Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown

Title
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 138 85 0 23 Mar 2021
Population-Based Evolution Optimizes a Meta-Learning Objective Kevin Frans Olaf Witkowski 128 6 0 11 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 65 22 0 10 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Shaozi Li Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 71 111 0 08 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 86 73 0 07 Mar 2021
Meta Learning Black-Box Population-Based Optimizers H. Gomes B. Léger Christian Gagné 163 13 0 05 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 161 13 0 23 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 90 53 0 19 Feb 2021
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang AI4CE 131 36 0 16 Feb 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 92 132 0 15 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 47 16 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 96 49 0 14 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen Yuejiao Sun Quan-Wu Xiao W. Yin 99 79 0 09 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 62 20 0 07 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 123 51 0 07 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 50 2 0 28 Jan 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 152 229 0 27 Jan 2021
Machine learning with limited data Fupin Yao VLM 57 8 0 18 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 56 59 0 22 Dec 2020
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation R. Gong Yuhua Chen D. Paudel Yawei Li Ajad Chhatkuli Wen Li Dengxin Dai Luc Van Gool OOD VLM 92 35 0 15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 177 62 0 14 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 58 4 0 14 Dec 2020
Model-Agnostic Learning to Meta-Learn A. Devos Yatin Dandi OOD 95 1 0 04 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 123 291 0 03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 87 6 0 02 Dec 2020
Evaluating Explanations: How much do explanations from the teacher aid students? Danish Pruthi Rachit Bansal Bhuwan Dhingra Livio Baldini Soares Michael Collins Zachary Chase Lipton Graham Neubig William W. Cohen FAtt XAI 106 110 0 01 Dec 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 104 16 0 28 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 71 10 0 13 Nov 2020
Convergence Properties of Stochastic Hypergradients Riccardo Grazzi Massimiliano Pontil Saverio Salzo 112 26 0 13 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 91 5 0 03 Nov 2020
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Keyu Chen Di Zhuang Jerome Chang OOD 51 48 0 01 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 127 128 0 31 Oct 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 76 4 0 27 Oct 2020
Modeling and Optimization Trade-off in Meta-learning Katelyn Gao Ozan Sener 67 27 0 24 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 90 28 0 22 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control Deepan Muthirayan Pramod P. Khargonekar 95 2 0 21 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 74 36 0 20 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah 48 7 0 19 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 217 262 0 15 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 76 14 0 15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
Model Selection for Cross-Lingual Transfer Yang Chen Alan Ritter 78 12 0 13 Oct 2020
How Important is the Train-Validation Split in Meta-Learning? Yu Bai Minshuo Chen Pan Zhou T. Zhao Jason D. Lee Sham Kakade Haiquan Wang Caiming Xiong 96 53 0 12 Oct 2020
Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi Matt J. Kusner Vlad Niculae 64 13 0 09 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing Xilun Chen Asish Ghoshal Yashar Mehdad Luke Zettlemoyer S. Gupta 94 90 0 07 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 201 335 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Aoxiang Fan Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 57 55 0 07 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 89 6 0 01 Oct 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning Yaohua Liu Risheng Liu 67 10 0 28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 56 0 0 26 Sep 2020