Luckeciano Carvalho Melo

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Reinforcement Learning — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 12 citations into it
• Model Architectures — 8 citations into it
• Meta & Continual Learning — 7 citations into it
• Cognitive Neuroscience — 6 citations into it

Whom Luckeciano Carvalho Melo trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. John Schulman
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Chelsea Finn
7. Pieter Abbeel
8. Xavier Glorot
9. Sergey Levine
10. Kaiming He

Who trusts Luckeciano Carvalho Melo overall

1. Khimya Khetarpal
2. Jakob Bauer

Papers from Luckeciano Carvalho Melo's perspective

Ordered by how strongly the researchers Luckeciano Carvalho Melo 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Transformers are Meta-Reinforcement Learners (2022) — 70 citations