Co-occurring keywords · papers mentioning both
Papers
Overcoming Generic Knowledge Loss with Selective Parameter Update
CVPR 2024
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
ACL 2024
Parameter Competition Balancing for Model Merging
NeurIPS 2024
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
NeurIPS 2024
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune?
EACL 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Paraphrase Identification via Textual Inference
NAACL 2024
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
ICLR 2024
Part-of-Speech Tagging for Northern Kurdish
COLING 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
People and Places of the Past - Named Entity Recognition in Swedish Labour Movement Documents from Historical Sources
EACL 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NeurIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NeurIPS 2024
Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring
IJCAI 2024
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
AAAI 2024
Point-VOS: Pointing Up Video Object Segmentation
CVPR 2024
Poseidon: Efficient Foundation Models for PDEs
NeurIPS 2024
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
ICML 2024
Position: Will we run out of data? Limits of LLM scaling based on human-generated data
ICML 2024
POS Tagging for the Endangered Dagur Language
COLING 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
EACL 2024
Predictive auxiliary objectives in deep RL mimic learning in the brain
ICLR 2024
Preparing Lessons for Progressive Training on Language Models
AAAI 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
CVPR 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024