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Domain Adaptation

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Papers

Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation ACL 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi Interspeech 2024 Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection ECCV 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Exploring Pre-trained Speech Model for Articulatory Feature Extraction in Dysarthric Speech Using ASR Interspeech 2024 Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes NAACL 2024 Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion Interspeech 2024 Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024 Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech Interspeech 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NeurIPS 2024 Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow ICLR 2024 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024 Exploring the Low-Pass Filtering Behavior in Image Super-Resolution ICML 2024 Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy EMNLP 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024 Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters ICML 2024 Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors EMNLP 2024 Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems ICML 2024 Extracting Biomedical Entities from Noisy Audio Transcripts COLING 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 F3Loc: Fusion and Filtering for Floorplan Localization CVPR 2024 Fact Checking Beyond Training Set NAACL 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024