Dimitri Kanvesky
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Natural Language Processing — 7 citations into it
- Model Architectures — 5 citations into it
Whom Dimitri Kanvesky trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
- Christian Szegedy (in Artificial Intelligence)
- Sergey Ioffe (in Artificial Intelligence)
- Navdeep Jaitly (in Artificial Intelligence)
- Mike Schuster (in Natural Language Processing)
- Oriol Vinyals (in Artificial Intelligence)
- Kyunghyun Cho (in Artificial Intelligence)
- Dzmitry Bahdanau (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
Papers from Dimitri Kanvesky's perspective
Ordered by how strongly the researchers Dimitri Kanvesky trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Bidirectional recurrent neural networks