Zebang Shen
Optimization & Training · 2018
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 14 citations into it
- Computer Networks and Communications — 11 citations into it
- Artificial Intelligence — 8 citations into it
- Computational Mechanics — 8 citations into it
- Mathematical Optimization — 5 citations into it
Whom Zebang Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aaron Defazio
- Wei Shi
- Qing Ling
- Kun Yuan
- Angelia Nedić
- Aryan Mokhtari
- Rie Johnson
- Alejandro Ribeiro
- Francis R. Bach
- Wotao Yin
Who trusts Zebang Shen overall
Papers from Zebang Shen's perspective
Ordered by how strongly the researchers Zebang Shen 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Accelerating Stochastic Gradient Descent using Predictive Variance Reduction