transfer learning

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks CVPR 2023 FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NeurIPS 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Few-shot Adaptation Works with UnpredicTable Data ACL 2023 Few-shot Classification via Ensemble Learning with Multi-Order Statistics IJCAI 2023 Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023 Few-Shot Semantic Image Synthesis With Class Affinity Transfer CVPR 2023 Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon ACL 2023 FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data SemEval 2023 Findings from the Bambara - French Machine Translation Competition (BFMT 2023) EACL 2023 Fine-Grained Retrieval Prompt Tuning AAAI 2023 Fine-Tuned CLIP Models Are Efficient Video Learners CVPR 2023 Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition Interspeech 2023 Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection Interspeech 2023 Fine-tuning Sentence-RoBERTa to Construct Word Embeddings for Low-resource Languages from Bilingual Dictionaries ACL 2023 FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification ICLR 2023 Fix the Noise: Disentangling Source Feature for Controllable Domain Translation CVPR 2023 FlexiViT: One Model for All Patch Sizes CVPR 2023 FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models EMNLP 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 Foundation Model for Material Science AAAI 2023 Foundation Model is Efficient Multimodal Multitask Model Selector NeurIPS 2023 Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task ACL 2023 From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained ACL 2023