neural process

Generalizable Neural Fields as Partially Observed Neural Processes ICCV 2023 Global Perception Based Autoregressive Neural Processes ICCV 2023 Latent Bottlenecked Attentive Neural Processes ICLR 2023 Martingale Posterior Neural Processes ICLR 2023 Meta Temporal Point Processes ICLR 2023 Neural Processes with Stability NeurIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation ICML 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Semi-Parametric Inducing Point Networks and Neural Processes ICLR 2023 Versatile Neural Processes for Learning Implicit Neural Representations ICLR 2023 Evidential Turing Processes ICLR 2022 Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NeurIPS 2022 Multi-Task Processes ICLR 2022 Neural Processes with Stochastic Attention: Paying more attention to the context dataset ICLR 2022 NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022 Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition CVPR 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Conditional Temporal Neural Processes with Covariance Loss ICML 2021 Contrastive Neural Processes for Self-Supervised Learning ACML 2021 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021 GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021