Philip Versteeg
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #32,820 of 35,345 by trust here, #19,873 by citations
- Causal Inference & Discovery — 39 citations into it
- Statistics and Probability — 20 citations into it
- Representation & Self-Supervised Learning — 18 citations into it; #2,917 of 3,145 by trust here, #2,299 by citations
- Probabilistic & Bayesian Methods — 15 citations into it
- Information Systems — 5 citations into it
Whom Philip Versteeg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Judea Pearl
- Tom L. Burr
- Kun Zhang
- Bernhard Schölkopf
- Joris M. Mooij
- Elias Bareinboim
- Jiji Zhang
- Peter M. Bentler
- Antti Hyttinen
- Mingming Gong
Who trusts Philip Versteeg overall
Papers from Philip Versteeg's perspective
Ordered by how strongly the researchers Philip Versteeg trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- A Survey on Transfer Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Domain Adaptation under Target and Conditional Shift
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory