Blake Anderson
Artificial Intelligence · 2011–2017
A researcher in the Science corpus: 2 papers; trusts 13 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 — 16 citations into it
- Statistical Learning Theory — 7 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Blake Anderson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric R. Ziegel
- Battista Biggio
- Geoffrey E. Hinton
- Rong-En Fan
- J. Kolter
- Yuh-Jye Lee
- Blaine Nelson
- Eric Rescorla
- M. Shafiq
- Alex Krizhevsky
Who trusts Blake Anderson overall
- Ömer Aslan
- Konrad Rieck
- Daniele Ucci
- Ekta Gandotra
- Yanfang Ye
- Refik Samet
- Qi Wang
- Leonardo Aniello
- Patrick Stewin
- Divya Bansal
Papers from Blake Anderson's perspective
Ordered by how strongly the researchers Blake Anderson 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity (2017) — 301 citations
- Graph-based malware detection using dynamic analysis (2011) — 311 citations