TaskNorm: Rethinking Batch Normalization for Meta-Learning

6 March 2020

Papers citing "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

23 / 23 papers shown

Title
UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu Yazhe Niu Jiyuan Ren Zhenjie Yang Hongsheng Li Yu Liu OffRL 41 1 0 15 Jun 2024
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer Aymen Sadraoui Ségolène Martin Eliott Barbot A. Laurent-Bellue J. Pesquet Catherine Guettier Ismail Ben Ayed MedIm 25 2 0 29 Nov 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Hyesu Lim Byeonggeun Kim Jaegul Choo Sungha Choi TTA 24 85 0 10 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
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 44 2 0 26 Nov 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 22 8 0 26 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 28 13 0 21 Oct 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 24 47 0 23 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 13 15 0 16 Aug 2022
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification Byeonggeun Kim Seunghan Yang Jangho Kim Hyunsin Park Juntae Lee Simyung Chang 38 28 0 24 Jun 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 21 35 0 24 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang-Cuong Pham Chenghao Liu S. Hoi BDL OnRL 28 57 0 30 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 21 52 0 28 Feb 2022
Diagnosing Batch Normalization in Class Incremental Learning Minghao Zhou Quanziang Wang Jun Shu Qian Zhao Deyu Meng CLL 35 6 0 16 Feb 2022
Reciprocal Normalization for Domain Adaptation Zhiyong Huang Kekai Sheng Ke Li Jian Liang Taiping Yao Weiming Dong D. Zhou Xing Sun 35 11 0 20 Dec 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 46 10 0 18 Sep 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 39 24 0 11 Jun 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 24 26 0 06 Apr 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 24 84 0 25 Mar 2021
Meta Batch-Instance Normalization for Generalizable Person Re-Identification Seokeon Choi Taekyung Kim Minki Jeong Hyoungseob Park Changick Kim OOD 21 129 0 30 Nov 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 27 125 0 21 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017