Tom Diethe
15 papers · 2005–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (30)
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Machine Learning
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Core AI
(4)
Core Methods
(4)
Models
(4)
Mathematics & Optimization
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Natural Language Processing
(1)
Keywords
diffusion model
(2)
unsupervised learning
(1)
gaussian process
(1)
contrastive learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
semantic segmentation
(1)
semi-supervised learning
(1)
uncertainty quantification
(1)
item response theory
(1)
image synthesis
(1)
prompt learning
(1)
computational complexity
(1)
probability estimation
(1)
representation learning
(1)
conditional entropy
(1)
episodic memory
(1)
linear programming
(1)
regression analysis
(1)
combinatorial optimization
(1)
Papers
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
ICLR 2025
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
EMNLP 2025
Diffusion Instruction Tuning
ICML 2025
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
ICML 2025
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
ICML 2025
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
ICML 2024
Improving Antibody Humanness Prediction using Patent Data
ICML 2024
Measures of diversity and space-filling designs for categorical data
ICML 2024
Tackling Structural Hallucination in Image Translation with Local Diffusion
ECCV 2024
Optimal Continual Learning has Perfect Memory and is NP-hard
ICML 2020
$β^3$-IRT: A New Item Response Model and its Applications
AISTATS 2019
Distribution calibration for regression
ICML 2019
ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home
IJCAI 2016
Data dependent kernels in nearly-linear time
AISTATS 2012
Matching Pursuit Kernel Fisher Discriminant Analysis
AISTATS 2005