Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network Hongchang Gao Bin Gu My T. Thai 88 17 0 30 Jun 2022
Prompting Decision Transformer for Few-Shot Policy Generalization Mengdi Xu Songlin Yang Shun Zhang Yuchen Lu Ding Zhao J. Tenenbaum Chuang Gan OffRL 96 150 0 27 Jun 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 80 15 0 27 Jun 2022
Leveraging Language for Accelerated Learning of Tool Manipulation Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar LM&Ro 90 36 0 27 Jun 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 69 46 0 21 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard Turner VLM 72 10 0 20 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 106 10 0 18 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 90 42 0 16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 76 8 0 15 Jun 2022
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models Louis Sharrock 108 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 84 24 0 13 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 60 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 111 84 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 83 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 81 5 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 102 161 0 01 Jun 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 115 20 0 31 May 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 108 23 0 31 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 71 1 0 30 May 2022
Will Bilevel Optimizers Benefit from Loops Kaiyi Ji Mingrui Liu Yingbin Liang Lei Ying 99 41 0 27 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 103 28 0 26 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 77 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 50 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 101 11 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 128 390 0 13 May 2022
Meta Balanced Network for Fair Face Recognition Mei Wang Yaobin Zhang Weihong Deng CVBM 68 81 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 78 6 0 13 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 99 16 0 06 May 2022
Generating Representative Samples for Few-Shot Classification Aoxiang Fan Hieu M. Le VLM 109 65 0 05 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Jiajun He Austin Tripp José Miguel Hernández-Lobato 66 23 0 05 May 2022
Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro Edward Schmerling Nikos Arechiga Marco Pavone 47 3 0 04 May 2022
Learning Value Functions from Undirected State-only Experience Matthew Chang Arjun Gupta Saurabh Gupta OffRL 59 8 0 26 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 77 26 0 14 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 98 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 84 9 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 78 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 103 35 0 23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 103 29 0 21 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Yue Liu 86 28 0 17 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation Ben Evans Abitha Thankaraj Lerrel Pinto 70 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 40 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 69 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 147 0 0 07 Mar 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features Florian Lux Ngoc Thang Vu 99 29 0 07 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 80 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 113 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 90 19 0 02 Mar 2022
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima Daouda Sow Kaiyi Ji Ziwei Guan Yingbin Liang 102 9 0 01 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 85 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 97 34 0 13 Feb 2022