Evani Radiya-Dixit
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Natural Language Processing — 16 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Efficiency & Compression — 9 citations into it
Whom Evani Radiya-Dixit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Matthieu Courbariaux
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Ido Dagan
- Jacob Devlin
- Ilya Sutskever
- Yann LeCun
Who trusts Evani Radiya-Dixit overall
Papers from Evani Radiya-Dixit's perspective
Ordered by how strongly the researchers Evani Radiya-Dixit 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- How fine can fine-tuning be? Learning efficient language models (2020) — 77 citations