Learning to learn by gradient descent by gradient descent

14 June 2016

Marcin Andrychowicz

Misha Denil

Sergio Gomez Colmenarejo

Papers citing "Learning to learn by gradient descent by gradient descent"

50 / 394 papers shown

Title
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
A Simple Guard for Learned Optimizers Isabeau Prémont-Schwarz Jaroslav Vítkru Jan Feyereisl 49 7 0 28 Jan 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 47 1 0 28 Jan 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 35 25 0 26 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning Alex Sheng J. He 10 2 0 01 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 68 0 27 Dec 2021
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework M. C. Ghanem Fadi Dawoud Habiba Gamal E. Soliman Hossam Sharara Tamer El-Batt 21 10 0 22 Dec 2021
Learning for Robust Combinatorial Optimization: Algorithm and Application Zhihui Shao Jianyi Yang Cong Shen Shaolei Ren 38 6 0 20 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 29 26 0 16 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 40 21 0 15 Dec 2021
N-SfC: Robust and Fast Shape Estimation from Caustic Images Marc Kassubeck Moritz Kappel Susana Castillo M. Magnor 24 1 0 13 Dec 2021
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 25 10 0 30 Nov 2021
Learning to Fit Morphable Models Vasileios Choutas Federica Bogo Jingjing Shen Julien P. C. Valentin 3DH 19 18 0 29 Nov 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 33 2 0 24 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 30 93 0 10 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 65 52 0 06 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 50 16 0 27 Oct 2021
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 32 21 0 26 Oct 2021
Stochastic Primal-Dual Deep Unrolling Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 24 4 0 19 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 36 11 0 14 Oct 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 38 39 0 11 Oct 2021
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers Jonah Casebeer Nicholas J. Bryan Paris Smaragdis 25 10 0 08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 Oct 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization Fu Wei Chenglong Bao Yang Liu 30 19 0 04 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 52 53 0 28 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 52 4 0 27 Sep 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 22 30 0 22 Sep 2021
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach Mohammad Ali Alomrani Reza Moravej Elias Boutros Khalil OffRL 39 22 0 21 Sep 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 59 0 09 Sep 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Learn2Hop: Learned Optimization on Rough Landscapes Amil Merchant Luke Metz S. Schoenholz E. D. Cubuk 31 16 0 20 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 38 1 0 06 Jul 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
To The Point: Correspondence-driven monocular 3D category reconstruction Filippos Kokkinos Iasonas Kokkinos 3DH 3DPC 32 24 0 10 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 27 15 0 04 Jun 2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users Yongchun Zhu Kaikai Ge Fuzhen Zhuang Ruobing Xie Dongbo Xi Xu-Yao Zhang Leyu Lin Qing He LRM 31 108 0 11 May 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations Guanghao Yin Wei Wang Zehuan Yuan Wei Ji Dongdong Yu Shouqian Sun Tat-Seng Chua Changhu Wang 23 14 0 08 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 54 225 0 23 Mar 2021
Evolving Continuous Optimisers from Scratch M. Lones 27 10 0 22 Mar 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 23 70 0 02 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 37 35 0 02 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 29 32 0 20 Feb 2021