Nate Soares
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #11,396 of 35,345 by trust here, #18,186 by citations
- Philosophy — 17 citations into it; #887 of 1,040 by trust here, #599 by citations
- Probabilistic & Bayesian Methods — 17 citations into it
- Computational Theory and Mathematics — 16 citations into it; #10,272 of 12,182 by trust here, #6,798 by citations
- Safety, Robustness & Interpretability — 13 citations into it; #1,921 of 2,251 by trust here, #1,819 by citations
- Management Science and Operations Research — 10 citations into it; #6,929 of 11,946 by trust here, #7,638 by citations
- Alignment & RLHF — 9 citations into it; #45 of 62 by trust here, #46 by citations
- Economics and Econometrics — 9 citations into it
Whom Nate Soares trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ray J. Solomonoff
- S. Omohundro
- Christian P. Robert
- Eliezer Yudkowsky
- Jon Bird
- Joseph Y. Halpern
- Benja Fallenstein
- Shane Legg
- Paul J. Layzell
- Nick Bostrom
Who trusts Nate Soares overall
- Tom Everitt
- Jessica Taylor
- Andrew Critch
- Stuart J. Russell
- Tsvi Benson-Tilsen
- Abram Demski
- Marcus Hutter
- Jan Leike
- Scott Garrabrant
- Dylan Hadfield-Menell
Papers from Nate Soares's perspective
Ordered by how strongly the researchers Nate Soares 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Algorithms for Inverse Reinforcement Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Logical Induction (2016) — 40 citations
- The Value Learning Problem (2018) — 86 citations
- Agent Foundations for Aligning Machine Intelligence with Human Interests: A Technical Research Agenda (2017) — 71 citations
- Toward Idealized Decision Theory (2015) — 37 citations
- Asymptotic Convergence in Online Learning with Unbounded Delays (2016) — 10 citations
- Functional Decision Theory: A New Theory of Instrumental Rationality (2017) — 51 citations
- Uniform Coherence (2016)
- Formalizing Convergent Instrumental Goals (2016) — 36 citations
- Questions of Reasoning Under Logical Uncertainty (2015)
- Formalizing Two Problems of Realistic World-Models (2015) — 19 citations
- Corrigibility (2015) — 177 citations
- Aligning Superintelligence with Human Interests: A Technical Research Agenda (2015)