Kaylee Burns

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Normalized Correlation

Reinforcement Learning

Extended Abstract

Top Venues

Publications

Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. CoRR (2024)
Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) (2024)
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 (2024)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. NeurIPS (2023)
Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. CoRR (2023)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. NeurIPS (2023)
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)
Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman
Offline Reinforcement Learning at Multiple Frequencies. CoRR (2022)
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 (2022)
Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman
Offline Reinforcement Learning at Multiple Frequencies. CoRL (2022)
Kaylee Burns, Christopher D. Manning, Li Fei-Fei
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. CoRR (2021)
Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Exploiting Attention to Reveal Shortcomings in Memory Models. BlackboxNLP@EMNLP (2018)
Kaylee Burns, Lisa Anne Hendricks, Trevor Darrell, Anna Rohrbach
Women also Snowboard: Overcoming Bias in Captioning Models. CoRR (2018)
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). CoRR (2018)
Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko
Object Hallucination in Image Captioning. CoRR (2018)
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Evaluating Theory of Mind in Question Answering. CoRR (2018)
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach
Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) (2018)
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Evaluating Theory of Mind in Question Answering. EMNLP (2018)
Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR (2018)
Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko
Object Hallucination in Image Captioning. EMNLP (2018)