Meta-Transfer Learning through Hard Tasks

7 October 2019

Bernt Schiele

Papers citing "Meta-Transfer Learning through Hard Tasks"

50 / 56 papers shown

Title
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 79 346 0 24 Feb 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 262 640 0 17 Oct 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 61 270 0 03 Jun 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 112 341 0 27 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 72 98 0 15 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 114 1,767 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 94 1,268 0 07 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 79 197 0 27 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 92 490 0 25 Mar 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 127 666 0 10 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 199 1,071 0 06 Dec 2018
Cross-Modulation Networks for Few-Shot Learning Hugo Prol Vincent Dumoulin Luis Herranz 60 15 0 01 Dec 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 776 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 139 1,371 0 16 Jul 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 179 728 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 241 355 0 12 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 271 671 0 07 Jun 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 100 668 0 25 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 96 1,313 0 23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 68 84 0 22 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 91 930 0 21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 123 1,220 0 23 Apr 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training Rohit Keshari Mayank Vatsa Richa Singh A. Noore 56 82 0 30 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 70 1,283 0 02 Mar 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks D. Weinshall Gad Cohen Dan Amir ODL 47 241 0 11 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 88 509 0 26 Jan 2018
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 97 677 0 16 Jan 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 104 1,453 0 14 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 298 4,050 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 167 1,239 0 10 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 352 2,212 0 22 Sep 2017
Curriculum Learning for Multi-Task Classification of Visual Attributes N. Sarafianos Theodoros Giannakopoulos Christophoros Nikou I. Kakadiaris 49 52 0 29 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 96 1,119 0 31 Jul 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 69 554 0 12 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard Turner VLM 59 71 0 01 Jun 2017
A Domain Based Approach to Social Relation Recognition Qianru Sun Bernt Schiele Mario Fritz 71 104 0 21 Apr 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 77 525 0 10 Apr 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 60 350 0 05 Apr 2017
Generative Adversarial Residual Pairwise Networks for One Shot Learning A. Mehrotra Ambedkar Dukkipati GAN 58 110 0 23 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 352 27,195 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 101 1,068 0 02 Mar 2017
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 98 2,572 0 30 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 260 18,240 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,862 0 20 May 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 151 2,418 0 12 Apr 2016