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08/10/2023
Exploring XAI for the Arts: Explaining Latent Space in Generative Music
Explainable AI has the potential to support more interactive and fluid c...
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06/01/2023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
The ability to dynamically extend a model to new data and classes is cri...
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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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11/10/2022
Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation
In this study, we explore the representation mapping from the domain of ...
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09/21/2022
Learning Hierarchical Metrical Structure Beyond Measures
Music contains hierarchical structures beyond beats and measures. While ...
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08/24/2022
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model
Lyric interpretations can help people understand songs and their lyrics ...
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04/21/2022
Fast AdvProp
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
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10/26/2021
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation
The field of computational pathology has witnessed great advancements si...
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10/01/2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
While neural symbolic methods demonstrate impressive performance in visu...
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08/17/2020
Learning Interpretable Representation for Controllable Polyphonic Music Generation
While deep generative models have become the leading methods for algorit...
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08/17/2020
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
The dominant approach for music representation learning involves the dee...
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02/19/2020
When Radiology Report Generation Meets Knowledge Graph
Automatic radiology report generation has been an attracting research pr...
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12/20/2019
