2 papers
cs.LG2024
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, Arun S. Suggala, Pradeep Shenoy
Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances, in order to maximize performance on a representa…
cs.CV2023
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images
Nishant Jain, Suryansh Kumar, Luc Van Gool
We introduce an improved solution to the neural image-based rendering problem in computer vision. Given a set of images taken from a freely moving camera at train time, the propose…