Thuc D. Vu

Management Science and Operations Research · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 10 citations into it; #8,962 of 11,946 by trust here, #10,392 by citations
• Artificial Intelligence — 8 citations into it; #27,264 of 35,345 by trust here, #32,362 by citations
• Reinforcement Learning — 8 citations into it

Whom Thuc D. Vu trusts overall

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

1. Michael H. Bowling
2. Christopher J. C. H. Watkins
3. Caroline Claus
4. Rob Powers
5. Satinder Singh
6. Thomas Hofmann
7. Peter S. Dayan
8. Badrul Munir Sarwar
9. Craig Boutilier
10. Radford M. Neal

Who trusts Thuc D. Vu overall

1. Erik Zawadzki
2. Ana Lúcia Cetertich Bazzan
3. Asher Lipson
4. Mohammad Rostami
5. Kevin Leyton-Brown

Papers from Thuc D. Vu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Reinforcement Learning: An Introduction
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Et al
10. Online Convex Programming and Generalized Infinitesimal Gradient Ascent

Their papers

• Learning against multiple opponents (2006) — 21 citations
• Addressing cold-start problem in recommendation systems (2008) — 489 citations