… such automatically shape-adapting tools can also help train users … shape can help users
in motor skill training. In particular, we study how training with an automatically adaptive training …

… To what degree does learning generalize to, or perhaps interfere with, new stimuli or related
… training protocols better than others, and if so, how can we develop the best form of training…

… training fast and generalizing to unseen data, and show how these can be avoided by carefully
controlling the “shape” of … We then develop a method called Deep Kernel Shaping (DKS), …

… tions: how did the shape bias emerge in our lexical categorization systems? and why does it
… – the proportion of shape games seen during training (the non-shape games are randomly …

… We provide a fitness shaping approach to training multiple agents to cooperate with multiple
… to train with. The purpose of this second experiment is to show how well these shaped …

… shapes for training, 3K shapes for validation, and 3K shapes … see how different fine-tuning
methods are affected by training … We plot the number of training shapes on the X-axis and test …

… for shapes via training an autoencoder, and we then train a normalizing flow network [12] to
model the distribution of shape em… In this experiment, we investigate how much does prompt …

… Then we describe how to model the distribution of shapes from the set of point clouds (ie \(\…
Then we describe how we train this neural network and how we sample points using the …

… Second, to overcome the lack of real-world training images with 3D point clouds, … does it
outperform the state-of-the-arts? 3) How capable is our network in terms of single-view shape …

… training dynamics through the lens of important examples—we investigate how the data
distribution shapes the … of the model’s data representation that are relatively stable over training. …