Instructional Material
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data.
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