in neural models? interpretation with differentiable masking

arXiv preprint arXiv:2004.14992

Nicola De Cao

Michael Schlichtkrull

Wilker Aziz

Ivan Titov

2020/4/30

Block neural autoregressive flow

Nicola De Cao

Wilker Aziz

Ivan Titov

2020/8/6

Efficient marginalization of discrete and structured latent variables via sparsity

Advances in Neural Information Processing Systems

Gonçalo Correia

Vlad Niculae

Wilker Aziz

André Martins

2020

Latent transformations for discrete-data normalising flows

arXiv preprint arXiv:2006.06346

Rob Hesselink

Wilker Aziz

2020/6/11

See List of Professors in Wilker Aziz University(Universiteit van Amsterdam)