Wray Buntine

DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities CVPR 2026 Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 Discrete Diffusion Language Model for Efficient Text Summarization NAACL 2025 HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts WACV 2025 Logical Reasoning with Outcome Reward Models for Test-Time Scaling EMNLP 2025 Navigating Conflicting Views: Harnessing Trust for Learning ICML 2025 VerifiAgent: a Unified Verification Agent in Language Model Reasoning EMNLP 2025 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 Improving Vietnamese-English Medical Machine Translation COLING 2024 MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations 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 Towards Uncertainty-Aware Language Agent ACL 2024 Asian Conference on Machine Learning: Preface ACML 2023 A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023 AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023 Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios EMNLP 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 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 NeurIPS 2021 Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP 2021 Neural Attention-Aware Hierarchical Topic Model EMNLP 2021 Neural Topic Model via Optimal Transport ICLR 2021 Topic Modelling Meets Deep Neural Networks: A Survey IJCAI 2021 Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures NAACL 2021 Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence EMNLP 2021 Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation COLING 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020 Leveraging Meta Information in Short Text Aggregation ACL 2019 Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation ACL 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Dirichlet belief networks for topic structure learning NeurIPS 2018 Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018 Inter and Intra Topic Structure Learning with Word Embeddings ICML 2018 Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018 Learning to Actively Learn Neural Machine Translation CoNLL 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 Dependent Normalized Random Measures ICML 2013 Topic Segmentation with a Structured Topic Model NAACL 2013 Modelling Sequential Text with an Adaptive Topic Model EMNLP 2012 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Word Features for Latent Dirichlet Allocation NeurIPS 2010