C. Fendley

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom C. Fendley trusts overall

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

1. Ali Ayub
2. Alex Krizhevsky
3. Kaiming He
4. Alan R. Wagner
5. Geoffrey E. Hinton
6. Tsung-Yi Lin
7. Ilya Sutskever
8. Ross B. Girshick
9. Anthony V. Robins
10. Yann LeCun

Papers from C. Fendley's perspective

Ordered by how strongly the researchers C. Fendley 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Few-Shot Continual Active Learning by a Robot (2022) — 36 citations