Computer SciencearXiv
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations
J. Tack, S. Kim, et al.
Introducing Error-based Context Pruning (ECoP), a groundbreaking meta-learning technique that optimizes large-scale implicit neural representations (INRs) by intelligently selecting context points based on predictive error. This innovative approach enhances reconstruction quality and facilitates learning in high-dimensional signals, showcasing remarkable improvements across various modalities. This research was conducted by Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, and Jonathan Richard Schwarz.
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