Task-Agnostic Meta-Learning for Few-shot Learning

20 May 2018

Guo-Jun Qi

Papers citing "Task-Agnostic Meta-Learning for Few-shot Learning"

50 / 175 papers shown

Title
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 27 5 0 12 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 18 10 0 26 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 19 12 0 24 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 26 100 0 17 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 19 40 0 03 Apr 2023
System-status-aware Adaptive Network for Online Streaming Video Understanding Lin Geng Foo Jia Gong Zhipeng Fan J. Liu AI4TS 32 15 0 28 Mar 2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation Weide Liu Zhonghua Wu Yang Zhao Yuming Fang Chuan-Sheng Foo Jun Cheng Guosheng Lin VLM 23 14 0 24 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 11 53 0 06 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Renrui Zhang Xiangfei Hu Bohao Li Siyuan Huang Hanqiu Deng Hongsheng Li Yu Qiao Peng Gao VLM MLLM 38 170 0 03 Mar 2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving Jiawei Liu Xingping Dong Sanyuan Zhao Jianbing Shen 3DPC 25 8 0 08 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning Yawen Cui Wanxia Deng Haoyu Chen Li Liu CLL 16 24 0 24 Jan 2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews Runcong Zhao Lin Gui Hanqi Yan Yulan He 25 3 0 03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 18 5 0 02 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection Bohao Li Chang-rui Liu Mengnan Shi Xiaozhong Chen Xiang Ji QiXiang Ye ObjD 24 5 0 15 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 29 9 0 09 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 21 7 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 22 14 0 28 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection Xiaonan Lu Wenhui Diao Yongqiang Mao Junxi Li Peijin Wang Xian Sun Kun Fu ObjD 29 33 0 27 Nov 2022
Challenges in creative generative models for music: a divergence maximization perspective Axel Chemla-Romeu-Santos P. Esling 18 4 0 16 Nov 2022
LAVA: Label-efficient Visual Learning and Adaptation Islam Nassar Munawar Hayat Ehsan Abbasnejad Hamid Rezatofighi Mehrtash Harandi Gholamreza Haffari VLM 24 1 0 19 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 23 1 0 13 Oct 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Y. Zou Chelsea Finn UQCV OOD 33 55 0 11 Oct 2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner Renrui Zhang Bohao Li Wei Zhang Hao Dong Hongsheng Li Peng Gao Yu Qiao VLM 57 7 0 25 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 34 1 0 20 Sep 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 21 6 0 31 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 32 42 0 26 Aug 2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes Yongqiang Mao Zonghao Guo Xiaonan Lu Zhiqiang Yuan Haowen Guo 3DPC 21 28 0 13 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 35 1 0 29 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 23 2 0 19 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 28 5 0 25 Jun 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation Ehtesham Iqbal Sirojbek Safarov Seongdeok Bang 20 34 0 20 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning Yichen Wu Long-Kai Huang Ying Wei OOD 6 0 0 09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 30 39 0 08 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 23 9 0 04 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 16 1 0 30 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 36 9 0 25 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 14 6 0 08 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 25 26 0 03 May 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks Shounak Datta S. S. Mullick A. Chakrabarty Swagatam Das 15 2 0 07 Apr 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 25 45 0 17 Mar 2022
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels Yiming Lei Haiping Zhu Junping Zhang Hongming Shan 35 21 0 15 Mar 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation Chunbo Lang Gong Cheng Binfei Tu Junwei Han 21 201 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 156 0 07 Mar 2022
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation Jun Seo Younghyun Park Sung Whan Yoon Jaekyun Moon ViT 11 5 0 14 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 16 7 0 04 Feb 2022
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 13 33 0 15 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 25 68 0 11 Jan 2022