Marek Fiser
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 78 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it; #11,031 of 21,575 by trust here, #7,176 by citations
- Artificial Intelligence — 35 citations into it; #18,754 of 35,345 by trust here, #10,207 by citations
- Reinforcement Learning — 28 citations into it
- Aerospace Engineering — 15 citations into it; #2,776 of 6,421 by trust here, #1,224 by citations
- Robotics & Control — 12 citations into it
- Model Architectures — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Marek Fiser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Shaoqing Ren
- Richard S. Sutton
- Sergey Levine
- Sepp Hochreiter
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Marek Fiser overall
Papers from Marek Fiser's perspective
Ordered by how strongly the researchers Marek Fiser trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Visual Representations for Semantic Target Driven Navigation (2018) — 235 citations
- PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning (2017) — 332 citations
- Learning Navigation Behaviors End-to-End With AutoRL (2018) — 261 citations