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🎯
Working on several projects
🎯
Working on several projects
74 followers · 9 following

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

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AvivSham/README.md

Hi 👋, I'm Aviv Shamsian

Deep Learning Researcher


About Me

  • 📫 Personal Page: avivsham.github.io
  • 🎓 PhD student - Electrical Engineering and Data Science.
  • 🚧 Currently I'm working on:
    • Multi Task Learning (MTL) & Multi Objective Optimization (MOO)
    • Personalized Federated Learning
    • Object tracking under severe conditions
    • Group Activity Recognition (GAR)
  • 💬 Reach out to me if you:
    • Want to collaborate and conduct research.
    • Need help regarding Deep Learning projects.
  • 😄 Fun fact: Played professional basketball till age of 18 🏀

Github Stats

Coverage Visitors Last Update

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  1. pFedHN pFedHN Public

    Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]

    Python 181 31

  2. AvivNavon/pareto-hypernetworks AvivNavon/pareto-hypernetworks Public

    Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]

    Python 99 15

  3. ofrikleinfeld/ObjectPermanence ofrikleinfeld/ObjectPermanence Public

    Code for our paper: *Shamsian, *Kleinfeld, Globerson & Chechik, "Learning Object Permanence from Video"

    Python 67 7

  4. AvivNavon/nash-mtl AvivNavon/nash-mtl Public

    Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

    Python 207 27

  5. iArunava/ENet-Real-Time-Semantic-Segmentation iArunava/ENet-Real-Time-Semantic-Segmentation Public

    ENet - A Neural Net Architecture for real time Semantic Segmentation

    Jupyter Notebook 279 81

  6. aiola-lab/whisper-medusa aiola-lab/whisper-medusa Public

    Whisper with Medusa heads

    Python 803 50