Wray Buntine
46 papers · 2010–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (15)
π
Academic Marathon
(15)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(13)
π
Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(19)
π§¬
Topic Evolution
π
Grand Slam
π±
Topic Pioneer
π
Keyword Champion
(2)
π₯
Unstoppable
(9)
π
Conference Pioneer
ποΈ
Keyword Collector
(204)
β‘
Prolific Year
(7)
β
The Questioner
(2)
π
Century Club
(45)
π
Trend Setter
Conferences
EMNLP (8)
ACL (7)
AAAI (4)
ACML (4)
ICML (4)
NIPS (4)
NAACL (3)
AISTATS (2)
COLING (2)
CONLL (2)
IJCAI (2)
CVPR (1)
EACL (1)
ICLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
neural machine translation
(5)
topic model
(5)
gibbs sampling
(4)
language model
(4)
large language model
(4)
topic modeling
(4)
active learning
(4)
transfer learning
(3)
topic coherence
(3)
variational autoencoder
(3)
named entity recognition
(3)
bayesian inference
(3)
multi-task learning
(2)
image classification
(2)
policy learning
(2)
low-resource learning
(2)
text classification
(2)
logical reasoning
(2)
text mining
(2)
domain adaptation
(2)
Papers
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
Navigating Conflicting Views: Harnessing Trust for Learning
ICML 2025
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
WACV 2025
Assessing the Sensitivity and Alignment of FOL Closeness Metrics
EMNLP 2025
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
EMNLP 2025
VerifiAgent: a Unified Verification Agent in Language Model Reasoning
EMNLP 2025
Discrete Diffusion Language Model for Efficient Text Summarization
NAACL 2025
Improving Vietnamese-English Medical Machine Translation
COLING 2024
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
AAAI 2024
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations
ACL 2024
Towards Uncertainty-Aware Language Agent
ACL 2024
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
ACL 2024
Reward Engineering for Generating Semi-structured Explanation
EACL 2024
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
IJCAI 2023
AUC Maximization for Low-Resource Named Entity Recognition
AAAI 2023
Asian Conference on Machine Learning: Preface
ACML 2023
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
AAAI 2023
On the Effect of Isotropy on VAE Representations of Text
ACL 2022
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
EMNLP 2022
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
EMNLP 2021
Neural Topic Model via Optimal Transport
ICLR 2021
Neural Attention-Aware Hierarchical Topic Model
EMNLP 2021
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
EMNLP 2021
Topic Modelling Meets Deep Neural Networks: A Survey
IJCAI 2021
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training
CVPR 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
NIPS 2021
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures
NAACL 2021
Variational Autoencoders for Sparse and Overdispersed Discrete Data
AISTATS 2020
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation
COLING 2020
Leveraging Meta Information in Short Text Aggregation
ACL 2019
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences
AISTATS 2018
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
ACML 2018
Learning to Actively Learn Neural Machine Translation
CONLL 2018
Inter and Intra Topic Structure Learning with Word Embeddings
ICML 2018
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation
ACL 2018
Learning How to Actively Learn: A Deep Imitation Learning Approach
ACL 2018
Dirichlet belief networks for topic structure learning
NIPS 2018
A Word Embeddings Informed Focused Topic Model
ACML 2017
Leveraging Node Attributes for Incomplete Relational Data
ICML 2017
Bibliographic Analysis with the Citation Network Topic Model
ACML 2014
Topic Segmentation with a Structured Topic Model
NAACL 2013
Dependent Normalized Random Measures
ICML 2013
Modelling Sequential Text with an Adaptive Topic Model
CONLL 2012
Modelling Sequential Text with an Adaptive Topic Model
EMNLP 2012
Improving Topic Coherence with Regularized Topic Models
NIPS 2011
Word Features for Latent Dirichlet Allocation
NIPS 2010