Neil Alldrin

Learning From Noisy Large-Scale Datasets With Minimal Supervision

We present an approach to effectively use millions of images with noisy annotations in conjunction with a small subset of cleanly-annotated images to learn powerful image representations. One common approach to combine clean and noisy data is to first pre-train a network using the large noisy datase…