Co-occurring keywords · papers mentioning both
Papers
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
AAAI 2025
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
WACV 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
ICLR 2025
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
CVPR 2023
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
ICML 2023
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
NeurIPS 2022
SHAPE: Shifted Absolute Position Embedding for Transformers
EMNLP 2021
Shift Invariance Can Reduce Adversarial Robustness
NeurIPS 2021
Truly Shift-Invariant Convolutional Neural Networks
CVPR 2021
Making Convolutional Networks Shift-Invariant Again
ICML 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
CVPR 2019
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
ICML 2018
Adaptive Template Matching with Shift-Invariant Semi-NMF
NeurIPS 2008
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
NeurIPS 2007