4 citations · 8 across the 3 of their papers we have counts for
3 papers
STAT: Shrinking Transformers After Training
Megan Flynn, Alexander Wang, Dean Edward Alvarez +2
We present STAT: a simple algorithm to prune transformer models without any fine-tuning. STAT eliminates both attention heads and neurons from the network, while preserving accurac…
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang, Mengye Ren, Richard S. Zemel
Sketch drawings capture the salient information of visual concepts. Previous work has shown that neural networks are capable of producing sketches of natural objects drawn from a s…
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance
Vinay Uday Prabhu, Dian Ang Yap, Alexander Wang +1
Attribute prior avoidance entails subconscious or willful non-modeling of (meta)attributes that datasets are oft born with, such as the 40 semantic facial attributes associated wit…