Few-shot Learning with Noisy Labels

12 April 2022

Kevin J Liang

Samrudhdhi B. Rangrej

Papers citing "Few-shot Learning with Noisy Labels"

24 / 24 papers shown

Title
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels Shizhuo Deng Bowen Han Jiaqi Chen Hao Wang Dongyue Chen Tong Jia VLM NoLa 71 0 0 17 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 67 0 0 15 Dec 2024
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels Maria Marrium Arif Mahmood Mohammed Bennamoun NoLa AAML 31 0 0 05 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 51 1 0 19 Aug 2024
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models Eman Ali Sathira Silva Muhammad Haris Khan VLM 31 0 0 16 Aug 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 29 2 0 11 May 2024
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Dongmei Dong Zheng Li Wei Yang Zhigang Han Jiayao Wang 13 0 0 22 Jan 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 25 2 0 22 Dec 2023
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data M. Olson Shusen Liu Jayaraman J. Thiagarajan B. Kustowski Weng-Keen Wong Rushil Anirudh AI4CE 26 1 0 06 Dec 2023
Batch Selection and Communication for Active Learning with Edge Labeling Victor Croisfelt Shashi Raj Pandey Osvaldo Simeone P. Popovski 19 0 0 14 Nov 2023
Noise-Tolerant Unsupervised Adapter for Vision-Language Models Eman Ali Dayan Guan Muhammad Haris Khan Abdulmotaleb Elsaddik VLM 22 0 0 26 Sep 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 13 3 0 20 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise Jeroen Galjaard Robert Birke Juan F. Pérez Lydia Y. Chen NoLa 17 0 0 12 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 21 8 0 02 Sep 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 14 1 0 31 Jul 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 23 0 0 02 Jun 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 41 19 0 11 Mar 2023
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset Hao Tang Kevin J Liang Matt Feiszli Weiyao Wang EgoV 27 15 0 09 Jan 2023
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 30 20 0 20 Nov 2022
Robust Active Distillation Cenk Baykal Khoa Trinh Fotis Iliopoulos Gaurav Menghani Erik Vee 31 10 0 03 Oct 2022
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings Ashish Gupta Hari Prabhat Gupta Sajal K. Das 26 1 0 03 Sep 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection Li Yin Juan-Manuel Perez-Rua Kevin J Liang ObjD 25 35 0 25 Mar 2022
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 206 330 0 22 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017