Follow
Chengxu Zhuang
Title
Cited by
Cited by
Year
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
4742019
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
3052021
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
2512018
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
832020
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
712020
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
612020
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
35*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
352017
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
312023
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
252023
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
242017
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
182022
Local label propagation for large-scale semi-supervised learning
C Zhuang, X Ding, D Murli, D Yamins
arXiv preprint arXiv:1905.11581, 2019
92019
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
72019
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, 1-12, 2023
62023
On the importance of views in unsupervised representation learning
M Wu, C Zhuang, D Yamins, N Goodman
preprint 3, 2020
32020
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
C Zhuang, E Fedorenko, J Andreas
arXiv preprint arXiv:2310.13257, 2023
22023
Using multiple optimization tasks to improve deep neural network models of higher ventral cortex
C Zhuang, D Yamins
Journal of Vision 18 (10), 905-905, 2018
22018
Predictive encoding of contextual relationships for perceptual inference, interpolation and prediction
M Zhao, C Zhuang, Y Wang, TS Lee
arXiv preprint arXiv:1411.3815, 2014
22014
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
C Zhuang, E Fedorenko, J Andreas
arXiv preprint arXiv:2403.14551, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20