Melrose Roderick

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 15 citations into it

Whom Melrose Roderick trusts overall

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

1. Marc G. Bellemare
2. Richard S. Sutton
3. Thomas G. Dietterich
4. Ronen I. Brafman
5. Georg Ostrovski
6. Hado van Hasselt
7. Doina Precup
8. Carlos Diuk
9. Pierre-Luc Bacon
10. Geoffrey E. Hinton

Who trusts Melrose Roderick overall

1. Ramtin Keramati
2. Jay Whang

Papers from Melrose Roderick's perspective

Ordered by how strongly the researchers Melrose Roderick 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
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

• Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards (2016) — 391 citations
• Deep Abstract Q-Networks (2017) — 35 citations