v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding Yutai Hou Zhihan Zhou Yijia Liu Ning Wang Wanxiang Che Han Liu Ting Liu 71 9 0 20 Jun 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 71 3 0 20 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 82 77 0 19 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 76 244 0 18 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning Jong-Chyi Su Subhransu Maji B. Hariharan SSL AI4MH 63 19 0 17 Jun 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 88 566 0 17 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 84 136 0 16 Jun 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 64 18 0 13 Jun 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 75 89 0 13 Jun 2019
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing Sungmin Eum H. Kwon 38 3 0 13 Jun 2019
Joint Concept Matching based Learning for Zero-Shot Recognition Wen Tang Ashkan Panahi Hamid Krim VLM 35 1 0 13 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning Zhengxiao Du Chang Zhou Ming Ding Hongxia Yang Jie Tang ReLM LRM 67 24 0 13 Jun 2019
Interpretable Few-Shot Learning via Linear Distillation Arip Asadulaev Igor Kuznetsov Andrey Filchenkov FedML FAtt 105 1 0 13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 112 199 0 12 Jun 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 55 94 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 103 405 0 12 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction Apoorva Dornadula Austin Narcomey Ranjay Krishna Michael S. Bernstein Li Fei-Fei OCL 58 3 0 12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 75 25 0 11 Jun 2019
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation Kowshik Thopalli Jayaraman J. Thiagarajan Rushil Anirudh Pavan Turaga 33 2 0 11 Jun 2019
Meta-Learning Neural Bloom Filters Jack W. Rae Sergey Bartunov Timothy Lillicrap 72 36 0 10 Jun 2019
Human-Machine Collaboration for Fast Land Cover Mapping Caleb Robinson Anthony Ortiz Kolya Malkin Blake Elias Andi Peng Dan Morris B. Dilkina Nebojsa Jojic 70 20 0 10 Jun 2019
Few-Shot Learning with Per-Sample Rich Supervision Roman Visotsky Yuval Atzmon Gal Chechik 51 7 0 10 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 37 1 0 10 Jun 2019
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images A. Elfakharany Rubiyah Yusof N. Ismail Reza Arfa M. R. Yunus 20 3 0 10 Jun 2019
Domain Adaptive Dialog Generation via Meta Learning Kun Qian Zhou Yu VLM OffRL 85 130 0 08 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 104 59 0 07 Jun 2019
Learning Clustered Representation for Complex Free Energy Landscapes Jun Zhang Yao-Kun Lei X. Che Zhen Zhang Yue Yang Y. Gao FedML 13 0 0 07 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings Jean-François Ton Lucian Chan Yee Whye Teh Dino Sejdinovic 71 13 0 05 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 110 106 0 05 Jun 2019
Discriminative Few-Shot Learning Based on Directional Statistics Junyoung Park Subin Yi Yongseok Choi D.-Y. Cho Jiwon Kim 18 4 0 05 Jun 2019
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study Satoshi Tsutsui Dian Zhi Md. Alimoor Reza David J. Crandall Chen Yu OCL 38 3 0 04 Jun 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition A. Schmaltz 60 8 0 04 Jun 2019
One-Way Prototypical Networks Anna M. Kruspe VLM 100 14 0 03 Jun 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 76 272 0 03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 98 119 0 02 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 48 30 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 105 8 0 01 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 64 12 0 31 May 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 169 347 0 30 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 99 107 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 68 3 0 30 May 2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification Léonard Boussioux Tomás Giro-Larraz Charles Guille-Escuret Mehdi Cherti Balázs Kégl 62 1 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 57 4 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-Xiong Wang Lin Ma Wei Liu M. Hebert 78 223 0 28 May 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 122 341 0 27 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 50 1 0 27 May 2019
Auditory Separation of a Conversation from Background via Attentional Gating Shariq Mobin Bruno A. Olshausen 32 2 0 26 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 98 17 0 24 May 2019
Personalizing Dialogue Agents via Meta-Learning Zhaojiang Lin Andrea Madotto Chien-Sheng Wu Pascale Fung 140 187 0 24 May 2019