Salem Lahlou
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it
- Reinforcement Learning — 61 citations into it; #1,868 of 2,242 by trust here, #965 by citations
- Computer Vision and Pattern Recognition — 50 citations into it
- Natural Language Processing — 41 citations into it; #4,750 of 5,688 by trust here, #2,364 by citations
- Model Architectures — 19 citations into it
- Optimization & Training — 12 citations into it
- Control and Systems Engineering — 8 citations into it
Whom Salem Lahlou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Sepp Hochreiter
- John Schulman
- Ilya Sutskever
- Sergey Ioffe
- Kyunghyun Cho
- J. Urgen Schmidhuber
Who trusts Salem Lahlou overall
Papers from Salem Lahlou's perspective
Ordered by how strongly the researchers Salem Lahlou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning (2018) — 335 citations
- Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks (2023) — 410 citations
- GFlowNet Foundations (2021) — 363 citations
- BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop (2018) — 188 citations