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40th AAAI Conference on Artificial Intelligence, AAAI 2026

  • Mocanu, E. (Organiser)
  • Jafar Badour (Organiser)
  • Qiao Xiao (Participant)
  • Wu, B. (Organiser)
  • Decebal Constantin Mocanu (Organiser)

Activity: Participating in or organising an event › Organising a conference, workshop, ...

Description

Tutorial title: A Decade of Sparse Training: Why Do We Still Stick to Dense Training?

Abstract: This tutorial targets researchers, practitioners, and advanced students in machine learning who seek to reduce the computational and energy costs of training large neural networks without sacrificing performance. Participants will learn the theory, algorithms, and system-level aspects of dynamic sparse training (DST) across supervised learning, reinforcement learning, generative Artificial Intelligence (AI), and truly sparse implementations. The tutorial combines algorithmic foundations with practical demonstrations using open-source code and commodity hardware, offering an innovative end-to-end perspective that connects cutting-edge research to executable systems. By the end, attendees will understand DST’s performance-efficiency trade-offs, gain hands-on experience, and join a dedicated Slack community to continue discussions, share results, and collaborate on advancing DST toward sustainable, Green AI.
Period20 Jan 2026
Event typeConference
Conference number40
SponsorAssociation for the Advancement of Artificial Intelligence (AAAI)
LocationSingapore, SingaporeShow on map
Degree of RecognitionInternational

Keywords

  • Sparse Neural Networks
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Generative Artificial Intelligence
  • Continual learning
  • Efficient deep learning

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