James O'Neill

41 papers A* 3A 1B 3C 3Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Low-Rank Key Value Attention.
CoRR
James O'Neill, Robert Clancy, Mariia Matskevichus, Fergal Reid
2023 B conf
Gradient Sparsification For Masked Fine-Tuning of Transformers.
IJCNN
James O'Neill, Sourav Dutta
2023 J jnl
Gradient Sparsification For Masked Fine-Tuning of Transformers.
CoRR
James O'Neill, Sourav Dutta
2023 A* conf
Improved Vector Quantization For Dense Retrieval with Contrastive Distillation.
SIGIR
James O'Neill, Sourav Dutta
2023 — conf
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models.
ACL (2)
James O'Neill, Sourav Dutta
2023 J jnl
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models.
CoRR
James O'Neill, Sourav Dutta
2022 J jnl
A Multi-model Air Quality System for Health Research: Road model development and evaluation.
Environ. Model. Softw.
Martin Seaton, James O'Neill, Brian Bien, Christina Hood, Mark Jackson, Rose Jackson, Kate Johnson, Molly Oades, Amy Stidworthy, Jenny Stocker, David Carruthers
2022 A* conf
A Survey on Word Meta-Embedding Learning.
IJCAI
Danushka Bollegala, James O'Neill
2022 J jnl
A Survey on Word Meta-Embedding Learning.
CoRR
Danushka Bollegala, James O'Neill
2022 — conf
Aligned Weight Regularizers for Pruning Pretrained Neural Networks.
ACL (Findings)
James O'Neill, Sourav Dutta, Haytham Assem
2022 J jnl
Aligned Weight Regularizers for Pruning Pretrained Neural Networks.
CoRR
James O'Neill, Sourav Dutta, Haytham Assem
2022 — conf
Self-distilled Pruning of Deep Neural Networks.
ECML/PKDD (2)
James O'Neill, Sourav Dutta, Haytham Assem
2021 J jnl
Deep Neural Compression Via Concurrent Pruning and Self-Distillation.
CoRR
James O'Neill, Sourav Dutta, Haytham Assem
2021 — conf
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review.
EMNLP (1)
James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
2021 J jnl
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews.
CoRR
James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
2021 C conf
Layer-Wise Neural Network Compression via Layer Fusion.
ACML
James O'Neill, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning.
CoRR
James O'Neill, Danushka Bollegala
2021 J jnl
k-Neighbor Based Curriculum Sampling for Sequence Prediction.
CoRR
James O'Neill, Danushka Bollegala
2020 J jnl
An Overview of Neural Network Compression.
CoRR
James O'Neill
2020 J jnl
Compressing Deep Neural Networks via Layer Fusion.
CoRR
James O'Neill, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering.
CoRR
Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen
2020 B conf
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering.
LREC
Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen
2020 A conf
Meta-Embedding as Auxiliary Task Regularization.
ECAI
James O'Neill, Danushka Bollegala
2019 J jnl
Error-Correcting Neural Sequence Prediction.
CoRR
James O'Neill, Danushka Bollegala
2019 — conf
Learning to Evaluate Neural Language Models.
PACLING
James O'Neill, Danushka Bollegala
2019 — conf
Tick Parasitism Classification from Noisy Medical Records.
KDH@IJCAI
James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford
2019 J jnl
Transfer Reward Learning for Policy Gradient-Based Text Generation.
CoRR
James O'Neill, Danushka Bollegala
2018 J jnl
Analysing Dropout and Compounding Errors in Neural Language Models.
CoRR
James O'Neill, Danushka Bollegala
2018 J jnl
Angular-Based Word Meta-Embedding Learning.
CoRR
James O'Neill, Danushka Bollegala
2018 J jnl
Curriculum-Based Neighborhood Sampling For Sequence Prediction.
CoRR
James O'Neill, Danushka Bollegala
2018 J jnl
Dropping Networks for Transfer Learning.
CoRR
James O'Neill
2018 A* conf
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network.
AAAI
James O'Neill, Paul Buitelaar
2018 J jnl
Semi-Supervised Multi-Task Word Embeddings.
CoRR
James O'Neill, Danushka Bollegala
2018 J jnl
Siamese Capsule Networks.
CoRR
James O'Neill
2017 B conf
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements.
AIME
James O'Neill, Michael G. Madden, Eamon Dolan
2017 — conf
An Analysis of Topic Modelling for Legislative Texts.
ASAIL@ICAIL
James O'Neill, Cécile Robin, Leona O'Brien, Paul Buitelaar
2017 J jnl
Automatic Taxonomy Generation - A Use-Case in the Legal Domain.
CoRR
Cécile Robin, James O'Neill, Paul Buitelaar
2017 — conf
Automatic Taxonomy Generation: A Use-Case in the Legal Domain.
LCT
Cécile Robin, James O'Neill, Paul Buitelaar
2017 C conf
Classifying sentential modality in legal language: a use case in financial regulations, acts and directives.
ICAIL
James O'Neill, Paul Buitelaar, Cécile Robin, Leona O'Brien
2017 — conf
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity.
WASSA@EMNLP
Vladimir Andryushechkin, Ian D. Wood, James O'Neill
2014 C conf
Non-invasive anaerobic threshold measurement using fuzzy model interpolation.
CCA
John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne