Djallel Bouneffouf

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 6 papers; trusts 103 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #21,634 of 35,345 by trust here, #16,471 by citations
• Reinforcement Learning — 33 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Management Science and Operations Research — 16 citations into it; #6,729 of 11,946 by trust here, #6,888 by citations
• Cognitive Neuroscience — 11 citations into it
• Generative Models — 11 citations into it
• Meta & Continual Learning — 10 citations into it

Whom Djallel Bouneffouf trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yann LeCun
6. Shie Mannor
7. Alex Graves
8. J. Langford
9. Petros Drineas
10. Richard S. Sutton

Who trusts Djallel Bouneffouf overall

1. Matthew Riemer
2. Chunqiu Zeng
3. Tim Klinger
4. Michele M. Franceschini
5. Guanjie Zheng
6. Peter Eckersley
7. Blake Camp
8. Jaya Krishna Mandivarapu
9. Qing Wang
10. Qingyun Wu

Papers from Djallel Bouneffouf's perspective

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

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

Their papers

• Scalable Recollections for Continual Lifelong Learning (2017) — 76 citations
• A Neural Networks Committee for the Contextual Bandit Problem (2014) — 93 citations
• Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration (2018) — 25 citations
• A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System (2012) — 150 citations
• Generative Knowledge Distillation for General Purpose Function Compression (2017)
• Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering (2015) — 21 citations