Katherine L. Hermann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Feature Representations

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Top Venues

Publications

Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer
On the Foundations of Shortcut Learning. ICLR (2024)
Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
Understanding Visual Feature Reliance through the Lens of Complexity. CoRR (2024)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
Learned feature representations are biased by complexity, learning order, position, and more. CoRR (2024)
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, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR (2024)
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments. CoRR (2023)
David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
Multitask Learning Via Interleaving: A Neural Network Investigation. CogSci (2023)
Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer
On the Foundations of Shortcut Learning. CoRR (2023)
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments. NeurIPS (2023)
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, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
Getting aligned on representational alignment. CoRR (2023)
Katherine L. Hermann, Andrew K. Lampinen
What shapes feature representations? Exploring datasets, architectures, and training. NeurIPS (2020)
Katherine L. Hermann, Andrew K. Lampinen
What shapes feature representations? Exploring datasets, architectures, and training. CoRR (2020)
Katherine L. Hermann, Ting Chen, Simon Kornblith
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS (2020)
Katherine L. Hermann, Simon Kornblith
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. CoRR (2019)