12 citations · 21 across the 5 of their papers we have counts for
9 papers · 1 filter
Estimating label quality and errors in semantic segmentation data via any model
Vedang Lad, Jonas Mueller
The labor-intensive annotation process of semantic segmentation datasets is often prone to errors, since humans struggle to label every pixel correctly. We study algorithms to auto…
Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors
Jesse Cummings, Elías Snorrason, Jonas Mueller
We present a straightforward statistical test to detect certain violations of the assumption that the data are Independent and Identically Distributed (IID). The specific form of v…
Identifying Incorrect Annotations in Multi-Label Classification Data
Aditya Thyagarajan, Elías Snorrason, Curtis Northcutt +1
In multi-label classification, each example in a dataset may be annotated as belonging to one or more classes (or none of the classes). Example applications include image (or docum…
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Xingjian Shi, Jonas Mueller, Nick Erickson +2
We consider the use of automated supervised learning systems for data tables that not only contain numeric/categorical columns, but one or more text fields as well. Here we assembl…
TraDE: Transformers for Density Estimation
Rasool Fakoor, Pratik Chaudhari, Jonas Mueller +1
We present TraDE, a self-attention-based architecture for auto-regressive density estimation with continuous and discrete valued data. Our model is trained using a penalized maximu…
Recognizing Variables from their Data via Deep Embeddings of Distributions
Jonas Mueller, Alex Smola
A key obstacle in automated analytics and meta-learning is the inability to recognize when different datasets contain measurements of the same variable. Because provided attribute…