Kaylee Burns

According to our database, Kaylee Burns authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks.

Kaylee Burns, Ajinkya Jain, Keegan Go, Fei Xia, Michael Stark, Stefan Schaal, Karol Hausman

CoRR, 2024

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment.

Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning.

Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?

Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman

CoRR, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRR, 2023

Neural Functional Transformers.

Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning.

Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Offline Reinforcement Learning at Multiple Frequencies.

Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman

Proceedings of the Conference on Robot Learning, 2022

2021

Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning.

Kaylee Burns, Christopher D. Manning, Li Fei-Fei

CoRR, 2021

2018

SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection.

Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell

CoRR, 2018

Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract).

Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

CoRR, 2018

Women also Snowboard: Overcoming Bias in Captioning Models.

Kaylee Burns, Lisa Anne Hendricks, Trevor Darrell, Anna Rohrbach

CoRR, 2018

Object Hallucination in Image Captioning.

Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Evaluating Theory of Mind in Question Answering.

Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Attention to Reveal Shortcomings in Memory Models.

Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Women Also Snowboard: Overcoming Bias in Captioning Models.

Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

Proceedings of the Computer Vision - ECCV 2018, 2018