Optimized Generic Feature Learning for Few-shot Classification across Domains

22 January 2020

Thomas Brox

Papers citing "Optimized Generic Feature Learning for Few-shot Classification across Domains"

26 / 26 papers shown

Title
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 26 3 0 13 Jan 2024
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 35 4 0 18 Dec 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis L. Dudziak Da Li Timothy M. Hospedales 35 3 0 15 Jun 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 31 2 0 23 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 44 19 0 11 Mar 2023
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings A. Enayet G. Sukthankar 18 1 0 09 Feb 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 38 3 0 22 Dec 2022
LAVA: Label-efficient Visual Learning and Adaptation Islam Nassar Munawar Hayat Ehsan Abbasnejad Hamid Rezatofighi Mehrtash Harandi Gholamreza Haffari VLM 34 1 0 19 Oct 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 44 2 0 05 Oct 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 35 12 0 15 Jun 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 21 188 0 15 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
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 54 916 1 10 Mar 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 47 9 0 13 Jan 2022
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 Jul 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 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 27 26 0 06 Apr 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 0 25 Mar 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 33 204 0 24 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 22 1 0 29 May 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 178 24 0 20 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017