James L. McClelland
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2000–2024
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | SODA: Bottleneck Diffusion Models for Representation Learning. | Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner |
| 2023 | ACL | Causal interventions expose implicit situation models for commonsense language understanding. | Takateru Yamakoshi, James L. McClelland, Adele Goldberg, Robert D. Hawkins |
| 2022 | EMNLP | Can language models learn from explanations in context? | Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill |
| 2022 | ICML | Tell me why! Explanations support learning relational and causal structure. | Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill |
| 2020 | AAAI | Generative Continual Concept Learning. | Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland |
| 2020 | ICLR | Environmental drivers of systematicity and generalization in a situated agent. | Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro |
| 2017 | CogSci | Geometric Concept Acquisition in a Dueling Deep Q-Network. | Alex Kuefler, Mykel J. Kochenderfer, James L. McClelland |
| 2017 | CogSci | Analogies Emerge from Learning Dyamics in Neural Networks. | Andrew K. Lampinen, Shaw Hsu, James L. McClelland |
| 2017 | CogSci | Neural responses decrease while performance increases with practice: A neural network model. | Milena Rabovsky, Steven Stenberg Hansen, James L. McClelland |
| 2016 | CogSci | Tutorial Workshop on Contemporary Deep Neural Network Models. | James L. McClelland, Steven Stenberg Hansen, Andrew M. Saxe |
| 2016 | CogSci | N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model. | Milena Rabovsky, Steven Stenberg Hansen, James L. McClelland |
| 2016 | CogSci | Emergence of Euclidean geometrical intuitions in hierarchical generative models. | Arianna Yuan, Te-Lin Wu, James L. McClelland |
| 2015 | CogSci | Connecting learning, memory, and representation in math education. | Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine M. Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey |
| 2014 | CogSci | Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition. | Steven Stenberg Hansen, Cameron R. L. McKenzie, James L. McClelland |
| 2014 | CogSci | A neural network model of learning mathematical equivalence. | Kevin W. Mickey, James L. McClelland |
| 2013 | CogSci | From symbols to analog magnitudes: A process model of fraction comparison, with fits to experimental data. | Cameron R. L. McKenzie, James L. McClelland |
| 2013 | CogSci | Running circles around symbol manipulation in trigonometry. | Kevin W. Mickey, James L. McClelland |
| 2013 | CogSci | Learning hierarchical categories in deep neural networks. | Andrew M. Saxe, James L. McClelland, Surya Ganguli |
| 2013 | CogSci | Progressive Development of the Number Sense in a Deep Neural Network. | Will Y. Zou, James L. McClelland |
| 2011 | CogSci | Estimating the strength of unlabeled information during semi-supervised learning. | Brenden M. Lake, James L. McClelland |
| 2000 | Interspeech | Normal and impaired processing in quasi-regular domains of language: the case of English past-tense verbs. | Karalyn Patterson, Matthew A. Lambon Ralph, Helen Bird, John R. Hodges, James L. McClelland |