Domain Generalization

Enenlhet as a case-study to investigate ASR model generalizability for language documentation NAACL 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NeurIPS 2024 Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024 Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling WACV 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark EMNLP 2024 Evaluating Robustness of Open Dialogue Summarization Models in the Presence of Naturally Occurring Variations ACL 2024 Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring Compositional Generalization of Large Language Models NAACL 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024 Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics WACV 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024 Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains ACL 2024 Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball CVPR 2024 Focus On What Matters: Separated Models For Visual-Based RL Generalization NeurIPS 2024