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Found 4 papers, 1 papers with code
Objective Evaluation of Deep Visual Interpretations on Time Series Data
(Explanatory) visual interpretation approaches for image and natural language processing allow domain experts to validate and understand almost any deep learning model.
IALE: Imitating Active Learner Ensembles
Active learning (AL) prioritizes the labeling of the most informative data samples.
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks.
Overcoming Catastrophic Forgetting via Hessian-free Curvature Estimates
Learning neural networks with gradient descent over a long sequence of tasks is problematic as their fine-tuning to new tasks overwrites the network weights that are important for previous tasks.
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