Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

8 October 2021

Kyoung Mu Lee

Papers citing "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning"

49 / 49 papers shown

Title
Task-driven Image Fusion with Learnable Fusion Loss Haowen Bai Jiangshe Zhang Zixiang Zhao Yichen Wu Lilun Deng Yukun Cui Tao Feng Shuang Xu 161 2 0 04 Dec 2024
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 19 20 0 07 Feb 2021
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 35 123 0 31 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 74 228 0 28 Sep 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 37 127 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 65 55 0 17 Jul 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online Zhongwen Xu H. V. Hasselt Matteo Hessel Junhyuk Oh Satinder Singh David Silver 45 76 0 16 Jul 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 80 125 0 27 Apr 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 39 75 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 181 42,038 0 03 Dec 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 55 218 0 30 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 47 118 0 09 Oct 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 79 848 0 10 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 45 210 0 30 Aug 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 26 87 0 13 Jun 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 40 109 0 12 Jun 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 30 3 0 30 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 40 17 0 24 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 47 67 0 17 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 52 203 0 13 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 71 128 0 17 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 86 1,756 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 70 1,266 0 07 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 109 614 0 07 Mar 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 44 771 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 107 1,366 0 16 Jul 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 248 666 0 07 Jun 2018
How Does Batch Normalization Help Optimization? Shibani Santurkar Dimitris Tsipras Andrew Ilyas Aleksander Madry ODL 62 1,531 0 29 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 63 667 0 25 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 86 324 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 82 1,310 0 23 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 66 924 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 71 461 0 20 May 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 194 2,226 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 48 1,278 0 02 Mar 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 60 505 0 26 Jan 2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers Eunbyung Park Alexander C. Berg VOT TTA 46 166 0 09 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 183 4,035 0 16 Nov 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 237 2,178 0 22 Sep 2017
CREST: Convolutional Residual Learning for Visual Tracking Yibing Song Chao Ma Lijun Gong Jiawei Zhang Rynson W. H. Lau Ming-Hsuan Yang 50 487 0 01 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 63 1,114 0 31 Jul 2017
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning Flood Sung Li Zhang Tao Xiang Timothy M. Hospedales Yongxin Yang OffRL 35 127 0 29 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 193 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 76 1,064 0 02 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 68 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 264 7,286 0 13 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 260 43,154 0 11 Feb 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 952 39,383 0 01 Sep 2014