Rasmus Berg Palm

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 182 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it; #19,877 of 21,575 by trust here, #14,822 by citations
• Model Architectures — 19 citations into it; #2,027 of 2,278 by trust here, #1,826 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Natural Language Processing — 11 citations into it
• Cognitive Neuroscience — 10 citations into it
• Neuroscience — 9 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Rasmus Berg Palm trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Alex Krizhevsky
6. Sepp Hochreiter
7. Diederik P. Kingma
8. J. Urgen Schmidhuber
9. Ilya Sutskever
10. Alex Graves

Who trusts Rasmus Berg Palm overall

1. Earnest Paul Ijjina
2. Xueheng Qiu
3. Andrea Vedaldi
4. Youngwook Kim
5. C. Mohan
6. Yousef Rezaei Tabar
7. Abhijit Sharang
8. Andrew S. Davis
9. Syed Shakib Sarwar
10. W. Sun

Papers from Rasmus Berg Palm's perspective

Ordered by how strongly the researchers Rasmus Berg Palm 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recurrent Relational Networks (2017) — 168 citations
• Recurrent Relational Networks for Complex Relational Reasoning (2018) — 31 citations
• Prediction as a candidate for learning deep hierarchical models of data (2012) — 444 citations