W. Campbell

Artificial Intelligence · with Glaude · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Natural Language Processing — 8 citations into it

Whom W. Campbell trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alec Radford
5. Ross B. Girshick
6. Alex Krizhevsky
7. Jimmy Ba
8. Bharath Hariharan

Papers from W. Campbell's perspective

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

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

Their papers

• A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification (2019) — 91 citations