invariant representation

Label-Noise Robust Domain Adaptation ICML 2020 Learning Invariant Representation for Unsupervised Image Restoration CVPR 2020 Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020 Invariant-Equivariant Representation Learning for Multi-Class Data ICML 2019 Learning Invariant Representations of Social Media Users EMNLP 2019 Learning Invariant Representations with Kernel Warping AISTATS 2019 On Learning Invariant Representations for Domain Adaptation ICML 2019 Universal Invariant and Equivariant Graph Neural Networks NeurIPS 2019 Untangling in Invariant Speech Recognition NeurIPS 2019 Emergence of Invariance and Disentanglement in Deep Representations JMLR 2018 Group Equivariant Capsule Networks NeurIPS 2018 Invariant Representations without Adversarial Training NeurIPS 2018 Towards Robust and Privacy-preserving Text Representations ACL 2018 Controllable Invariance through Adversarial Feature Learning NeurIPS 2017 Neural Message Passing for Quantum Chemistry ICML 2017 Convolutional Kernel Networks NeurIPS 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Learning invariant representations and applications to face verification NeurIPS 2013 Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination CVPR 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012