Maciek Chociej
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it; #20,727 of 35,345 by trust here, #3,091 by citations
- Reinforcement Learning — 85 citations into it; #2,125 of 2,242 by trust here, #300 by citations
- Control and Systems Engineering — 79 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Robotics & Control — 32 citations into it; #551 of 609 by trust here, #53 by citations
- Computational Theory and Mathematics — 17 citations into it
- Mechanical Engineering — 12 citations into it
Whom Maciek Chociej trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E. Todorov
- Sergey Levine
- Geoffrey E. Hinton
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Marcin Andrychowicz
- Kaiming He
- Pieter Abbeel
- John Schulman
- Yoshua Bengio
Who trusts Maciek Chociej overall
Papers from Maciek Chociej's perspective
Ordered by how strongly the researchers Maciek Chociej 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
- 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: A large-scale hierarchical image database
- Et al
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learning dexterous in-hand manipulation (2018) — 2,231 citations
- Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research (2018) — 642 citations
- ORRB - OpenAI Remote Rendering Backend (2019) — 13 citations