Meta-Learning Update Rules for Unsupervised Representation Learning

31 March 2018

Luke Metz

Niru Maheswaranathan

Brian Cheung

Jascha Narain Sohl-Dickstein

SSL

OOD

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Papers citing "Meta-Learning Update Rules for Unsupervised Representation Learning"

33 / 33 papers shown

Title
Self-Assembly of a Biologically Plausible Learning Circuit Q. Liao Liu Ziyin Yulu Gan Brian Cheung Mark Harnett Tomaso Poggio 52 0 0 31 Dec 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 46 0 0 28 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun Xinhao Li Karan Dalal Jiarui Xu Arjun Vikram ... Xinlei Chen Xiaolong Wang Sanmi Koyejo Tatsunori Hashimoto Carlos Guestrin 66 92 0 05 Jul 2024
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 42 3 0 25 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 27 0 0 06 Jun 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning Keqian Li Yifan Hu Logan Palanisamy Lisa Jones A. Gupta J. E. Grigsby Ili Selinger Matt Gillingham Fei Tan 26 1 0 09 Mar 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 67 0 27 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 73 26 0 06 Dec 2021
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility Li Chen Yulin Ding Saeid Pirasteh Han Hu Qing Zhu Haowei Zeng Haojia Yu Qisen Shang Yongfei Song 8 9 0 03 Oct 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 30 32 0 21 Sep 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 33 9 0 21 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 59 222 0 27 Jan 2021
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling Wenchi Ma Miao Yu Kaidong Li Guanghui Wang 14 5 0 15 Oct 2020
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Risto Miikkulainen 29 5 0 02 Oct 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 33 62 0 23 Sep 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 24 93 0 10 Jul 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 34 32 0 16 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 32 86 0 05 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 58 1,935 0 11 Apr 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Zero-shot Text Classification With Generative Language Models Raul Puri Bryan Catanzaro VLM 16 102 0 10 Dec 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 17 26 0 08 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 19 8 0 01 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 33 128 0 17 Apr 2019
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 51 106 0 12 Jun 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 49 227 0 13 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016