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GitHub topics: label-smoothing

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

Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 1,427 - Forks: 340

CoinCheung/pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Language: Python - Size: 148 KB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 2,241 - Forks: 372

adigasu/GeoLS

Adding Image-context in the Label Smoothing process via Geodesic distance

Language: Python - Size: 2.39 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1

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"

Language: Jupyter Notebook - Size: 671 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AndreiMoraru123/Neural-Machine-Translation

Modern Eager TensorFlow implementation of Attention Is All You Need

Language: Python - Size: 1.02 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

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

Language: Python - Size: 1.13 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Kyubyong/label_smoothing

Corrupted labels and label smoothing

Language: Jupyter Notebook - Size: 801 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 128 - Forks: 23

julilien/MemorizationDilation

Code for "Memorization-Dilation: Modeling Neural Collapse under Noise" as published at ICLR 2023.

Language: Python - Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

chenllliang/MLS

Source code of our paper "Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation" @ACL-2022

Language: Python - Size: 111 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 18 - Forks: 4

yuanli2333/Teacher-free-Knowledge-Distillation

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

Language: Python - Size: 889 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 542 - Forks: 67

ChunjingXiao/WiTeacher

Mean Teacher-based Cross-Domain Activity Recognition using WiFi Signals, IoTJ 2023

Language: Python - Size: 920 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2

Shawn-Guo-CN/Multiple-Generation-Based-Knowledge-Distillation

Multiple Generation Based Knowledge Distillation: A Roadmap

Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Moddy2024/Anime-Face-Generation

Anime Face Generation using GANS and Label Smoothing.

Language: Jupyter Notebook - Size: 89.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

Evgeneus/Label-Smoothing-in-Text-Classification

Soft Target and Label Smoothing in Text Classification for Probability Calibration of Output Distributions.

Language: Python - Size: 113 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 0

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.

Language: Python - Size: 4.03 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

UCSC-REAL/negative-label-smoothing

[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"

Language: Python - Size: 337 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 73 - Forks: 9

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

Language: Python - Size: 2.3 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 40 - Forks: 6

Kageshimasu/focal-loss-with-smoothing

Label Smoothing applied in Focal Loss

Language: Python - Size: 8.79 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

kochlisGit/Tensorflow-MNIST-State-Of-The-Art

Building High Performance Convolutional Neural Networks with TensorFlow

Language: Jupyter Notebook - Size: 32.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

viig99/LS-ACELoss 📦

Label smoothed Aggregation cross entropy loss for generalisation in sequence to sequence tasks.

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 3

wangleiofficial/label-smoothing-pytorch

label smoothing PyTorch implementation

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 10

julilien/LabelRelaxation

Supplementary material and code for the novel label relaxation approach as presented at AAAI21 by Julian Lienen and Eyke Hüllermeier.

Language: Python - Size: 637 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 4

manhph2211/Template-Classifier

A simple template for classifying things

Language: Python - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

cjf8899/simple_tool_pytorch

:package:Simple Tool Box with Pytorch

Language: Python - Size: 46.9 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 0

arp95/adversarial_attacks_neural_networks

Label Smoothing and Adversarial Robustness

Language: Jupyter Notebook - Size: 207 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

alexmirrington/class-conditional-label-noise

Implementations of different loss-correction techniques to help deep models learn under class-conditional label noise.

Language: Python - Size: 7.06 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

lix-byte/Image-classification

deep-learning image classification resnet50

Language: Python - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Related Keywords
label-smoothing 28 pytorch 11 deep-learning 8 machine-learning 4 calibration 3 nlp 3 knowledge-distillation 3 machine-translation 2 noisy-labels 2 robustness 2 label-noise 2 regularization 2 focal-loss 2 ema 2 tensorflow 2 python 2 keras 2 cnn 2 dimensionality-reduction 1 data-visualization 1 hdbscan 1 convolutional-neural-networks 1 knn-classification 1 adam-optimizer 1 lenet 1 smoothing 1 mnist-classification 1 focalloss 1 gradient-tree-boosting 1 ltsm-model 1 time-series 1 crowd-labels 1 crowd-votes 1 document-management 1 label-distribution 1 soft-targets 1 text-classification 1 transformer 1 cub200-2011 1 imagenet 1 iwslt 1 systematic-diffusion 1 noisy-label-learning 1 trustworthy-machine-learning 1 focal 1 mixup 1 random-erasing-augment 1 warmup-cosine-lr 1 adversarial-attacks 1 fgsm 1 neural-networks 1 cifar 1 fashion-mnist 1 label-noise-robustness 1 loss-correction 1 mlp 1 classification 1 fine-tuning 1 medical-images 1 prediction 1 resnet-50 1 vgg16 1 outlier-detection 1 outlier-removal 1 sklearnex 1 state-of-the-art 1 supervised-learning 1 tensorflow-tutorials 1 umap 1 aggregation-cross-entropy 1 generalisation 1 pytorch-implementation 1 label-relaxation 1 comet-ml 1 efficientnet 1 randaugment 1 random-augmentation 1 template-classifier 1 autoaugment 1 densenet 1 geodesic-distances 1 image-intensity 1 image-segmentation 1 medical-image-analysis 1 medical-image-segmentation 1 segmentation 1 iclr2025 1 selective-classification 1 uncertainty-quantification 1 attention 1 beam-search 1 bleu-score 1 byte-pair-encoding 1 dot-product-attention 1 einops 1 embedding-projector 1 deployment 1 flask 1 image-classification 1 knn 1