Ajay Kannan
Artificial Intelligence · 2017
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #20,616 of 35,345 by trust here, #6,229 by citations
- Signal Processing — 36 citations into it
- Natural Language Processing — 31 citations into it; #2,165 of 5,688 by trust here, #1,034 by citations
- Speech & Audio — 28 citations into it; #662 of 1,076 by trust here, #263 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Model Architectures — 18 citations into it; #1,587 of 2,278 by trust here, #731 by citations
Whom Ajay Kannan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dzmitry Bahdanau
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kyunghyun Cho
- Ilya Sutskever
- Kaiming He
Who trusts Ajay Kannan overall
Papers from Ajay Kannan's perspective
Ordered by how strongly the researchers Ajay Kannan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep Voice 3: 2000-Speaker Neural Text-to-Speech (2017) — 322 citations
- Deep Speaker: an End-to-End Neural Speaker Embedding System (2017) — 533 citations
- Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning (2017) — 494 citations