Brahim Chaib-draa

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 6 papers; trusts 305 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #11,588 of 35,345 by trust here, #9,275 by citations
• Reinforcement Learning — 32 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Management Science and Operations Research — 11 citations into it; #8,379 of 11,946 by trust here, #2,728 by citations
• Meta & Continual Learning — 11 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Computer Networks and Communications — 5 citations into it; #4,050 of 9,886 by trust here, #4,128 by citations

Whom Brahim Chaib-draa trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Ross B. Girshick
9. Andrew Barto
10. Ilya Sutskever

Who trusts Brahim Chaib-draa overall

1. Frans Adriaan Oliehoek
2. R´emi Munos
3. Chris Amato
4. S. Cavaco
5. Sampo Kuutti
6. Hyunmin Chae
7. Fabrice Galia
8. Chao Yu

Papers from Brahim Chaib-draa's perspective

Ordered by how strongly the researchers Brahim Chaib-draa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Online Planning Algorithms for POMDPs (2008) — 607 citations
• A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes (2011) — 155 citations
• Multi-item auctions for automatic negotiation (2002) — 558 citations
• Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal (2022) — 7 citations
• Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach (2011) — 330 citations
• Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs (2009) — 46 citations