Hemeng Tao
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Hemeng Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hemeng Tao's perspective
Ordered by how strongly the researchers Hemeng Tao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge