Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Efficiently Escaping Saddle Points in Bilevel Optimization Minhui Huang Xuxing Chen Kaiyi Ji Shiqian Ma Lifeng Lai 92 21 0 08 Feb 2022
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start Riccardo Grazzi Massimiliano Pontil Saverio Salzo 99 13 0 07 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 142 65 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
COIN++: Neural Compression Across Modalities Emilien Dupont H. Loya Milad Alizadeh Adam Goliñski Yee Whye Teh Arnaud Doucet 140 90 0 30 Jan 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 61 13 0 17 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning Yuying Ge Yibing Song Ruimao Zhang Ping Luo VGen DiffM 42 0 0 13 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 72 7 0 10 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 162 11 0 28 Dec 2021
Lyapunov Exponents for Diversity in Differentiable Games Jonathan Lorraine Paul Vicol Jack Parker-Holder Tal Kachman Luke Metz Jakob N. Foerster 64 7 0 24 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 108 89 0 23 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 55 63 0 13 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 78 4 0 10 Dec 2021
Few-Shot Image Classification Along Sparse Graphs Joseph F. Comer P. Jacobson Heiko Hoffmann 84 1 0 07 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 64 7 0 06 Dec 2021
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning Hanbyel Cho Yooshin Cho Jaemyung Yu Junmo Kim 3DH 41 15 0 30 Nov 2021
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 184 60 0 29 Nov 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 92 19 0 25 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 104 22 0 23 Nov 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 87 2 0 19 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 111 93 0 10 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 125 72 0 09 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 85 5 0 05 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 79 31 0 02 Nov 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 75 48 0 27 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 92 19 0 26 Oct 2021
Projection-Free Algorithm for Stochastic Bi-level Optimization Zeeshan Akhtar Amrit Singh Bedi Srujan Teja Thomdapu K. Rajawat 84 13 0 22 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 77 1 0 22 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 117 99 0 19 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 69 4 0 16 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 327 163 0 15 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 103 28 0 13 Oct 2021
Value-Function-based Sequential Minimization for Bi-level Optimization Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 106 32 0 11 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 89 43 0 09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 87 104 0 08 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 165 180 0 07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 118 35 0 06 Oct 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence Boyi Liu Jiayang Li Zhuoran Yang Hoi-To Wai Mingyi Hong Y. Nie Zhaoran Wang 146 20 0 04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 85 27 0 02 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 113 83 0 01 Oct 2021
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation Sangwoo Park Osvaldo Simeone 110 8 0 01 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 113 5 0 27 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 99 42 0 25 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 88 17 0 15 Sep 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery Paul Michel Ameet Talwalkar Graham Neubig CLL 106 35 0 15 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 123 142 0 09 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 61 3 0 04 Sep 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 95 0 0 24 Aug 2021
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation Xidong Feng Chong Chen Dong Li Mengchen Zhao Jianye Hao Jun Wang OffRL 74 24 0 24 Aug 2021
Self-Supervised Video Representation Learning with Meta-Contrastive Network Yuanze Lin Xun Guo Yan Lu SSL 71 41 0 19 Aug 2021