transformation invariance

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 Semantic-Aware Transformation-Invariant RoI Align AAAI 2024 Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization NeurIPS 2024 PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering CVPR 2023 A Theory of PAC Learnability under Transformation Invariances NeurIPS 2022 Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations CVPR 2022 Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales NeurIPS 2022 Improving Transformation Invariance in Contrastive Representation Learning ICLR 2021 On Compositions of Transformations in Contrastive Self-Supervised Learning ICCV 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 Unsupervised Motion Representation Learning with Capsule Autoencoders NeurIPS 2021 Deep Transformation-Invariant Clustering NeurIPS 2020 Equivariant Transformer Networks ICML 2019 GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs NeurIPS 2019 Extracting Invariant Features From Images Using An Equivariant Autoencoder ACML 2018 Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection CVPR 2017 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016 Learning Local Invariant Mahalanobis Distances ICML 2015 Gated Autoencoders with Tied Input Weights ICML 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning with Transformation Invariant Kernels NeurIPS 2007