Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 32 8 0 18 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 30 42 0 16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 41 8 0 15 Jun 2022
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models Louis Sharrock 28 2 0 14 Jun 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L. Gao J. Ye Haian Yin Shangzhi Zeng Jin Zhang 32 24 0 13 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 26 78 0 08 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 31 9 0 04 Jun 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning Arnav Chavan Rishabh Tiwari Udbhav Bamba D. K. Gupta 49 5 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 58 151 0 01 Jun 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 31 19 0 31 May 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 34 22 0 31 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 25 1 0 30 May 2022
Will Bilevel Optimizers Benefit from Loops Kaiyi Ji Mingrui Liu Yingbin Liang Lei Ying 45 41 0 27 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 45 28 0 26 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees Risheng Liu Xuan Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 28 3 0 20 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang 50 9 0 20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
Meta Balanced Network for Fair Face Recognition Mei Wang Yaobin Zhang Weihong Deng CVBM 19 74 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 31 6 0 13 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 36 15 0 06 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 27 61 0 05 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen Austin Tripp José Miguel Hernández-Lobato 22 23 0 05 May 2022
Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro Edward Schmerling Nikos Arechiga Marco Pavone 35 3 0 04 May 2022
Learning Value Functions from Undirected State-only Experience Matthew Chang Arjun Gupta Saurabh Gupta OffRL 23 8 0 26 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 24 0 14 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 24 0 0 01 Apr 2022
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization Ziyi Chen B. Kailkhura Yi Zhou 26 8 0 30 Mar 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients Kaidong Li Ziming Zhang Cuncong Zhong Guanghui Wang 3DPC 34 25 0 29 Mar 2022
Efficient Few-Shot Object Detection via Knowledge Inheritance Ze Yang Chi Zhang Ruibo Li Yi Tian Xu Guosheng Lin VLM 27 33 0 23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 32 27 0 21 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 35 27 0 17 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation Ben Evans Abitha Thankaraj Lerrel Pinto 47 20 0 10 Mar 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning Zhenhailong Wang Hangyeol Yu Manling Li Han Zhao Heng Ji VLM 28 0 0 09 Mar 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning Keqian Li Yifan Hu Logan Palanisamy Lisa Jones A. Gupta J. E. Grigsby Ili Selinger Matt Gillingham Fei Tan 28 1 0 09 Mar 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Michael Everett Chuangchuang Sun Gerald Tesauro Jonathan P. How 36 0 0 07 Mar 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features Florian Lux Ngoc Thang Vu 30 29 0 07 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 37 16 0 06 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 51 10 0 03 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation T. Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon 31 18 0 02 Mar 2022
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima Daouda Sow Kaiyi Ji Ziwei Guan Yingbin Liang 37 9 0 01 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 36 7 0 25 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zhuoxiao Chen Zi Huang Mahsa Baktashmotlagh AI4CE 49 30 0 13 Feb 2022
Efficiently Escaping Saddle Points in Bilevel Optimization Minhui Huang Xuxing Chen Kaiyi Ji Shiqian Ma Lifeng Lai 34 21 0 08 Feb 2022
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start Riccardo Grazzi Massimiliano Pontil Saverio Salzo 33 12 0 07 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 28 58 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
COIN++: Neural Compression Across Modalities Emilien Dupont H. Loya Milad Alizadeh Adam Goliñski Yee Whye Teh Arnaud Doucet 63 83 0 30 Jan 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 24 12 0 17 Jan 2022