Tadesse, Girmaw Abebe

6 publications

CVPRW 2025 Distribution Shifts at Scale: Out-of-Distribution Detection in Earth Observation Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

NeurIPSW 2023 Characterizing Pre-Trained and Task-Adapted Molecular Representations Celia Cintas, Payel Das, Jarret Ross, Brian Belgodere, Girmaw Abebe Tadesse, Vijil Chenthamarakshan, Jannis Born, Skyler Speakman

IJCAI 2023 Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman

NeurIPSW 2022 Beyond Protected Attributes: Disciplined Detection of Systematic Deviations in Data Adebayo Oshingbesan, Winslow Georgos Omondi, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman

IJCAI 2022 Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen