Few-Shot Learning with Metric-Agnostic Conditional Embeddings

12 February 2018

Papers citing "Few-Shot Learning with Metric-Agnostic Conditional Embeddings"

23 / 23 papers shown

Title
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 31 0 0 24 Jan 2025
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 30 0 0 26 Jan 2023
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 19 8 0 14 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 14 1 0 12 Oct 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 21 12 0 23 Aug 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 22 8 0 15 Jun 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 21 6 0 11 Apr 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Tian Yun Usha Bhalla Ellie Pavlick Chen Sun ReLM CoGe VLM LRM 31 23 0 31 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 27 21 0 30 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan-Chia Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 30 1 0 27 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
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation Kexin Feng Theodora Chaspari 11 26 0 07 Sep 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng H. Gouk Timothy M. Hospedales BDL UQCV 25 67 0 08 Jan 2021
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 33 63 0 20 Jul 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 21 50 0 19 Jun 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping-Chia Huang Winston H. Hsu 15 14 0 19 May 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 21 317 0 26 Mar 2020
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 24 182 0 05 Oct 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 13 1,751 0 08 Apr 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017