Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,523 papers shown

Title
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba J. Tenenbaum Chuang Gan CoGe OCL 27 52 0 02 May 2022
Semantically Informed Slang Interpretation Zhewei Sun R. Zemel Yang Xu 33 7 0 02 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 89 3,416 0 29 Apr 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 33 21 0 28 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 43 2 0 28 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 46 35 0 24 Apr 2022
Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention Yanxiong Li Wucheng Wang Hao Chen Wenchang Cao Wei Li Qianhua He 35 5 0 24 Apr 2022
Few-Shot Object Detection with Proposal Balance Refinement Sueyeon Kim Woo-Jeoung Nam Seong-Whan Lee ObjD 48 3 0 22 Apr 2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation Chunbo Lang Binfei Tu Gong Cheng Junwei Han 50 65 0 21 Apr 2022
Fast Few-shot Debugging for NLU Test Suites Christopher Malon Kai Li E. Kruus 30 4 0 13 Apr 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition Tingting Ma Huiqiang Jiang Qianhui Wu Tiejun Zhao Chin-Yew Lin 52 61 0 12 Apr 2022
Few-shot Learning with Noisy Labels Kevin J. Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 39 47 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 38 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 43 8 0 11 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 36 9 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 42 161 0 09 Apr 2022
Contrastive Demonstration Tuning for Pre-trained Language Models Xiaozhuan Liang Ningyu Zhang Shuyang Cheng Zhenru Zhang Chuanqi Tan Huajun Chen VLM ALM VPVLM 52 9 0 09 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 43 0 0 08 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 45 20 0 07 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 38 7 0 07 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 34 22 0 06 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 58 27 0 06 Apr 2022
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition Silvan Ferreira Esdras Costa M. Dahia J. Rocha SLR 24 1 0 05 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 56 32 0 05 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 87 7 0 05 Apr 2022
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches Zifeng Zhao Dongchao Yang Rongzhi Gu Haoran Zhang Yuexian Zou 33 4 0 04 Apr 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 47 37 0 04 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models Rabeeh Karimi Mahabadi Luke Zettlemoyer James Henderson Marzieh Saeidi Lambert Mathias Ves Stoyanov Majid Yazdani VLM 34 71 0 03 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 40 72 0 02 Apr 2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging Yutai Hou Cheng Chen Xianzhen Luo Yue Liu Wanxiang Che BDL 37 22 0 02 Apr 2022
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting Wei-Tsung Kao Yue Wu Chia-Ping Chen Zhi-Sheng Chen Yu-Pao Tsai Hung-yi Lee 27 7 0 01 Apr 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Tian Yun Usha Bhalla Ellie Pavlick Chen Sun ReLM CoGe VLM LRM 36 25 0 31 Mar 2022
Improved Relation Networks for End-to-End Speaker Verification and Identification Ashutosh Chaubey Sparsh Sinha Susmita Ghose 37 3 0 31 Mar 2022
Learning from few examples with nonlinear feature maps I. Tyukin Oliver J. Sutton Alexander N. Gorban 34 1 0 31 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 34 21 0 30 Mar 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 44 142 0 30 Mar 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 50 11 0 29 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 44 59 0 29 Mar 2022
Rethinking Semantic Segmentation: A Prototype View Tianfei Zhou Wenguan Wang E. Konukoglu Luc Van Gool SSeg 41 262 0 28 Mar 2022
Few-Shot Object Detection with Fully Cross-Transformer G. Han Jiawei Ma Shiyuan Huang Long Chen Shih-Fu Chang 68 132 0 28 Mar 2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Yu Du Fangyun Wei Zihe Zhang Miaojing Shi Yue Gao Guoqi Li VPVLM VLM 36 327 0 28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 39 30 0 28 Mar 2022
Few-Shot Learning with Siamese Networks and Label Tuning Thomas Müller Guillermo Pérez-Torró Marc Franco-Salvador VLM 38 40 0 28 Mar 2022
FS6D: Few-Shot 6D Pose Estimation of Novel Objects Yisheng He Yao Wang Haoqiang Fan Jian Sun Qifeng Chen 38 84 0 28 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 35 5 0 25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 45 32 0 25 Mar 2022
Compound Domain Generalization via Meta-Knowledge Encoding Chaoqi Chen Jiongcheng Li Xiaoguang Han Xiaoqing Liu Yizhou Yu AI4CE 64 59 0 24 Mar 2022
HM: Hybrid Masking for Few-Shot Segmentation Seonghyeon Moon Samuel S. Sohn Honglu Zhou Sejong Yoon Vladimir Pavlovic Muhammad Haris Khan Mubbasir Kapadia 45 9 0 24 Mar 2022
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion Yuling Li Kui Yu Yuhong Zhang Xindong Wu 23 3 0 22 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 40 28 0 21 Mar 2022