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Christopher Lee-Messer

2 accepted papers

2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

ICLR 2022oral

Machine learning models that achieve high overall accuracy often make systematic errors on important subsets (or slices) of data. Identifying underperforming slices is particularly challenging when working with high-dimensional inputs (e.g. images, audio), where important slices are often unlabeled.…

Cited by 160SourcePDFScholar
2022

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

ICLR 2022poster

Automated seizure detection and classification from electroencephalography (EEG) can greatly improve seizure diagnosis and treatment. However, several modeling challenges remain unaddressed in prior automated seizure detection and classification studies: (1) representing non-Euclidean data structure…