Tobias Gindele

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Reinforcement Learning — 10 citations into it

Whom Tobias Gindele trusts overall

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

1. Brian D. Ziebart
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Pieter Abbeel
5. Andrew Y. Ng
6. Ilya Sutskever
7. Richard S. Sutton
8. Yoshua Bengio
9. Kaiming He
10. Yann LeCun

Papers from Tobias Gindele's perspective

Ordered by how strongly the researchers Tobias Gindele 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks (2019) — 132 citations
• Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics (2016) — 79 citations