Tracks

LOD 2023 Workshop

“Foundation Models – From Theory to Industrial Applications”

The Wordsword Hotel & SPA – Grasmere – Lake District, England 

Lecture Hall: Coleridge Suite

September 25-26, 2023

 

  • Language – Large Language Models (e.g., GPT family, BERT, Megatron-Turing NLG, …)
  • Vision – Large Vision Models (e.g., MAE, SimCLR, …)
  • Vision and Language (e.g., DALL.E, ALIGN, CLIP, …)
  • Beyond Vision and Language (e.g., Video, Knowledge-Graph, Structured Data, Multilingual, …)

Speakers (TBA)

Important Dates

  • Workshop paper submission deadline: Saturday June 10, 2023 (AoE)
  • Workshop paper acceptance decision to authors: by Monday July 10, 2023
  • Camera Ready Submission Deadline: by Monday July 10, 2023
  • All workshop papers must be submitted using EasyChair.
  • Workshop dates: September 25-26, 2023

All accepted papers  will be published in a volume of the series on Lecture Notes in Computer Science (LNCS) from Springer – Nature after the  conference (Conference Post-Proceedings).

The call for papers (CfP) for the LOD 2023 workshop on “Foundation Models” is the same CfP used for the entire LOD 2023 conference.

Organizer and Chair: Giuseppe Nicosia (giuseppe.nicosia.1@gmail.com)

 

LOD 2023 Tracks

  • Track on “AI for Fintech“
  • Track on “AI for Genome-scale Models“
  • Track on “AI for Medicine and Biology“
  • Track on “AI for Sustainability“
  • Track on “AI to help to fight Climate Change“
  • Track on “Artificial General Intelligence“
  • Track on “Biologically Plausible Learning“
  • Track on “Data Science for Sustainable Cities“
  • Track on “Deep Learning for Bioengineering and Synthetic Biology“
  • Track on “Deep Learning for Economic Applications“
  • Track on “Deep Learning for Genomics“
  • Track on “Deep Learning for Graphs“
  • Track on “Deep Neuroevolution“
  • Track on “Generative Adversarial Networks“
  • Track on “Generative Artificial Intelligence“
  • Track on “Geometric Deep Learning“
  • Track on “Integrative Machine Learning“
  • Track on “Large Language Models” part of the Workshop on “Foundation Models“
  • Track on “Large Vision Models” part of the Workshop on “Foundation Models“
  • Track on “Vision and Language” part of the Workshop on “Foundation Models“
  • Track on “Beyond Vision and Language” part of the Workshop on “Foundation Models“
  • Track on “Multi-Objective Optimization“
  • Track on “Multi-Task Learning“
  • Track on “Reinforcement Learning“
  • Track on “AI for Network/Cloud Management” (TBC)