Ziyue Huang
Optimization & Training · 2019
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 19 citations into it
- Artificial Intelligence — 16 citations into it; #23,458 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 11 citations into it; #14,536 of 21,575 by trust here, #17,258 by citations
- Efficiency & Compression — 7 citations into it
- Computational Mechanics — 5 citations into it; #6,494 of 10,001 by trust here, #6,877 by citations
- ML Systems & Hardware — 5 citations into it
Whom Ziyue Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Jeremy Bernstein
- Sebastian U. Stich
- Alham Fikri Aji
- Geoffrey E. Hinton
- Alex Graves
- Ilya Sutskever
- Kaiming He
- Alex Krizhevsky
- Frank Torsten Bernd Seide
Who trusts Ziyue Huang overall
Papers from Ziyue Huang's perspective
Ordered by how strongly the researchers Ziyue Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback (2019) — 121 citations