Daniel Lassiter

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #19,692 of 35,345 by trust here, #27,551 by citations
• Philosophy — 27 citations into it; #415 of 1,040 by trust here, #599 by citations
• Language and Linguistics — 24 citations into it; #2,303 of 3,093 by trust here, #2,338 by citations
• Experimental and Cognitive Psychology — 23 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Developmental and Educational Psychology — 9 citations into it
• History and Philosophy of Science — 6 citations into it

Whom Daniel Lassiter trusts overall

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

1. Christopher Kennedy
2. Seth Yalcin
3. Noah D. Goodman
4. Kai von Fintel
5. Sarah Moss
6. Craige Roberts
7. Judea Pearl
8. Joseph Y. Halpern
9. Angelika Kratzer
10. Louise McNally

Who trusts Daniel Lassiter overall

1. Cleo Condoravdi
2. Anastasia Giannakidou
3. Sven Lauer
4. Stephanie Solt
5. Alda Mari
6. Pranav Anand
7. Seth Yalcin
8. Noah D. Goodman

Papers from Daniel Lassiter's perspective

Ordered by how strongly the researchers Daniel Lassiter 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Must, knowledge, and (in)directness (2016) — 71 citations
• Context, scale structure, and statistics in the interpretation of positive-form adjectives (2013) — 123 citations
• Measurement and Modality: The Scalar Basis of Modal Semantics. (2011) — 200 citations
• Gradable epistemic modals, probability, and scale structure (2010) — 91 citations