Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 161 3 0 13 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 61 1 0 05 Sep 2024
Dynamics of Meta-learning Representation in the Teacher-student Scenario Hui Wang Cho Tung Yip Bo Li 124 0 0 22 Aug 2024
Semi-Supervised One-Shot Imitation Learning Philipp Wu Kourosh Hakhamaneshi Yuqing Du Igor Mordatch Aravind Rajeswaran Pieter Abbeel SSL 108 1 0 09 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps Yifan Zhu Pranay Thangeda Erica Tevere Ashish Goel Erik Kramer Hari Nayar Melkior Ornik Kris K. Hauser 76 0 0 06 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 155 7 0 28 Jul 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 87 0 0 27 Jul 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective Changwen Zheng Wenwen Qiang Jianqi Zhang Changwen Zheng Jingyao Wang SSL 111 0 0 19 Jul 2024
Improving SAM Requires Rethinking its Optimization Formulation Wanyun Xie Fabian Latorre Kimon Antonakopoulos Thomas Pethick Volkan Cevher 95 2 0 17 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 102 12 0 15 Jul 2024
Prediction based computation offloading and resource allocation for multi-access ISAC enabled IoT system Duc-Thuan Le 25 0 0 28 Jun 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting Boyao Wang Dylan Zhang Hanning Zhang Xingyuan Pan Minrui Xu Jipeng Zhang Renjie Pi Xiaoyu Wang Tong Zhang 137 10 0 28 Jun 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer Wenxuan Ma Shuang Li Lincan Cai Jingxuan Kang 81 2 0 27 Jun 2024
Double Momentum Method for Lower-Level Constrained Bilevel Optimization Wanli Shi Yi Chang Bin Gu 83 0 0 25 Jun 2024
Towards Exact Computation of Inductive Bias Akhilan Boopathy William Yue Jaedong Hwang Abhiram Iyer Ila Fiete 96 0 0 22 Jun 2024
MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication Shubhabrata Mukherjee Cory Beard Sejun Song 68 0 0 22 Jun 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen Yezhen Wang Zhouhao Yang Xiang Li Haonan Wang Yang Zhang Jonathan Scarlett Zhanxing Zhu Kenji Kawaguchi AI4CE 107 4 0 20 Jun 2024
Constrained Meta Agnostic Reinforcement Learning Karam Daaboul Florian Kuhm Tim Joseph J. Marius Zoellner 113 0 0 20 Jun 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 155 5 0 18 Jun 2024
Meta-Learning Neural Procedural Biases Christian Raymond Qi Chen Bing Xue Mengjie Zhan 105 1 0 12 Jun 2024
Agnostic Sharpness-Aware Minimization Van-Anh Nguyen Quyen Tran Tuan Truong Thanh-Toan Do Dinh Q. Phung Trung Le 105 0 0 11 Jun 2024
Cooperative Meta-Learning with Gradient Augmentation Jongyun Shin Seunjin Han Jangho Kim VLM 82 2 0 07 Jun 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 80 1 0 06 Jun 2024
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu 155 32 0 28 May 2024
Derivatives of Stochastic Gradient Descent F. Iutzeler Edouard Pauwels Samuel Vaiter 75 1 0 24 May 2024
Riemannian Bilevel Optimization Sanchayan Dutta Xiang Cheng S. Sra 100 0 0 22 May 2024
Perturbing the Gradient for Alleviating Meta Overfitting Manas Gogoi Sambhavi Tiwari Shekhar Verma 107 1 0 20 May 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy Risheng Liu Zhu Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 84 8 0 16 May 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer Xingyu Liu Deepak Pathak Ding Zhao 90 6 0 06 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition Hongyu Qu Rui Yan Xiangbo Shu Haoliang Gao Peng Huang Guo-Sen Xie 124 4 0 03 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization Chris Junchi Li 106 0 0 01 May 2024
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models Jiaqi Yan Ankush Chakrabarty Alisa Rupenyan John Lygeros 87 2 0 18 Apr 2024
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering Guoxing Sun Rishabh Dabral Pascal Fua Christian Theobalt Marc Habermann 3DH 100 7 0 27 Mar 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts Sai Ashish Somayajula Youwei Liang Abhishek Singh Li Zhang Pengtao Xie 80 2 0 19 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models Rushi Qiang Ruiyi Zhang Pengtao Xie AI4CE 72 10 0 19 Mar 2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates Riccardo Grazzi Massimiliano Pontil Saverio Salzo 93 1 0 18 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage Jae-Jun Lee Sung Whan Yoon 70 2 0 11 Mar 2024
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 106 2 0 01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 79 0 0 28 Feb 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization Zhenzhang Ye Gabriel Peyré Daniel Cremers Pierre Ablin 78 2 0 26 Feb 2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning Ruofan Wang Prakruthi Prabhakar Gaurav Srivastava Tianqi Wang Zeinab S. Jalali ... Divya Venugopalan Aman Gupta Fedor Borisyuk S. Keerthi A. Muralidharan 98 0 0 23 Feb 2024
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization Jeongyeol Kwon Dohyun Kwon Hanbaek Lyu 80 6 0 11 Feb 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF Han Shen Zhuoran Yang Tianyi Chen OffRL 110 15 0 10 Feb 2024
Glocal Hypergradient Estimation with Koopman Operator Ryuichiro Hataya Yoshinobu Kawahara 114 2 0 05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 91 5 0 04 Feb 2024
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation Pawel Batorski Dawid Malarz Marcin Przewiȩźlikowski Marcin Mazur S. Tadeja Przemysław Spurek 101 1 0 02 Feb 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm Wei-Ting Yao Chengming Yu Shangzhi Zeng Jin Zhang 97 13 0 29 Jan 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 111 11 0 29 Jan 2024
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh Recovery Yongwei Nie Mingxian Fan Chengjiang Long Qing Zhang Jian Zhu Xuemiao Xu 3DH 59 0 0 25 Jan 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning Charles Dickens Changyu Gao Connor Pryor Stephen J. Wright Lise Getoor 120 3 0 17 Jan 2024