Improved statistical benchmarking of digital pathology models using pairwise frames evaluation

no code implementations • 7 Jun 2023 • Ylaine Gerardin, John Shamshoian, Judy Shen, Nhat Le, Jamie Prezioso, John Abel, Isaac Finberg, Daniel Borders, Raymond Biju, Michael Nercessian, Vaed Prasad, Joseph Lee, Spencer Wyman, Sid Gupta, Abigail Emerson, Bahar Rahsepar, Darpan Sanghavi, Ryan Leung, Limin Yu, Archit Khosla, Amaro Taylor-Weiner

Nested pairwise frames is a method for relative benchmarking of cell or tissue digital pathology models against manual pathologist annotations on a set of sampled patches.

Benchmarking Classification

Cooperation and Cognition in Social Networks

no code implementations • 2 May 2023 • Edoardo Gallo, Joseph Lee, Yohanes Eko Riyanto, Erwin Wong

Social networks can sustain cooperation by amplifying the consequences of a single defection through a cascade of relationship losses.

Neural Text Style Transfer via Denoising and Reranking

no code implementations • WS 2019 • Joseph Lee, Ziang Xie, Cindy Wang, Max Drach, Dan Jurafsky, Andrew Ng

We introduce a simple method for text style transfer that frames style transfer as denoising: we synthesize a noisy corpus and treat the source style as a noisy version of the target style.

Denoising Style Transfer +1