20 citations · 62 across the 19 of their papers we have counts for
5 papers · 1 filter
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper, Max Nadeau, Dylan Hadfield-Menell +1
The literature on adversarial attacks in computer vision typically focuses on pixel-level perturbations. These tend to be very difficult to interpret. Recent work that manipulates…
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu +2
Visual search is a ubiquitous and often challenging daily task, exemplified by looking for the car keys at home or a friend in a crowd. An intriguing property of some classical sea…
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
Philipp Bomatter, Mengmi Zhang, Dimitar Karev +3
Context is of fundamental importance to both human and machine vision; e.g., an object in the air is more likely to be an airplane than a pig. The rich notion of context incorporat…
Tuned Compositional Feature Replays for Efficient Stream Learning
Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri +2
Our brains extract durable, generalizable knowledge from transient experiences of the world. Artificial neural networks come nowhere close to this ability. When tasked with learnin…
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
Mengmi Zhang, Marcelo Armendariz, Will Xiao +5
Primates constantly explore their surroundings via saccadic eye movements that bring different parts of an image into high resolution. In addition to exploring new regions in the v…