Deep Learning
DeepDRK: DeepDependencyRegularizedKnockoff forFeatureSelection
Since itsintroduction inparametric design, knockofftechniques haveevolvedto handle arbitrary data distributions using deep learning-based generative models.
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models Ge Zheng 1 Bin Y ang 1 Jiajin T ang 1 Hong-Y u Zhou 2
As shown in Figure 1(d) and (e), basic science questions that are out-of-distribution pose a challenge for these models.
0f293260c9e3e9527c06920316326114-Paper-Conference.pdf
Deep predictive models of neuronal activity have recently enabled several new discoveries about the selectivity and invariance of neurons in the visual cortex.
