David Szepesvari
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #11,826 of 35,345 by trust here, #3,895 by citations
Whom David Szepesvari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts David Szepesvari overall
Papers from David Szepesvari's perspective
Ordered by how strongly the researchers David Szepesvari trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Attend, Infer, Repeat: Fast Scene Understanding with Generative Models (2016) — 584 citations
- Grounded Language Learning in a Simulated 3D World (2017) — 317 citations