Niv Haim
Computational Mechanics · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 26 citations into it; #7,340 of 10,001 by trust here, #3,652 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #15,950 of 21,575 by trust here, #11,721 by citations
- Computer Graphics and Computer-Aided Design — 16 citations into it
- 3D Vision & Pose — 15 citations into it
- Artificial Intelligence — 6 citations into it
Whom Niv Haim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Niv Haim overall
Papers from Niv Haim's perspective
Ordered by how strongly the researchers Niv Haim trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- ImageNet classification with deep convolutional neural networks
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Implicit Geometric Regularization for Learning Shapes (2020) — 1,034 citations