Piotr Dabkowski
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it; #3,859 of 21,575 by trust here, #6,371 by citations
- Artificial Intelligence — 10 citations into it
- Safety, Robustness & Interpretability — 6 citations into it; #264 of 2,251 by trust here, #782 by citations
Whom Piotr Dabkowski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christian Szegedy
- Geoffrey E. Hinton
- Matthew D. Zeiler
- Ilya Sutskever
- Rob Fergus
- Ruth C. Fong
- Yoshua Bengio
- Andrea Vedaldi
- Kaiming He
Who trusts Piotr Dabkowski overall
- Mengnan Du
- Lucy R. Chai
- Julius Adebayo
- Hila Chefer
- Giulia Vilone
- Patrick Schwab
- Been Kim
- Sara Hooker
- Pieter-Jan Kindermans
- Ian Covert
Papers from Piotr Dabkowski's perspective
Ordered by how strongly the researchers Piotr Dabkowski trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Real Time Image Saliency for Black Box Classifiers (2017) — 638 citations