representation learning

Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction NeurIPS 2023 PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023 Privacy-preserving Representation Learning for Speech Understanding Interspeech 2023 Probing for Hyperbole in Pre-Trained Language Models ACL 2023 Probing Graph Representations AISTATS 2023 Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration Interspeech 2023 Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023 Progressive Deep Multi-View Comprehensive Representation Learning AAAI 2023 Progressively Compressed Auto-Encoder for Self-supervised Representation Learning ICLR 2023 ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NeurIPS 2023 ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning CVPR 2023 ProtoFL: Unsupervised Federated Learning via Prototypical Distillation ICCV 2023 Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023 Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning ICML 2023 Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023 Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023 Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks NeurIPS 2023 Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023