Marcin Detyniecki
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #20,657 of 35,345 by trust here, #14,181 by citations
- Safety, Robustness & Interpretability — 29 citations into it; #2,010 of 2,251 by trust here, #1,819 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Marcin Detyniecki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Marcin Detyniecki overall
Papers from Marcin Detyniecki's perspective
Ordered by how strongly the researchers Marcin Detyniecki trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Intriguing properties of neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations (2019) — 231 citations
- Comparison-Based Inverse Classification for Interpretability in Machine Learning (2018) — 133 citations
- Defining Locality for Surrogates in Post-hoc Interpretablity (2018) — 101 citations
- Inverse Classification for Comparison-based Interpretability in Machine Learning (2017) — 121 citations