Yori Zwols
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #6,781 of 35,345 by trust here, #1,526 by citations
- Reinforcement Learning — 50 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Management Science and Operations Research — 18 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Generative Models — 14 citations into it
- Optimization & Training — 12 citations into it
Whom Yori Zwols trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Sergey Levine
- Alex Graves
- Richard S. Sutton
- Danilo Jimenez Rezende
- Yann LeCun
- Alex Krizhevsky
- Jimmy Ba
Who trusts Yori Zwols overall
- Rahaf Aljundi
- Zixuan Ke
- Timothée Lesort
- Marc Masana
- Arslan Chaudhry
- Bing Liu
- Matthew Riemer
- Arun Mallya
- Tyler L. Hayes
- Mohamed Elhoseiny
Papers from Yori Zwols's perspective
Ordered by how strongly the researchers Yori Zwols 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Hybrid computing using a neural network with dynamic external memory (2016) — 1,765 citations
- PathNet: Evolution Channels Gradient Descent in Super Neural Networks (2017) — 965 citations
- Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search (2018) — 167 citations
- Generative Temporal Models with Spatial Memory for Partially Observed Environments (2018) — 29 citations
- Solving Mixed Integer Programs Using Neural Networks (2020) — 322 citations
- Linear and integer optimization: Theory and practice (2015) — 51 citations