Carlos A. Zednik

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #18,280 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 10 citations into it
• Cognitive Neuroscience — 9 citations into it; #8,426 of 10,852 by trust here, #10,534 by citations
• History and Philosophy of Science — 6 citations into it; #459 of 602 by trust here, #523 by citations
• Social Psychology — 6 citations into it

Whom Carlos A. Zednik trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Carl F. Craver
2. Zachary Chase Lipton
3. William Bechtel
4. Daniel C. Dennett
5. B. Kendall
6. Anthony Chemero
7. Jeffrey L. Elman
8. Grgoire Montavon
9. Marco Tulio Ribeiro
10. E. Thelen

Who trusts Carlos A. Zednik overall

1. Atoosa Kasirzadeh
2. Warren J. von Eschenbach
3. Daniel A. Wilkenfeld

Papers from Carlos A. Zednik's perspective

Ordered by how strongly the researchers Carlos A. Zednik trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence (2019) — 345 citations
• The Nature of Dynamical Explanation* (2011) — 103 citations