173 citations · 204 across the 10 of their papers we have counts for
4 papers · 1 filter
Thinking Like an Annotator: Generation of Dataset Labeling Instructions
Nadine Chang, Francesco Ferroni, Michael J. Tarr +2
Large-scale datasets are essential to modern day deep learning. Advocates argue that understanding these methods requires dataset transparency (e.g. "dataset curation, motivation,…
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe +1
A long standing goal in neuroscience has been to elucidate the functional organization of the brain. Within higher visual cortex, functional accounts have remained relatively coars…
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley +4
We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors. TIDEE explores a home environment…
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
Nadine Chang, Jayanth Koushik, Aarti Singh +3
Methods in long-tail learning focus on improving performance for data-poor (rare) classes; however, performance for such classes remains much lower than performance for more data-r…