Papers citing 'Attentive Neural Processes'

Title
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 338 55 0 30 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 161 2 0 27 May 2022
Semi-Parametric Inducing Point Networks and Neural ProcessesInternational Conference on Learning Representations (ICLR), 2022 R. Rastogi Yair Schiff Alon Hacohen Zhaozhi Li I-Hsiang Lee Yuntian Deng M. Sabuncu Volodymyr Kuleshov 3DPC 276 8 0 24 May 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 178 26 0 23 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects Ni Gao Jingyu Zhang Ruijie Chen Ngo Anh Vien Hanna Ziesche Gerhard Neumann 224 10 0 23 May 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 495 4 0 15 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context datasetInternational Conference on Learning Representations (ICLR), 2022 Mingyu Kim Kyeongryeol Go Se-Young Yun 136 20 0 11 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 153 0 0 08 Apr 2022
Multidimensional Belief Quantification for Label-Efficient Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2022 Deepshikha Pandey Qi Yu UQCV 135 15 0 23 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard Turner UQCV AI4CE 248 29 0 16 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks?Computer Vision and Pattern Recognition (CVPR), 2022 Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 129 29 0 09 Mar 2022
Contrastive Conditional Neural ProcessesComputer Vision and Pattern Recognition (CVPR), 2022 Zesheng Ye Lina Yao UQCV 180 15 0 08 Mar 2022
Continual Learning of Multi-modal Dynamics with External MemoryConference on Learning for Dynamics & Control (L4DC), 2022 Abdullah Akgul Gözde B. Ünal M. Kandemir CLL 255 0 0 02 Mar 2022
Reinforcement Learning in Presence of Discrete Markovian Context EvolutionInternational Conference on Learning Representations (ICLR), 2022 Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 173 12 0 14 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics ModelInternational Conference on Machine Learning (ICML), 2022 Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 203 49 0 01 Feb 2022
Learning Intuitive Policies Using Action FeaturesInternational Conference on Machine Learning (ICML), 2022 Mingwei Ma Jizhou Liu Samuel Sokota Max Kleiman-Weiner Jakob N. Foerster 247 4 0 29 Jan 2022
Research on Patch Attentive Neural Process Xiaohan Yu Shao‐Chen Mao 124 1 0 29 Jan 2022
From data to functa: Your data point is a function and you can treat it like oneInternational Conference on Machine Learning (ICML), 2022 Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 554 184 0 28 Jan 2022
Transformers Can Do Bayesian InferenceInternational Conference on Learning Representations (ICLR), 2021 Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Katharina Eggensperger BDL UQCV 856 233 0 20 Dec 2021
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands Rui Chen Alvin C M Shek Changliu Liu 135 3 0 11 Dec 2021
Neural Attention Models in Deep Learning: Survey and Taxonomy Alana de Santana Correia Esther Colombini MLAU 122 20 0 11 Dec 2021
A Generative Car-following Model Conditioned On Driving Styles Yifan Zhang Xinhong Chen Jianping Wang Zuduo Zheng Kui Wu 163 55 0 10 Dec 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 221 9 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated LearningIEEE Access (IEEE Access), 2021 Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 268 57 0 09 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax PriorsNeural Information Processing Systems (NeurIPS), 2021 Jiayi Shen Xiantong Zhen M. Worring Ling Shao 142 35 0 09 Nov 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 280 0 0 28 Oct 2021
Contrastive Neural Processes for Self-Supervised LearningAsian Conference on Machine Learning (ACML), 2021 Konstantinos Kallidromitis Denis A. Gudovskiy Kozuka Kazuki Ohama Iku Luca Rigazio SSL AI4TS 223 11 0 24 Oct 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee Heng-Chiao Huang Daehoon Gwak Edward Choi 98 7 0 24 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware AcceleratorsInternational Conference on Learning Representations (ICLR), 2021 Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 283 41 0 20 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 139 0 0 15 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021 Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 252 7 0 27 Sep 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin H. Shin Seoyoung Hong Solhee Park Noseong Park AI4TS 168 33 0 04 Sep 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 128 6 0 02 Sep 2021
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues Chirag Raman Hayley Hung Marco Loog AI4TS 165 10 0 28 Jul 2021
Conservative Objective Models for Effective Offline Model-Based OptimizationInternational Conference on Machine Learning (ICML), 2021 Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 205 106 0 14 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 226 1 0 05 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 114 2 0 30 Jun 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins Ankush Chakrabarty Gordon Wichern C. Laughman 105 10 0 29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata 111 1 0 29 Jun 2021
Continuous-Time Deep Glioma Growth Models Jens Petersen Hyunjin Park Gregor Koehler Paul F. Jäger David Zimmerer ... J. Debus S. Heiland Martin Bendszus Philipp Vollmuth Klaus H. Maier-Hein 3DH 153 13 0 23 Jun 2021
Multimodal Emergent Fake News Detection via Meta Neural Process NetworksKnowledge Discovery and Data Mining (KDD), 2021 Yaqing Wang Fenglong Ma Haoyu Wang Kishlay Jha Jing Gao 176 68 0 22 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth ImagesNeural Information Processing Systems (NeurIPS), 2021 Shaofei Wang Marko Mihajlovic Qianli Ma Andreas Geiger Siyu Tang 3DH 255 106 0 22 Jun 2021
Deep Gaussian Processes: A Survey Kalvik Jakkala AI4CE GP BDL 136 24 0 21 Jun 2021
On Contrastive Representations of Stochastic ProcessesNeural Information Processing Systems (NeurIPS), 2021 Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 127 15 0 18 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 209 30 0 16 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 121 3 0 16 Jun 2021
Attentional Meta-learners for Few-shot Polythetic ClassificationInternational Conference on Machine Learning (ICML), 2021 Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 150 1 0 09 Jun 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series DataConference on Uncertainty in Artificial Intelligence (UAI), 2021 Jens Petersen Gregor Koehler David Zimmerer Hyunjin Park Paul F. Jäger Klaus H. Maier-Hein BDL AI4TS 207 3 0 09 Jun 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic ForecastingNeural Information Processing Systems (NeurIPS), 2021 Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS BDL 239 25 0 07 Jun 2021
How Tight Can PAC-Bayes be in the Small Data Regime?Neural Information Processing Systems (NeurIPS), 2021 Andrew Y. K. Foong W. Bruinsma David R. Burt Richard Turner 295 23 0 07 Jun 2021