Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. - Julieta Martinez 001; Sasha Doubov; Jack Fan; Ioan Andrei Bârsan; Shenlong Wang; Gellért Máttyus; Raquel Urtasun (IROS, 2020)

Scalable Neural Data Server: A Data Recommender for Transfer Learning. - Tianshi Cao; Sasha Doubov; David Acuna; Sanja Fidler (NeurIPS, 2021)

Sparse Upcycling: Inference Inefficient Finetuning. - Sasha Doubov; Nikhil Sardana; Vitaliy Chiley (ENLSP, 2024)

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. - Nikhil Sardana; Jacob P. Portes; Sasha Doubov; Jonathan Frankle (ICML, 2024)