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ORCIDKatherine L. Hermann
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Conference and Workshop Papers
- 2024
[c6]Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer:
On the Foundations of Shortcut Learning. ICLR 2024- 2023
- [c5]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 - [c4]Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer:
Learning in temporally structured environments. ICLR 2023 - [c3]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 - 2020
- [c2]Katherine L. Hermann, Ting Chen, Simon Kornblith:
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS 2020 - [c1]Katherine L. Hermann, Andrew K. Lampinen:
What shapes feature representations? Exploring datasets, architectures, and training. NeurIPS 2020
Informal and Other Publications
- 2024
- [i8]Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann:
Learned feature representations are biased by complexity, learning order, position, and more. CoRR abs/2405.05847 (2024) - [i7]Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann:
Understanding Visual Feature Reliance through the Lens of Complexity. CoRR abs/2407.06076 (2024) - [i6]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 abs/2407.12687 (2024) - 2023
- [i5]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 abs/2306.04507 (2023) - [i4]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 abs/2310.13018 (2023) - [i3]Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer:
On the Foundations of Shortcut Learning. CoRR abs/2310.16228 (2023) - 2020
- [i2]Katherine L. Hermann, Andrew K. Lampinen:
What shapes feature representations? Exploring datasets, architectures, and training. CoRR abs/2006.12433 (2020) - 2019
- [i1]Katherine L. Hermann, Simon Kornblith:
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. CoRR abs/1911.09071 (2019)
Coauthor Index
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