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Domain Generalization

1760 directly classified papers

Papers per year

Papers

Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection NIPS 2024
ALVIN: Active Learning Via INterpolation EMNLP 2024
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms ACL 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization NAACL 2024
Exploring Compositional Generalization of Large Language Models NAACL 2024
Towards Building the LEMI Readability Platform for Children’s Literature in the Romanian Language COLING 2024
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter NAACL 2024
Parameter Competition Balancing for Model Merging NIPS 2024
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains ACL 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
Symmetric Self-Paced Learning for Domain Generalization AAAI 2024
An Open-Source Data Contamination Report for Large Language Models EMNLP 2024
Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction AAAI 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024
Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024
Towards Stable Representations for Protein Interface Prediction NIPS 2024
Geometry-Guided Domain Generalization for Monocular 3D Object Detection AAAI 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024