Erin Grant - RankMe

35 papers A* 8A 1B 7Journal 16Unranked 2

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`	Nonlinear dynamics of localization in neural receptive fields. CoRR Leon Lufkin, Andrew M. Saxe, Erin Grant
2025	A*	`conf`	Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks. ICML Lukas Braun, Erin Grant, Andrew M. Saxe
2024	A*	`conf`	Nonlinear dynamics of localization in neural receptive fields. NeurIPS Leon Lufkin, Andrew M. Saxe, Erin Grant
2023	J	`jnl`	Bayes in the age of intelligent machines. CoRR Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy
2023	A	`conf`	Gaussian Process Surrogate Models for Neural Networks. UAI Michael Y. Li, Erin Grant, Thomas L. Griffiths
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`	The Transient Nature of Emergent In-Context Learning in Transformers. NeurIPS Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
2023	J	`jnl`	The Transient Nature of Emergent In-Context Learning in Transformers. CoRR Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
2022	—	`—`	Cognitive analyses of machine learning systems Erin Grant
2022	A*	`conf`	Distinguishing rule and exemplar-based generalization in learning systems. ICML Ishita Dasgupta, Erin Grant, Tom Griffiths
2022	J	`jnl`	Gaussian process surrogate models for neural networks. CoRR Michael Y. Li, Erin Grant, Thomas L. Griffiths
2022	J	`jnl`	The Emergence of Gender Associations in Child Language Development. Cogn. Sci. Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu
2021	B	`conf`	Are Convolutional Neural Networks or Transformers more like human vision? CogSci Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths
2021	J	`jnl`	Are Convolutional Neural Networks or Transformers more like human vision? CoRR Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
2021	J	`jnl`	Distinguishing rule- and exemplar-based generalization in learning systems. CoRR Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
2021	A*	`conf`	Passive attention in artificial neural networks predicts human visual selectivity. NeurIPS Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
2021	J	`jnl`	Passive attention in artificial neural networks predicts human visual selectivity. CoRR Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
2020	J	`jnl`	Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths
2020	B	`conf`	Tracing the Emergence of Gendered Language in Childhood. CogSci Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu
2020	B	`conf`	Universal linguistic inductive biases via meta-learning. CogSci Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen
2020	J	`jnl`	Universal linguistic inductive biases via meta-learning. CoRR R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen
2019	B	`conf`	Learning deep taxonomic priors for concept learning from few positive examples. CogSci Erin Grant, Joshua C. Peterson, Tom Griffiths
2019	A*	`conf`	Reconciling meta-learning and continual learning with online mixtures of tasks. NeurIPS Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller
2018	A*	`conf`	Evaluating Theory of Mind in Question Answering. EMNLP Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
2018	J	`jnl`	Evaluating Theory of Mind in Question Answering. CoRR Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
2018	—	`conf`	Exploiting Attention to Reveal Shortcomings in Memory Models. BlackboxNLP@EMNLP Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths
2018	J	`jnl`	Online gradient-based mixtures for transfer modulation in meta-learning. CoRR Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller
2018	—	`conf`	Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. ICLR (Poster) Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths
2018	J	`jnl`	Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. CoRR Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths
2017	B	`conf`	How Can Memory-Augmented Neural Networks Pass a False-Belief Task? CogSci Erin Grant, Aida Nematzadeh, Thomas L. Griffiths
2016	B	`conf`	The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CogSci Erin Grant, Aida Nematzadeh, Suzanne Stevenson
2016	J	`jnl`	The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CoRR Erin Grant, Aida Nematzadeh, Suzanne Stevenson
2015	B	`conf`	A Computational Account of Novel Word Generalization. CogSci Aida Nematzadeh, Erin Grant, Suzanne Stevenson
2015	A*	`conf`	A Computational Cognitive Model of Novel Word Generalization. EMNLP Aida Nematzadeh, Erin Grant, Suzanne Stevenson