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Kaylee Burns
Kaylee Burns
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Women also Snowboard: Overcoming Bias in Captioning Models
K Burns, LA Hendricks, T Darrell, A Rohrbach
arXiv preprint arXiv:1803.09797, 2018
543*2018
Object Hallucination in Image Captioning
A Rohrbach, LA Hendricks, K Burns, T Darrell, K Saenko
arXiv preprint arXiv:1809.02156, 2018
3852018
Evaluating Theory of Mind in Question Answering
A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths
arXiv preprint arXiv:1808.09352, 2018
842018
Permutation equivariant neural functionals
A Zhou, K Yang, K Burns, A Cardace, Y Jiang, S Sokota, JZ Kolter, C Finn
Advances in Neural Information Processing Systems 36, 2024
272024
Neural functional transformers
A Zhou, K Yang, Y Jiang, K Burns, W Xu, S Sokota, JZ Kolter, C Finn
Advances in Neural Information Processing Systems 36, 2024
152024
Implicit kinematic policies: Unifying joint and cartesian action spaces in end-to-end robot learning
A Ganapathi, P Florence, J Varley, K Burns, K Goldberg, A Zeng
2022 International Conference on Robotics and Automation (ICRA), 2656-2662, 2022
152022
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
E Tzeng, K Burns, K Saenko, T Darrell
arXiv preprint arXiv:1812.00929, 2018
132018
Exploiting Attention to Reveal Shortcomings in Memory Models
K Burns, A Nematzadeh, E Grant, A Gopnik, T Griffiths
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
82018
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
K Burns, Z Witzel, JI Hamid, T Yu, C Finn, K Hausman
arXiv preprint arXiv:2312.12444, 2023
5*2023
Offline Reinforcement Learning at Multiple Frequencies
K Burns, T Yu, C Finn, K Hausman
Conference on Robot Learning, 2041-2051, 2023
52023
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
K Hsu, JI Hamid, K Burns, C Finn, J Wu
arXiv preprint arXiv:2404.10282, 2024
22024
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
K Burns, A Jain, K Go, F Xia, M Stark, S Schaal, K Hausman
arXiv preprint arXiv:2404.06645, 2024
2024
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment
EZ Liu, D Yuan, A Ahmed, E Cornwall, J Woodrow, K Burns, A Nie, ...
Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024
2024
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