Free Lunch for Few-shot Learning: Distribution Calibration

16 January 2021

Papers citing "Free Lunch for Few-shot Learning: Distribution Calibration"

50 / 70 papers shown

Title
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li Yongzhang Tan Siyuan Yang Hao Cheng Yongfeng Dong Liang Yang CLL 47 0 0 15 Apr 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 56 4 0 28 Jan 2025
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 74 3 0 20 Jul 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 48 1 0 20 May 2024
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models Parul Gupta Munawar Hayat Abhinav Dhall Thanh-Toan Do DiffM 46 1 0 25 Apr 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 44 0 0 22 Mar 2024
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 40 9 0 09 Oct 2023
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision Cong Duan Zixuan Liu Jiahao Xia Minghai Zhang Jiacai Liao Libo Cao 29 3 0 08 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 26 6 0 17 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 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 23 10 0 26 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 40 0 0 13 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 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
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 29 3 0 18 Feb 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 30 0 0 26 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 23 5 0 02 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 36 3 0 22 Dec 2022
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
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 29 1 0 05 Dec 2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 23 5 0 29 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 36 20 0 20 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 25 8 0 10 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition Youcheng Huang Wenqiang Lei Jie Fu Jiancheng Lv 6 3 0 07 Nov 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 16 1 0 12 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 21 3 0 11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 31 3 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 35 9 0 05 Oct 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 32 15 0 18 Sep 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 13 6 0 18 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya-Qin Zhang Michael W. Spratling Yanfeng Wang 27 142 0 15 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xiaomeng Li Xiaowei Xu Kwang-Ting Cheng 27 6 0 03 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 21 31 0 02 Jul 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
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
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 15 61 0 05 May 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 21 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 18 8 0 11 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 31 20 0 07 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 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
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 31 22 0 15 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 21 172 0 08 Mar 2022