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Rachel Gardner
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2020 – today
- 2022
- [j2]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): 4606-4613 (2022) - 2021
- [i3]Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. CoRR abs/2110.00168 (2021) - 2020
- [c2]Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. W-NUT@EMNLP 2020: 22-27 - [i2]Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. CoRR abs/2011.04883 (2020)
2010 – 2019
- 2019
- [j1]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): 578-583 (2019) - [c1]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: 1010-1017 - [i1]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 abs/1906.08880 (2019)
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