Jin Young Kim

Information Systems · with Li · 2015

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

• Information Systems — 13 citations into it
• Management Science and Operations Research — 12 citations into it
• Artificial Intelligence — 11 citations into it

Whom Jin Young Kim trusts overall

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

1. Olivier Chapelle
2. Lihong Li
3. Andreas Maurer
4. Diane Lambert
5. Ricardo A. Baeza-Yates
6. J. Langford
7. Ron Kohavi
8. Liang Tang
9. L. Eon Bottou
10. Thorsten Joachims

Papers from Jin Young Kim's perspective

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

1. Cumulated gain-based evaluation of IR techniques
2. ImageNet classification with deep convolutional neural networks
3. Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
4. Gradient-based learning applied to document recognition
5. A dynamic bayesian network click model for web search ranking
6. Reinforcement Learning: An Introduction
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. A user browsing model to predict search engine click data from past observations.
9. Exploration scavenging
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Toward Predicting the Outcome of an A/B Experiment for Search Relevance (2015) — 42 citations