Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning Yuying Ge Yibing Song Ruimao Zhang Ping Luo VGen DiffM 25 0 0 13 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 24 6 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 41 10 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 35 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 41 86 0 23 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 28 60 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 28 4 0 10 Dec 2021
Few-Shot Image Classification Along Sparse Graphs Joseph F. Comer P. Jacobson Heiko Hoffmann 13 1 0 07 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 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 25 15 0 30 Nov 2021
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 105 58 0 29 Nov 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 34 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 46 21 0 23 Nov 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 33 2 0 19 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 30 93 0 10 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 72 69 0 09 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 33 5 0 05 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 29 30 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 33 47 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 23 19 0 26 Oct 2021
Projection-Free Algorithm for Stochastic Bi-level Optimization Zeeshan Akhtar Amrit Singh Bedi Srujan Teja Thomdapu K. Rajawat 35 13 0 22 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 12 1 0 22 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 93 0 19 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 20 4 0 16 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 238 158 0 15 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 28 28 0 13 Oct 2021
Value-Function-based Sequential Minimization for Bi-level Optimization Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 40 30 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 32 40 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 21 97 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 31 173 0 07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 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 71 18 0 04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 36 26 0 02 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 35 80 0 01 Oct 2021
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation Sangwoo Park Osvaldo Simeone 47 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 56 4 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 37 38 0 25 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 61 16 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 36 35 0 15 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 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 39 3 0 04 Sep 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 37 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 21 23 0 24 Aug 2021
Self-Supervised Video Representation Learning with Meta-Contrastive Network Yuanze Lin Xun Guo Yan Lu SSL 27 41 0 19 Aug 2021
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing Aritra Ghosh Andrew Lan 16 33 0 17 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 65 18 0 11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 26 14 0 03 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 32 12 0 02 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021