Welcome to the BeeryLab at MIT CSAIL led by Sara Beery!
Our goal is to build machine learning systems that enable global-scale environmental and biodiversity monitoring.
To achieve this, our research involves Understanding multiple modalities, tackling real-world challenges including strong spatiotemporal correlations that lead to domain shift, imperfect data quality, fine-grained categories, and long-tailed distributions.
Recent Publications
- INQUIRE: A Natural World Text-to-Image Retrieval Benchmarkin NeurIPS 2024 (Datasets and Benchmarks Track)