Erick J. Chastain

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Erick J. Chastain trusts overall

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

1. Sanjoy Dasgupta
2. Maria-Florina Balcan
3. Simon Tong
4. Greg Schohn
5. Alina Beygelzimer
6. Ronan Collobert
7. Shai Shalev-Shwartz
8. Antoine Bordes
9. Ivor Wai-Hung Tsang
10. Jason Aaron Edward Weston

Papers from Erick J. Chastain's perspective

Ordered by how strongly the researchers Erick J. Chastain trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Active Learning as Non-Convex Optimization (2009) — 20 citations