Representation Learning

Parametric Augmentation for Time Series Contrastive Learning ICLR 2024 ParamISP: Learned Forward and Inverse ISPs using Camera Parameters CVPR 2024 Paraphrasing in Affirmative Terms Improves Negation Understanding ACL 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation NeurIPS 2024 PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation Interspeech 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NeurIPS 2024 Participant-Pair-Wise Bottleneck Transformer for Engagement Estimation from Video Conversation Interspeech 2024 PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024 Patched Line Segment Learning for Vector Road Mapping AAAI 2024 Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model ACL 2024 PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling ACL 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure IJCAI 2024 PE: A Poincare Explanation Method for Fast Text Hierarchy Generation EMNLP 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NeurIPS 2024 Permutation-Aware Activity Segmentation via Unsupervised Frame-To-Segment Alignment WACV 2024 Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments NeurIPS 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Personalized Speech Enhancement Without a Separate Speaker Embedding Model Interspeech 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Personas as a Way to Model Truthfulness in Language Models EMNLP 2024 Perturbed examples reveal invariances shared by language models ACL 2024