conftrace_

invariant learning

39 papers

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Co-occurring keywords

domain generalization (1522) out-of-distribution generalization (408) graph neural network (3962) causal inference (1630) distribution shift (722) neural network (6616) spurious correlation (279) domain adaptation (4595) graph representation learning (246) representation learning (6206)

Papers

Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026
FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026
Exploring Rationale Learning for Continual Graph Learning AAAI 2025
Sufficient Invariant Learning for Distribution Shift CVPR 2025
Equal Truth: Rumor Detection with Invariant Group Fairness EMNLP 2025
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024
Hacking Task Confounder in Meta-Learning IJCAI 2024
A Canonicalization Perspective on Invariant and Equivariant Learning NIPS 2024
Dissecting the Failure of Invariant Learning on Graphs NIPS 2024
Effect-Invariant Mechanisms for Policy Generalization JMLR 2024
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024
Enhancing Distributional Stability among Sub-populations AISTATS 2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024
Set-based Neural Network Encoding Without Weight Tying NIPS 2024
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation NIPS 2023
Invariant Learning via Probability of Sufficient and Necessary Causes NIPS 2023
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023
An Invariant Learning Characterization of Controlled Text Generation ACL 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023
Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NIPS 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NIPS 2023