Benjamin Clement

Artificial Intelligence · 2013

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 — 16 citations into it; #31,020 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 8 citations into it
• Management Science and Operations Research — 6 citations into it; #10,430 of 11,946 by trust here, #8,906 by citations

Whom Benjamin Clement trusts overall

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

1. Manuel Lopes
2. Pierre-Yves Oudeyer
3. Ryan Shaun Joazeiro de Baker
4. Hao Cen
5. Albert T. Corbett
6. J. Urgen Schmidhuber
7. Frederic Kaplan
8. Martin Krzywinski
9. K. Koedinger
10. Burr Settles

Who trusts Benjamin Clement overall

1. Yaqian Zhang
2. Alex Graves
3. Wooi-Boon Goh
4. Marc G. Bellemare

Papers from Benjamin Clement's perspective

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

1. Reinforcement Learning: An Introduction
2. Active Learning Literature Survey
3. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
4. ImageNet classification with deep convolutional neural networks
5. A contextual-bandit approach to personalized news article recommendation
6. Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement (International Conference on Intelligent Tutoring Systems)

Their papers

• Multi-Armed Bandits for Intelligent Tutoring Systems (2013) — 154 citations