Yonatan Shafir
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it
- Control and Systems Engineering — 24 citations into it
- Generative Models — 23 citations into it
- Artificial Intelligence — 10 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
- Computational Mechanics — 8 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Yonatan Shafir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan Ho
- Diederik P. Kingma
- Naureen Mahmood
- Michael J. Black
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Guy Tevet
Who trusts Yonatan Shafir overall
Papers from Yonatan Shafir's perspective
Ordered by how strongly the researchers Yonatan Shafir trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Human Motion Diffusion Model (2022) — 1,358 citations
- Human Motion Diffusion as a Generative Prior (2023) — 406 citations