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Meta-Transfer Learning for Few-Shot Learning

6 December 2018

Bernt Schiele

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

50 / 419 papers shown

Title
Class-Incremental Exemplar Compression for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023 Zilin Luo Yaoyao Liu Bernt Schiele Qianru Sun VLM CLL 288 62 0 24 Mar 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive SummarizationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023 Yi-Syuan Chen Yun-Zhu Song Hong-Han Shuai 112 6 0 24 Mar 2023
Efficient Computation Sharing for Multi-Task Visual Scene UnderstandingIEEE International Conference on Computer Vision (ICCV), 2023 Sara Shoouri Mingyu Yang Zichen Fan Hun-Seok Kim MoE 229 7 0 16 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advancesACM Computing Surveys (ACM Comput. Surv.), 2023 Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 227 120 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-LearningIEEE International Conference on Multimedia and Expo (ICME), 2023 Min Zhang Zifeng Zhuang Zhitao Wang Xuetao Zhang Wen-Bin Li 157 7 0 12 Mar 2023
Multi-Content Interaction Network for Few-Shot Segmentation Hao Chen YunLong Yu Yonghan Dong Zhe-Ming Lu Yingming Li Zhongfei Zhang 157 6 0 11 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationComputer Vision and Pattern Recognition (CVPR), 2023 Jun S. Song Jungsoo Lee In So Kweon Sungha Choi TTA 238 127 0 03 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023 Yu Fu Yu Xie Yanwei Fu Yugang Jiang 258 65 0 18 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Tianpeng Liu CLL 193 8 0 12 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor SegmentationIEEE International Conference on Computer Vision (ICCV), 2023 Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 180 23 0 08 Feb 2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving Jiawei Liu Xingping Dong Sanyuan Zhao Jianbing Shen 3DPC 280 10 0 08 Feb 2023
Learning Prototype Classifiers for Long-Tailed RecognitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 254 16 0 01 Feb 2023
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning Malte Ostendorff Georg Rehm CLIP VLM CLL 262 34 0 23 Jan 2023
Concept Discovery for Fast AdapatationSDM (SDM), 2023 Shengyu Feng Hanghang Tong OffRL 187 0 0 19 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 167 23 0 06 Jan 2023
Smooth Mathematical Function from Compact Neural Networks I. K. Hong 127 0 0 31 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 217 5 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 233 4 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 251 6 0 16 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action RecognitionInternational Conference on Multimedia Retrieval (ICMR), 2022 Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 226 19 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 171 1 0 29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base DataAAAI Conference on Artificial Intelligence (AAAI), 2022 Seongwoong Kim Dong-Wan Choi 229 9 0 29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 158 24 0 29 Nov 2022
RankDNN: Learning to Rank for Few-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 290 23 0 28 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data BottleneckCommunications of the ACM (CACM), 2022 Chen Shani Jonathan Zarecki Dafna Shahaf 129 7 0 15 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for RetrievalAsian Conference on Computer Vision (ACCV), 2022 Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 113 13 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine TransformerIEEE Access (IEEE Access), 2022 Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 216 18 0 13 Nov 2022
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG SignalsBiomedical engineering and physics express (BEPE), 2022 Ning Ding Ce Zhang A. Eskandarian 132 6 0 07 Nov 2022
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting Naifeng Zhang Shan Jia Siwei Lyu Xin Li AAML 212 1 0 27 Oct 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality SequencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Wei Han Hui Chen MingSung Kan Soujanya Poria 179 16 0 23 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022 Jiayun Luo Boyang Albert Li Cyril Leung 334 22 0 20 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 184 1 0 13 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 177 4 0 07 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yinan Han Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 213 29 0 01 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionEuropean Conference on Computer Vision (ECCV), 2022 Yipeng Gao Lingxiao Yang Yunmu Huang Song Xie Shiyong Li Weihao Zheng ObjD 201 34 0 22 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and RecombinationPattern Analysis and Applications (PAA), 2022 S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 159 2 0 20 Sep 2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification Furkan Pala I. Rekik 179 3 0 13 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 152 8 0 07 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 267 55 0 26 Aug 2022
Image augmentation improves few-shot classification performance in plant disease recognition Frank Xiao 73 0 0 25 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2022 Yunqing Zhao Ngai-Man Cheung BDL 225 18 0 23 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot LearningInternational Conference on Neural Information Processing (ICONIP), 2022 Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 159 1 0 20 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source StylizationInternational Conference on Information Photonics (ICIP), 2022 Huali Xu Shuaifeng Zhi Tianpeng Liu 311 7 0 17 Aug 2022
Blind Users Accessing Their Training Images in Teachable Object RecognizersInternational ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2022 Jonggi Hong Jaina Gandhi Ernest Essuah Mensah Farnaz Zamiri Zeraati Ebrima Jarjue Kyungjun Lee Hernisa Kacorri VLM 232 21 0 16 Aug 2022
Identifying Hard Noise in Long-Tailed Sample DistributionEuropean Conference on Computer Vision (ECCV), 2022 Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 203 27 0 27 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient DataEuropean Conference on Computer Vision (ECCV), 2022 Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 218 24 0 25 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph GenerationEuropean Conference on Computer Vision (ECCV), 2022 Kepeng Xu Haoxuan Qu Jason Kuen Jiuxiang Gu Jun Liu CML 236 28 0 23 Jul 2022
Few-shot Image Generation Using Discrete Content RepresentationACM Multimedia (ACM MM), 2022 Y. Hong Li Niu Jianfu Zhang Liqing Zhang DiffM 140 13 0 22 Jul 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaEuropean Conference on Computer Vision (ECCV), 2020 Y. Hong Li Niu Jianfu Zhang Liqing Zhang GAN 199 37 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 304 0 0 21 Jul 2022