Karl S. Muller

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #21,114 of 21,575 by trust here, #16,787 by citations
• Reinforcement Learning — 14 citations into it

Whom Karl S. Muller trusts overall

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

1. Gunnar Farnebäck
2. Laurent Itti
3. Marc G. Bellemare

Who trusts Karl S. Muller overall

1. Ruohan Zhang

Papers from Karl S. Muller's perspective

Ordered by how strongly the researchers Karl S. Muller trusts endorse each paper. Same corpus, a different order for every researcher.

1. Human-level control through deep reinforcement learning
2. The Arcade Learning Environment: An Evaluation Platform for General Agents
3. End-to-End Training of Deep Visuomotor Policies
4. DRAW: A Recurrent Neural Network For Image Generation
5. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
6. Mastering the game of Go without human knowledge
7. Recurrent Models of Visual Attention
8. Dueling Network Architectures for Deep Reinforcement Learning
9. Deep Reinforcement Learning that Matters
10. Rainbow: Combining Improvements in Deep Reinforcement Learning

Their papers

• AGIL: Learning Attention from Human for Visuomotor Tasks (2018) — 85 citations
• Visual Attention Guided Deep Imitation Learning (2017)