Search Results for author:
Found 3 papers, 0 papers with code
Can AI Be as Creative as Humans?
With the rise of advanced generative AI models capable of tasks once reserved for human creativity, the study of AI's creative potential becomes imperative for its responsible development and application.
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
To address this withholding of information, in this paper, I introduce the Isotonic Mechanism, a simple and efficient approach to improving on the imprecise raw scores by leveraging certain information that the owner is incentivized to provide.
How Gradient Descent Separates Data with Neural Collapse: A Layer-Peeled Perspective
In this paper, we derive a landscape analysis to the surrogate model to study the inductive bias of the neural features and parameters from neural networks with cross-entropy.
