Continuous-Time Meta-Learning with Forward Mode Differentiation
ICLR 2022 (Spotlight) – Installation – Example – Citation This repository contains the official implementation in JAX of COMLN (Deleu et al., 2022), a gradient-based meta-learning algorithm, where adaptation follows a gradient flow. It contains an implementation of the memory-efficient algorithm to compute the meta-gradients, based on forward-mode differentiation. The implementation is based on jax-meta. Installation To avoid any conflict with your existing Python setup, we are suggesting to work in a virtual environment: python -m venv venv source venv/bin/activate […]
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