Semi-Parametric Inducing Point Networks and Neural Processes

Semi-Parametric Inducing Point Networks and Neural Processes

24 May 2022

Volodymyr Kuleshov

Papers citing "Semi-Parametric Inducing Point Networks and Neural Processes"

9 / 9 papers shown

Title
Theoretical Benefit and Limitation of Diffusion Language Model Guhao Feng Yihan Geng Jian-Yu Guan Wei Yu Wu Liwei Wang Di He DiffM 45 0 0 13 Feb 2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 25 1 0 05 Jan 2024
Long-Range Transformers for Dynamic Spatiotemporal Forecasting J. E. Grigsby Zhe Wang Nam Nguyen Yanjun Qi AI4TS 58 83 0 24 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 144 98 0 01 Mar 2021
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 221 402 0 24 Feb 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 223 4,424 0 23 Jan 2020
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 62 277 0 09 Aug 2012