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Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 273 papers shown

Title
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection Fan Shi Bin Li Xiangyang Xue ReLM LRM 76 3 0 18 Jan 2024
Space and Time Continuous Physics Simulation From Partial Observations Steeven Janny Madiha Nadri Wolf Julie Digne Christian Wolf AI4CE 115 6 0 17 Jan 2024
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 84 0 0 15 Dec 2023
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation Tomoharu Iwata Atsutoshi Kumagai BDL UQCV 78 1 0 13 Dec 2023
Target-Free Compound Activity Prediction via Few-Shot Learning Peter Eckmann Jake Anderson Michael K. Gilson Rose Yu 74 1 0 27 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 86 0 0 09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 61 2 0 09 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 94 1 0 06 Nov 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 107 17 0 30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 73 17 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 81 12 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 56 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 74 3 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 85 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 55 9 0 13 Oct 2023
Tree Cross Attention Zixuan Chen Zewei He Ziqian Lu Zheming Lu Mohamed Osama Ahmed 147 0 0 29 Sep 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 72 0 0 18 Sep 2023
Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu Kuan-Chieh Wang Serena Yeung AI4CE 99 4 0 13 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 79 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 89 0 0 01 Sep 2023
Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions Lucian Chan M. Verdonk C. Poelking 47 4 0 17 Aug 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 50 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 97 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 85 36 0 26 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems Fan Shi Bin Li Xiangyang Xue LRM 80 10 0 15 Jul 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard Turner DiffM 86 9 0 11 Jul 2023
Exploiting Inferential Structure in Neural Processes Dharmesh Tailor Mohammad Emtiyaz Khan Eric Nalisnick BDL 79 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 72 6 0 26 Jun 2023
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 103 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 152 90 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 150 9 0 19 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 63 0 0 16 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 79 2 0 30 May 2023
Adaptive Conditional Quantile Neural Processes Peiman Mohseni N. Duffield Bani Mallick Arman Hasanzadeh 71 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 76 12 0 30 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 125 17 0 25 May 2023
Manifold Diffusion Fields Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 79 6 0 24 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 77 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 81 7 0 23 May 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 88 7 0 07 May 2023
Martingale Posterior Neural Processes Hyungi Lee Eunggu Yun G. Nam Edwin Fong Juho Lee UQCV 53 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 80 31 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 38 4 0 12 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 72 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 Turner BDL UQCV 88 25 0 25 Mar 2023
Adversarially Contrastive Estimation of Conditional Neural Processes Zesheng Ye Jing Du L. Yao UQCV 59 1 0 23 Mar 2023
Diffusion Probabilistic Fields Peiye Zhuang Samira Abnar Jiatao Gu Alex Schwing Joshua M. Susskind Miguel Angel Bautista DiffM 66 24 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 121 50 0 21 Feb 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 88 11 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 86 7 0 16 Feb 2023