| Local aggregation for unsupervised learning of visual embeddings C Zhuang, AL Zhai, D Yamins Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 543 | 2019 |
| Unsupervised neural network models of the ventral visual stream C Zhuang, S Yan, A Nayebi, M Schrimpf, MC Frank, JJ DiCarlo, ... Proceedings of the National Academy of Sciences 118 (3), e2014196118, 2021 | 410 | 2021 |
| Flexible neural representation for physics prediction D Mrowca, C Zhuang, E Wang, N Haber, LF Fei-Fei, J Tenenbaum, ... Advances in neural information processing systems 31, 2018 | 290 | 2018 |
| On mutual information in contrastive learning for visual representations M Wu, C Zhuang, M Mosse, D Yamins, N Goodman arXiv preprint arXiv:2005.13149, 2020 | 100 | 2020 |
| Findings of the BabyLM Challenge: Sample-efficient pretraining on developmentally plausible corpora A Warstadt, A Mueller, L Choshen, E Wilcox, C Zhuang, J Ciro, ... Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023 | 99 | 2023 |
| Conditional negative sampling for contrastive learning of visual representations M Wu, M Mosse, C Zhuang, D Yamins, N Goodman arXiv preprint arXiv:2010.02037, 2020 | 96 | 2020 |
| Unsupervised learning from video with deep neural embeddings C Zhuang, T She, A Andonian, MS Mark, D Yamins Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 76 | 2020 |
| Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation A Nayebi, NCL Kong, C Zhuang, JL Gardner, AM Norcia, DLK Yamins PLOS Computational Biology 19 (10), e1011506, 2023 | 51* | 2023 |
| Call for Papers--The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus A Warstadt, L Choshen, A Mueller, A Williams, E Wilcox, C Zhuang arXiv preprint arXiv:2301.11796, 2023 | 46 | 2023 |
| Toward goal-driven neural network models for the rodent whisker-trigeminal system C Zhuang, J Kubilius, MJ Hartmann, DL Yamins Advances in Neural Information Processing Systems 30, 2017 | 38 | 2017 |
| Deep learning predicts correlation between a functional signature of higher visual areas and sparse firing of neurons C Zhuang, Y Wang, D Yamins, X Hu Frontiers in computational neuroscience 11, 100, 2017 | 27 | 2017 |
| How well do unsupervised learning algorithms model human real-time and life-long learning? C Zhuang, Z Xiang, Y Bai, X Jia, N Turk-Browne, K Norman, JJ DiCarlo, ... Advances in neural information processing systems 35, 22628-22642, 2022 | 21 | 2022 |
| The BabyView camera: designing a new head-mounted camera to capture children’s early social and visual environments B Long, S Goodin, G Kachergis, VA Marchman, SF Radwan, RZ Sparks, ... Behavior Research Methods 56 (4), 3523-3534, 2024 | 10 | 2024 |
| Self-supervised neural network models of higher visual cortex development C Zhuang, S Yan, A Nayebi, D Yamins 2019 Conference on Cognitive Computational Neuroscience, 566-569, 2019 | 10 | 2019 |
| Local label propagation for large-scale semi-supervised learning C Zhuang, X Ding, D Murli, D Yamins arXiv preprint arXiv:1905.11581, 2019 | 9 | 2019 |
| [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus L Choshen, R Cotterell, MY Hu, T Linzen, A Mueller, C Ross, A Warstadt, ... arXiv preprint arXiv:2404.06214, 2024 | 7 | 2024 |
| Bigger is not always better: The importance of human-scale language modeling for psycholinguistics EG Wilcox, M Hu, A Mueller, T Linzen, A Warstadt, L Choshen, C Zhuang, ... OSF, 2024 | 7 | 2024 |
| Visual grounding helps learn word meanings in low-data regimes C Zhuang, E Fedorenko, J Andreas arXiv preprint arXiv:2310.13257, 2023 | 6 | 2023 |
| The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences B Long, V Xiang, S Stojanov, RZ Sparks, Z Yin, GE Keene, AWM Tan, ... arXiv preprint arXiv:2406.10447, 2024 | 3 | 2024 |
| On the importance of views in unsupervised representation learning M Wu, C Zhuang, D Yamins, N Goodman preprint 3, 2020 | 3 | 2020 |