Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

9 July 2022

Papers citing "Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling"

21 / 71 papers shown

Title
PFNs4BO: In-Context Learning for Bayesian Optimization Samuel G. Müller Matthias Feurer Noah Hollmann Frank Hutter 17 33 0 27 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 25 15 0 25 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 18 5 0 23 May 2023
Statistical Foundations of Prior-Data Fitted Networks T. Nagler AI4CE 19 19 0 18 May 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 11 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 15 21 0 25 Mar 2023
Adversarially Contrastive Estimation of Conditional Neural Processes Zesheng Ye Jing Du L. Yao UQCV 18 1 0 23 Mar 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 8 19 0 27 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 17 13 0 21 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 19 119 0 19 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 18 72 0 08 Dec 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 29 45 0 23 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 23 30 0 15 Nov 2022
Latent Bottlenecked Attentive Neural Processes Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed BDL 11 19 0 15 Nov 2022
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning Tung Nguyen Qinqing Zheng Aditya Grover OffRL 8 6 0 11 Oct 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 60 24 0 01 Sep 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 19 446 0 01 Aug 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 22 25 0 22 Jun 2022
Semi-Parametric Inducing Point Networks and Neural Processes R. Rastogi Yair Schiff Alon Hacohen Zhaozhi Li I-Hsiang Lee Yuntian Deng M. Sabuncu Volodymyr Kuleshov 3DPC 19 6 0 24 May 2022
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider W. Neiswanger 30 70 0 21 Sep 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 11 1 0 05 Jul 2021