Andrey Kan — accepted AI-conference papers

2024

Textual Dataset Distillation via Language Model Embedding

Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot

EMNLP 2024finding

Dataset distillation is a process aimed at condensing datasets while preserving essential characteristics. In the text domain, prevailing methods typically generate distilled data as embedding vectors, which are not human-readable. This approach simplifies optimization but limits the transferability…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

Unsupervised Model Selection for Time Series Anomaly Detection

Mononito Goswami, Cristian Ignacio Challu, Laurent Callot, Lenon Minorics, Andrey Kan

ICLR 2023top-25%

Anomaly detection in time-series has a wide range of practical applications. While numerous anomaly detection methods have been proposed in the literature, a recent survey concluded that no single method is the most accurate across various datasets. To make matters worse, anomaly labels are scarce a…

Cited by 52 Source ↗PDF ↗code ↗Scholar ↗