Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis Jie Hao Xiaochuan Gong Mingrui Liu 108 8 0 17 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 122 14 0 11 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 67 0 0 10 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou OffRL 103 8 0 09 Jan 2024
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent Yilang Zhang Bingcong Li G. Giannakis 89 0 0 20 Dec 2023
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks Mrinal Mathur Sergey Plis AI4CE 57 1 0 20 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 83 3 0 15 Dec 2023
Accelerating Meta-Learning by Sharing Gradients Oscar Chang Hod Lipson 88 0 0 13 Dec 2023
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization Heejun Shin Taehee Kim Jongho Lee S. Chun Seungryung Cho Dongmyung Shin 98 0 0 04 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers Matthieu Terris Thomas Moreau 80 1 0 30 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss Zezhou Wang Guitao Cao Xidong Xi Jiangtao Wang 143 0 0 25 Nov 2023
On the Communication Complexity of Decentralized Bilevel Optimization Yihan Zhang My T. Thai Jie Wu Hongchang Gao 121 4 0 19 Nov 2023
A Single-Loop Algorithm for Decentralized Bilevel Optimization Youran Dong Shiqian Ma Junfeng Yang Chao Yin 91 8 0 15 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 98 12 0 09 Nov 2023
Meta-Learning Strategies through Value Maximization in Neural Networks Rodrigo Carrasco-Davis Javier Masís Andrew M. Saxe 68 1 0 30 Oct 2023
Behavior Alignment via Reward Function Optimization Dhawal Gupta Yash Chandak Scott M. Jordan Philip S. Thomas Bruno Castro da Silva 108 11 0 29 Oct 2023
Contextual Stochastic Bilevel Optimization Yifan Hu Jie Wang Yao Xie Andreas Krause Daniel Kuhn 104 14 0 27 Oct 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 65 1 0 26 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization Zixin Ding Si-An Chen Ruoxi Jia Yuxin Chen 70 1 0 25 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 93 12 0 10 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 50 0 0 09 Oct 2023
Making Scalable Meta Learning Practical Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie Emma Strubell Eric Xing 115 16 0 09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning Junhoo Lee Jayeon Yoo Nojun Kwak 68 2 0 04 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 80 9 0 01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu Yaqing Wang Quanming Yao 66 4 0 01 Oct 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise Jeroen Galjaard Robert Birke Juan F. Pérez Lydia Y. Chen NoLa 79 0 0 12 Sep 2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation Jeongyeol Kwon Dohyun Kwon Steve Wright Robert D. Nowak 96 30 0 04 Sep 2023
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 99 17 0 29 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 94 3 0 25 Aug 2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction Qi Li Ziyi Shen Qian Li D. Barratt T. Dowrick Matthew J. Clarkson Tom Vercauteren Yipeng Hu 42 1 0 20 Aug 2023
Differentiable Robust Model Predictive Control Alex Oshin Hassan Almubarak Evangelos A. Theodorou 60 6 0 16 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 80 2 0 16 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond Chen Shuai Meng Fanman Runtong Zhang Heqian Qiu Hongliang Li Wu Qingbo Xu Linfeng VLM 86 14 0 15 Aug 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem Jincheng Cao Ruichen Jiang Nazanin Abolfazli Erfan Yazdandoost Hamedani Aryan Mokhtari 140 9 0 15 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing Milad Ramezankhani A. Milani PINN 58 6 0 12 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 98 9 0 05 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 115 31 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 100 2 0 01 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 137 46 0 31 Jul 2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 73 9 0 28 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 108 11 0 18 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 96 79 0 10 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 65 0 0 29 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma J.N. Zhang 133 2 0 26 Jun 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions Xuxing Chen Tesi Xiao Krishnakumar Balasubramanian 102 26 0 21 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 77 0 0 16 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 58 1 0 14 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong Yi Zeng Shuyang Yu Lingjuan Lyu R. Jia Jiayu Zhou AAML 57 9 0 04 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang Yu Zhang James T. Kwok VLM OffRL 94 18 0 01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 90 17 0 30 May 2023