Domain Adaptation

Tools Identification By On-Board Adaptation of Vision-and-Language Models AAAI 2024 Too Young to NER: Improving Entity Recognition on Dutch Historical Documents COLING 2024 Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation EACL 2024 TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024 Towards a Clean Text Corpus for Ottoman Turkish ACL 2024 Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers MIDL 2024 Towards a new research agenda for multimodal enterprise document understanding: What are we missing? ACL 2024 Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond NAACL 2024 Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education AAAI 2024 Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization NAACL 2024 Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards Combating Frequency Simplicity-biased Learning for Domain Generalization NeurIPS 2024 Towards Comprehensive Language Analysis for Clinically Enriched Spontaneous Dialogue COLING 2024 Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language EACL 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024 Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data COLING 2024 Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method EMNLP 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NeurIPS 2024 Towards Hierarchical Spoken Language Disfluency Modeling EACL 2024 Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach ICLR 2024 Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation AAAI 2024 Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection NeurIPS 2024 Towards Multi-dimensional Explanation Alignment for Medical Classification NeurIPS 2024