Application Areas

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models ICML 2023 PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving WACV 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection NeurIPS 2023 Practical Cross-System Shilling Attacks with Limited Access to Data AAAI 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Practical Intent-driven Routing Configuration Synthesis NSDI 2023 Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study ICCV 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text Interspeech 2023 PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023 Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute ICML 2023 Predicting a Protein's Stability under a Million Mutations NeurIPS 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NeurIPS 2023 Predictive Chemistry Augmented with Text Retrieval EMNLP 2023 Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023 Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints AAAI 2023 Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications EMNLP 2023 Prefix Conditioning Unifies Language and Label Supervision CVPR 2023 PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search ICML 2023 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023 Preserving Linear Separability in Continual Learning by Backward Feature Projection CVPR 2023