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ORCIDJames O'Neill
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Journal Articles
- 2022
[j1]Martin Seaton, James O'Neill
, Brian Bien, Christina Hood, Mark Jackson, Rose Jackson, Kate Johnson, Molly Oades, Amy Stidworthy, Jenny Stocker, David Carruthers:
A Multi-model Air Quality System for Health Research: Road model development and evaluation. Environ. Model. Softw. 155: 105455 (2022)
Conference and Workshop Papers
- 2023
- [c19]James O'Neill, Sourav Dutta:
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models. ACL (2) 2023: 1329-1339 - [c18]James O'Neill, Sourav Dutta:
Gradient Sparsification For Masked Fine-Tuning of Transformers. IJCNN 2023: 1-8 - [c17]James O'Neill, Sourav Dutta:
Improved Vector Quantization For Dense Retrieval with Contrastive Distillation. SIGIR 2023: 2072-2076 - 2022
- [c16]James O'Neill, Sourav Dutta, Haytham Assem:
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. ACL (Findings) 2022: 3391-3401 - [c15]Danushka Bollegala, James O'Neill:
A Survey on Word Meta-Embedding Learning. IJCAI 2022: 5402-5409 - [c14]James O'Neill, Sourav Dutta, Haytham Assem:
Self-distilled Pruning of Deep Neural Networks. ECML/PKDD (2) 2022: 655-670 - 2021
- [c13]James O'Neill, Greg Ver Steeg, Aram Galstyan:
Layer-Wise Neural Network Compression via Layer Fusion. ACML 2021: 1381-1396 - [c12]James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala:
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review. EMNLP (1) 2021: 7092-7108 - 2020
- [c11]James O'Neill, Danushka Bollegala:
Meta-Embedding as Auxiliary Task Regularization. ECAI 2020: 2124-2131 - [c10]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering. LREC 2020: 2017-2025 - 2019
- [c9]James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford:
Tick Parasitism Classification from Noisy Medical Records. KDH@IJCAI 2019: 30-34 - [c8]James O'Neill, Danushka Bollegala:
Learning to Evaluate Neural Language Models. PACLING 2019: 123-133 - 2018
- [c7]James O'Neill, Paul Buitelaar:
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network. AAAI 2018: 5342-5349 - 2017
- [c6]James O'Neill, Michael G. Madden, Eamon Dolan:
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. AIME 2017: 86-91 - [c5]James O'Neill, Paul Buitelaar, Cécile Robin, Leona O'Brien:
Classifying sentential modality in legal language: a use case in financial regulations, acts and directives. ICAIL 2017: 159-168 - [c4]James O'Neill, Cécile Robin, Leona O'Brien, Paul Buitelaar:
An Analysis of Topic Modelling for Legislative Texts. ASAIL@ICAIL 2017 - [c3]Cécile Robin, James O'Neill, Paul Buitelaar:
Automatic Taxonomy Generation: A Use-Case in the Legal Domain. LCT 2017: 318-328 - [c2]Vladimir Andryushechkin, Ian D. Wood, James O'Neill:
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity. WASSA@EMNLP 2017: 175-179 - 2014
- [c1]John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne:
Non-invasive anaerobic threshold measurement using fuzzy model interpolation. CCA 2014: 1711-1715
Informal and Other Publications
- 2023
- [i20]James O'Neill, Sourav Dutta:
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models. CoRR abs/2307.05972 (2023) - [i19]James O'Neill, Sourav Dutta:
Gradient Sparsification For Masked Fine-Tuning of Transformers. CoRR abs/2307.10098 (2023) - 2022
- [i18]James O'Neill, Sourav Dutta, Haytham Assem:
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. CoRR abs/2204.01385 (2022) - [i17]Danushka Bollegala, James O'Neill:
A Survey on Word Meta-Embedding Learning. CoRR abs/2204.11660 (2022) - 2021
- [i16]James O'Neill, Danushka Bollegala:
k-Neighbor Based Curriculum Sampling for Sequence Prediction. CoRR abs/2101.09313 (2021) - [i15]James O'Neill, Danushka Bollegala:
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. CoRR abs/2102.06603 (2021) - [i14]James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala:
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews. CoRR abs/2104.06893 (2021) - [i13]James O'Neill, Sourav Dutta, Haytham Assem:
Deep Neural Compression Via Concurrent Pruning and Self-Distillation. CoRR abs/2109.15014 (2021) - 2020
- [i12]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. CoRR abs/2005.05754 (2020) - [i11]James O'Neill:
An Overview of Neural Network Compression. CoRR abs/2006.03669 (2020) - [i10]James O'Neill, Greg Ver Steeg, Aram Galstyan:
Compressing Deep Neural Networks via Layer Fusion. CoRR abs/2007.14917 (2020) - 2019
- [i9]James O'Neill, Danushka Bollegala:
Error-Correcting Neural Sequence Prediction. CoRR abs/1901.07002 (2019) - [i8]James O'Neill, Danushka Bollegala:
Transfer Reward Learning for Policy Gradient-Based Text Generation. CoRR abs/1909.03622 (2019) - 2018
- [i7]James O'Neill:
Dropping Networks for Transfer Learning. CoRR abs/1804.08501 (2018) - [i6]James O'Neill:
Siamese Capsule Networks. CoRR abs/1805.07242 (2018) - [i5]James O'Neill, Danushka Bollegala:
Angular-Based Word Meta-Embedding Learning. CoRR abs/1808.04334 (2018) - [i4]James O'Neill, Danushka Bollegala:
Semi-Supervised Multi-Task Word Embeddings. CoRR abs/1809.05886 (2018) - [i3]James O'Neill, Danushka Bollegala:
Curriculum-Based Neighborhood Sampling For Sequence Prediction. CoRR abs/1809.05916 (2018) - [i2]James O'Neill, Danushka Bollegala:
Analysing Dropout and Compounding Errors in Neural Language Models. CoRR abs/1811.00998 (2018) - 2017
- [i1]Cécile Robin, James O'Neill, Paul Buitelaar:
Automatic Taxonomy Generation - A Use-Case in the Legal Domain. CoRR abs/1710.01823 (2017)
Coauthor Index
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