William Silva

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Reinforcement Learning — 23 citations into it

Whom William Silva trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Pieter Abbeel
6. L. V. D. van der Maaten
7. Sergey Levine
8. Yann LeCun
9. Richard S. Sutton
10. Ilya Sutskever

Papers from William Silva's perspective

Ordered by how strongly the researchers William Silva trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• LanCon-Learn: Learning with Language to Enable Generalization in Multi-Task Manipulation (2021) — 40 citations