Co-occurring keywords · papers mentioning both
Papers
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NeurIPS 2024
Semantic-Aware Multi-Label Adversarial Attacks
CVPR 2024
Adaptive Estimation of Graphical Models under Total Positivity
ICML 2023
Continual Learning with Scaled Gradient Projection
AAAI 2023
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
NeurIPS 2023
Optimizing Mode Connectivity for Class Incremental Learning
ICML 2023
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
CVPR 2023
Switchable Representation Learning Framework With Self-Compatibility
CVPR 2023
projUNN: efficient method for training deep networks with unitary matrices
NeurIPS 2022
TRGP: Trust Region Gradient Projection for Continual Learning
ICLR 2022
Deep Gradient Projection Networks for Pan-sharpening
CVPR 2021
Natural continual learning: success is a journey, not (just) a destination
NeurIPS 2021
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
NeurIPS 2020
Orthogonal Gradient Descent for Continual Learning
AISTATS 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
ICML 2020
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
ICML 2017
Learning Kernels with Radiuses of Minimum Enclosing Balls
NeurIPS 2010