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
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 11 1 0 30 May 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer Bin Lu Xiaoying Gan Weinan Zhang Huaxiu Yao Luoyi Fu Xinbing Wang AI4TS 29 69 0 27 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 19 122 0 26 May 2022
Meta Balanced Network for Fair Face Recognition Mei Wang Yaobin Zhang Weihong Deng CVBM 11 74 0 13 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 17 26 0 03 May 2022
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models Han Xiang Choong Yew-Soon Ong Abhishek Gupta Caishun Chen Ray Lim 12 4 0 02 May 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 11 5 0 26 Apr 2022
Meta Transfer Learning for Early Success Prediction in MOOCs Vinitra Swamy Mirko Marras Tanja Kaser AI4Ed 17 19 0 25 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 17 3 0 17 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 17 72 0 02 Apr 2022
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting Yanghua Xiao Nana Hou E. Chng CLL 11 12 0 30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 24 59 0 29 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR Aneeshan Sain A. Bhunia Vaishnav Potlapalli Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song VLM 17 48 0 28 Mar 2022
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Yuhang Li Priyadarshini Panda FedML 11 7 0 24 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 9 10 0 23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor P. Spurek VLM 14 27 0 21 Mar 2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks Hanqing Sun Hyun Ahn Hyungyu Lee Injung Kim 9 0 0 20 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 22 28 0 14 Mar 2022
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems C. Nivarthi 13 3 0 09 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 154 0 07 Mar 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users D. Jain Khoa Nguyen Steven M. Goodman Rachel Grossman-Kahn Hung Ngo Aditya Kusupati Ruofei Du A. Olwal Leah Findlater Jon E. Froehlich 34 30 0 22 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning Jingquan Wang Jing Xu Y. Pan Zenglin Xu VLM 6 1 0 17 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zhuoxiao Chen Zi Huang Mahsa Baktashmotlagh AI4CE 39 29 0 13 Feb 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification Priyanka Gupta Sathvik Bhaskarpandit Manik Gupta 16 14 0 31 Jan 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 26 4 0 30 Jan 2022
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization Bingchao Chen Ronald Y. Chang 11 16 0 29 Jan 2022
Progressive Continual Learning for Spoken Keyword Spotting Yizheng Huang Nana Hou Nancy F. Chen CLL 8 14 0 29 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 100 0 15 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning Yuying Ge Yibing Song Ruimao Zhang Ping Luo VGen DiffM 14 0 0 13 Jan 2022
On the Role of Neural Collapse in Transfer Learning Tomer Galanti András Gyorgy Marcus Hutter SSL 21 85 0 30 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 18 0 0 28 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 11 1 0 23 Dec 2021
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images Youngoh Bang Simon S. Woo AAML CVBM 13 6 0 22 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 27 21 0 15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 13 59 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 19 7 0 13 Dec 2021
Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao Liang Qiu Pan Lu Feng Shi Tian Han Song-Chun Zhu 17 5 0 12 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 17 40 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 15 7 0 06 Dec 2021
Neural Photometry-guided Visual Attribute Transfer Carlos Rodriguez-Pardo Elena Garces 11 10 0 05 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 17 2 0 24 Nov 2021
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki CLL 21 5 0 23 Nov 2021
Learning Neural Models for Continuous-Time Sequences Vinayak Gupta AI4TS 12 0 0 13 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim K. Sohn VLM 28 10 0 09 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 20 152 0 30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun-Jie Luo 18 111 0 29 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 21 0 0 25 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples Y. Tan Penny Chong Jiamei Sun Ngai-man Cheung Yuval Elovici Alexander Binder AAML 29 0 0 24 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi S. Feizi 6 1 0 21 Oct 2021
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends Lin Wang Kuk-Jin Yoon 16 87 0 20 Oct 2021