Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 266 papers shown

Title
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 39 1 0 06 Nov 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 19 14 0 30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 29 12 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 19 11 0 28 Oct 2023
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes Jiaxu Cui Bing Sun Jiming Liu Bo Yang 18 1 0 25 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 21 2 0 25 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 23 2 0 16 Oct 2023
Transformer-based Autoencoder with ID Constraint for Unsupervised Anomalous Sound Detection Jian Guan Youde Liu Qiuqiang Kong Feiyang Xiao Qiaoxi Zhu Jiantong Tian Wenwu Wang 28 7 0 13 Oct 2023
Tree Cross Attention Zixuan Chen Zewei He Ziqian Lu Zheming Lu Mohamed Osama Ahmed 39 0 0 29 Sep 2023
Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu Kuan-Chieh Jackson Wang Serena Yeung AI4CE 28 4 0 13 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 30 2 0 11 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 10 0 0 01 Sep 2023
Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions Lucian Chan M. Verdonk C. Poelking 17 4 0 17 Aug 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 18 0 0 06 Aug 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
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 19 13 0 26 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems Fan Shi Bin Li Xiangyang Xue LRM 32 9 0 15 Jul 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard E. Turner DiffM 36 8 0 11 Jul 2023
Exploiting Inferential Structure in Neural Processes Dharmesh Tailor Mohammad Emtiyaz Khan Eric Nalisnick BDL 39 1 0 27 Jun 2023
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach Zicheng Zhao Linhao Luo Shirui Pan Quoc Viet Hung Nguyen Chenggui Gong 25 6 0 26 Jun 2023
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 17 0 0 21 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 43 88 0 20 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 54 8 0 19 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 17 0 0 16 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 19 2 0 30 May 2023
Adaptive Conditional Quantile Neural Processes Peiman Mohseni N. Duffield Bani Mallick Arman Hasanzadeh 22 3 0 30 May 2023
Graph Neural Processes for Spatio-Temporal Extrapolation Junfeng Hu Yuxuan Liang Zhencheng Fan Hongyang Chen Yu Zheng Roger Zimmermann BDL 22 11 0 30 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 32 15 0 25 May 2023
Manifold Diffusion Fields Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 36 4 0 24 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 25 4 0 24 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 25 5 0 23 May 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 30 7 0 07 May 2023
Martingale Posterior Neural Processes Hyungi Lee Eunggu Yun G. Nam Edwin Fong Juho Lee UQCV 23 7 0 19 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 30 28 0 17 Apr 2023
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands Rui Chen Alvin C M Shek Changliu Liu 8 4 0 12 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 27 8 0 04 Apr 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard E. Turner BDL UQCV 28 21 0 25 Mar 2023
Adversarially Contrastive Estimation of Conditional Neural Processes Zesheng Ye Jing Du L. Yao UQCV 23 1 0 23 Mar 2023
Diffusion Probabilistic Fields Peiye Zhuang Samira Abnar Jiatao Gu Alex Schwing Joshua M. Susskind Miguel Angel Bautista DiffM 22 25 0 01 Mar 2023
Learning Physical Models that Can Respect Conservation Laws Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 34 42 0 21 Feb 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 25 7 0 20 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 31 7 0 16 Feb 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 70 37 0 14 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 37 29 0 12 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 28 0 0 31 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction Chen Gao Bin Li OCL 23 5 0 21 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 19 13 0 21 Jan 2023
ExReg: Wide-range Photo Exposure Correction via a Multi-dimensional Regressor with Attention Tzu-Hao Chiang Hao-Chien Hsueh Ching-Chun Hsiao Ching-Chun Huang 27 1 0 14 Dec 2022