Clifton, David A.

22 publications

CVPR 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem

CVPR 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-Objective Meta-Heuristics Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble

AISTATS 2025 Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

ICLRW 2025 Leveraging Shared Feature Representation in Cross-Domain Alignment of Decision Thresholds for Electronic Health Records Data. Elena Gal, Anshul Thakur, Soheila Molaei, Andrew Soltan, David A. Clifton

AISTATS 2025 Optimising Clinical Federated Learning Through Mode Connectivity-Based Model Aggregation Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

NeurIPS 2025 Optimization Inspired Few-Shot Adaptation for Large Language Models Boyan Gao, Xin Wang, Yibo Yang, David A. Clifton

ICML 2025 Oracle-MoE: Locality-Preserving Routing in the Oracle Space for Memory-Constrained Large Language Model Inference Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-Based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

ECCV 2024 CC-SAM: Enhancing SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation Shreyank N Gowda, David A Clifton

MLJ 2024 Deep Reinforcement Learning for Multi-Class Imbalanced Training: Applications in Healthcare Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton

AISTATS 2024 Dynamic Inter-Treatment Information Sharing for Individualized Treatment Effects Estimation Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh, Soheila Molaei, David A Clifton

AISTATS 2024 Federated Learning for Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew Soltan, Hadi Zare, David A Clifton

AISTATS 2023 Adversarial De-Confounding in Individualised Treatment Effects Estimation Vinod K. Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton

ICLRW 2023 IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

ICLRW 2023 Mode Connections for Clinical Incremental Learning:Lessons from the COVID-19 Pandemic Anshul Thakur, Chenyang Wang, Taha Ceritli, David Eyre, David A. Clifton

TMLR 2023 PCPs: Patient Cardiac Prototypes to Probe AI-Based Medical Diagnoses, Distill Datasets, and Retrieve Patients Dani Kiyasseh, Tingting Zhu, David A. Clifton

NeurIPSW 2022 Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge Ziyun Li, Xinshao Wang, Di Hu, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang

ICML 2022 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals Dani Kiyasseh, Tingting Zhu, David A Clifton

ICML 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients Dani Kiyasseh, Tingting Zhu, David A Clifton

CVPR 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

JMLR 2016 One-Class Classification of Point Patterns of Extremes Stijn Luca, David A. Clifton, Bart Vanrumste

AAAI 2015 A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng