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Simple and Controllable Music Generation Jade Copet Felix Kreuk
We tackle the task of conditional music generation.
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Previous work has focused primarily on developing ML-based "meta-learners" that can provide point estimates of the conditional
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv, Haoyuan Y ang
Since pioneering work of Hinton et al., knowledge distillation based on Kullback-Leibler Divergence (KL-Div) has been predominant, and recently its variants have
Appendix T able of Contents
We provide the guidelines presented to the users for the creation of the dataset. To see some examples of how the guidelines can be applied, visit the examples document. You can use it to rate each guideline and leave feedback for each task. The user should be allowed to refuse to give up any information. Ask the user to elaborate or rephrase instead.
LaSCal: Label-ShiftCalibrationwithouttargetlabels
Calibration error (CE) provides insights into the alignment between the predicted confidence scores and the classifier accuracy.
DeepPCR: Parallelizing Sequential Operations in Neural Networks
Despite this, several operations are still performed in a sequential manner.
