Wilker Aziz
30 papers · 2010–2025 · 11 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (48) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
📈
Trend Setter
🗃️
Keyword Collector
(111)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Silver
❓
The Questioner
(4)
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(16)
Artificial Intelligence
(14)
Natural Language Processing
(14)
Machine Learning
(12)
Applications
(11)
Models
(11)
Optimization & Theory
(9)
Core AI
(7)
Learning Types · Deep Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Architectures
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Keywords
variational inference
(8)
neural machine translation
(7)
latent variable model
(5)
deep generative model
(4)
generative model
(3)
probabilistic modeling
(3)
language model
(3)
neural network
(3)
variational autoencoder
(3)
uncertainty quantification
(3)
word embedding
(2)
semi-supervised learning
(2)
beam search
(2)
minimum bayes risk
(2)
sampling method
(2)
graph convolutional network
(2)
question answering
(2)
entity linking
(2)
rationale extraction
(2)
latent variable
(2)
Papers
Explanation Regularisation through the Lens of Attributions
COLING 2025
MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking
IJCNLP 2025
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
EACL 2024
Predict the Next Word: <Humans exhibit uncertainty in this task and language models _____>
EACL 2024
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
EMNLP 2023
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
EMNLP 2022
Sparse Communication via Mixed Distributions
ICLR 2022
Stop Measuring Calibration When Humans Disagree
EMNLP 2022
Editing Factual Knowledge in Language Models
EMNLP 2021
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
EMNLP 2021
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
ICLR 2020
Effective Estimation of Deep Generative Language Models
ACL 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
NeurIPS 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
EMNLP 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
COLING 2020
Auto-Encoding Variational Neural Machine Translation
ACL 2019
Block Neural Autoregressive Flow
UAI 2019
Interpretable Neural Predictions with Differentiable Binary Variables
ACL 2019
Latent Variable Model for Multi-modal Translation
ACL 2019
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
NAACL 2019
A Stochastic Decoder for Neural Machine Translation
ACL 2018
Deep Generative Model for Joint Alignment and Word Representation
NAACL 2018
Variational Inference and Deep Generative Models
ACL 2018
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
EMNLP 2017
Fast Collocation-Based Bayesian HMM Word Alignment
COLING 2016
Word Alignment without NULL Words
ACL 2016
Exact Decoding for Phrase-Based Statistical Machine Translation
EMNLP 2014
Multilingual WSD-like Constraints for Paraphrase Extraction
CoNLL 2013
UOW: Semantically Informed Text Similarity
SemEval 2012
Combining Dictionaries and Contextual Information for Cross-Lingual Lexical Substitution
SemEval 2010