Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. - Katherine L. Hermann; Simon Kornblith (CoRR, 2019)

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. - Katherine L. Hermann; Ting Chen; Simon Kornblith (NeurIPS, 2020)

What shapes feature representations? Exploring datasets, architectures, and training. - Katherine L. Hermann; Andrew K. Lampinen (NeurIPS, 2020)

Multitask Learning Via Interleaving: A Neural Network Investigation. - David Mayo; Tyler R. Scott; Mengye Ren; Gamaledin Elsayed; Katherine L. Hermann; Matt Jones 001; Michael Mozer (CogSci, 2023)

Learning in temporally structured environments. - Matt Jones 001; Tyler R. Scott; Mengye Ren; Gamaleldin Fathy Elsayed; Katherine L. Hermann; David Mayo; Michael Curtis Mozer (ICLR, 2023)

Improving neural network representations using human similarity judgments. - Lukas Muttenthaler; Lorenz Linhardt; Jonas Dippel; Robert A. Vandermeulen; Katherine L. Hermann; Andrew K. Lampinen; Simon Kornblith (NeurIPS, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

On the Foundations of Shortcut Learning. - Katherine L. Hermann; Hossein Mobahi; Thomas Fel; Michael Curtis Mozer (ICLR, 2024)

Understanding Visual Feature Reliance through the Lens of Complexity. - Thomas Fel; Louis Béthune; Andrew K. Lampinen; Thomas Serre; Katherine L. Hermann (NeurIPS, 2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

Learned feature representations are biased by complexity, learning order, position, and more. - Andrew Kyle Lampinen; Stephanie C. Y. Chan; Katherine L. Hermann (Trans. Mach. Learn. Res., 2024)

Representation biases: will we achieve complete understanding by analyzing representations? - Andrew Kyle Lampinen; Stephanie C. Y. Chan; Yuxuan Li; Katherine L. Hermann (CoRR, 2025)