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
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 33 4 0 13 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 32 9 0 24 Apr 2023
Learning To Optimize Quantum Neural Network Without Gradients Ankit Kulshrestha Xiaoyuan Liu Hayato Ushijima-Mwesigwa Ilya Safro 40 5 0 15 Apr 2023
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 48 17 0 12 Apr 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 42 3 0 09 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images Dong Huo Jian Wang Yiming Qian Yee-Hong Yang 21 0 0 04 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 26 2 0 29 Mar 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation Yuta Yoshitake Mai Nishimura S. Nobuhara Ko Nishino ViT 36 2 0 23 Mar 2023
Improving physics-informed neural networks with meta-learned optimization Alexander Bihlo PINN 36 18 0 13 Mar 2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks Kaixin Xu Alina Hui Xiu Lee Ziyuan Zhao Zhe Wang Min-man Wu Weisi Lin MQ 28 1 0 04 Mar 2023
Learning not to Regret David Sychrovský Michal Sustr Elnaz Davoodi Michael Bowling Marc Lanctot Martin Schmid 37 3 0 02 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska Xiantong Zhen M. Worring VLM 26 18 0 28 Feb 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 35 47 0 27 Feb 2023
A Meta-Learning Approach to Population-Based Modelling of Structures G. Tsialiamanis N. Dervilis D. Wagg K. Worden 18 0 0 15 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 67 353 0 13 Feb 2023
Unified Functional Hashing in Automatic Machine Learning Ryan Gillard S. Jonany Yingjie Miao Michael Munn Connal de Souza Jonathan Dungay Chen Liang David R. So Quoc V. Le Esteban Real 26 2 0 10 Feb 2023
Learning to Optimize for Reinforcement Learning Qingfeng Lan Rupam Mahmood Shuicheng Yan Zhongwen Xu OffRL 31 6 0 03 Feb 2023
Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain K. Choromanski Kumar Avinava Dubey Sumeet Singh Vikas Sindhwani Tingnan Zhang Jie Tan OffRL 39 9 0 02 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 35 30 0 02 Feb 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 109 0 18 Jan 2023
Unpacking the "Black Box" of AI in Education Nabeel Gillani R. Eynon Catherine Chiabaut Kelsey Finkel 36 58 0 31 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 46 72 0 08 Dec 2022
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 27 22 0 05 Dec 2022
Transformer-Based Learned Optimization Erik Gartner Luke Metz Mykhaylo Andriluka C. Freeman C. Sminchisescu 23 11 0 02 Dec 2022
Learning to Optimize with Dynamic Mode Decomposition Petr Simánek Daniel Vasata Pavel Kordík 31 5 0 29 Nov 2022
SparsePose: Sparse-View Camera Pose Regression and Refinement Samarth Sinha Jason Y. Zhang Andrea Tagliasacchi Igor Gilitschenski David B. Lindell 29 42 0 29 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection Xiaonan Lu Wenhui Diao Yongqiang Mao Junxi Li Peijin Wang Xian Sun Kun Fu ObjD 35 33 0 27 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 28 2 0 22 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Tom Zahavy Valenti Dallibard Chris Xiaoxuan Lu Satinder Singh Sebastian Flennerhag 44 47 0 21 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 35 60 0 17 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 45 9 0 14 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek F. Abdelzaher Jiawei Han VLM 64 47 0 06 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 49 6 0 02 Nov 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 38 0 0 31 Oct 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking Julius Ott Lorenzo Servadei Gianfranco Mauro Thomas Stadelmayer Avik Santra Robert Wille OOD UQCV 39 3 0 26 Oct 2022
Deep domain adaptation for polyphonic melody extraction Kavya Ranjan Saxena Vipul Arora 29 0 0 22 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 16 1 0 12 Oct 2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling Ruiyuan Kang D. Kyritsis P. Liatsis AI4CE PINN 16 5 0 12 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 53 51 0 04 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 57 75 0 04 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 32 7 0 27 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 75 65 0 26 Sep 2022
A Neural Template Matching Method to Detect Knee Joint Areas Juha Tiirola MedIm 11 1 0 23 Sep 2022