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Domain Generalization

1760 directly classified papers

Papers per year

Papers

Where are we Still Split on Tokenization? EACL 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment CVPR 2024
Prompt Learning via Meta-Regularization CVPR 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models RSS 2024
Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation RSS 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NIPS 2024
Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024
A synthetic data approach for domain generalization of NLI models ACL 2024
Efficient Data Collection for Robotic Manipulation via Compositional Generalization RSS 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization NAACL 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024
An Open-Source Data Contamination Report for Large Language Models EMNLP 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models NIPS 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? EMNLP 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity NIPS 2024
Grounding Partially-Defined Events in Multimodal Data EMNLP 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation EMNLP 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024
Towards Stable Representations for Protein Interface Prediction NIPS 2024
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024