Arthur Fender C. Bucker

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Reinforcement Learning — 11 citations into it

Whom Arthur Fender C. Bucker trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Wenlong Huang
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ross B. Girshick
7. Yoshua Bengio

Papers from Arthur Fender C. Bucker's perspective

Ordered by how strongly the researchers Arthur Fender C. Bucker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ChatGPT for Robotics: Design Principles and Model Abilities (2023) — 711 citations