https://github.com/noise-learning/SelfMix/blob/maingithub.com/noise-learning/SelfMix/blob/main 一、概述 在工业界的很多实际任务中,都难免会遇到数据中存在噪音的情况。虽然这几年大型预训练模型的出现,让噪音数据的影响没那么大了。但是噪音样本比例大于一定情况的时候,大模型也会受到影响。目前解决噪音样...
Noise-robust dictionary learningSlack block-diagonal structureStrict '0-1' block-diagonal structure has been widely used for learning structured representation in face recognition problems. However, it is questionable and unreasonable to assume the within-class representations are the same. To circumvent ...
玄野 大模型(LLM)最新论文摘要 | Software Entity Recognition with Noise-Robust Learning Authors: Tai Nguyen, Yifeng Di, Joohan Lee, Muhao Chen, Tianyi Zhang Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies...
Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning Despite the recent developments in the field of cross-modal retrieval, there has been less research focusing on low-resource languages due to the lack of manually annotated datasets. In this paper, we propose a noise-robust cross-...
原文Partially View-aligned Representation Learning with Noise-robust Contrastive Loss 本文主要是针对表征学习之中可能会出现的 Partially View-aligned Problem(PVP)问题,作者主要认为之前的很多工作都…
master 1Branch0Tags Code This branch is15 commits ahead of,2 commits behindLiJiaBei-7/nrccr:master. README License Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning source code of our paperCross-Lingual Cross-Modal Retrieval with Noise-Robust Learning ...
Specifically, we bridge the modality gap between a frozen image encoder and a large language model with a transformer and introduce two innovative learning strategies: noise-adaptive learning and concept-enhanced learning to mitigate the impact of noise. In noise-adaptive learning, we estimate the ...
We compute the derivativeof this criterion using the chain rule and optimize it using stochastic gradient descent.In the second part, we introduce a new learning rule for neural networks that is based onan auxiliary function technique without parameter tuning. Instead of minimizing the objective...
The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and Label Noise Heterogeneity", which is accepted at IJCAI'23 main track. - wnn2000/FedNoRo
A challenging, unsolved problem in the speech recognition community is recognizing speech signals that are corrupted by loud, highly nonstationary noise. One approach to noisy speech recognition is to automatically remove the noise from the cepstrum sequence before feeding...