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Emin Orhan
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Skip connections eliminate singularities
AE Orhan, X Pitkow
International Conference on Learning Representations, 2018
354*2018
A diverse range of factors affect the nature of neural representations underlying short-term memory
AE Orhan, WJ Ma
Nature Neuroscience 22 (2), 275, 2019
1372019
Self-supervised learning through the eyes of a child
AE Orhan, VV Gupta, BM Lake
Advances in Neural Information Processing Systems 33, 2020
1212020
A probabilistic clustering theory of the organization of visual short-term memory.
AE Orhan, RA Jacobs
Psychological Review 120 (2), 297, 2013
1032013
Efficient probabilistic inference in generic neural networks trained with non-probabilistic feedback
AE Orhan, WJ Ma
Nature Communications 8 (1), 1-14, 2017
862017
The adaptive nature of visual working memory
AE Orhan, CR Sims, RA Jacobs, DC Knill
Current Directions in Psychological Science 23 (3), 164-170, 2014
812014
Grounded language acquisition through the eyes and ears of a single child
WK Vong, W Wang, AE Orhan, BM Lake
Science 383 (6682), 504-511, 2024
512024
Neural population coding of multiple stimuli
AE Orhan, WJ Ma
Journal of Neuroscience 35 (9), 3825-3841, 2015
422015
Robustness properties of Facebook's ResNeXt WSL models
AE Orhan
arXiv preprint arXiv:1907.07640, 2019
412019
Toward ecologically realistic theories in visual short-term memory research
AE Orhan, RA Jacobs
Attention, Perception, & Psychophysics 76, 2158-2170, 2014
392014
Particle filtering
E Orhan
Center for Neural Science, University of Rochester, Rochester, NY 8 (11), 2012
39*2012
A simple cache model for image recognition
AE Orhan
Advances in Neural Information Processing Systems 31, 2018
322018
Learning high-level visual representations from a child’s perspective without strong inductive biases
AE Orhan, BM Lake
Nature Machine Intelligence 6 (3), 271-283, 2024
22*2024
Are performance limitations in visual short-term memory tasks due to capacity limitations or model mismatch?
AE Orhan, RA Jacobs
arXiv preprint arXiv:1407.0644, 2014
18*2014
Improved memory in recurrent neural networks with sequential non-normal dynamics
AE Orhan, X Pitkow
International Conference on Learning Representations, 2020
172020
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
AE Orhan
arXiv preprint arXiv:2109.11523, 2021
72021
Compositional generalization in semantic parsing with pretrained transformers
AE Orhan
arXiv preprint arXiv:2109.15101, 2021
62021
Cross-situational Word Learning from Naturalistic Headcam Data
WK Vong, E Orhan, B Lake
CUNY 2021, 2021
62021
Visual learning with reliable and unreliable features
AE Orhan, MM Michel, RA Jacobs
Journal of Vision 10 (2), 2-2, 2010
62010
The hopfield model
E Orhan
Technical report, NYU, 2014
52014
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Articles 1–20