Daniel Suo

Artificial Intelligence · with Agarwal · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Daniel Suo trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan

Who trusts Daniel Suo overall

1. Andy Zeng

Papers from Daniel Suo's perspective

Ordered by how strongly the researchers Daniel Suo 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. ImageNet Large Scale Visual Recognition Challenge
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Long Short-Term Memory

Their papers

• Adaptive Gradient Methods at the Edge of Stability (2022) — 86 citations
• Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge (2016) — 481 citations