Co-occurring keywords · papers mentioning both
Papers
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
NeurIPS 2023
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
ICLR 2023
Exploring Mode Connectivity for Pre-trained Language Models
EMNLP 2022
Learning a subspace of policies for online adaptation in Reinforcement Learning
ICLR 2022
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
NeurIPS 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
ICLR 2022
Navigating the GAN Parameter Space for Semantic Image Editing
CVPR 2021
On Monotonic Linear Interpolation of Neural Network Parameters
ICML 2021
Black-Box Methods for Restoring Monotonicity
ICML 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Orthogonal Gradient Descent for Continual Learning
AISTATS 2020
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
AISTATS 2019
Deep Network Interpolation for Continuous Imagery Effect Transition
CVPR 2019
On the Realization of Compositionality in Neural Networks
ACL 2019
Measuring the Intrinsic Dimension of Objective Landscapes
ICLR 2018
Orbit Regularization
NeurIPS 2014