David A. Clifton
15 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Academic Marathon (9) π Conference Polyglot (8) π Renaissance Researcher (6)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(34)
π§
Keyword Pioneer
π§¬
Topic Evolution
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Conference Pioneer
β‘
Prolific Year
(7)
π
Century Club
(13)
ποΈ
Keyword Collector
(62)
π
Trend Setter
Conferences
AISTATS (3)
CVPR (3)
EMNLP (2)
AAAI (1)
ACL (1)
EACL (1)
ICLR (1)
ICML (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(2)
federated learning
(2)
representation learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
zero-shot learning
(1)
adversarial learning
(1)
model distillation
(1)
feature learning
(1)
few-shot learning
(1)
online learning
(1)
anomaly detection
(1)
entropy minimization
(1)
curriculum learning
(1)
self-supervised learning
(1)
benchmark evaluation
(1)
medical nlp
(1)
message passing
(1)
novelty detection
(1)
neural tangent kernel
(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
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
AISTATS 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
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
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
AISTATS 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
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers
EACL 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
CVPR 2021
One-class classification of point patterns of extremes
JMLR 2016