Mike Phulsuksombati

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #30,391 of 35,345 by trust here, #20,377 by citations

Whom Mike Phulsuksombati trusts overall

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

1. Le Song
2. Samuel R. Bowman

Who trusts Mike Phulsuksombati overall

1. Rahul Gupta

Papers from Mike Phulsuksombati's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Neural Turing Machines
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Random Search for Hyper-Parameter Optimization
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Learning Program Embeddings to Propagate Feedback on Student Code (2015) — 201 citations