Green Foundation Models Call for Papers

1st Workshop on Green Foundation Models - ECCV2024@Milano

Please find below the call for papers regarding our workshop on Green
Foundation Models in conjunction with ECCV2024@Milano.

Scope: Foundation models, trained on internet-scale data, have
significantly revolutionized our approach to solving problems in both
Computer Vision and Natural Language Processing. Despite the exciting
progress, developing foundation models requires large compute
resources, incurring heavy environmental costs. For instance, CLIP
reports the use of hundreds of GPUs and LLaMA-2 family reportedly led
to an emission of 539 tCO2eq, requiring about 27k trees in one year to
capture those emissions! To curb this detrimental impact on our
environment, the first-ever workshop on Green Foundation Models
(GreenFOMO) @ECCV2024 will bring researchers from academia and
industry to discuss and promote novel methodologies for efficient
pre-training of foundation models and their exploitation in downstream
tasks with little to no training effort. GreenFOMO also welcomes works
in domains that induce green impacts, such as biodiversity,
agriculture, food security, etc. We believe that GreenFOMO will boost
momentum around emerging research areas, promoting an inclusive AI
ecosystem that supports small and medium-sized enterprises, academic
labs, and practitioners who are dedicated to making a positive
environmental impact on society.

Topics: 

    Training-free methods
    Parameter efficient fine-tuning
    Model compression and pruning
    Token reduction
    Light-weight models
    Personalization of VLMs
    Uni-(multi-)modal reasoning
    Continual/transfer learning
    Novel applications for sustainability/biodiversity

Submission Deadline: July 12th 23:59, 2024, Anywhere on Earth

Any query regarding the workshop, please write to: greenfomo@googlegroups.com