David Tuckey - RankMe

14 papers A* 1C 1Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. ICASSP Haaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada, David Tuckey, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2025	J	`jnl`	ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. CoRR Haaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada, David Tuckey, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2024	J	`jnl`	Consistency Based Unsupervised Self-training For ASR Personalisation. CoRR Jisi Zhang, Vandana Rajan, Haaris Mehmood, David Tuckey, Pablo Peso Parada, Md Asif Jalal, Karthikeyan Saravanan, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2024	J	`jnl`	DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. CoRR Jie Xu, Karthikeyan Saravanan, Rogier van Dalen, Haaris Mehmood, David Tuckey, Mete Ozay
2023	C	`conf`	Consistency Based Unsupervised Self-Training for ASR Personalisation. ASRU Jisi Zhang, Vandana Rajan, Haaris Mehmood, David Tuckey, Pablo Peso Parada, Md Asif Jalal, Karthikeyan Saravanan, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2023	—	`conf`	FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing. IJCNLP (1) Pavlos Vougiouklis, Nikos Papasarantopoulos, Danna Zheng, David Tuckey, Chenxin Diao, Zhili Shen, Jeff Z. Pan
2022	—	`conf`	A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops David Tuckey, Krysia Broda, Alessandra Russo
2022	A*	`conf`	Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo
2022	J	`jnl`	Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. Mach. Learn. Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo
2022	—	`conf`	Tunable Quantum Neural Networks in the QPAC-Learning Framework. QPL Viet Pham Ngoc, David Tuckey, Herbert Wiklicky
2021	J	`jnl`	PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. CoRR David Tuckey, Alessandra Russo, Krysia Broda
2020	J	`jnl`	A general framework for scientifically inspired explanations in AI. CoRR David Tuckey, Alessandra Russo, Krysia Broda
2020	—	`conf`	Towards Structure Learning under the Credal Semantics. ICLP Workshops David Tuckey, Krysia Broda, Alessandra Russo
2019	J	`jnl`	Saliency Maps Generation for Automatic Text Summarization. CoRR David Tuckey, Krysia Broda, Alessandra Russo