Toshev, Alexander T

11 publications

NeurIPS 2025 Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality Alex Fang, Hadi Pouransari, Matt Jordan, Alexander T Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter

TMLR 2025 MobileCLIP2: Improving Multi-Modal Reinforced Training Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander T Toshev, Oncel Tuzel, Hadi Pouransari

ICLR 2025 On the Modeling Capabilities of Large Language Models for Sequential Decision Making Martin Klissarov, R Devon Hjelm, Alexander T Toshev, Bogdan Mazoure

ICLR 2024 Data Filtering Networks Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T Toshev, Vaishaal Shankar

ICLR 2024 Large Language Models as Generalizable Policies for Embodied Tasks Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, Alexander T Toshev

ICML 2024 Scalable Pre-Training of Large Autoregressive Image Models Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T Toshev, Joshua M. Susskind, Armand Joulin

NeurIPSW 2023 Data Filtering Networks Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T Toshev, Vaishaal Shankar

ICML 2023 Robustness in Multimodal Learning Under Train-Test Modality Mismatch Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev

CoRL 2022 Do as I Can, Not as I Say: Grounding Language in Robotic Affordances Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander T Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

ICLR 2022 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

NeurIPSW 2021 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter