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Kaylee Burns
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2020 – today
- 2024
- [c10]Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu:
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. ICML 2024 - [c9]Evan Zheran Liu
, David Yuan
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) 2024: 736-742 - [i13]Kaylee Burns, Ajinkya Jain, Keegan Go, Fei Xia, Michael Stark, Stefan Schaal, Karol Hausman:
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. CoRR abs/2404.06645 (2024) - [i12]Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu:
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. CoRR abs/2404.10282 (2024) - 2023
- [c8]Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. NeurIPS 2023 - [c7]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. NeurIPS 2023 - [i11]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i10]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. CoRR abs/2305.13546 (2023) - [i9]Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman:
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRR abs/2312.12444 (2023) - 2022
- [c6]Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman:
Offline Reinforcement Learning at Multiple Frequencies. CoRL 2022: 2041-2051 - [c5]Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng:
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. ICRA 2022: 2656-2662 - [i8]Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng:
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. CoRR abs/2203.01983 (2022) - [i7]Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman:
Offline Reinforcement Learning at Multiple Frequencies. CoRR abs/2207.13082 (2022) - 2021
- [i6]Kaylee Burns, Christopher D. Manning, Li Fei-Fei:
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. CoRR abs/2107.09285 (2021)
2010 – 2019
- 2018
- [c4]Lisa Anne Hendricks
Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) 2018: 793-811 - [c3]Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Exploiting Attention to Reveal Shortcomings in Memory Models. BlackboxNLP@EMNLP 2018: 378-380 - [c2]Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Evaluating Theory of Mind in Question Answering. EMNLP 2018: 2392-2400 - [c1]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. EMNLP 2018: 4035-4045 - [i5]Kaylee Burns, Lisa Anne Hendricks, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models. CoRR abs/1803.09797 (2018) - [i4]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). CoRR abs/1807.00517 (2018) - [i3]Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Evaluating Theory of Mind in Question Answering. CoRR abs/1808.09352 (2018) - [i2]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. CoRR abs/1809.02156 (2018) - [i1]Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell:
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR abs/1812.00929 (2018)
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last updated on 2024-11-14 00:55 CET by the dblp team
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