Chengxu Zhuang

According to our database, Chengxu Zhuang authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora.

Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox

CoRR, 2024

The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences.

Bria Long, Violet Xiang, Stefan Stojanov, Robert Z. Sparks, Zi Yin, Grace E. Keene, Alvin W. M. Tan, Steven Y. Feng, Chengxu Zhuang, Virginia A. Marchman, Daniel L. K. Yamins, Michael C. Frank

CoRR, 2024

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang

CoRR, 2024

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes.

Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling.

Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation.

Aran Nayebi, Nathan C. L. Kong, Chengxu Zhuang, Justin L. Gardner, Anthony M. Norcia, Daniel L. K. Yamins

PLoS Comput. Biol., October, 2023

Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang

CoRR, 2023

2022

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?

Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Unsupervised neural network models of the ventral visual stream.

Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins

Proc. Natl. Acad. Sci. USA, 2021

Conditional Negative Sampling for Contrastive Learning of Visual Representations.

Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, Noah D. Goodman

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

On Mutual Information in Contrastive Learning for Visual Representations.

Mike Wu, Chengxu Zhuang, Milan Mosse, Daniel Yamins, Noah D. Goodman

CoRR, 2020

Unsupervised Learning From Video With Deep Neural Embeddings.

Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised Learning from Video with Deep Neural Embeddings.

Chengxu Zhuang, Alex Andonian, Daniel Yamins

CoRR, 2019

Local Label Propagation for Large-Scale Semi-Supervised Learning.

Chengxu Zhuang, Xuehao Ding, Divyanshu Murli, Daniel Yamins

CoRR, 2019

Local Aggregation for Unsupervised Learning of Visual Embeddings.

Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Flexible neural representation for physics prediction.

Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons.

Chengxu Zhuang, Yulong Wang, Daniel Yamins, Xiaolin Hu

Frontiers Comput. Neurosci., 2017

Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System.

Chengxu Zhuang, Jonas Kubilius, Mitra J. Z. Hartmann, Daniel Yamins

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction.

Mingmin Zhao, Chengxu Zhuang, Yizhou Wang, Tai Sing Lee

Proceedings of the 3rd International Conference on Learning Representations, 2015