label-smoothing
There are 30 repositories under label-smoothing topic.
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
lxztju/pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
yuanli2333/Teacher-free-Knowledge-Distillation
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Kyubyong/label_smoothing
Corrupted labels and label smoothing
UCSC-REAL/negative-label-smoothing
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
ShowLo/MobileNetV3
An implementation of MobileNetV3 with pyTorch
by-liu/MbLS
Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/2111.15430
wangleiofficial/label-smoothing-pytorch
label smoothing PyTorch implementation
chenllliang/MLS
Source code of our paper "Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation" @ACL-2022
ChunjingXiao/WiTeacher
Mean Teacher-based Cross-Domain Activity Recognition using WiFi Signals, IoTJ 2023
julilien/LabelRelaxation
Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.
bhulston/Time-Series-Prediction-with-LSTM-and-XGB
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
viig99/LS-ACELoss
Label smoothed Aggregation cross entropy loss for generalisation in sequence to sequence tasks.
Kageshimasu/focal-loss-with-smoothing
Label Smoothing applied in Focal Loss
sutd-visual-computing-group/LS-KD-compatibility
[ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render high performance students.
cjf8899/simple_tool_pytorch
:package:Simple Tool Box with Pytorch
Evgeneus/Label-Smoothing-in-Text-Classification
Soft Target and Label Smoothing in Text Classification for Probability Calibration of Output Distributions.
adigasu/GeoLS
Adding Image-context in the Label Smoothing process via Geodesic distance
kochlisGit/Tensorflow-MNIST-State-Of-The-Art
Building High Performance Convolutional Neural Networks with TensorFlow
manhph2211/CLS-Template
A simple template for classifying things
AndreiMoraru123/Neural-Machine-Translation
Modern Eager TensorFlow implementation of Attention Is All You Need
Decadz/Sparse-Label-Smoothing-Regularization
PyTorch code for Sparse Label Smoothing Regularization presented in "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning" (TPAMI-2023). Paper Link: https://arxiv.org/abs/2209.08907
LEYA-HSE/BiBiER
BiBiER: A Bilingual Bimodal Emotion Recognition Method with Improved Generalization through Data Augmentation
Moddy2024/Anime-Face-Generation
Anime Face Generation using GANS and Label Smoothing.
Shawn-Guo-CN/Multiple-Generation-Based-Knowledge-Distillation
Multiple Generation Based Knowledge Distillation: A Roadmap
arp95/adversarial_attacks_neural_networks
Label Smoothing and Adversarial Robustness
julilien/MemorizationDilation
Code for "Memorization-Dilation: Modeling Neural Collapse under Noise" as published at ICLR 2023.
alexmirrington/class-conditional-label-noise
Implementations of different loss-correction techniques to help deep models learn under class-conditional label noise.
lix-byte/Image-classification
deep-learning image classification resnet50
ENSTA-U2IS-AI/Label-smoothing-Selective-classification-Code
Official implementation of the ICLR paper "Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It"