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03/15/2023
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
It is well-known that zero-shot learning (ZSL) can suffer severely from ...
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02/22/2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization
This work is on constrained large-scale non-convex optimization where th...
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01/10/2023
A Unified Theory of Diversity in Ensemble Learning
We present a theory of ensemble diversity, explaining the nature and eff...
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10/06/2022
Data-driven Approaches to Surrogate Machine Learning Model Development
We demonstrate the adaption of three established methods to the field of...
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04/26/2022
Bias-Variance Decompositions for Margin Losses
We introduce a novel bias-variance decomposition for a range of strictly...
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09/19/2021
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
We propose a novel framework named ViOCE that integrates ontology-based ...
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09/21/2020
Visual-Semantic Embedding Model Informed by Structured Knowledge
We propose a novel approach to improve a visual-semantic embedding model...
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09/02/2020
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
We propose a new approach for Zero-Shot Human-Object Interaction Recogni...
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05/13/2019
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
When constructing models that learn from noisy labels produced by multip...
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03/20/2019
On Class Imbalance and Background Filtering in Visual Relationship Detection
In this paper we investigate the problems of class imbalance and irrelev...
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11/17/2018