Self-Supervised Learning

PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection NeurIPS 2023 Predicate Invention for Bilevel Planning AAAI 2023 Predicting Compositionality of Verbal Multiword Expressions in Persian EACL 2023 Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023 PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NeurIPS 2023 Pre-Finetuning for Few-Shot Emotional Speech Recognition Interspeech 2023 Preserving Modality Structure Improves Multi-Modal Learning ICCV 2023 Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding EMNLP 2023 Pre-training Language Model as a Multi-perspective Course Learner ACL 2023 Pretraining Language Models with Human Preferences ICML 2023 Pretraining Language Models with Text-Attributed Heterogeneous Graphs EMNLP 2023 Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction NeurIPS 2023 Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NeurIPS 2023 Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI MIDL 2023 PreViTS: Contrastive Pretraining With Video Tracking Supervision WACV 2023 PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NeurIPS 2023 Prior-guided Source-free Domain Adaptation for Human Pose Estimation ICCV 2023 Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration Interspeech 2023 Procedure-Aware Pretraining for Instructional Video Understanding CVPR 2023 PRODIGY: Enabling In-context Learning Over Graphs NeurIPS 2023 Progressively Compressed Auto-Encoder for Self-supervised Representation Learning ICLR 2023 Progressive Random Convolutions for Single Domain Generalization CVPR 2023 Progressive Video Summarization via Multimodal Self-Supervised Learning WACV 2023 Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners AAAI 2023