Nathan Glaser

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 98 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 — 31 citations into it
• Reinforcement Learning — 17 citations into it
• Model Architectures — 11 citations into it
• LLM Agents & Tool Use — 9 citations into it
• Natural Language Processing — 9 citations into it
• Game & Decision Theory — 5 citations into it

Whom Nathan Glaser trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yedid Hoshen
8. Yann LeCun
9. X. Zhang
10. Ilya Sutskever

Papers from Nathan Glaser's perspective

Ordered by how strongly the researchers Nathan Glaser 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Who2com: Collaborative Perception via Learnable Handshake Communication (2020) — 261 citations
• When2com: Multi-Agent Perception via Communication Graph Grouping (2020) — 340 citations