Transfer Learning

ConeQuest: A Benchmark for Cone Segmentation on Mars WACV 2024 Consistent Prompting for Rehearsal-Free Continual Learning CVPR 2024 Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation CVPR 2024 Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth CVPR 2024 Convolutional Prompting meets Language Models for Continual Learning CVPR 2024 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection ICML 2024 Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024 Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages EMNLP 2024 Cross-Task Defense: Instruction-Tuning LLMs for Content Safety NAACL 2024 Cross-video Identity Correlating for Person Re-identification Pre-training NeurIPS 2024 Cross-view and Cross-pose Completion for 3D Human Understanding CVPR 2024 CUET_Binary_Hackers@DravidianLangTech EACL2024: Fake News Detection in Malayalam Language Leveraging Fine-tuned MuRIL BERT EACL 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 Data Contamination Can Cross Language Barriers EMNLP 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 Data-Efficient Multimodal Fusion on a Single GPU CVPR 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 Debiasing Large Language Models with Structured Knowledge ACL 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024 Deep Correlated Prompting for Visual Recognition with Missing Modalities NeurIPS 2024 DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning EMNLP 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform NeurIPS 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024