My Ha Dao
Statistical and Nonlinear Physics · 2021
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 26 citations into it
- Computational Mechanics — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Artificial Intelligence — 8 citations into it
- AI for Physical Sciences — 7 citations into it
Whom My Ha Dao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from My Ha Dao's perspective
Ordered by how strongly the researchers My Ha Dao trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database