OpenAI Dota Team

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #25,016 of 35,345 by trust here, #13,544 by citations
• Optimization & Training — 27 citations into it; #2,026 of 2,601 by trust here, #1,248 by citations
• Computer Vision and Pattern Recognition — 25 citations into it

Whom OpenAI Dota Team trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Alex Krizhevsky

Who trusts OpenAI Dota Team overall

1. Samuel L. Smith
2. Soham De
3. Prafulla Dhariwal

Papers from OpenAI Dota Team's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet: A large-scale hierarchical image database
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An Empirical Model of Large-Batch Training (2018) — 416 citations