Joseph Campbell

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Joseph Campbell trusts overall

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

1. Shaoqing Ren
2. Jeffrey Pennington
3. Kaiming He
4. Jacob Devlin
5. Peter Anderson
6. Stephen James
7. Geoffrey E. Hinton
8. Richard Socher

Who trusts Joseph Campbell overall

1. Corey Lynch
2. Suraj Nair

Papers from Joseph Campbell's perspective

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

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

Their papers

• Language-Conditioned Imitation Learning for Robot Manipulation Tasks (2020) — 251 citations