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James O' Neill
James O' Neill
DynamoFL - Machine Learning Research Engineer
Verified email at dynamofl.com - Homepage
Title
Cited by
Cited by
Year
An overview of neural network compression
JO Neill
arXiv preprint arXiv:2006.03669, 2020
992020
Classifying Sentential Modality in Legal Language: A Use Case in Financial Regulations, Acts and Directives
J O' Neill, P Buitelaar, C Robin, L O' Brien
International Conference on Artificial Intelligence and Law 16, 159 - 169, 2017
552017
Siamese capsule networks
JO Neill
arXiv preprint arXiv:1805.07242, 2018
372018
An Analysis of Topic Modelling for Legislative Texts
J O’Neill, C Robin, L O’Brien, P Buitelaar
Analysis of Semantic Information in Legal Texts 1, 8, 2017
292017
Impact of ultrasound image reconstruction method on breast lesion classification with deep learning
M Byra, T Sznajder, D Korzinek, H Piotrzkowska-Wroblewska, ...
Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019
262019
Meta-embedding as auxiliary task regularization
JO Neill, D Bollegala
European Conference on Artificial Intelligence 24, 8, 2018
13*2018
A survey on word meta-embedding learning
D Bollegala, J O'Neill
arXiv preprint arXiv:2204.11660, 2022
122022
I Wish I Would Have Loved This One, But I Didn't--A Multilingual Dataset for Counterfactual Detection in Product Reviews
J O'Neill, P Rozenshtein, R Kiryo, M Kubota, D Bollegala
arXiv preprint arXiv:2104.06893, 2021
122021
Layer-wise neural network compression via layer fusion
J O’Neill, GV Steeg, A Galstyan
Asian Conference on Machine Learning, 1381-1396, 2021
10*2021
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network
J O' Neill, P Buitelaar
Association of the Advancements of Artificial Intelligence, 2018
92018
Do not let the history haunt you--Mitigating Compounding Errors in Conversational Question Answering
A Mandya, J O'Neill, D Bollegala, F Coenen
Proceedings of the 12th Language Resources and Evaluation Conference 12, 8, 2020
72020
Semantically-conditioned negative samples for efficient contrastive learning
JO Neill, D Bollegala
arXiv preprint arXiv:2102.06603, 2021
62021
Angular-based word meta-embedding learning
JO Neill, D Bollegala
arXiv preprint arXiv:1808.04334, 2018
62018
Automatic taxonomy generation: A use-case in the legal domain
C Robin, J O’Neill, P Buitelaar
Language and Technology Conference, 318-328, 2017
62017
NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
V Andryushechkin, I Wood, J O’Neill
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017
62017
Self-distilled Pruning of Deep Neural Networks
J O’Neill, S Dutta, H Assem
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
5*2022
Aligned weight regularizers for pruning pretrained neural networks
JO Neill, S Dutta, H Assem
arXiv preprint arXiv:2204.01385, 2022
32022
Non-invasive anaerobic threshold measurement using fuzzy model interpolation
JV Ringwood, J O'Neill, P Tallon, N Fleming, B Donne
2014 IEEE Conference on Control Applications (CCA), 1711-1715, 2014
32014
Self-distilled quantization: Achieving high compression rates in transformer-based language models
JO Neill, S Dutta
arXiv preprint arXiv:2307.05972, 2023
22023
-Neighbor Based Curriculum Sampling for Sequence Prediction
JO Neill, D Bollegala
arXiv preprint arXiv:2101.09313, 2021
2*2021
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