conftrace_

invariant representation

65 papers

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Co-occurring keywords

representation learning (6206) domain generalization (1522) domain adaptation (4595) equivariant representation (29) distribution shift (722) graph neural network (3962) self-supervised learning (3777) transfer learning (5449) contrastive learning (4032) causal inference (1630)

Papers

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025
Multimodal Invariant Sentiment Representation Learning ACL 2025
Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms WACV 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024
Towards Practical Non-Adversarial Distribution Matching AISTATS 2024
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving CVPR 2024
Self-supervised Transformation Learning for Equivariant Representations NIPS 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024
Invariant and Equivariant Reynolds Networks JMLR 2024
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023
Memory-Based Invariance Learning for Out-of-Domain Text Classification EMNLP 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization CVPR 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head NIPS 2023
PAC Generalization via Invariant Representations ICML 2023
Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks WACV 2023
Self-supervised learning of Split Invariant Equivariant representations ICML 2023
Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023