Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 27 52 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 33 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 17 129 0 15 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 22 16 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 49 47 0 14 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen Yuejiao Sun Quan-Wu Xiao W. Yin 24 77 0 09 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 19 20 0 07 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 25 49 0 07 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 17 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 59 223 0 27 Jan 2021
Machine learning with limited data Fupin Yao VLM 27 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 28 57 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 36 34 0 15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 42 61 0 14 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 33 4 0 14 Dec 2020
Model-Agnostic Learning to Meta-Learn A. Devos Yatin Dandi OOD 30 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 19 283 0 03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 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 9 107 0 01 Dec 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 31 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 11 10 0 13 Nov 2020
Convergence Properties of Stochastic Hypergradients Riccardo Grazzi Massimiliano Pontil Saverio Salzo 22 26 0 13 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 43 5 0 03 Nov 2020
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Keyu Chen Di Zhuang Jerome Chang OOD 8 44 0 01 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 31 122 0 31 Oct 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 27 3 0 27 Oct 2020
Modeling and Optimization Trade-off in Meta-learning Katelyn Gao Ozan Sener 13 28 0 24 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control Deepan Muthirayan Pramod P. Khargonekar 28 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 15 34 0 20 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah 19 7 0 19 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 28 249 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 33 13 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 30 45 0 13 Oct 2020
Model Selection for Cross-Lingual Transfer Yang Chen Alan Ritter 23 12 0 13 Oct 2020
How Important is the Train-Validation Split in Meta-Learning? Yu Bai Minshuo Chen Pan Zhou T. Zhao J. Lee Sham Kakade Haiquan Wang Caiming Xiong 24 53 0 12 Oct 2020
Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi Matt J. Kusner Vlad Niculae 26 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 39 89 0 07 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 25 329 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 11 52 0 07 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 34 6 0 01 Oct 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning Yaohua Liu Risheng Liu 25 10 0 28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 24 0 0 26 Sep 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL SSL 33 8 0 17 Sep 2020
A Markov Decision Process Approach to Active Meta Learning Bingjia Wang Alec Koppel Vikram Krishnamurthy 6 1 0 10 Sep 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees Deepan Muthirayan Pramod P. Khargonekar 22 0 0 30 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems Jiaxi Tang Hongyi Wen Ke Wang AAML 10 82 0 11 Aug 2020
Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement Louis Sharrock N. Kantas 19 7 0 31 Jul 2020