外形 发表于 2025-3-28 18:12:59
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Tojo Thatchenkery,Keimei Sugiyamarovide a method for efficient hierarchical knowledge elicitation (HKE) from experts working with high-dimensional data such as images or videos. Our method is based on psychometric testing and active deep metric learning. The developed models embed the high-dimensional data in a metric space where dMorose 发表于 2025-3-29 06:39:42
Tojo Thatchenkery,Keimei Sugiyamaat although the relative propagation speed of topics that are derived from the learned parameter values is rather insensitive to the model selected, there is a clear indication as to which topic better follows which model. The correspondence between the topic and the model selected is well interpretmoribund 发表于 2025-3-29 08:34:21
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h stochastic activations and demonstrate their effectiveness in a wide range of Atari 2600 games, a continuous control problem and a car racing task. Lastly, in a qualitative analysis, we present evidence of the proposed model adapting the noise in the policy and value functions to reflect uncertain