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Hi there! 👋

I'm Nader Asadi, research MSc in CS at Mila affiliated with Concordia University, supervised by Eugene Belilovsky and Sudhir Mudur. My research interests particularly include self-supervised learning, transfer learning, continual learning, out-of-distribution generalization, and cross-modal perception.

News & Updates:

  • April 2023: PRD got accepted to ICML 2023! 🎉
  • March 2022: Our paper got accepted to CVPR 2022! 🎉
  • Jan 2022: Our paper got accepted to ICLR 2022! 🎉

For more information, please visit my personal webpage.

Nader Asadi's Projects

aml icon aml

Codebase for " Reducing Representation Drift in Online Continual Learning"

clhive icon clhive

A PyTorch framework for Continual Learning research.

designgenie icon designgenie

Interior Design AI Copilot based on ControlNet and StableDiffusion.

fedavg icon fedavg

Simple implementation of FedAvg, a Federated Learning algorithm.

n-queen icon n-queen

N-Queen problem with GA and Min-Conflict algorithm

pytorch-adain icon pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

supcontrast icon supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

torch-nerf icon torch-nerf

Pytorch implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (Mildenhall et al., ECCV 2020 Oral, Best Paper Honorable Mention) and its extension to follow-up research projects

udacity-data-engineering-projects icon udacity-data-engineering-projects

Data Engineering Nanodegree projects and exercises, including Data Modeling, Data Warehousing, Data Lake development, and Pipeline Management.

vitx icon vitx

A PyTorch framework for cross-modal perception research on top of pytorch lightning and huggingface transformers.

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