Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
Metalearning generalizable dynamics from trajectories Qiaofeng Li Tianyi Wang V. Roychowdhury M. Jawed AI4CE 121 10 0 03 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Le‐Yu Chen Jing Xu J.N. Zhang 106 14 0 02 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 107 38 0 28 Dec 2022
Saliency-Augmented Memory Completion for Continual Learning Guangji Bai Chen Ling Yuyang Gao Liang Zhao CLL 120 4 0 26 Dec 2022
Cross-Domain Video Anomaly Detection without Target Domain Adaptation Abhishek Aich Kuan-Chuan Peng Amit K. Roy-Chowdhury 90 25 0 14 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 90 27 0 08 Dec 2022
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization Pei-Yuan Qiu Yining Li Zhuqing Liu Prashant Khanduri Jia Liu Ness B. Shroff Elizabeth S. Bentley K. Turck 96 4 0 05 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 73 1 0 02 Dec 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 72 2 0 22 Nov 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms Danimir T. Doncevic Alexander Mitsos Yu Guo Qianxiao Li Felix Dietrich Manuel Dahmen Ioannis G. Kevrekidis 66 7 0 22 Nov 2022
Implicit Training of Energy Model for Structure Prediction Shiv Shankar Vihari Piratla 73 0 0 21 Nov 2022
TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren Xidong Feng Bo Liu Xuehai Pan Yao Fu Kai Zou Yaodong Yang 68 12 0 13 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray Buntine Changyou Chen Richard Beare 74 8 0 11 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 110 4 0 08 Nov 2022
Learning to Augment via Implicit Differentiation for Domain Generalization Ting-Hsiang Wang Da Li Kaiyang Zhou Tao Xiang Yi-Zhe Song 46 0 0 25 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 125 38 0 24 Oct 2022
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity Xuxing Chen Minhui Huang Shiqian Ma Krishnakumar Balasubramanian 94 29 0 23 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Zhengchao Wan OOD 77 4 0 20 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 97 52 0 17 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 61 0 0 14 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 36 3 0 11 Oct 2022
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 165 68 0 08 Oct 2022
Robotic Control Using Model Based Meta Adaption Karam Daaboul Joel Ikels Marius Zöllner 70 2 0 07 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 82 3 0 05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 130 6 0 03 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 99 1 0 03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 76 2 0 03 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 76 30 0 29 Sep 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur Quentin Bertrand Gauthier Gidel Fabian Pedregosa 102 13 0 27 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 83 13 0 19 Sep 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye B. Liu S. Wright Peter Stone Qian Liu 118 90 0 19 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 116 46 0 26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 112 17 0 22 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Zorah Lähner Stefan Roth OOD TTA VLM 114 7 0 10 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 106 68 0 04 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 99 1 0 29 Jul 2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks Zhuqing Liu Xin Zhang Prashant Khanduri Songtao Lu Jia Liu 100 12 0 27 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 196 39 0 24 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation Li Xu Haoxuan Qu Jason Kuen Jiuxiang Gu Jun Liu CML 93 27 0 23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 75 9 0 21 Jul 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach Jiseok Youn Jaehun Song Hyung-Sin Kim S. Bahk MQ 61 8 0 20 Jul 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 92 1 0 19 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 97 0 0 14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning Guodong Liu Tongling Wang Shuoxi Zhang Kun He 106 1 0 09 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe Willie Neiswanger P. Xie Eric P. Xing AI4CE 83 32 0 05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 131 21 0 04 Jul 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 112 23 0 04 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 139 61 0 02 Jul 2022