Instructional Material
Responsible AI (RAI) Games and Ensembles
In this work, we provide a general framework for studying these problems, which we refer to as Responsible AI (RAI) games .
An Information Theoretic Perspective on Conformal Prediction
More precisely, we prove three different ways to upper bound the intrinsic uncertainty, as described by the conditional entropy of the target variable given the inputs, by combining CP with information theoretical inequalities.
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
Instructional "how-to" videos online allow users to master new skills and everyday DIY tasks, from
Selective Sampling and Imitation Learning via Online Regression
We consider the problem of Imitation Learning (IL) by actively querying noisy expert for feedback.
Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen 1 Long-Kai Huang 2 Jonathan Richard Schwarz
In real-world applications, though, out-of-distribution tasks are highly prevalent, e.g., bin
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback Marcel T orne 1,2 Max Balsells 3 Zihan Wang
This procedure can leverage noisy, asynchronous human feedback to learn policies with no hand-crafted reward design or exploration bonuses.