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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
MatchingGAN: Matching-based Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Liqing Zhang VLM GAN 110 68 0 07 Mar 2020
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments I. Vélez C. Rascón Gibran Fuentes Pineda 84 10 0 06 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 99 91 0 06 Mar 2020
Finding online neural update rules by learning to remember Karol Gregor CLL 78 6 0 06 Mar 2020
Zero-Shot Cross-Lingual Transfer with Meta Learning Farhad Nooralahzadeh Giannis Bekoulis Johannes Bjerva Isabelle Augenstein FedML 95 113 0 05 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 122 7 0 05 Mar 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition Genta Indra Winata Samuel Cahyawijaya Zihan Liu Zhaojiang Lin Andrea Madotto Peng Xu Pascale Fung 103 80 0 04 Mar 2020
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error Yu-ichi Hayashi Taiji Suzuki 18 0 0 04 Mar 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors Jie Liu Jiawen Liu Zhen Xie Dong Li 107 5 0 03 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning Haozhe Jasper Wang Jiale Zhou Xuming He OffRL LRM 81 15 0 03 Mar 2020
Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning Xiaojian He Jinfu Lin Junming Shen 14 3 0 02 Mar 2020
Novelty-Prepared Few-Shot Classification Chao Wang Ruofan Liu Han-Jia Ye Yang Yu 42 0 0 01 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection? Ryo Kamoi Kei Kobayashi OODD 203 60 0 01 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 74 12 0 28 Feb 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 116 118 0 27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 88 285 0 27 Feb 2020
Meta-Learned Confidence for Few-shot Learning Seong Min Kye Haebeom Lee Hoirin Kim Sung Ju Hwang 59 23 0 27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search strategies Luke Metz Niru Maheswaranathan Ruoxi Sun C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 119 46 0 27 Feb 2020
Representation Learning Through Latent Canonicalizations Or Litany Ari S. Morcos Srinath Sridhar Leonidas Guibas Judy Hoffman SSL OOD DRL 36 2 0 26 Feb 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 158 192 0 26 Feb 2020
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures Alexander Luedtke Incheoul Chung Oleg Sofrygin 32 4 0 26 Feb 2020
The Sample Complexity of Meta Sparse Regression Zhanyu Wang Jean Honorio 129 3 0 22 Feb 2020
Modelling Latent Skills for Multitask Language Generation Kris Cao Dani Yogatama 39 3 0 21 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 161 91 0 21 Feb 2020
Few-shot acoustic event detection via meta-learning Bowen Shi Ming Sun Krishna C. Puvvada Chieh-Chi Kao Spyros Matsoukas Chao Wang 79 62 0 21 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 70 6 0 20 Feb 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice Yabin Zhang Bin Deng Hui Tang Lei Zhang Kui Jia AI4CE 63 75 0 20 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 102 237 0 19 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning Bhairav Mehta T. Deleu Sharath Chandra Raparthy C. Pal Liam Paull 102 20 0 19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 103 50 0 18 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 65 7 0 18 Feb 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 109 75 0 17 Feb 2020
CRL: Class Representative Learning for Image Classification Mayanka Chandrashekar Yugyung Lee VLM 105 1 0 16 Feb 2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 81 185 0 13 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 93 127 0 13 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 64 41 0 13 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 59 13 0 12 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 273 11 0 11 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 51 6 0 11 Feb 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 85 3 0 09 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Yong Li Chih-Min Lin 119 33 0 08 Feb 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 256 113 0 07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 46 12 0 06 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 88 24 0 03 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning Mahesh Kumar Krishna Reddy M. Hossain Mrigank Rochan Yang Wang 65 40 0 01 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 73 28 0 27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 96 395 0 23 Jan 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 57 2 0 23 Jan 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li 96 48 0 22 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 77 49 0 22 Jan 2020