Chris Waterson

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #31,199 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it; #2,829 of 3,145 by trust here, #3,047 by citations

Whom Chris Waterson trusts overall

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

1. Tomas Mikolov

Who trusts Chris Waterson overall

1. David M. Mimno
2. Maria Antoniak

Papers from Chris Waterson's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. GloVe: Global Vectors for Word Representation
3. Efficient Estimation of Word Representations in Vector Space
4. Large Scale Distributed Deep Networks
5. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
6. Linguistic Regularities in Continuous Space Word Representations
7. ImageNet classification with deep convolutional neural networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Swivel: Improving Embeddings by Noticing What's Missing (2016) — 81 citations