Co-occurring keywords · papers mentioning both
Papers
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning
ICCV 2025
OpenVIS: Open-vocabulary Video Instance Segmentation
AAAI 2025
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
ICLR 2025
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
ICLR 2025
Optimal Policy Adaptation Under Covariate Shift
IJCAI 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
ICML 2025
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
WACV 2025
OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding
ICCV 2025
P2 Law: Scaling Law for Post-Training After Model Pruning
ACL 2025
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening
AAAI 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
PerceptionLab at BLP-2025 Task 1: Domain-Adapted BERT for Bangla Hate Speech Detection: Contrasting Single-Shot and Hierarchical Multiclass Classification
AACL 2025
Personality Vector: Modulating Personality of Large Language Models by Model Merging
EMNLP 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
AAAI 2025
Personalized Visual Instruction Tuning
ICLR 2025
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
WACV 2025
PLeaS - Merging Models with Permutations and Least Squares
CVPR 2025
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
ACL 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
AAAI 2025
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
ICLR 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them
COLING 2025