Hamed Jelodar
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Information Systems — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Natural Language Processing — 10 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
Whom Hamed Jelodar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David M. Blei
- Andrew McCallum
- Matthew S. Gerber
- T. Griffiths
- Hazel Victoria Campbell
- Michael I. Jordan
- Xuerui Wang
- Tom Minka
- Geoffrey E. Hinton
- Wei Li
Who trusts Hamed Jelodar overall
Papers from Hamed Jelodar's perspective
Ordered by how strongly the researchers Hamed Jelodar 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)