translation invariance

Learning Multi-Robot Coordination with Invariant Consensus Stabilization L4DC 2026 Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling WACV 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024 Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ICLR 2024 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 Rotation and Translation Invariant Representation Learning with Implicit Neural Representations ICML 2023 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022 Stochastic Window Transformer for Image Restoration NeurIPS 2022 Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE NeurIPS 2022 Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be JMLR 2021 Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021 Grounding inductive biases in natural images: invariance stems from variations in data NeurIPS 2021 On Position Embeddings in BERT ICLR 2021 The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models ACL 2021 BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020 On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location CVPR 2020 Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NeurIPS 2019 An intriguing failing of convolutional neural networks and the CoordConv solution NeurIPS 2018 Shepard Convolutional Neural Networks NeurIPS 2015 Learning with Transformation Invariant Kernels NeurIPS 2007