Co-occurring keywords · papers mentioning both
Papers
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
IJCAI 2025
Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
ICLR 2025
P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NeurIPS 2024
Weight-Sharing Regularization
AISTATS 2024
Adversarial Robustness via Random Projection Filters
CVPR 2023
Inner Product-based Neural Network Similarity
NeurIPS 2023
Trainability Preserving Neural Pruning
ICLR 2023
Understanding the Covariance Structure of Convolutional Filters
ICLR 2023
Continual Learning with Filter Atom Swapping
ICLR 2022
Single-Shot Path Integrated Panoptic Segmentation
WACV 2022
Differential Spectral Normalization (DSN) for PDE Discovery
AAAI 2021
Image Generation using Continuous Filter Atoms
NeurIPS 2021
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
AAAI 2020
Stochastic Conditional Generative Networks with Basis Decomposition
ICLR 2020
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
AAAI 2019
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
AISTATS 2019
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding
CVPR 2018
When is a Convolutional Filter Easy to Learn?
ICLR 2018
Spectral Representations for Convolutional Neural Networks
NeurIPS 2015
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
CVPR 2013