Ofer Meshi
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 217 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #27,994 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #17,238 of 21,575 by trust here, #21,424 by citations
- Optimization & Training — 23 citations into it; #1,101 of 2,601 by trust here, #2,215 by citations
- Model Architectures — 22 citations into it
- Natural Language Processing — 18 citations into it; #4,605 of 5,688 by trust here, #5,214 by citations
- Computational Mechanics — 8 citations into it
- Information Systems — 8 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Ofer Meshi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Martin Jaggi
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- B. Taskar
- Yann LeCun
- Michael I. Jordan
Who trusts Ofer Meshi overall
- Sebastian Pokutta
- Frédéric Koriche
- Cyrille W. Combettes
- Alejandro Carderera
- Gábor Braun
- Gauthier Gidel
- Yassine Yaakoubi
- Simon Lacoste-Julien
Papers from Ofer Meshi's perspective
Ordered by how strongly the researchers Ofer Meshi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Seq2Slate: Re-ranking and Slate Optimization with RNNs (2018) — 114 citations
- Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes (2016) — 58 citations
- Deep Structured Prediction with Nonlinear Output Transformations (2018) — 27 citations