7 citations · 13 across the 5 of their papers we have counts for
5 papers
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo +5
Fine-tuning pretrained models is a standard and effective workflow in modern machine learning. However, robust fine-tuning (RFT), which aims to simultaneously achieve adaptation to…
A well-quasi-order for continuous functions
Raphaël Carroy, Yann Pequignot
We prove that continuous reducibility is a well-quasi-order on the class of continuous functions between separable metrizable spaces with analytic zero-dimensional domain. To achie…
Embeddability on functions: order and chaos
Raphaël Carroy, Yann Pequignot, Zoltán Vidnyánszky
We study the quasi-order of topological embeddability on definable functions between Polish zero-dimensional spaces. We first study the descriptive complexity of this quasi-order r…
Finite versus infinite: an insufficient shift
Yann Pequignot
The shift graph is defined on the space of infinite subsets of natural numbers by letting two sets be adjacent if one can be obtained from the other by removing its least element.…
Towards Better: A motivated introduction to better-quasi-orders
Yann Pequignot
The well-quasi-orders (WQO) play an important role in various fields such as Computer Science, Logic or Graph Theory. Since the class of WQOs lacks closure under some important ope…