Katherine L. Hermann

18 papers A* 6B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	J	`jnl`	Representation biases: will we achieve complete understanding by analyzing representations? CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Yuxuan Li, Katherine L. Hermann
2024	J	`jnl`	Learned feature representations are biased by complexity, learning order, position, and more. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
2024	J	`jnl`	Learned feature representations are biased by complexity, learning order, position, and more. Trans. Mach. Learn. Res. Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
2024	A*	`conf`	On the Foundations of Shortcut Learning. ICLR Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR 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 Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2024	A*	`conf`	Understanding Visual Feature Reliance through the Lens of Complexity. NeurIPS Thomas Fel, Louis Béthune, Andrew K. Lampinen, Thomas Serre, Katherine L. Hermann
2024	J	`jnl`	Understanding Visual Feature Reliance through the Lens of Complexity. CoRR Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
2023	J	`jnl`	Getting aligned on representational alignment. CoRR 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
2023	A*	`conf`	Improving neural network representations using human similarity judgments. NeurIPS Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	J	`jnl`	Improving neural network representations using human similarity judgments. CoRR Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	A*	`conf`	Learning in temporally structured environments. ICLR Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer
2023	B	`conf`	Multitask Learning Via Interleaving: A Neural Network Investigation. CogSci David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
2023	J	`jnl`	On the Foundations of Shortcut Learning. CoRR Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer
2020	A*	`conf`	The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS Katherine L. Hermann, Ting Chen, Simon Kornblith
2020	A*	`conf`	What shapes feature representations? Exploring datasets, architectures, and training. NeurIPS Katherine L. Hermann, Andrew K. Lampinen
2020	J	`jnl`	What shapes feature representations? Exploring datasets, architectures, and training. CoRR Katherine L. Hermann, Andrew K. Lampinen
2019	J	`jnl`	Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. CoRR Katherine L. Hermann, Simon Kornblith