America Chambers

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,848 of 35,345 by trust here, #30,347 by citations
• Information Systems — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom America Chambers trusts overall

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

1. David M. Blei
2. Grigorios Tsoumakas
3. T. Griffiths
4. Fabrizio Sebastiani
5. George Forman
6. Michael I. Jordan
7. David Mimno
8. Naonori Ueda
9. Liangliang Cao
10. Yiming Yang

Who trusts America Chambers overall

1. Ayan Acharya
2. Min-Ling Zhang

Papers from America Chambers's perspective

Ordered by how strongly the researchers America Chambers 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Statistical topic models for multi-label document classification (2011) — 354 citations