Kianté Brantley
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 92 citations into it; #26,715 of 35,345 by trust here, #13,353 by citations
- Natural Language Processing — 81 citations into it; #4,392 of 5,688 by trust here, #2,846 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #16,391 of 21,575 by trust here, #13,542 by citations
- Reinforcement Learning — 35 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Model Architectures — 15 citations into it
- Optimization & Training — 8 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Kianté Brantley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Diederik P. Kingma
- Kyunghyun Cho
- Alex Krizhevsky
- Yann LeCun
- Oriol Vinyals
- Alex Graves
Who trusts Kianté Brantley overall
Papers from Kianté Brantley's perspective
Ordered by how strongly the researchers Kianté Brantley trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)