EMP325

Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

AdversaryLossLandscape

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]

AMP-Regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Analytical-Learning-Theory

97.39% on CIFAR10 with PyTorch

ANL

Code for "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"

ASAM

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

awesome-latex-cv

Latex CV template built with Font Awesome.

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

spectral-density-tf-tf2-jax

Hessian spectral density estimation in TF and Jax

EMP325/Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

EMP325/AdversaryLossLandscape

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]

EMP325/AMP-Regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

EMP325/ANL

Code for "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"

EMP325/ASAM

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

EMP325/awesome-latex-cv

Latex CV template built with Font Awesome.

EMP325/deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

EMP325/deeplearningtheory

EMP325/DLTH

EMP325/Efficient_SAM

EMP325/Friendly-Adversarial-Training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

EMP325/GAM

The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".

EMP325/GSAM

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

EMP325/LPF-SGD

EMP325/O2U-Net

paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code

EMP325/PAC-Bayes-IB

Official repo for PAC-Bayes Information Bottleneck.

EMP325/PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

EMP325/pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

EMP325/R-Drop

EMP325/RMSGD

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

EMP325/SAF

EMP325/sam

SAM: Sharpness-Aware Minimization (PyTorch)

EMP325/SAM-ON

EMP325/tied-augment

Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

EMP325/TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

EMP325/TWA

Trainable Weight Averaging for Fast Convergence and Better Generalization

EMP325/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

EMP325/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

EMP325/WSAM

WSAM

EMP325/YOLOv4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO