Zahra Gharaee — accepted AI-conference papers

2024

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

Zahra Gharaee, Scott C Lowe, ZeMing Gong, Pablo Andres Millan Arias, Nicholas Pellegrino, Austin Wang +7

NeurIPS 2024poster

As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, this paper presents the BIOSCAN-5M Insect dataset to the machine learning community and establish several benchmark tasks. BIOSCAN-5M is a comprehensive dataset containing multi-modal information for over 5 million…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2023

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C Lowe +10

NeurIPS 2023poster

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information including raw nucleotide barcode sequences and assigned barcode…

Cited by 33 Source ↗PDF ↗code ↗Scholar ↗

2023

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting

Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley

ICML 2023poster

Conventional supervised learning methods typically assume i.i.d samples and are found to be sensitive to out-of-distribution (OOD) data. We propose Generative Causal Representation Learning (GCRL) which leverages causality to facilitate knowledge transfer under distribution shifts. While we evaluate…

Cited by 13 Source ↗PDF ↗Scholar ↗