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Yu Feng 0004

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affiliation: IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

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2020 – today

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2024
[j4]
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  - journals/ploscb/FengB24
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Yu Feng, Nicolas Brunel:
Attractor neural networks with double well synapses. PLoS Comput. Biol. 20(2) (2024)
2023
[j3]
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  - journals/natmi/FengZT23
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Yu Feng, Wei Zhang, Yuhai Tu:
Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization. Nat. Mac. Intell. 5(8): 908-918 (2023)
2021
[j2]
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  - journals/mlst/FengT21
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Yu Feng, Yuhai Tu:
Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data. Mach. Learn. Sci. Technol. 2(4): 43001 (2021)
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Yu Feng, Yuhai Tu:
The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. Proc. Natl. Acad. Sci. USA 118(9): e2015617118 (2021)
[i3]
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  - journals/corr/abs-2101-06509
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Yu Feng, Yuhai Tu:
Phases of learning dynamics in artificial neural networks: with or without mislabeled data. CoRR abs/2101.06509 (2021)
[i2]
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  - journals/corr/abs-2112-01433
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Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu:
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR abs/2112.01433 (2021)
2020
[i1]
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  - journals/corr/abs-2001-01678
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Yu Feng, Yuhai Tu:
How neural networks find generalizable solutions: Self-tuned annealing in deep learning. CoRR abs/2001.01678 (2020)

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