Pinned Repositories
ADGAT
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
AgeFlow
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows (IJCAI 2021)
AjaxFileUpload
A jQuery plugin that simulates asynchronous file uploads.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
backdoor_federated_learning
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
BirdStudy
review all kinds of studies about java to enhance myself rather being a simple ant
FedU2
This repository is an official PyTorch implementation of paper: Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024.
FOOGD-main
Init commit
HyperFed_and_FedRANE-master
PPGenCDR
This repository is the implementation of AAAI 2023: PPGenCDR
XeniaLLL's Repositories
XeniaLLL/FedU2
This repository is an official PyTorch implementation of paper: Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024.
XeniaLLL/PPGenCDR
This repository is the implementation of AAAI 2023: PPGenCDR
XeniaLLL/HyperFed_and_FedRANE-master
XeniaLLL/FOOGD-main
Init commit
XeniaLLL/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
XeniaLLL/continuous-latent-process-flows
Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)
XeniaLLL/cornac
A Comparative Framework for Multimodal Recommender Systems
XeniaLLL/critical_look_causal_dlvms
XeniaLLL/CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
XeniaLLL/EGI
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
XeniaLLL/FedAttack
Source code of FedAttack.
XeniaLLL/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
XeniaLLL/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
XeniaLLL/glow-pytorch
PyTorch implementation of Glow
XeniaLLL/GNN-LM
XeniaLLL/HierST
The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"
XeniaLLL/HIST
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
XeniaLLL/IAPTT-GM
Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond"
XeniaLLL/M2m
Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
XeniaLLL/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
XeniaLLL/OcCo
[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
XeniaLLL/Prior-LT
XeniaLLL/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
XeniaLLL/Shift-Robust-GNNs
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
XeniaLLL/Stark
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking
XeniaLLL/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
XeniaLLL/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
XeniaLLL/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
XeniaLLL/XeniaLLL.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
XeniaLLL/xERM
[AAAI 2022] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"