Tomer Lancewicki
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #13,723 of 35,345 by trust here, #26,682 by citations
- Computer Networks and Communications — 9 citations into it; #3,594 of 9,886 by trust here, #7,832 by citations
- Signal Processing — 8 citations into it; #3,006 of 7,572 by trust here, #6,083 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Tomer Lancewicki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Benjamin Goodrich
- Yoshua Bengio
- Geoffrey E. Hinton
- James Bergstra
- Olivier Ledoit
- Juliane Schäfer
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Tomer Lancewicki overall
Papers from Tomer Lancewicki's perspective
Ordered by how strongly the researchers Tomer Lancewicki trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)