Basil Hosmer

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #25,596 of 35,345 by trust here, #25,040 by citations
• Program Analysis & Verification — 7 citations into it; #177 of 301 by trust here, #196 by citations
• Information Systems — 6 citations into it; #5,798 of 8,771 by trust here, #5,713 by citations

Whom Basil Hosmer trusts overall

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

1. Jeremy G. Siek
2. Cormac Flanagan
3. Sam Tobin-Hochstadt

Who trusts Basil Hosmer overall

1. Erik Krogh Kristensen

Papers from Basil Hosmer's perspective

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

1. Gradient-based learning applied to document recognition
2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
3. Gradual Typing for Functional Languages
4. Automatic differentiation in PyTorch
5. The Design and Implementation of Typed Scheme: From Scripts to Programs
6. ADADELTA: An Adaptive Learning Rate Method
7. Gradient-based Hyperparameter Optimization through Reversible Learning
8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
9. Hybrid type checking (ACM-SIGACT Symposium on Principles of Programming Languages)
10. Soft typing

Their papers

• Gradient Descent: The Ultimate Optimizer (2019) — 69 citations
• The ins and outs of gradual type inference (2012) — 83 citations