Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Detecting Sockpuppetry on Wikipedia Using Meta-Learning Luc Raszewski Christine De Kock 120 0 0 12 Jun 2025
You Only Train Once Christos Sakaridis 36 0 0 04 Jun 2025
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Junnan Liu Hongwei Liu Linchen Xiao Shudong Liu Taolin Zhang Zihan Ma Songyang Zhang Kai Chen LRM 123 0 0 26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models Boyan Gao Xin Wang Yibo Yang David A. Clifton 61 0 0 25 May 2025
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex Muquan Yu Mu Nan Hossein Adeli Jacob S. Prince John A. Pyles Leila Wehbe Margaret M. Henderson Michael J. Tarr Andrew F. Luo MedIm ViT 90 0 0 21 May 2025
Bi-Level Policy Optimization with Nyström Hypergradients Arjun Prakash Naicheng He Denizalp Goktas Amy Greenwald 73 0 0 16 May 2025
Hand-Shadow Poser Hao Xu Yinqiao Wang Niloy J. Mitra Shuaicheng Liu Pheng-Ann Heng Chi-Wing Fu 3DH 95 0 0 11 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery Abhijit Gupta 185 0 0 11 May 2025
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong Junfeng Yang Wei-Ting Yao Jin Zhang 458 0 0 04 May 2025
Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev Dan A. Calian Luisa M. Zintgraf Gregory Farquhar H. V. Hasselt 112 1 0 01 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 176 0 0 27 Apr 2025
Improving Learning to Optimize Using Parameter Symmetries Guy Zamir Aryan Dokania B. Zhao Rose Yu 80 2 0 21 Apr 2025
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection Long Qian Bingke Zhu Yingying Chen Ming Tang Jinqiao Wang 81 0 0 17 Apr 2025
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition Hongyu Qu Ling Xing Rui Yan Yazhou Yao G. Xie Xiangbo Shu 75 0 0 14 Apr 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bulent Sariyildiz Philippe Weinzaepfel Thomas Lucas Pau de Jorge Diane Larlus Yannis Kalantidis 110 0 0 18 Mar 2025
Riemannian Geometric-based Meta Learning JuneYoung Park YuMi Lee Tae Joon Kim Jang-Hwan Choi 87 0 0 14 Mar 2025
Meta-learning characteristics and dynamics of quantum systems Lucas Schorling Pranav Vaidhyanathan Jonas Schuff M. J. Carballido D. Zumbuhl Gerard Milburn Florian Marquardt Jakob Foerster Michael A. Osborne N. Ares AI4CE 82 2 0 13 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 105 2 0 10 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 135 0 0 05 Mar 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Pranav Vaidhyanathan Aristotelis Papatheodorou Mark T. Mitchison Natalia Ares Ioannis Havoutis PINN AI4CE 152 1 0 23 Feb 2025
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training Reza Shirkavand Qi He Peiran Yu Heng-Chiao Huang ALM 104 0 0 05 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization Sheng Fang Yong Liu Wei-Ting Yao Chengming Yu Jin Zhang 160 0 0 03 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 162 10 0 28 Jan 2025
One-Class Domain Adaptation via Meta-Learning Stephanie Holly T. Bierweiler Stefan von Dosky Ahmed Frikha C. Heitzinger Jana Eder 177 0 0 22 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 125 1 0 20 Jan 2025
On Penalty-based Bilevel Gradient Descent Method Han Shen Quan-Wu Xiao Tianyi Chen 138 59 0 08 Jan 2025
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 139 5 0 31 Dec 2024
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 130 0 0 31 Dec 2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 94 0 0 23 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence Honglin Yang Ji Ma Xiao Yu 131 0 0 16 Dec 2024
Exploring the Generalization Capabilities of AID-based Bi-level Optimization C. L. Philip Chen Li Shen Zhiqiang Xu Wen Liu Zhi-Quan Luo Peilin Zhao 125 1 0 25 Nov 2024
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Jingyao Wang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 111 0 0 11 Nov 2024
Learning Where to Edit Vision Transformers Yunqiao Yang Long-Kai Huang Shengzhuang Chen Kede Ma Ying Wei KELM 91 1 0 04 Nov 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 121 3 0 30 Oct 2024
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 108 0 0 25 Oct 2024
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 115 1 0 21 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao Tianyu Pang Chao Du Taihang Hu Zhijie Deng Min Lin DiffM 93 11 0 16 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations Shen Fan Przemyslaw Musialski AI4CE 87 0 0 16 Oct 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach Yuntian Gu Xuzheng Chen 76 0 0 15 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 125 0 0 14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation Peijia Qin Ruiyi Zhang Pengtao Xie 62 2 0 13 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu Minghui Zhu OffRL 72 1 0 13 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning Nusrat Jahan Prottasha Asif Mahmud Md. Shohanur Islam Sobuj Prakash Bhat Md. Kowsher Niloofar Yousefi O. Garibay 113 7 0 11 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers Connor W. Magoon Fengyu Yang Noam Aigerman Shahar Z. Kovalsky 76 1 0 08 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania Marko Mihajlovic Sergey Prokudin Jacek Tabor Przemysław Spurek 71 2 0 07 Oct 2024
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization Gustav Wagner Zakarias Lars Kai Hansen Zheng-Hua Tan 81 0 0 03 Oct 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu Xiaoyuan Luo Linhao Qu Shuo Wang Ying Xiong Ilias Maglogiannis Longxiang Gao Manning Wang 62 2 0 29 Sep 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 171 3 0 28 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 101 2 0 28 Sep 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences Jason Bohne David Rosenberg Gary Kazantsev Pawel Polak 80 0 0 16 Sep 2024