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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 112 296 0 03 Apr 2019
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification Zhun Zhong Liang Zheng Zhiming Luo Shaozi Li Yi Yang OOD 124 564 0 03 Apr 2019
Cross-Entropy Adversarial View Adaptation for Person Re-identification Lin Wu Richang Hong Yang Wang Ming Wang GAN 94 81 0 03 Apr 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification Lin Wu Yang Wang Hongzhi Yin Meng Wang Ling Shao 87 81 0 29 Mar 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 96 494 0 28 Mar 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 126 198 0 27 Mar 2019
Few-Shot Learning-Based Human Activity Recognition Siwei Feng Marco F. Duarte 50 71 0 25 Mar 2019
Learning from Adversarial Features for Few-Shot Classification Wei Shen Ziqiang Shi Jun Sun 49 9 0 25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 101 491 0 25 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 93 663 0 19 Mar 2019
Visual recognition in the wild by sampling deep similarity functions Mikhail (Misha) Usvyatsov Konrad Schindler 25 0 0 15 Mar 2019
Visual Semantic Information Pursuit: A Survey Daqi Liu M. Bober J. Kittler 75 32 0 13 Mar 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 65 198 0 12 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition Paresh Malalur Tommi Jaakkola ObjD VLM 40 0 0 11 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 91 145 0 08 Mar 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 156 620 0 07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 72 545 0 06 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks A. Ayyad Yuchen Li Nassir Navab Shadi Albarqouni Mohamed Elhoseiny 38 7 0 06 Mar 2019
Learning a smooth kernel regularizer for convolutional neural networks Reuben Feinman Brenden M. Lake BDL SSL 52 7 0 05 Mar 2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter Michael Danielczuk Andrey Kurenkov Ashwin Balakrishna Matthew Matl David Wang Roberto Martín-Martín Animesh Garg Silvio Savarese Ken Goldberg 70 114 0 04 Mar 2019
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics Benjamin Schnieders Shan Luo Gregory Palmer K. Tuyls 52 14 0 02 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu Jianwen Xie Zhiqiang Tang Xi Peng Ahmed Elgammal VLM 88 121 0 01 Mar 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 95 401 0 27 Feb 2019
Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Xiao-Dan Zhu Ping Jian Jian Sun 104 186 0 27 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 109 75 0 26 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 129 119 0 26 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 128 21 0 22 Feb 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 87 256 0 22 Feb 2019
Adaptive Masked Proxies for Few-Shot Segmentation Mennatullah Siam Boris N. Oreshkin Martin Jägersand 82 33 0 19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 148 276 0 19 Feb 2019
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks Yueyao Yu Pengfei Yu Wenye Li AAML 18 6 0 18 Feb 2019
ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik Tomas Pfister 83 19 0 17 Feb 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 68 249 0 12 Feb 2019
The Omniglot challenge: a 3-year progress report Brenden M. Lake Ruslan Salakhutdinov J. Tenenbaum VLM 55 135 0 09 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 78 124 0 09 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 78 0 07 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 84 36 0 05 Feb 2019
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger 122 188 0 04 Feb 2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram 88 179 0 04 Feb 2019
Domain invariant hierarchical embedding for grocery products recognition A. Tonioni Luigi Di Stefano BDL 117 33 0 02 Feb 2019
Towards Collaborative Intelligence Friendly Architectures for Deep Learning Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram 81 27 0 01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 75 187 0 31 Jan 2019
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition Yaman Kumar Singla Dhruva Sahrawat Shubham Maheshwari Debanjan Mahata Amanda Stent Yifang Yin R. Shah Roger Zimmermann VLM 29 13 0 29 Jan 2019
Reward Shaping via Meta-Learning Haosheng Zou Zhaolin Ren Dong Yan Hang Su Jun Zhu OffRL 96 69 0 27 Jan 2019
Few-shot Learning with Meta Metric Learners Yu Cheng Mo Yu Xiaoxiao Guo Bowen Zhou 105 19 0 26 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts Pengkai Zhu Hanxiao Wang Venkatesh Saligrama VLM 72 10 0 25 Jan 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss Björn Barz Joachim Denzler 84 132 0 25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 94 163 0 25 Jan 2019
Causal Reasoning from Meta-reinforcement Learning Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrović Pedro A. Ortega David Raposo Edward Hughes Peter W. Battaglia M. Botvinick Z. Kurth-Nelson CML LRM 71 122 0 23 Jan 2019
Max-margin Class Imbalanced Learning with Gaussian Affinity Munawar Hayat Salman Khan Waqas Zamir Jianbing Shen Ling Shao 62 24 0 23 Jan 2019