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invariant representation

72 papers

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Co-occurring keywords · papers mentioning both

representation learning (25) domain generalization (18) domain adaptation (16) equivariant representation (7) distribution shift (7) graph neural network (6) transfer learning (6) neural network (5) self-supervised learning (5) contrastive learning (5)

Papers

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency AISTATS 2025 Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025 Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025 Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms WACV 2025 Multimodal Invariant Sentiment Representation Learning ACL 2025 Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025 Regularity in Canonicalized Models: A Theoretical Perspective AISTATS 2025 CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving CVPR 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024 Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024 Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks ICLR 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Invariant and Equivariant Reynolds Networks JMLR 2024 Pooling Image Datasets with Multiple Covariate Shift and Imbalance ICLR 2024 Self-supervised Transformation Learning for Equivariant Representations NeurIPS 2024 StrWAEs to Invariant Representations ICML 2024 Towards Practical Non-Adversarial Distribution Matching AISTATS 2024 Bispectral Neural Networks ICLR 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023 Fairness and Accuracy under Domain Generalization ICLR 2023 Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NeurIPS 2023 Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023