invariant feature

Causal Decoupling Domain Generalization for Remote Sensing Change Detection AAAI 2026 Bridging Domains with Approximately Shared Features AISTATS 2025 Clustered Invariant Risk Minimization AISTATS 2025 DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation ICCV 2025 ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models ICML 2025 Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence ICCV 2025 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding AAAI 2025 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024 ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024 A General Framework for Robust G-Invariance in G-Equivariant Networks NeurIPS 2023 Invariant Feature Regularization for Fair Face Recognition ICCV 2023 Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract) AAAI 2023 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 Quantifying and Improving Transferability in Domain Generalization NeurIPS 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization NeurIPS 2021 Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Joint Contrastive Learning with Infinite Possibilities NeurIPS 2020 Learning Invariant Representations of Social Media Users EMNLP 2019 Extracting Invariant Features From Images Using An Equivariant Autoencoder ACML 2018 Max-Margin Invariant Features from Transformed Unlabelled Data NeurIPS 2017 Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015