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 / 361 papers shown

Title
QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization Yueh-Cheng Liu Lukas Höllein Matthias Nießner Angela Dai 3DGS 29 0 0 08 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 48 0 0 07 May 2025
Approximating Nash Equilibria in General-Sum Games via Meta-Learning David Sychrovský Christopher Solinas Revan MacQueen Kevin Wang James Wright Nathan R Sturtevant Michael Bowling 21 0 0 26 Apr 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 53 0 0 24 Feb 2025
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization Maxence Faldor Robert Tjarko Lange Antoine Cully 81 0 0 04 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 81 1 0 28 Jan 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 58 0 0 28 Jan 2025
Learning Versatile Optimizers on a Compute Diet A. Moudgil Boris Knyazev Guillaume Lajoie Eugene Belilovsky 168 0 0 22 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 100 7 0 17 Jan 2025
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation Jimeng Shi Zeda Yin Arturo S. Leon J. Obeysekera Giri Narasimhan AI4CE 36 1 0 08 Jan 2025
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Wei Lin Qingyu Song Hong Xu 94 1 0 25 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 104 2 0 01 Nov 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 38 0 0 25 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 54 2 0 18 Oct 2024
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu Ruida Zhou Cong Shen Jing Yang 30 0 0 17 Oct 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 51 0 0 10 Oct 2024
Differentially Private Bilevel Optimization Guy Kornowski 162 0 0 29 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 54 5 0 18 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 30 1 0 05 Sep 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 57 0 0 13 Aug 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo Dongha Lee Jinyoung Yeo CLL KELM 90 1 0 24 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 44 0 0 20 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 87 4 0 15 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 63 92 0 05 Jul 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 65 1 0 28 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization Zexi Li Lingzhi Gao Chao Wu AI4CE DiffM 55 3 0 23 May 2024
Deep Learning with Parametric Lenses Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi 33 2 0 30 Mar 2024
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 29 2 0 10 Feb 2024
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent Kaan Ozkara Can Karakus Parameswaran Raman Mingyi Hong Shoham Sabach B. Kveton V. Cevher 27 2 0 17 Jan 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 54 10 0 08 Jan 2024
MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Müller Carlo Curino Raghu Ramakrishnan LMTD 45 2 0 14 Dec 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 26 0 0 29 Oct 2023
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes Minh Nguyen G. Ngo M. Sabuncu 22 2 0 21 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 31 3 0 19 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 37 16 0 30 Sep 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 23 1 0 26 Sep 2023
Training neural mapping schemes for satellite altimetry with simulation data Q. Febvre Julien Le Sommer C. Ubelmann Ronan Fablet 11 9 0 19 Sep 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 36 5 0 19 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 30 23 0 03 Jul 2023
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks Jacob D. Abernethy Alekh Agarwal T. V. Marinov Manfred K. Warmuth 26 17 0 26 May 2023
Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao Robert Mansel Gower Robin Walters Rose Yu MoMe 33 13 0 22 May 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 25 0 0 19 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 19 3 0 17 May 2023
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
Learning To Optimize Quantum Neural Network Without Gradients Ankit Kulshrestha Xiaoyuan Liu Hayato Ushijima-Mwesigwa Ilya Safro 25 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 39 3 0 09 Apr 2023