Evan Fabry
Safety, Robustness & Interpretability · 2017
A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Safety, Robustness & Interpretability — 55 citations into it; #1,717 of 2,251 by trust here, #1,089 by citations
- Artificial Intelligence — 48 citations into it; #24,067 of 35,345 by trust here, #11,192 by citations
- Computer Vision and Pattern Recognition — 36 citations into it; #16,568 of 21,575 by trust here, #10,010 by citations
- Signal Processing — 11 citations into it
- Hardware and Architecture — 5 citations into it
Whom Evan Fabry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Christian Szegedy
- Joseph Redmon
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
Who trusts Evan Fabry overall
Papers from Evan Fabry's perspective
Ordered by how strongly the researchers Evan Fabry 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles (2017) — 293 citations
- Standard detectors aren't (currently) fooled by physical adversarial stop signs (2017) — 60 citations
- Adversarial Examples that Fool Detectors (2017) — 159 citations