Samuel Lipping

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #28,555 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #17,611 of 21,575 by trust here, #12,992 by citations

Whom Samuel Lipping trusts overall

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

1. Diederik P. Kingma
2. Andrej Karpathy
3. Jimmy Ba
4. Frederic Font
5. Konstantinos Sechidis
6. Chris Dongjoo Kim
7. Tsung-Yi Lin
8. Li Fei-Fei
9. Geoffrey E. Hinton

Who trusts Samuel Lipping overall

1. Benjamin Elizalde
2. Yusong Wu
3. Andreea-Maria Oncescu
4. Haohe Liu
5. Soham Deshmukh

Papers from Samuel Lipping's perspective

Ordered by how strongly the researchers Samuel Lipping 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Clotho: an Audio Captioning Dataset (2019) — 604 citations