transfer learning

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID CVPR 2024 HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024 Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction SemEval 2024 HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection ACL 2024 Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024 HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024 How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NeurIPS 2024 How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AutoML 2024 HuLU: Hungarian Language Understanding Benchmark Kit COLING 2024 Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese COLING 2024 HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid EMNLP 2024 HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes CVPR 2024 ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning SemEval 2024 IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions SemEval 2024 iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification SemEval 2024 Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation COLING 2024 Improving physics-informed neural networks with meta-learned optimization JMLR 2024 Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models NAACL 2024 Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection NeurIPS 2024 InaGVAD : A Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation COLING 2024 In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ICML 2024 Incremental pre-training from smaller language models ACL 2024 Incubating Text Classifiers Following User Instruction with Nothing but LLM EMNLP 2024 IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS NeurIPS 2024