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
Rethinking supervised learning: insights from biological learning and from calling it by its name Alex Hernandez-Garcia SSL 30 0 0 04 Dec 2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field Xin Cong Shiyao Cui Yu Bowen Tingwen Liu Yubin Wang Bin Wang 77 52 0 04 Dec 2020
SAFCAR: Structured Attention Fusion for Compositional Action Recognition Tae Soo Kim Gregory Hager CoGe 67 10 0 03 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 111 29 0 03 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 50 0 0 02 Dec 2020
A Study of Few-Shot Audio Classification Piper Wolters Chris Careaga Brian Hutchinson Lauren A. Phillips 107 10 0 02 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 89 240 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 87 6 0 02 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization Hanchen Xie Mohamed E. Hussein Aram Galstyan Wael Abd-Almageed SSL 59 8 0 30 Nov 2020
Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli Massimiliano Mancini Yongqin Xian Zeynep Akata Barbara Caputo VLM CLL 81 25 0 30 Nov 2020
Meta learning to classify intent and slot labels with noisy few shot examples Shang-Wen Li Jason Krone Shuyan Dong Yi Zhang Yaser Al-Onaizan NoLa VLM 47 6 0 30 Nov 2020
Human vs. supervised machine learning: Who learns patterns faster? Niklas Kühl Marc Goutier Lucas Baier C. Wolff Dominik Martin 79 45 0 30 Nov 2020
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection Longyao Liu Bo Ma Yulin Zhang Xin Yi Haozhi Li ObjD 44 22 0 30 Nov 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 78 29 0 30 Nov 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 73 30 0 30 Nov 2020
Annotation-Efficient Untrimmed Video Action Recognition Yixiong Zou Shanghang Zhang Guangyao Chen Yonghong Tian Kurt Keutzer J. M. F. Moura 58 5 0 30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 72 127 0 29 Nov 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 104 16 0 28 Nov 2020
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas Griffiths 114 4 0 27 Nov 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 87 114 0 26 Nov 2020
Match Them Up: Visually Explainable Few-shot Image Classification Bowen Wang Liangzhi Li Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara FAtt 68 26 0 25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 68 10 0 25 Nov 2020
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning Aneesh S. Pappu Brooks Paige GNN AI4CE 42 14 0 24 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 86 72 0 24 Nov 2020
BiOpt: Bi-Level Optimization for Few-Shot Segmentation Jinlu Liu Liang Song Yongqiang Qin VLM 38 0 0 23 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 43 18 0 22 Nov 2020
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings Karan Sikka Jihua Huang Andrew Silberfarb Prateeth Nayak Luke Rohrer Pritish Sahu John Byrnes Ajay Divakaran R. Rohwer 54 4 0 21 Nov 2020
Computation harvesting in road traffic dynamics H. Ando T. Okamoto H. Chang T. Noguchi S. Nakaoka 14 0 0 21 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 70 32 0 20 Nov 2020
One Shot Learning for Speech Separation Yuan-Kuei Wu Kuan-Po Huang Yu Tsao Hung-yi Lee VLM 70 8 0 20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
Multimodal Prototypical Networks for Few-shot Learning Frederik Pahde M. Puscas T. Klein Moin Nabi 77 90 0 17 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 49 21 0 15 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 79 16 0 14 Nov 2020
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories Arman Kazemi M. Sharifi Ann Franchesca Laguna F. Müller R. Rajaei R. Olivo T. Kämpfe Michael Niemier X. S. Hu MQ 61 37 0 13 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 71 10 0 13 Nov 2020
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes 88 0 0 10 Nov 2020
Low-Resource Adaptation of Neural NLP Models Farhad Nooralahzadeh 85 0 0 09 Nov 2020
A Broad Dataset is All You Need for One-Shot Object Detection Claudio Michaelis Matthias Bethge Alexander S. Ecker ObjD 119 2 0 09 Nov 2020
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Xiao Gong Xi Chen Wei Chen 98 28 0 09 Nov 2020
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning Mihir Prabhudesai Shamit Lal Darshan Patil H. Tung Adam W. Harley Katerina Fragkiadaki OCL 3DV 3DPC 121 20 0 06 Nov 2020
Confusable Learning for Large-class Few-Shot Classification Bing Li Bo Han Zhuowei Wang Jing Jiang Guodong Long 70 2 0 06 Nov 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering Quan Hung Tran Nhan Dam T. Lai Franck Dernoncourt Trung Le Nham Le Dinh Q. Phung FAtt 38 4 0 05 Nov 2020
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest Kévin Riou Jingwen Zhu Suiyi Ling Mathis Piquet V. Truffault P. Le Callet 102 8 0 05 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 83 16 0 03 Nov 2020
Emergent Communication Pretraining for Few-Shot Machine Translation Yaoyiran Li Edoardo Ponti Ivan Vulić Anna Korhonen 106 19 0 02 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 127 128 0 31 Oct 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification Shuman Peng Weilian Song Martin Ester 32 3 0 31 Oct 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 172 247 0 30 Oct 2020
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations Mihir Prabhudesai Shamit Lal H. Tung Adam W. Harley Shubhankar Potdar Katerina Fragkiadaki 3DPC 85 2 0 30 Oct 2020