Uncertainty-Aware Distillation for Semi-Supervised Few-Shot
Class-Incremental Learning

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

24 January 2023

Papers citing "Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning"

17 / 17 papers shown

Title
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 67 0 0 15 Dec 2024
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery Ruifeng Li Wei Liu Xiangxin Zhou Mingqian Li Qiang Zhang Hongyang Chen Xuemin Lin 39 0 0 28 Oct 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 48 1 0 19 Aug 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself Yu-Ming Tang Yi-Xing Peng Jingke Meng Wei-Shi Zheng CLL 37 5 0 10 Jul 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning Wenzhuo Liu Fei Zhu Cheng-Lin Liu CLL 30 2 0 27 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning Yuanen Zhou Richang Hong Yanrong Guo Lin Liu Shijie Hao Hanwang Zhang 18 0 0 17 Mar 2024
Few-Shot Class-Incremental Learning with Prior Knowledge Wenhao Jiang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang CLL 47 1 0 02 Feb 2024
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 29 1 0 19 Jun 2023
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation Kai Ren K. Zou Xianjie Liu Yidi Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu EDL 25 12 0 17 Mar 2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less Rizhao Cai Yawen Cui Zhi Li Zitong Yu Haoliang Li Yongjian Hu Alex C. Kot CLL 34 20 0 16 Mar 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 18 0 0 24 Dec 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao SSL CLL 29 6 0 23 Jan 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 226 862 0 15 Oct 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 81 191 0 26 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 217 508 0 15 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015