Toni Pacheco
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #27,578 of 35,345 by trust here, #32,362 by citations
- Safety, Robustness & Interpretability — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Optimization & Training — 6 citations into it
- Efficiency & Compression — 5 citations into it
Whom Toni Pacheco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Jonathan Frankle
- Kristin P. Bennett
- Geoffrey E. Hinton
- Lior Rokach
- R. Caruana
- Leo Breiman
- Trevor J. Hastie
- Michael Carbin
- Sicco Verwer
Who trusts Toni Pacheco overall
Papers from Toni Pacheco's perspective
Ordered by how strongly the researchers Toni Pacheco 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
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
Their papers
- Born-Again Tree Ensembles (2020) — 65 citations