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cs.HC2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
Jun Yuan, Mengchen Liu, Fengyuan Tian +1
Recent advances in artificial intelligence largely benefit from better neural network architectures. These architectures are a product of a costly process of trial-and-error. To ea…
cs.HC2022★ 17 cited
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
Jun Yuan, Jesse Vig, Nazneen Rajani
Error analysis in NLP models is essential to successful model development and deployment. One common approach for diagnosing errors is to identify subpopulations in the dataset whe…
cs.HC2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
Jun Yuan, Brian Barr, Kyle Overton +1
One of the potential solutions for model interpretation is to train a surrogate model: a more transparent model that approximates the behavior of the model to be explained. Typical…