Amir Bar
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 434 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 215 citations into it
- Artificial Intelligence — 197 citations into it
- Representation & Self-Supervised Learning — 107 citations into it
- Generative Models — 37 citations into it
- Natural Language Processing — 23 citations into it
- Optimization & Training — 18 citations into it
Whom Amir Bar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Alexei A. Efros
- Karen Simonyan
Who trusts Amir Bar overall
Papers from Amir Bar's perspective
Ordered by how strongly the researchers Amir Bar 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning Individual Styles of Conversational Gesture (2019) — 398 citations
- Language Generation with Recurrent Generative Adversarial Networks without Pre-training (2017) — 105 citations
- Visual Prompting via Image Inpainting (2022) — 324 citations
- A Cookbook of Self-Supervised Learning (2023) — 398 citations