Transfer Learning

Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Self-training Large Language Models through Knowledge Detection EMNLP 2024 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data NeurIPS 2024 Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval NeurIPS 2024 Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NeurIPS 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization AAAI 2024 Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024 silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning SemEval 2024 SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models NAACL 2024 Single Domain Generalization for Crowd Counting CVPR 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NeurIPS 2024 SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks EACL 2024 Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More EACL 2024 Source-Free Domain Adaptation with Frozen Multimodal Foundation Model CVPR 2024 Sparse is Enough in Fine-tuning Pre-trained Large Language Models ICML 2024 Sparse maximal update parameterization: A holistic approach to sparse training dynamics NeurIPS 2024 Speech Recognition Models are Strong Lip-readers Interspeech 2024 Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish NAACL 2024 SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models EMNLP 2024 Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks NeurIPS 2024 Stage Direction Classification in French Theater: Transfer Learning Experiments EACL 2024 Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements CVPR 2024