Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 35 3 0 15 Dec 2023
Accelerating Meta-Learning by Sharing Gradients Oscar Chang Hod Lipson 31 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 31 0 0 04 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers M. Terris Thomas Moreau 29 0 0 30 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss Zezhou Wang Guitao Cao Xidong Xi Jiangtao Wang 19 0 0 25 Nov 2023
On the Communication Complexity of Decentralized Bilevel Optimization Yihan Zhang My T. Thai Jie Wu Hongchang Gao 20 3 0 19 Nov 2023
A Single-Loop Algorithm for Decentralized Bilevel Optimization Youran Dong Shiqian Ma Junfeng Yang Chao Yin 39 7 0 15 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 40 11 0 09 Nov 2023
Meta-Learning Strategies through Value Maximization in Neural Networks Rodrigo Carrasco-Davis Javier Masís Andrew M. Saxe 27 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 31 10 0 29 Oct 2023
Contextual Stochastic Bilevel Optimization Yifan Hu Jie Wang Yao Xie Andreas Krause Daniel Kuhn 34 12 0 27 Oct 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 27 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 43 1 0 25 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 45 12 0 10 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 23 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 55 15 0 09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning Junhoo Lee Jayeon Yoo Nojun Kwak 30 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 24 9 0 01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu Yaqing Wang Quanming Yao 27 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 24 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 34 25 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 18 11 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 19 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 Kamiel Magda Vercauteren Yipeng Hu 19 1 0 20 Aug 2023
Differentiable Robust Model Predictive Control Alex Oshin Hassan Almubarak Evangelos A. Theodorou 17 5 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 34 1 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 30 12 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 84 8 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 24 4 0 12 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 30 8 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 49 26 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 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 42 44 0 31 Jul 2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 40 9 0 28 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Wenwen Qiang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 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 29 70 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 43 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 86 2 0 26 Jun 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions Xuxing Chen Tesi Xiao Krishnakumar Balasubramanian 27 24 0 21 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 29 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 30 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 13 8 0 04 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang Yu Zhang James T. Kwok VLM OffRL 52 17 0 01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 26 14 0 30 May 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization Quanqi Hu Zimeng Qiu Zhishuai Guo Lijun Zhang Tianbao Yang 21 5 0 30 May 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization Chen Fan Gaspard Choné-Ducasse Mark W. Schmidt Christos Thrampoulidis 27 3 0 30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 49 7 0 28 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
Test like you Train in Implicit Deep Learning Zaccharie Ramzi Pierre Ablin Gabriel Peyré Thomas Moreau 38 3 0 24 May 2023
Effective Bilevel Optimization via Minimax Reformulation Xiaoyu Wang Rui Pan Renjie Pi Tong Zhang 42 1 0 22 May 2023