17 citations · 19 across the 3 of their papers we have counts for
3 papers
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper +1
Despite outstanding semantic scene segmentation in closed-worlds, deep neural networks segment novel instances poorly, which is required for autonomous agents acting in an open wor…
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing, Jorge A. Mendez, Anisha Singrodia +2
Offline reinforcement learning (RL) is a promising direction that allows RL agents to pre-train on large datasets, avoiding the recurrence of expensive data collection. To advance…
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker, Alexander New, Mario Aguilar-Simon +44
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks enc…