Phillip Lippe

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Phillip Lippe trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Douwe Kiela
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jacob Devlin
8. Jiasen Lu
9. Ilya Sutskever
10. Tsung-Yi Lin

Papers from Phillip Lippe's perspective

Ordered by how strongly the researchers Phillip Lippe 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Microsoft COCO: Common Objects in Context

Their papers

• A Multimodal Framework for the Detection of Hateful Memes (2020) — 103 citations