Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization Quanqi Hu Zimeng Qiu Zhishuai Guo Lijun Zhang Tianbao Yang 47 5 0 30 May 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization Chen Fan Gaspard Choné-Ducasse Mark Schmidt Christos Thrampoulidis 83 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 132 8 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 70 14 0 27 May 2023
Test like you Train in Implicit Deep Learning Zaccharie Ramzi Pierre Ablin Gabriel Peyré Thomas Moreau 97 3 0 24 May 2023
Effective Bilevel Optimization via Minimax Reformulation Xiaoyu Wang Boyao Wang Renjie Pi Tong Zhang 82 1 0 22 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning Zhenrui Yue Huimin Zeng Yang Zhang Lanyu Shang Dong Wang 79 17 0 22 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 112 2 0 20 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 83 14 0 16 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 70 5 0 12 May 2023
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula Boling Yang Liyuan Zheng Lillian J. Ratliff Byron Boots Joshua R. Smith 75 5 0 04 May 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 81 6 0 27 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition Yanan Wu Songhe Feng Yang Wang 60 11 0 21 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
Meta Compositional Referring Expression Segmentation Li Xu Mark He Huang Xindi Shang Zehuan Yuan Ying Sun Jun Liu 99 23 0 10 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 78 1 0 06 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 80 16 0 04 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 84 45 0 03 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 82 11 0 31 Mar 2023
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models Dohwan Ko Joon-Young Choi Hyeong Kyu Choi Kyoung-Woon On Byungseok Roh Hyunwoo J. Kim 121 23 0 23 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 135 4 0 20 Mar 2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI Nikhil J. Dhinagar Vignesh Santhalingam Katherine E. Lawrence Emily Laltoo Paul M. Thompson 60 4 0 14 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 106 58 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 74 5 0 12 Mar 2023
Multi-task Meta Label Correction for Time Series Prediction Luxuan Yang Ting Gao Wei Wei Min Dai Cheng Fang Jinqiao Duan AI4TS 114 4 0 09 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 80 61 0 06 Mar 2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming Francesco Alesiani 46 4 0 28 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 117 10 0 23 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation Ryuichiro Hataya M. Yamada ODL 85 9 0 20 Feb 2023
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization Mathieu Dagréou Thomas Moreau Samuel Vaiter Pierre Ablin 109 12 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 91 13 0 16 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 79 35 0 16 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 84 42 0 13 Feb 2023
Hierarchical Optimization-Derived Learning Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 85 3 0 11 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 74 11 0 09 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity Risheng Liu Yaohua Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 102 24 0 07 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 72 5 0 05 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 78 20 0 03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 100 1 0 02 Feb 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 91 9 0 01 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian Aviv Navon Neta Glazer Kenji Kawaguchi Gal Chechik Ethan Fetaya 85 8 0 31 Jan 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 95 5 0 30 Jan 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 225 0 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 92 52 0 28 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 52 2 0 26 Jan 2023
A Fully First-Order Method for Stochastic Bilevel Optimization Jeongyeol Kwon Dohyun Kwon S. Wright Robert D. Nowak 103 78 0 26 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 71 6 0 17 Jan 2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning Hao Wang Pan Li 63 18 0 08 Jan 2023
First-order penalty methods for bilevel optimization Zhaosong Lu Sanyou Mei 129 36 0 04 Jan 2023