Lawrence Neal

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #34,186 of 35,345 by trust here, #18,586 by citations
• Computer Vision and Pattern Recognition — 29 citations into it
• Generative Models — 18 citations into it

Whom Lawrence Neal trusts overall

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

1. Walter J. Scheirer
2. Terrance E. Boult
3. Lalit P. Jain
4. Geoffrey E. Hinton
5. Mehdi Mirza
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ian J. Goodfellow
9. Abhijit Bendale
10. Alex Krizhevsky

Who trusts Lawrence Neal overall

1. Poojan Oza
2. Da-Wei Zhou
3. Chuanxing Geng
4. Guangyao Chen
5. Sepideh Esmaeilpour
6. Zhen Fang
7. Mengyu Wang
8. Xin Sun
9. Bo Liu
10. Ryota Yoshihashi

Papers from Lawrence Neal's perspective

Ordered by how strongly the researchers Lawrence Neal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Open Set Learning with Counterfactual Images (2018) — 537 citations
• Counterfactual States for Atari Agents via Generative Deep Learning (2019) — 28 citations
• Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach. (2012) — 312 citations