James O'Neill

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 38

Top Topics

Vector Quantization

Top Venues

Publications

James O'Neill, Sourav Dutta
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models. ACL (2) (2023)
James O'Neill, Sourav Dutta
Gradient Sparsification For Masked Fine-Tuning of Transformers. CoRR (2023)
James O'Neill, Sourav Dutta
Gradient Sparsification For Masked Fine-Tuning of Transformers. IJCNN (2023)
James O'Neill, Sourav Dutta
Improved Vector Quantization For Dense Retrieval with Contrastive Distillation. SIGIR (2023)
James O'Neill, Sourav Dutta
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models. CoRR (2023)
Danushka Bollegala, James O'Neill
A Survey on Word Meta-Embedding Learning. IJCAI (2022)
James O'Neill, Sourav Dutta, Haytham Assem
Self-distilled Pruning of Deep Neural Networks. ECML/PKDD (2) (2022)
James O'Neill, Sourav Dutta, Haytham Assem
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. ACL (Findings) (2022)
James O'Neill, Sourav Dutta, Haytham Assem
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. CoRR (2022)
Danushka Bollegala, James O'Neill
A Survey on Word Meta-Embedding Learning. CoRR (2022)
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 (2022)
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 (2021)
James O'Neill, Danushka Bollegala
k-Neighbor Based Curriculum Sampling for Sequence Prediction. CoRR (2021)
James O'Neill, Greg Ver Steeg, Aram Galstyan
Layer-Wise Neural Network Compression via Layer Fusion. ACML (2021)
James O'Neill, Danushka Bollegala
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. CoRR (2021)
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)
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)
James O'Neill, Greg Ver Steeg, Aram Galstyan
Compressing Deep Neural Networks via Layer Fusion. CoRR (2020)
James O'Neill
An Overview of Neural Network Compression. CoRR (2020)
James O'Neill, Danushka Bollegala
Meta-Embedding as Auxiliary Task Regularization. ECAI (2020)
Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. CoRR (2020)
James O'Neill, Danushka Bollegala
Transfer Reward Learning for Policy Gradient-Based Text Generation. CoRR (2019)
James O'Neill, Danushka Bollegala
Error-Correcting Neural Sequence Prediction. CoRR (2019)
James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford
Tick Parasitism Classification from Noisy Medical Records. KHD@IJCAI (2019)
James O'Neill, Danushka Bollegala
Learning to Evaluate Neural Language Models. PACLING (2019)
James O'Neill, Paul Buitelaar
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network. AAAI (2018)
James O'Neill
Siamese Capsule Networks. CoRR (2018)
James O'Neill, Danushka Bollegala
Semi-Supervised Multi-Task Word Embeddings. CoRR (2018)
James O'Neill
Dropping Networks for Transfer Learning. CoRR (2018)
James O'Neill, Danushka Bollegala
Curriculum-Based Neighborhood Sampling For Sequence Prediction. CoRR (2018)
James O'Neill, Danushka Bollegala
Angular-Based Word Meta-Embedding Learning. CoRR (2018)
James O'Neill, Danushka Bollegala
Analysing Dropout and Compounding Errors in Neural Language Models. CoRR (2018)
Cécile Robin, James O'Neill, Paul Buitelaar
Automatic Taxonomy Generation: A Use-Case in the Legal Domain. LCT (2017)
James O'Neill, Cécile Robin, Leona O'Brien, Paul Buitelaar
An Analysis of Topic Modelling for Legislative Texts. ASAIL@ICAIL (2017)
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)
Vladimir Andryushechkin, Ian D. Wood, James O'Neill
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity. WASSA@EMNLP (2017)
Cécile Robin, James O'Neill, Paul Buitelaar
Automatic Taxonomy Generation - A Use-Case in the Legal Domain. CoRR (2017)
James O'Neill, Michael G. Madden, Eamon Dolan
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. AIME (2017)
John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne
Non-invasive anaerobic threshold measurement using fuzzy model interpolation. CCA (2014)