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06/27/2023
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs
Variational Autoencoders and their many variants have displayed impressi...
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06/21/2023
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
Tabular biomedical data poses challenges in machine learning because it ...
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11/28/2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Tabular biomedical data is often high-dimensional but with a very small ...
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11/11/2022
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data
Genome-wide studies leveraging recent high-throughput sequencing technol...
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05/10/2021
Do Concept Bottleneck Models Learn as Intended?
Concept bottleneck models map from raw inputs to concepts, and then from...
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12/02/2020