Devon Hjelm

Generative Models · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it

Whom Devon Hjelm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Diederik P. Kingma
5. Yoshua Bengio
6. Danilo Jimenez Rezende
7. Max Welling
8. Andriy Mnih
9. Alex Krizhevsky
10. Karol Gregor

Papers from Devon Hjelm's perspective

Ordered by how strongly the researchers Devon Hjelm trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction (2018) — 129 citations
• Iterative Refinement of Approximate Posterior for Training Directed Belief Networks (2015)