David A. Clifton

16 papers · 2016–2026 · 11 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (43) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🗃️ Keyword Collector (90) 📈 Trend Setter 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer

Venues

AISTATS (3) CVPR (3) EMNLP (2) AAAI (1) ACL (1) EACL (1) ICLR (1) ICML (1) JMLR (1) MICCAI (1) UAI (1)

Top co-authors

Anshul Thakur (6) Soheila Molaei (4) Kim Branson (3) Patrick Schwab (3) Danielle Belgrave (3) Boyan Gao (2) Lei Clifton (2) Jingfeng Yang (2) Fenglin Liu (2) Hongjian Zhou (2)

Research topics

Artificial Intelligence (11) Machine Learning (9) Core AI (9) Deep Learning (6) Application Areas (5) Learning Types · Machine Learning (5) Healthcare & Medicine (4) Clinical (4) Learning Types · Deep Learning (4) Learning Paradigms · Artificial Intelligence (3) Optimization & Theory (3) Natural Language Processing (2) Architectures (2) Core Methods (2) Learning Paradigms · Machine Learning (2)

Keywords

large language model (4) federated learning (3) clinical decision-making (2) knowledge distillation (2) continual learning (1) catastrophic forgetting (1) causal inference (1) adversarial learning (1) neural tangent kernel (1) multi-task learning (1) feature learning (1) few-shot learning (1) online learning (1) anomaly detection (1) uncertainty quantification (1) benchmark evaluation (1) curriculum learning (1) self-supervised learning (1) entropy minimization (1) zero-shot learning (1)

Papers

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval ACL 2026 Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling AAAI 2026 Semantic Self-Distillation for Language Model Uncertainty UAI 2026 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation AISTATS 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference ICML 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking ICLR 2025 Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024 Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring MICCAI 2024 Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023 MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers EACL 2023 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 One-class classification of point patterns of extremes JMLR 2016