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
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 13 3 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
One-shot skill assessment in high-stakes domains with limited data via meta learning Erim Yanik Steven D. Schwaitzberg Gene Yang Xavier Intes Jack Norfleet Matthew Hackett S. De 28 3 0 16 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 24 9 0 09 Dec 2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 19 1 0 29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 14 7 0 29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 17 16 0 29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 14 14 0 28 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 19 6 0 15 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 11 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 19 12 0 13 Nov 2022
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals Ning Ding Ce Zhang A. Eskandarian 34 4 0 07 Nov 2022
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting Naifeng Zhang Shan Jia Siwei Lyu Xin Li AAML 25 1 0 27 Oct 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences Wei Han Hui Chen MingSung Kan Soujanya Poria 27 10 0 23 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 46 10 0 20 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 15 1 0 13 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 21 3 0 07 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning Bin Liu Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 16 16 0 01 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection Yipeng Gao Lingxiao Yang Yunmu Huang Song Xie Shiyong Li Weihao Zheng ObjD 43 26 0 22 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 29 1 0 20 Sep 2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification Furkan Pala I. Rekik 19 2 0 13 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 21 42 0 26 Aug 2022
Image augmentation improves few-shot classification performance in plant disease recognition Frank Xiao 14 0 0 25 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 14 12 0 23 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 16 1 0 20 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 30 4 0 17 Aug 2022
Blind Users Accessing Their Training Images in Teachable Object Recognizers Jonggi Hong Jaina Gandhi Ernest Essuah Mensah Farnaz Zamiri Zeraati Ebrima Jarjue Kyungjun Lee Hernisa Kacorri VLM 8 15 0 16 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 17 22 0 27 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 21 19 0 25 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation Li Xu Haoxuan Qu Jason Kuen Jiuxiang Gu Jun Liu CML 20 27 0 23 Jul 2022
Few-shot Image Generation Using Discrete Content Representation Y. Hong Li Niu Jianfu Zhang Liqing Zhang DiffM 29 11 0 22 Jul 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta Y. Hong Li Niu Jianfu Zhang Liqing Zhang GAN 19 34 0 21 Jul 2022
Malware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework Jinting Zhu Julian Jang-Jaccard I. Welch Harith Al-Sahaf S. Çamtepe AAML 32 0 0 21 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns Nan Song Chi Zhang Guosheng Lin VLM SSL 13 10 0 19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai BDL EDL UQCV 15 2 0 19 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments Bastian Alt Darko Katic Rainer Jäkel Michael Beetz 9 6 0 15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 14 0 0 14 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning Yang Tan Enming Zhang Yang Li Shao-Lun Huang Xiaoping Zhang OT 33 9 0 12 Jul 2022
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation Zejiang Hou Julian Salazar George Polovets 17 14 0 07 Jul 2022
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning Agus Gunawan Muhammad Adi Nugroho Se Jin Park OOD 14 4 0 05 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 9 31 0 02 Jul 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 23 5 0 25 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard E. Turner VLM 21 9 0 20 Jun 2022
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking Yijing Yang Hongyu Fu C.-C. Jay Kuo OOD 4 11 0 18 Jun 2022
Zero-Shot AutoML with Pretrained Models Ekrem Öztürk Fabio Ferreira H. Jomaa Lars Schmidt-Thieme Josif Grabocka Frank Hutter VLM 20 8 0 16 Jun 2022
Deep Learning and Handheld Augmented Reality Based System for Optimal Data Collection in Fault Diagnostics Domain Ryan D. Nguyen Rahul Rai 14 0 0 15 Jun 2022
NatGen: Generative pre-training by "Naturalizing" source code Saikat Chakraborty Toufique Ahmed Yangruibo Ding Prem Devanbu Baishakhi Ray AI4CE 48 116 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 19 8 0 15 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning Yichen Wu Long-Kai Huang Ying Wei OOD 4 0 0 09 Jun 2022