Kris Sankaran

Artificial Intelligence · with Bengio · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it

Whom Kris Sankaran trusts overall

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

1. Kaiming He
2. Diederik P. Kingma

Papers from Kris Sankaran's perspective

Ordered by how strongly the researchers Kris Sankaran 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks (2019) — 43 citations
• FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters (2021) — 147 citations
• Tackling Climate Change with Machine Learning (2019) — 1,184 citations