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
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 49 22 0 22 Sep 2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems Daniel G. McClement Nathan P. Lawrence M. Forbes Philip D. Loewen Johan U. Backstrom R. Bhushan Gopaluni OffRL 22 1 0 19 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022
Meta-Gradients in Non-Stationary Environments Jelena Luketina Sebastian Flennerhag Yannick Schroecker David Abel Tom Zahavy Satinder Singh 31 10 0 13 Sep 2022
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions Egor Burkov Ruslan Rakhimov Aleksandr Safin Evgeny Burnaev Victor Lempitsky 3DH 29 7 0 07 Sep 2022
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate Folding Landscape and Protein Structure Prediction Jun Zhang Sirui Liu Mengyun Chen Haotian Chu Min Wang ... Yuqing Yang Boxin Xue Lijiang Yang Yuan Liu Y. Gao 28 5 0 20 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization Deepak Maurya Adarsh Barik Jean Honorio OOD AAML 43 0 0 19 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 38 3 0 03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 52 8 0 02 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 98 35 0 24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 24 13 0 24 Jul 2022
Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge Yao Xiao Zhi-Qin John Xu X. Wang Laurent Itti 3DH 16 26 0 19 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 30 43 0 12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 16 8 0 12 Jul 2022
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 21 3 0 05 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 69 58 0 02 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 44 3 0 25 Jun 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 38 8 0 17 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 16 0 0 16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 41 50 0 14 Jun 2022
Unsupervised Learning of the Total Variation Flow T. G. Grossmann Sören Dittmer Yury Korolev Carola-Bibiane Schönlieb 33 3 0 09 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 46 9 0 07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 31 9 0 04 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 34 36 0 27 May 2022
DOGE-Train: Discrete Optimization on GPU with End-to-end Training Ahmed Abbas Paul Swoboda 38 6 0 23 May 2022
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling Jiyuan Cao Zhilei Liu Yong Zhang ViT 29 2 0 18 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 54 345 0 13 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 24 20 0 28 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 24 2 0 28 Apr 2022
Meta-AF: Meta-Learning for Adaptive Filters Jonah Casebeer Nicholas J. Bryan Paris Smaragdis 168 28 0 25 Apr 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 29 11 0 18 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 26 6 0 11 Apr 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 23 1 0 29 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 23 5 0 25 Mar 2022
Practical tradeoffs between memory, compute, and performance in learned optimizers Luke Metz C. Freeman James Harrison Niru Maheswaranathan Jascha Narain Sohl-Dickstein 41 32 0 22 Mar 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 29 18 0 19 Mar 2022
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach Daniel G. McClement Nathan P. Lawrence Johan U. Backstrom Philip D. Loewen M. Forbes R. Bhushan Gopaluni OffRL 24 22 0 17 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 37 45 0 17 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 45 19 0 13 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu ... F. Patella Elvira Stellato G. Carrafiello Vishal M. Patel H. Roth OOD FedML 28 32 0 12 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 36 157 0 07 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 27 6 0 05 Mar 2022
Amortized Proximal Optimization Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 29 14 0 28 Feb 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 29 7 0 28 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 34 7 0 25 Feb 2022
Teaching Networks to Solve Optimization Problems Xinran Liu Yuzhe Lu Ali Abbasi Meiyi Li Javad Mohammadi Soheil Kolouri 44 11 0 08 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 25 11 0 03 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 20 7 0 01 Feb 2022