James O'Neill

According to our database, James O'Neill authored at least 34 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improved Vector Quantization For Dense Retrieval with Contrastive Distillation.

James O'Neill, Sourav Dutta

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Gradient Sparsification For Masked Fine-Tuning of Transformers.

James O'Neill, Sourav Dutta

Proceedings of the International Joint Conference on Neural Networks, 2023

Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models.

James O'Neill, Sourav Dutta

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

A Multi-model Air Quality System for Health Research: Road model development and evaluation.

Martin Seaton, James O'Neill, Brian Bien, Christina Hood, Mark Jackson, Rose Jackson, Kate Johnson, Molly Oades, Amy Stidworthy, Jenny Stocker, David Carruthers

Environ. Model. Softw., 2022

Self-distilled Pruning of Deep Neural Networks.

James O'Neill, Sourav Dutta, Haytham Assem

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Survey on Word Meta-Embedding Learning.

Danushka Bollegala, James O'Neill

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Aligned Weight Regularizers for Pruning Pretrained Neural Networks.

James O'Neill, Sourav Dutta, Haytham Assem

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Deep Neural Compression Via Concurrent Pruning and Self-Distillation.

James O'Neill, Sourav Dutta, Haytham Assem

CoRR, 2021

I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews.

James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala

CoRR, 2021

Semantically-Conditioned Negative Samples for Efficient Contrastive Learning.

James O'Neill, Danushka Bollegala

CoRR, 2021

k-Neighbor Based Curriculum Sampling for Sequence Prediction.

James O'Neill, Danushka Bollegala

CoRR, 2021

I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review.

James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-Wise Neural Network Compression via Layer Fusion.

James O'Neill, Greg Ver Steeg, Aram Galstyan

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Compressing Deep Neural Networks via Layer Fusion.

James O'Neill, Greg Ver Steeg, Aram Galstyan

CoRR, 2020

An Overview of Neural Network Compression.

James O'Neill

CoRR, 2020

Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering.

Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Meta-Embedding as Auxiliary Task Regularization.

James O'Neill, Danushka Bollegala

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Transfer Reward Learning for Policy Gradient-Based Text Generation.

James O'Neill, Danushka Bollegala

CoRR, 2019

Error-Correcting Neural Sequence Prediction.

James O'Neill, Danushka Bollegala

CoRR, 2019

Learning to Evaluate Neural Language Models.

James O'Neill, Danushka Bollegala

Proceedings of the Computational Linguistics, 2019

Tick Parasitism Classification from Noisy Medical Records.

James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018

Analysing Dropout and Compounding Errors in Neural Language Models.

James O'Neill, Danushka Bollegala

CoRR, 2018

Curriculum-Based Neighborhood Sampling For Sequence Prediction.

James O'Neill, Danushka Bollegala

CoRR, 2018

Semi-Supervised Multi-Task Word Embeddings.

James O'Neill, Danushka Bollegala

CoRR, 2018

Angular-Based Word Meta-Embedding Learning.

James O'Neill, Danushka Bollegala

CoRR, 2018

Siamese Capsule Networks.

James O'Neill

CoRR, 2018

Dropping Networks for Transfer Learning.

James O'Neill

CoRR, 2018

Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network.

James O'Neill, Paul Buitelaar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity.

Vladimir Andryushechkin, Ian D. Wood, James O'Neill

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Automatic Taxonomy Generation: A Use-Case in the Legal Domain.

Cécile Robin, James O'Neill, Paul Buitelaar

Proceedings of the Human Language Technology. Challenges for Computer Science and Linguistics, 2017

An Analysis of Topic Modelling for Legislative Texts.

James O'Neill, Cécile Robin, Leona O'Brien, Paul Buitelaar

Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017), 2017

Classifying sentential modality in legal language: a use case in financial regulations, acts and directives.

James O'Neill, Paul Buitelaar, Cécile Robin, Leona O'Brien

Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements.

James O'Neill, Michael G. Madden, Eamon Dolan

Proceedings of the Artificial Intelligence in Medicine, 2017

2014

Non-invasive anaerobic threshold measurement using fuzzy model interpolation.

John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne

Proceedings of the 2014 IEEE Conference on Control Applications, 2014