Meta-Transfer Learning for Few-Shot Learning

6 December 2018

Bernt Schiele

Papers citing "Meta-Transfer Learning for Few-Shot Learning"

50 / 408 papers shown

Title
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 19 106 0 15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 17 44 0 13 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 13 215 0 10 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 10 34 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 11 52 0 07 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Yangbin Chen Yun Ma Tom Ko Jianping Wang Qing Li VLM 20 8 0 29 Sep 2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification Haifeng Li Zhenqi Cui Zhiqiang Zhu L. Chen Jiawei Zhu Haozhe Huang Chao Tao 23 91 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 16 0 0 26 Sep 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model Ling Pei Songpengcheng Xia Lei Chu Fanyi Xiao Qi Wu Wenxian Yu Zixuan Zhang 18 30 0 20 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
Meta-Learning with Shared Amortized Variational Inference E. Iakovleva Jakob Verbeek Alahari Karteek OOD FedML BDL 18 22 0 27 Aug 2020
A Flexible Selection Scheme for Minimum-Effort Transfer Learning Amelie Royer Christoph H. Lampert 19 13 0 27 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 12 76 0 25 Aug 2020
Learning Models of Individual Behavior in Chess Reid McIlroy-Young Russell Wang S. Sen Jon M. Kleinberg Ashton Anderson 23 12 0 23 Aug 2020
Leveraging Organizational Resources to Adapt Models to New Data Modalities S. Suri Raghuveer Chanda Neslihan Bulut P. Narayana Yemao Zeng Peter Bailis Sugato Basu G. Narlikar Christopher Ré Abishek Sethi VLM OffRL 8 11 0 23 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 8 9 0 20 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-xiong Wang M. Hebert 20 11 0 16 Aug 2020
Few-shot Classification via Adaptive Attention Zihang Jiang Bingyi Kang Kuangqi Zhou Jiashi Feng 8 18 0 06 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Weijie Zhao Chenghan Fu Liqing Zhang GAN 33 87 0 05 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen CLL 6 2 0 29 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 314 0 23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection Xianyu Chen Ming Jiang Qi Zhao ObjD 16 12 0 23 Jul 2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach X. Zhong Cheng Gu Wenxin Huang Lin Li Shuqin Chen Chia-Wen Lin SSL 15 12 0 21 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-man Cheung Alexander Binder 12 87 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang S. Hoi 15 53 0 17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 13 7 0 16 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection Qian Li Nan Guo Xiaochun Ye Duo Wang Dongrui Fan Zhimin Tang ObjD VLM 16 0 0 14 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification Yucan Zhou Yu Wang Jianfei Cai Yu Zhou Q. Hu Weiping Wang VLM 13 12 0 13 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 14 20 0 11 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 17 2 0 06 Jul 2020
Robustifying Sequential Neural Processes Jaesik Yoon Gautam Singh Sungjin Ahn 26 27 0 29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Pratik Mazumder Pravendra Singh Vinay P. Namboodiri 10 9 0 29 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 11 174 0 28 Jun 2020
Leveraging Siamese Networks for One-Shot Intrusion Detection Model Hanan Hindy Christos Tachtatzis Robert C. Atkinson David Brosset Miroslav Bures I. Andonovic W. Michie X. Bellekens AAML 6 25 0 27 Jun 2020
Meta Transfer Learning for Emotion Recognition Dung Nguyen S. Sridharan Duc Thanh Nguyen Simon Denman David Dean Clinton Fookes 23 14 0 23 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 31 91 0 17 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 6 32 0 12 Jun 2020
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 14 1 0 29 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 19 192 0 28 May 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 6 4 0 27 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 14 130 0 22 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao-Yu Yang Hari Sundaram 11 64 0 21 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Jian Sun Xiao-Dan Zhu 14 79 0 12 May 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 30 403 0 23 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Z. Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 31 0 20 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 43 1,928 0 11 Apr 2020