414 citations · 1.1k across the 47 of their papers we have counts for
6 papers · 1 filter
Recognition in Terra Incognita
Sara Beery, Grant van Horn, Pietro Perona
It is desirable for detection and classification algorithms to generalize to unfamiliar environments, but suitable benchmarks for quantitatively studying this phenomenon are not ye…
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha +5
How can we help a forgetful learner learn multiple concepts within a limited time frame? While there have been extensive studies in designing optimal schedules for teaching a singl…
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng +1
We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data. Despite showing considerable success for 2D pose estimation, the…
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
We present and evaluate the Fast (conditional) Independence Test (FIT) -- a nonparametric conditional independence test. The test is based on the idea that when $P(X \mid Y, Z) = P…
Teaching Categories to Human Learners with Visual Explanations
Oisin Mac Aodha, Shihan Su, Yuxin Chen +2
We study the problem of computer-assisted teaching with explanations. Conventional approaches for machine teaching typically only provide feedback at the instance level e.g., the c…
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
Yuxin Chen, Adish Singla, Oisin Mac Aodha +2
In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner's current state. However, most existing work in algo…