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Ziyang Wu
Ziyang Wu
PhD, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Automl pipeline selection: Efficiently navigating the combinatorial space
C Yang, J Fan, Z Wu, M Udell
proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
352020
Incremental learning via rate reduction
Z Wu, C Baek, C You, Y Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
332021
Ctrl: Closed-loop transcription to an ldr via minimaxing rate reduction
X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ...
Entropy 24 (4), 456, 2022
222022
White-box transformers via sparse rate reduction
Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma
Advances in Neural Information Processing Systems 36, 2024
192024
Incremental learning of structured memory via closed-loop transcription
S Tong, X Dai, Z Wu, M Li, B Yi, Y Ma
arXiv preprint arXiv:2202.05411, 2022
162022
Emergence of segmentation with minimalistic white-box transformers
Y Yu, T Chu, S Tong, Z Wu, D Pai, S Buchanan, Y Ma
arXiv preprint arXiv:2308.16271, 2023
102023
Closed-loop data transcription to an ldr via minimaxing rate reduction
X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ...
arXiv preprint arXiv:2111.06636, 2021
102021
Efficient maximal coding rate reduction by variational forms
C Baek, Z Wu, KHR Chan, T Ding, Y Ma, BD Haeffele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
Tenips: Inverse propensity sampling for tensor completion
C Yang, L Ding, Z Wu, M Udell
International Conference on Artificial Intelligence and Statistics, 3160-3168, 2021
92021
Can we characterize tasks without labels or features?
B Wallace, Z Wu, B Hariharan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
How low can we go: Trading memory for error in low-precision training
C Yang, Z Wu, J Chee, C De Sa, M Udell
arXiv preprint arXiv:2106.09686, 2021
32021
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, H Bai, Y Zhai, ...
arXiv preprint arXiv:2311.13110, 2023
12023
When Do We Not Need Larger Vision Models?
B Shi, Z Wu, M Mao, X Wang, T Darrell
arXiv preprint arXiv:2403.13043, 2024
2024
Masked Completion via Structured Diffusion with White-Box Transformers
D Pai, Z Wu, S Buchanan, T Chu, Y Yu, Y Ma
Conference on Parsimony and Learning (Recent Spotlight Track), 2023
2023
Automated Machine Learning and Task Space Navigation
Z Wu
2021
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