Transfer Learning

Event Detection from Social Media for Epidemic Prediction NAACL 2024 Event Extraction in Basque: Typologically Motivated Cross-Lingual Transfer-Learning Analysis COLING 2024 Evidence-guided Inference for Neutralized Zero-shot Transfer COLING 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs ICML 2024 Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus EMNLP 2024 Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks NAACL 2024 ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets Interspeech 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 ExpeL: LLM Agents Are Experiential Learners AAAI 2024 Experiments in Mamba Sequence Modeling and NLLB-200 Fine-Tuning for Low Resource Multilingual Machine Translation NAACL 2024 Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi Interspeech 2024 Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis COLING 2024 Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning Interspeech 2024 Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context COLING 2024 Exploring Self-supervised Logic-enhanced Training for Large Language Models NAACL 2024 Exploring Text Classification for Enhancing Digital Game-Based Language Learning for Irish COLING 2024 Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning ACL 2024 Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy EMNLP 2024 Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties EACL 2024 Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation COLING 2024 Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models MIDL 2024 Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora CoNLL 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NeurIPS 2024