Damian Straszak
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #31,596 of 35,345 by trust here, #29,412 by citations
- Safety, Robustness & Interpretability — 13 citations into it
- Safety Research — 8 citations into it
- Signal Processing — 6 citations into it
- Management Science and Operations Research — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Damian Straszak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Zuckerman
- Cynthia Dwork
- David G. Lowe
- Filip Radlinski
- Ravi Kumar
- Ronald Fagin
- Joel A. Tropp
- Bianca Zadrozny
- Richard S. Zemel
- Ke Yang
Who trusts Damian Straszak overall
- L. Elisa Celis
- Lingxiao Huang
- Sahin Cem Geyik
- Nisheeth K. Vishnoi
- Manish Raghavan
- Harikrishna Narasimhan
- Pranjal Awasthi
- Yifan Wang
- Meike Zehlike
- Dana Pessach
Papers from Damian Straszak's perspective
Ordered by how strongly the researchers Damian Straszak 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- Object recognition from local scale-invariant features
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Ranking with Fairness Constraints (2017) — 359 citations
- Fair and Diverse DPP-based Data Summarization (2018) — 135 citations