9 citations · 30 across the 8 of their papers we have counts for
3 papers · 1 filter
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Adrian El Baz, Ihsan Ullah, Edesio Alcobaça +17
Although deep neural networks are capable of achieving performance superior to humans on various tasks, they are notorious for requiring large amounts of data and computing resourc…
LTU Attacker for Membership Inference
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang +3
We address the problem of defending predictive models, such as machine learning classifiers (Defender models), against membership inference attacks, in both the black-box and white…
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
We introduce OmniPrint, a synthetic data generator of isolated printed characters, geared toward machine learning research. It draws inspiration from famous datasets such as MNIST,…