Sepideh Esmaeilpour
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 314 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 120 citations into it; #24,727 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 78 citations into it; #16,806 of 21,575 by trust here, #20,271 by citations
- Meta & Continual Learning — 40 citations into it
- Natural Language Processing — 36 citations into it
- Representation & Self-Supervised Learning — 29 citations into it
- Reinforcement Learning — 16 citations into it
- Optimization & Training — 12 citations into it
- Model Architectures — 10 citations into it
Whom Sepideh Esmaeilpour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Dan Hendrycks
- Jimmy Ba
- Ross B. Girshick
Who trusts Sepideh Esmaeilpour overall
Papers from Sepideh Esmaeilpour's perspective
Ordered by how strongly the researchers Sepideh Esmaeilpour 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- ImageNet Large Scale Visual Recognition Challenge