Women Also Snowboard: Overcoming Bias in Captioning Models. - Lisa Anne Hendricks; Kaylee Burns; Kate Saenko; Trevor Darrell; Anna Rohrbach (ECCV (3), 2018)

Exploiting Attention to Reveal Shortcomings in Memory Models. - Kaylee Burns; Aida Nematzadeh; Erin Grant; Alison Gopnik; Thomas L. Griffiths 001 (BlackboxNLP@EMNLP, 2018)

Evaluating Theory of Mind in Question Answering. - Aida Nematzadeh; Kaylee Burns; Erin Grant; Alison Gopnik; Thomas L. Griffiths 001 (EMNLP, 2018)

Object Hallucination in Image Captioning. - Anna Rohrbach; Lisa Anne Hendricks; Kaylee Burns; Trevor Darrell; Kate Saenko (EMNLP, 2018)

Women also Snowboard: Overcoming Bias in Captioning Models. - Kaylee Burns; Lisa Anne Hendricks; Trevor Darrell; Anna Rohrbach (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)

SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. - Eric Tzeng; Kaylee Burns; Kate Saenko; Trevor Darrell (CoRR, 2018)

Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. - Kaylee Burns; Christopher D. Manning; Li Fei-Fei 001 (CoRR, 2021)

Offline Reinforcement Learning at Multiple Frequencies. - Kaylee Burns; Tianhe Yu; Chelsea Finn; Karol Hausman (CoRL, 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 001 (ICRA, 2022)

Permutation Equivariant Neural Functionals. - Allan Zhou; Kaien Yang; Kaylee Burns; Adriano Cardace; Yiding Jiang; Samuel Sokota; J. Zico Kolter; Chelsea Finn (NeurIPS, 2023)

Neural Functional Transformers. - Allan Zhou; Kaien Yang; Yiding Jiang; Kaylee Burns; Winnie Xu; Samuel Sokota; J. Zico Kolter; Chelsea Finn (NeurIPS, 2023)

Permutation Equivariant Neural Functionals. - Allan Zhou; Kaien Yang; Kaylee Burns; Yiding Jiang; Samuel Sokota; J. Zico Kolter; Chelsea Finn (CoRR, 2023)

What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? - Kaylee Burns; Zach Witzel; Jubayer Ibn Hamid; Tianhe Yu; Chelsea Finn; Karol Hausman (CoRL, 2024)

Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. - Kyle Hsu; Jubayer Ibn Hamid; Kaylee Burns; Chelsea Finn; Jiajun Wu 001 (ICML, 2024)

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. - Kaylee Burns; Ajinkya Jain; Keegan Go; Fei Xia 002; Michael Stark 003; Stefan Schaal; Karol Hausman (IROS, 2024)

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. - Evan Zheran Liu; David Yuan 001; Ahmed Ahmed; Elyse Cornwall; Juliette Woodrow; Kaylee Burns; Allen Nie; Emma Brunskill; Chris Piech; Chelsea Finn (SIGCSE (1), 2024)

RoboCrowd: Scaling Robot Data Collection through Crowdsourcing. - Suvir Mirchandani; David D. Yuan; Kaylee Burns; Md Sazzad Islam; Tony Z. Zhao; Chelsea Finn; Dorsa Sadigh (CoRR, 2024)