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Transfer Learning

8,172 papers

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Papers

BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract) AAAI 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment NeurIPS 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NeurIPS 2024 Bootstrapping Large Language Models for Radiology Report Generation AAAI 2024 Bootstrapping Syntactic Resources from isiZulu to Siswati COLING 2024 Bootstrapping UMR Annotations for Arapaho from Language Documentation Resources COLING 2024 Born a BabyNet with Hierarchical Parental Supervision for End-to-End Text Image Machine Translation COLING 2024 Boundary Matters: A Bi-Level Active Finetuning Method NeurIPS 2024 Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024 Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems COLING 2024 Bridging the Gap: Transfer Learning from English PLMs to Malaysian English ACL 2024 Bridging the Preference Gap between Retrievers and LLMs ACL 2024 Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting COLING 2024 BSC Submission to the AmericasNLP 2024 Shared Task NAACL 2024 B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation AAAI 2024 BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer NAACL 2024 Building A German Clinical Named Entity Recognition System without In-domain Training Data NAACL 2024 CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data COLING 2024 CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning ACL 2024 Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction EMNLP 2024 Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study EMNLP 2024