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researcher

Yao Zhao

4 papers hereh-index 3367 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
same name
  • Yao Zhao — 44 papers, h 19
  • Yao Zhao — 39 papers, h 51
  • Yao Zhao — 24 papers, h 20
  • Yao Zhao — 20 papers, h 12
  • Yao Zhao — 16 papers, h 18
  • Yao Zhao — 14 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedArchitecture Selection via the Trade-off Between Accuracy and Robustness

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

Lyapunov-Stable Deep Equilibrium Models

Haoyu Chu, Shikui Wei, Ting Liu +2

Deep equilibrium (DEQ) models have emerged as a promising class of implicit layer models, which abandon traditional depth by solving for the fixed points of a single nonlinear laye…

cs.CV2022★ 1 cited

Improving Neural ODEs via Knowledge Distillation

Haoyu Chu, Shikui Wei, Qiming Lu +1

Neural Ordinary Differential Equations (Neural ODEs) construct the continuous dynamics of hidden units using ordinary differential equations specified by a neural network, demonstr…

cs.LG2019★ 3 cited

Architecture Selection via the Trade-off Between Accuracy and Robustness

Zhun Deng, Cynthia Dwork, Jialiang Wang +1

We provide a general framework for characterizing the trade-off between accuracy and robustness in supervised learning. We propose a method and define quantities to characterize th…

cs.CV2018★ 1 cited

Adversarial Attacks and Defences Competition

Alexey Kurakin, Ian Goodfellow, Samy Bengio +20

To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.