Rachel Gardner

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

Top Topics

Lower Extremity

Transfer Learning

Binary Classification Tasks

Abnormality Detection

Top Venues

IEEE Robotics Autom. Lett.

Nat. Mach. Intell.

Publications

Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager
Vision-Only Robot Navigation in a Neural Radiance World. IEEE Robotics Autom. Lett. 7 (2) (2022)
Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager
Vision-Only Robot Navigation in a Neural Radiance World. CoRR (2021)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. W-NUT@EMNLP (2020)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. CoRR (2020)
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. CoRR (2019)
Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1 (12) (2019)
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. IROS (2019)