Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Placing a human in the loop may help abate the risks of deploying AI systems in safety-
critical settings (eg, a clinician working with a medical AI system). However, mitigating risks …

We study the problem of teaching multiple learners simultaneously in the nonparametric
iterative teaching setting, where the teacher iteratively provides examples to the learner for …

In this paper, we consider the problem of Iterative Machine Teaching (IMT), where the
teacher provides examples to the learner iteratively such that the learner can achieve fast …

Large-scale, high-quality data are considered an essential factor for the successful
application of many deep learning techniques. Meanwhile, numerous real-world deep …

Human feedback plays a critical role in learning and refining reward models for text-to-
image generation, but the optimal form the feedback should take for learning an accurate …

Humans have the remarkable ability to learn new categories from few examples, but how
few examples can we actually learn from? Recent studies suggest it may be possible to …

Image generation models are poised to become ubiquitous in a range of applications. These
models are often fine-tuned and evaluated using human quality judgments that assume a …