48 citations · 58 across the 6 of their papers we have counts for
3 papers · 1 filter
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott, Ting Liu, Michael C. Mozer +1
Recent research in clustering face embeddings has found that unsupervised, shallow, heuristic-based methods -- including -means and hierarchical agglomerative clustering -- unde…
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino +2
Real world learning scenarios involve a nonstationary distribution of classes with sequential dependencies among the samples, in contrast to the standard machine learning formulati…
Unifying Few- and Zero-Shot Egocentric Action Recognition
Tyler R. Scott, Michael Shvartsman, Karl Ridgeway
Although there has been significant research in egocentric action recognition, most methods and tasks, including EPIC-KITCHENS, suppose a fixed set of action classes. Fixed-set cla…