probabilistic representation

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Knowledge Intensive Learning of Cutset Networks UAI 2023 Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning ICCV 2023 Probabilistic Representations for Video Contrastive Learning CVPR 2022 Inductive Topic Variational Graph Auto-Encoder for Text Classification NAACL 2021 Probabilistic and Geometric Depth: Detecting Objects in Perspective CoRL 2021 User-Level Differentially Private Learning via Correlated Sampling NeurIPS 2021 RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SemEval 2020 Characterizing the Sample Complexity of Pure Private Learners JMLR 2019 Evolving GPU Machine Code JMLR 2015 Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014