Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing Aritra Ghosh Andrew Lan 107 35 0 17 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 139 20 0 11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 70 45 0 09 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 65 14 0 03 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 98 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 90 19 0 29 Jul 2021
A novel meta-learning initialization method for physics-informed neural networks Xu Liu Xiaoya Zhang Wei Peng Weien Zhou Wen Yao AI4CE 73 76 0 23 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 124 89 0 16 Jul 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 95 106 0 12 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 79 8 0 06 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 79 20 0 02 Jul 2021
Few-shot Learning for Unsupervised Feature Selection Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara SSL 52 3 0 02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 144 10 0 02 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 101 53 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 113 50 0 30 Jun 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Saunshi Arushi Gupta Wei Hu SSL 108 17 0 29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 48 17 0 29 Jun 2021
Representation based meta-learning for few-shot spoken intent recognition Ashish R. Mittal Samarth Bharadwaj Shreya Khare Saneem A. Chemmengath Karthik Sankaranarayanan Brian Kingsbury 62 12 0 29 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Juan-Manuel Perez-Rua Victor Escorcia Vladimir Araujo Juan Carlos Niebles Alvaro Soto 71 0 0 21 Jun 2021
Graceful Degradation and Related Fields J. Dymond 77 4 0 21 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang Steven W. Su Shirui Pan Xiaojun Chang Ehsan Abbasnejad Reza Haffari 99 69 0 21 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 31 4 0 20 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 95 20 0 19 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 112 90 0 16 Jun 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 83 80 0 15 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 102 11 0 09 Jun 2021
Provably Faster Algorithms for Bilevel Optimization Junjie Yang Kaiyi Ji Yingbin Liang 112 136 0 08 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 96 38 0 06 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation Rabindra Khadka Debesh Jha Steven Hicks Vajira Thambawita Michael A. Riegler Sharib Ali Pål Halvorsen 73 49 0 06 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 103 9 0 05 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 103 3 0 04 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 114 56 0 04 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 79 5 0 04 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 39 3 0 03 Jun 2021
Efficient and Modular Implicit Differentiation Mathieu Blondel Quentin Berthet Marco Cuturi Roy Frostig Stephan Hoyer Felipe Llinares-López Fabian Pedregosa Jean-Philippe Vert 120 238 0 31 May 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 37 4 0 31 May 2021
Optimization Induced Equilibrium Networks Xingyu Xie Qiuhao Wang Zenan Ling Xia Li Yisen Wang Guangcan Liu Zhouchen Lin 75 9 0 27 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 142 440 0 24 May 2021
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods Christopher Zach FedML 30 5 0 15 May 2021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning Thomas Goerttler Klaus Obermayer 57 4 0 12 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 37 5 0 08 May 2021
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization Zhishuai Guo Quan Hu Lijun Zhang Tianbao Yang 144 31 0 05 May 2021
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua Qi Lei Jason D. Lee 97 50 0 05 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 99 28 0 04 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators Yue Guo Felix Dietrich Tom S. Bertalan Danimir T. Doncevic Manuel Dahmen Ioannis G. Kevrekidis Qianxiao Li 77 11 0 04 May 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 60 7 0 21 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 95 7 0 15 Apr 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 118 19 0 04 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Jianmin Wang M. Mahdavi FaML 96 11 0 04 Apr 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 69 43 0 26 Mar 2021