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Found 3 papers, 3 papers with code
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Few-Shot Class Incremental Learning (FSCIL) is a challenging continual learning task, where limited training examples are available during several learning sessions.
class-incremental learning
Few-Shot Class-Incremental Learning
+2
Amortized Bayesian model comparison with evidential deep learning
This makes the method particularly effective in scenarios where model fit needs to be assessed for a large number of datasets, so that per-dataset inference is practically infeasible. Finally, we propose a novel way to measure epistemic uncertainty in model comparison problems.
A state space approach to dynamic modeling of mouse-tracking data
Mouse-tracking recording techniques are becoming very attractive in experimental psychology.
Applications Computation 62M10, 60G35, 62M05, 62P15
