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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
Dynamic Difficulty Adjustment via Fast User Adaptation Hee-Seung Moon Jiwon Seo 68 19 0 28 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 93 176 0 28 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 72 28 0 28 Jun 2020
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images Lamei Zhang Siyu Zhang B. Zou Hongwei Dong SSL 23 0 0 27 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 94 188 0 26 Jun 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian Gabriel Maicas L. Pu Rajvinder Singh Johan Verjans G. Carneiro MedIm 81 39 0 26 Jun 2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng I. Laradji Ismail Ben Ayed David Vazquez M. Pedersoli 67 36 0 25 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets Haoxiang Wang Ruoyu Sun Bo Li MLT AI4CE 93 14 0 25 Jun 2020
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman Brenden M. Lake GAN 68 19 0 25 Jun 2020
A Simple Approach to Case-Based Reasoning in Knowledge Bases Rajarshi Das Ameya Godbole Shehzaad Dhuliawala Manzil Zaheer Andrew McCallum 76 24 0 25 Jun 2020
AReLU: Attention-based Rectified Linear Unit Dengsheng Chen Jun Li Kai Xu 84 20 0 24 Jun 2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features Gwendoline de Bie Herilalaina Rakotoarison Gabriel Peyré Michèle Sebag OOD 104 1 0 24 Jun 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 127 7 0 24 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 76 44 0 23 Jun 2020
Discrete Few-Shot Learning for Pan Privacy Roei Gelbhart Benjamin I. P. Rubinstein 32 1 0 23 Jun 2020
ELSIM: End-to-end learning of reusable skills through intrinsic motivation A. Aubret L. Matignon S. Hassas 52 5 0 23 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 65 110 0 23 Jun 2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering Xin Cong Yu Bowen Tingwen Liu Shiyao Cui Hengzhu Tang Bin Wang 52 21 0 23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 61 167 0 23 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification Jingtian Peng Chang Xiao Yifan Li 97 45 0 22 Jun 2020
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation Qian Zhang Yilin Zheng Jean Honorio 89 7 0 22 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 94 59 0 22 Jun 2020
PICO: Primitive Imitation for COntrol Corban G. Rivera K. Popek C. Ashcraft Edward W. Staley Kapil D. Katyal B. Paulhamus 18 0 0 22 Jun 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 77 1 0 22 Jun 2020
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 40 0 0 22 Jun 2020
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning M. Song Jaehong Yoon Eunho Yang Sung Ju Hwang 17 1 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 145 25 0 22 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 118 110 0 22 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 62 4 0 22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection Shivangi Aneja Matthias Nießner 61 43 0 21 Jun 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 100 15 0 21 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 107 127 0 21 Jun 2020
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata GAN 64 24 0 20 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 149 221 0 20 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 104 35 0 19 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 80 51 0 19 Jun 2020
Meta Learning in the Continuous Time Limit Ruitu Xu Lin Chen Amin Karbasi 60 14 0 19 Jun 2020
Predictive Complexity Priors Eric T. Nalisnick Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV 106 19 0 18 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 104 65 0 18 Jun 2020
Generalization of Agent Behavior through Explicit Representation of Context C. Tutum Suhaib Abdulquddos Risto Miikkulainen 163 6 0 18 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 53 36 0 18 Jun 2020
Extensively Matching for Few-shot Learning Event Detection Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 95 61 0 17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 96 93 0 17 Jun 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches Weihao Kong Raghav Somani Sham Kakade Sewoong Oh OOD 86 35 0 17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank Wood VLM SSL 134 57 0 17 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 69 251 0 17 Jun 2020
Dynamic Tensor Rematerialization Marisa Kirisame Steven Lyubomirsky Altan Haan Jennifer Brennan Mike He Jared Roesch Tianqi Chen Zachary Tatlock 92 94 0 17 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 74 33 0 16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji Jason D. Lee Yingbin Liang H. Vincent Poor 206 76 0 16 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance L. Smith A. Conovaloff SSL 82 8 0 16 Jun 2020