Constantin A. Rothkopf

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #13,147 of 35,345 by trust here, #12,387 by citations
• Cognitive Neuroscience — 32 citations into it; #6,489 of 10,852 by trust here, #5,677 by citations
• Reinforcement Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #20,999 of 21,575 by trust here, #15,955 by citations
• Cognitive Science & Psychology — 10 citations into it
• Social Psychology — 7 citations into it
• Molecular Biology — 6 citations into it
• Neuroscience — 6 citations into it

Whom Constantin A. Rothkopf trusts overall

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

1. Wolfram Schultz
2. Laurent Itti
3. Christof Koch
4. Peter S. Dayan
5. Anne Treisman
6. Richard S. Sutton
7. Andrew Barto
8. J. Gottfried
9. Geoffrey E. Hinton
10. Stuart J. Russell

Who trusts Constantin A. Rothkopf overall

1. Jacqueline Gottlieb
2. Kun Li
3. Joel W. Burdick
4. Ruohan Zhang
5. Christelle Langley
6. Karol Hausman
7. Patrick Schramowski
8. Sudeep Dasari

Papers from Constantin A. Rothkopf's perspective

Ordered by how strongly the researchers Constantin A. Rothkopf 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Reinforcement Learning: An Introduction
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Task and context determine where you look. (2016) — 424 citations
• Bayesian Multitask Inverse Reinforcement Learning (2011) — 114 citations
• Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices (2019) — 77 citations
• Large pre-trained language models contain human-like biases of what is right and wrong to do (2021) — 398 citations
• Credit Assignment in Multiple Goal Embodied Visuomotor Behavior (2010) — 39 citations