小島秀夫 😑

Woah another paper out! "Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning" Accepted at #IJCNN 2022 :) Here's a preprint :D arxiv.org/abs/2105.14106

Uh oh, it seems that these days are great...I published anoher paper!! In #CVPR2022 T4V workshop. Mmmm and this one is a 𝕊𝕠𝕝𝕠 paper, meaning single authored :D "Simpler is Better: off-the-shelf Continual Learning through Pretrained Backbones" arxiv.org/abs/2205.01586

I was sleeping, but my co-author Saurav Jha updated me ASAP. I'm happy to say that we won the runner-up paper award at CLVISION workshop of #CVPR2022 We are among the first to investigate continual learning in transformers! link to the paper arxiv.org/abs/2203.13167

Congrats to the runner-up paper award, winning $500 from the MATRIX project. "Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization"

Onboard view from Falcon 9’s flight to space and back during smallsat rideshare mission

Absolutely unreal.

w0ah big news! Glad that our paper "MIND: Multi-Task Incremental Network Distillation" has been accepted in the main conference track at #AAAI24 , one of the main main conferences in the world about artificial intelligence. arxiv.org/abs/2312.02916

Should we acquire Stability and open-source SD3?

This is how big elephant herds used to be (1950s)

Kojima designing the maps and camera positions for Metal Gear Solid with Lego is one of my fave behind the scenes gamedev moments

We're excited to announce that our paper, “Dynamic Label Injection for Imbalanced Industrial Defect Segmentation,” has been accepted to the VISION workshop at #ECCV2024 , hosted by Apple ! 🎉 Check out our preprint here: arxiv.org/abs/2408.10031 #Apple #industrial #AI

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Built a small Neural Gas playground to visualize how centroids adapt to a dataset and approximate its structure. Simple algorithm, surprisingly expressive. francesco-p.github.io/res/neural-gas…