Kacper Kielak
Reinforcement Learning · 2019
A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 20 citations into it; #798 of 2,242 by trust here, #2,063 by citations
- Artificial Intelligence — 12 citations into it
Whom Kacper Kielak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- John Schulman
- Junhyuk Oh
- Phillip Isola
- G. Holland
- Geoffrey E. Hinton
- Marc G. Bellemare
- Pablo Samuel Castro
- J. Urgen Schmidhuber
- Diederik P. Kingma
Who trusts Kacper Kielak overall
- A. Srinivas
- Rishabh Agarwal
- Weirui Ye
- Max Schwarzer
- Pieter Abbeel
- Michael Laskin
- Shao-Wei Liu
- Che Wang
- Aaron C. Courville
- Thanard Kurutach
Papers from Kacper Kielak's perspective
Ordered by how strongly the researchers Kacper Kielak trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)