zj-jayzhang

awesome-dataset-distillation

Data-Free-Transfer-Attack

Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)

DENSE

Official PyTorch implementation of DENSE (NeurIPS 2022)

FedAvg

This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.

FedAvg_label_skew

Federated-Class-Continual-Learning

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

Federated_Generative_Learning

This is the code for "Federated Generative Learning with Foundation Models"

Guided_Adversarial_Examples

Official PyTorch implementation of Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning (ICIP 2022)

long-tail-ldam

This is not the official implementation of LDAM-DRW in the paper Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss in PyTorch.

visualization

This repository implements visualization of tsne and sphere features.

zj-jayzhang/Federated-Class-Continual-Learning

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

zj-jayzhang/FedAvg

This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.

zj-jayzhang/Federated_Generative_Learning

This is the code for "Federated Generative Learning with Foundation Models"

zj-jayzhang/DENSE

Official PyTorch implementation of DENSE (NeurIPS 2022)

zj-jayzhang/Data-Free-Transfer-Attack

Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)

zj-jayzhang/awesome-dataset-distillation

zj-jayzhang/long-tail-ldam

This is not the official implementation of LDAM-DRW in the paper Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss in PyTorch.

zj-jayzhang/Guided_Adversarial_Examples

Official PyTorch implementation of Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning (ICIP 2022)

zj-jayzhang/visualization

This repository implements visualization of tsne and sphere features.

zj-jayzhang/FedAvg_label_skew

zj-jayzhang/FedNTD

(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

zj-jayzhang/slurm_ddp

Slurm Workload Manager (with DistributedDataParallel)

zj-jayzhang/zj-jayzhang.github.io

zj-jayzhang/Acc-DD

Code for Accelerating Dataset Distillation via Model Augmentation, CVPR 2023

zj-jayzhang/ChatGPT-API-version

Simply calling chatgpt APIs and store chat history in csv

zj-jayzhang/decoupling_robustness-

zj-jayzhang/Efficient-Dataset-Condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

zj-jayzhang/fed_toy

zj-jayzhang/fedpa

Federated posterior averaging implemented in JAX

zj-jayzhang/GradientEpisodicMemory

Continuum Learning with GEM: Gradient Episodic Memory

zj-jayzhang/KD_Adv

knowledge distillation with adversarial examples.

zj-jayzhang/template_torch

zj-jayzhang/v162

Proceedings of ICML 2022

zj-jayzhang/website_jay