Co-occurring keywords · papers mentioning both
Papers
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
NeurIPS 2024
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
AAAI 2023
ObjectMatch: Robust Registration Using Canonical Object Correspondences
CVPR 2023
Towards Scaling Difference Target Propagation by Learning Backprop Targets
ICML 2022
Credit Assignment in Neural Networks through Deep Feedback Control
NeurIPS 2021
Feature-Based SLAM: Why Simultaneous Localisation and Mapping?
RSS 2021
A Theoretical Framework for Target Propagation
NeurIPS 2020
Learning to Optimize Non-Rigid Tracking
CVPR 2020
Practical Gauss-Newton Optimisation for Deep Learning
ICML 2017
Project-Out Cascaded Regression With an Application to Face Alignment
CVPR 2015
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild
CVPR 2014