Ivan Titov
Artificial Intelligence · with Havrylov · 2017
A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #9,576 of 35,345 by trust here, #17,110 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Natural Language Processing — 8 citations into it
- Reinforcement Learning — 8 citations into it
Whom Ivan Titov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Yoshua Bengio
- Andriy Mnih
- Karen Simonyan
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sepp Hochreiter
- Oriol Vinyals
- J. Urgen Schmidhuber
- Alex Krizhevsky
Who trusts Ivan Titov overall
- Angeliki Lazaridou
- Stephan Alaniz
- Yun Chen
- Christos Baziotis
- Alex Peysakhovich
- Khanh Nguyen
- Ankit Vani
- Adrian Weller
Papers from Ivan Titov's perspective
Ordered by how strongly the researchers Ivan Titov 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)