Val Tannen

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Networks and Communications — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Information Systems and Management — 6 citations into it
• Optimization & Training — 6 citations into it
• ML Systems & Hardware — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Val Tannen trusts overall

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

1. Sanjay Krishnan
2. R. Dennis Cook
3. Finale Doshi-Velez
4. Pang Wei Koh
5. Eugene Wu
6. Peter Buneman
7. Hamed Karimi
8. Mark W. Schmidt
9. Been Kim

Papers from Val Tannen's perspective

Ordered by how strongly the researchers Val Tannen 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. Gradient-based learning applied to document recognition
5. Automatic differentiation in PyTorch
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The iPlant Collaborative: Cyberinfrastructure for Plant Biology (2011) — 475 citations
• PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models (2020) — 44 citations