Glen Berseth

Artificial Intelligence · with Phielipp · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 13 citations into it

Whom Glen Berseth trusts overall

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

1. E. Todorov
2. Marco Gori
3. Tomas Mikolov
4. Franco Scarselli
5. Scott Fujimoto
6. Jacob Devlin

Papers from Glen Berseth's perspective

Ordered by how strongly the researchers Glen Berseth 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. MuJoCo: A physics engine for model-based control
9. ImageNet: A large-scale hierarchical image database
10. Efficient Estimation of Word Representations in Vector Space

Their papers

• AnyMorph: Learning Transferable Polices By Inferring Agent Morphology (2022) — 38 citations