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Found 3 papers, 2 papers with code
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
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 world.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
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CompoSuite: A Compositional Reinforcement Learning Benchmark
We present CompoSuite, an open-source simulated robotic manipulation benchmark for compositional multi-task reinforcement learning (RL).
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
Inspired by natural learners, we introduce a Sparse High-level-Exclusive, Low-level-Shared feature representation (SHELS) that simultaneously encourages learning exclusive sets of high-level features and essential, shared low-level features.
