Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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Updated
Jun 22, 2021 - Python
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Domain Generalization via Gradient Surgery
Repository for the paper "Advancing General-Purpose Reasoning Models with Modular Gradient Surgery"
[NIPS 2025 Poster] "Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery" code implementation
Official PyTorch implementation of "On Parameter Decoupling, Conditioning, and Interface Transmission in Multi-Objective Physics-Informed Neural Networks". Exact parameter-level gradient orthogonality, C^2 Hermite blending, and multi-physics benchmarks.
Official PyTorch implimentation of Adaptive N-Subspace PINN (AS-PINN): Autonomous Parameter-Space AMR via Vectorized Gradient Conflict Profiling for Stiff, Multi-Scale, and High-Dimensional PDEs.
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