Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 13 7 0 16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons P. Micaelli Amos Storkey 13 15 0 15 Jul 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 18 135 0 10 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer Daniel D. Johnson Hugo Larochelle Daniel Tarlow GNN AI4CE 19 17 0 09 Jul 2020
Covariate Distribution Aware Meta-learning Amrith Rajagopal Setlur Saket Dingliwal Barnabás Póczós OOD BDL 37 0 0 06 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 24 54 0 02 Jul 2020
Uniform Priors for Data-Efficient Transfer Samarth Sinha Karsten Roth Anirudh Goyal Marzyeh Ghassemi Hugo Larochelle Animesh Garg OOD 21 0 0 30 Jun 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 48 193 0 29 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets Haoxiang Wang Ruoyu Sun Bo Li MLT AI4CE 27 14 0 25 Jun 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 22 6 0 24 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 22 43 0 23 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 28 59 0 22 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 19 4 0 22 Jun 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 33 16 0 21 Jun 2020
Meta Learning in the Continuous Time Limit Ruitu Xu Lin Chen Amin Karbasi 14 14 0 19 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 17 34 0 18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 33 247 0 17 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 34 32 0 16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 26 74 0 16 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 32 130 0 15 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Proximal Mapping for Deep Regularization Mao Li Yingyi Ma Xinhua Zhang 28 3 0 14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 16 8 0 13 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning Kiran Lekkala Laurent Itti OOD 24 7 0 12 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 27 34 0 11 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning Jin-Hwa Kim Junyoung Park Yongseok Choi 22 1 0 08 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 14 129 0 07 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
When Does MAML Objective Have Benign Landscape? Igor Molybog Javad Lavaei 6 7 0 31 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 24 192 0 28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 27 55 0 28 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 32 22 0 20 May 2020
Meta-Learning for Few-Shot Land Cover Classification M. Rußwurm Sherrie Wang Marco Körner David B. Lobell 17 83 0 28 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 14 127 0 16 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 87 1,935 0 11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning Nannapas Banluesombatkul Pichayoot Ouppaphan Pitshaporn Leelaarporn Payongkit Lakhan Busarakum Chaitusaney ... E. Chuangsuwanich Wei Chen Huy Phan Nat Dilokthanakul Theerawit Wilaiprasitporn 27 1 0 08 Apr 2020
Learning Meta Face Recognition in Unseen Domains Jianzhu Guo Xiangyu Zhu Chenxu Zhao Dong Cao Zhen Lei Stan Z. Li CVBM OOD 22 142 0 17 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 26 110 0 15 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 30 46 0 11 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 192 0 09 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 71 89 0 06 Mar 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization Shihao Jiang Dylan Campbell Miaomiao Liu Stephen Gould Richard I. Hartley MDE 6 9 0 26 Feb 2020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning Nikunj Saunshi Yi Zhang M. Khodak Sanjeev Arora 8 27 0 25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 23 60 0 24 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao Song Sham Kakade Sewoong Oh 35 65 0 20 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 6 6 0 20 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 28 49 0 18 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 33 22 0 12 Feb 2020
On Parameter Tuning in Meta-learning for Computer Vision F. Mohammadi M. Amini H. Arabnia 8 13 0 11 Feb 2020