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David Tuckey
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2020 – today
- 2024
- [i5]Jisi Zhang, Vandana Rajan, Haaris Mehmood, David Tuckey, Pablo Peso Parada, Md Asif Jalal, Karthikeyan Saravanan, Gil Ho Lee, Jungin Lee, Seokyeong Jung:
Consistency Based Unsupervised Self-training For ASR Personalisation. CoRR abs/2401.12085 (2024) - [i4]Jie Xu, Karthikeyan Saravanan, Rogier van Dalen, Haaris Mehmood, David Tuckey, Mete Ozay:
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. CoRR abs/2405.06368 (2024) - 2023
- [c6]Jisi Zhang, Vandana Rajan, Haaris Mehmood, David Tuckey, Pablo Peso Parada, Md Asif Jalal, Karthikeyan Saravanan, Gil Ho Lee, Jungin Lee, Seokyeong Jung:
Consistency Based Unsupervised Self-Training for ASR Personalisation. ASRU 2023: 1-8 - [c5]Pavlos Vougiouklis, Nikos Papasarantopoulos, Danna Zheng, David Tuckey, Chenxin Diao, Zhili Shen, Jeff Z. Pan:
FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing. IJCNLP (1) 2023: 564-576 - 2022
- [j1]Ludovico Mitchener
, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. Mach. Learn. 111(4): 1523-1549 (2022) - [c4]David Tuckey, Krysia Broda, Alessandra Russo:
A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops 2022 - [c3]Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI 2022: 5314-5318 - [c2]Viet Pham Ngoc, David Tuckey, Herbert Wiklicky:
Tunable Quantum Neural Networks in the QPAC-Learning Framework. QPL 2022: 221-235 - 2021
- [i3]David Tuckey, Alessandra Russo, Krysia Broda:
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. CoRR abs/2105.10908 (2021) - 2020
- [c1]David Tuckey, Krysia Broda, Alessandra Russo:
Towards Structure Learning under the Credal Semantics. ICLP Workshops 2020 - [i2]David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. CoRR abs/2003.00749 (2020)
2010 – 2019
- 2019
- [i1]David Tuckey, Krysia Broda, Alessandra Russo:
Saliency Maps Generation for Automatic Text Summarization. CoRR abs/1907.05664 (2019)
Coauthor Index
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