The Neural Process Family: Survey, Applications and Perspectives

1 September 2022

Papers citing "The Neural Process Family: Survey, Applications and Perspectives"

36 / 36 papers shown

Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu Pan Zhou Zehao Xiao Jiayi Shen Wenzhe Yin J. Sonke E. Gavves 34 0 0 03 May 2025
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes Lars Ullrich Andreas Völz Knut Graichen 35 1 0 09 Jul 2024
In-Context In-Context Learning with Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller Richard E. Turner 31 3 0 19 Jun 2024
Translation Equivariant Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Junhyuck Kim Lakee Sivaraya Stratis Markou James Requeima W. Bruinsma Richard E. Turner 46 4 0 18 Jun 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
Spectral Convolutional Conditional Neural Processes Peiman Mohseni Nick Duffield 40 3 0 19 Apr 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 41 12 0 26 Mar 2024
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes Seokhyun Chung Raed Al Kontar 34 0 0 25 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 24 0 0 20 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu D. Wu Kai Kim Yi Ma D. Watson‐Parris Rose Yu AI4CE 34 2 0 29 Feb 2024
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 31 12 0 30 Oct 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation Jianfeng Wang Daniela Massiceti Xiaolin Hu Vladimir Pavlovic Thomas Lukasiewicz UQCV 30 3 0 05 Aug 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard Turner DiffM 36 8 0 11 Jul 2023
Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov Ivan Titov N. Siddharth BDL 18 0 0 29 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 28 5 0 23 May 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning D. Wu Ruijia Niu Matteo Chinazzi Yi Ma Rose Yu AI4CE 32 7 0 07 May 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 36 7 0 16 Feb 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 21 13 0 21 Jan 2023
Latent Bottlenecked Attentive Neural Processes Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed BDL 19 19 0 15 Nov 2022
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 64 15 0 28 Sep 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 19 12 0 09 Aug 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 65 41 0 03 Jul 2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud Siqiao Xue C. Qu X. Shi Cong Liao Shiyi Zhu ... Yun Hu Lei Lei Yang Zheng Jianguo Li James Y. Zhang 54 38 0 31 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects Ni Gao Jingyu Zhang Ruijie Chen Ngo Anh Vien Hanna Ziesche Gerhard Neumann 41 10 0 23 May 2022
How Neural Processes Improve Graph Link Prediction Huidong Liang Junbin Gao AI4CE 33 13 0 30 Sep 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 47 20 0 17 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 165 0 29 Jan 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 50 103 0 24 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016