Check out CaRA - Canonical Rank Adaptation at #icml2025 next week!
What is it? A multidimensional low-rank update for fine-tuning ViT using Canonical Polyadic (CP) factors
Paper: openreview.net/forum?id=vex...
Check out CaRA - Canonical Rank Adaptation at #icml2025 next week!
What is it? A multidimensional low-rank update for fine-tuning ViT using Canonical Polyadic (CP) factors
Paper: openreview.net/forum?id=vex...
Fri 13 Jun 10:30 a.m. CDT — 12:30 p.m. CDT
ExHall D Poster #306
Paper: openaccess.thecvf.com/content/CVPR...
Fri 13 Jun 10:30 a.m. CDT — 12:30 p.m. CDT
ExHall D Poster #306
Paper: openaccess.thecvf.com/content/CVPR...
Thanks so much for organizing! @davidpicard.bsky.social @vickykalogeiton.bsky.social and @matthieucord.bsky.social
Thanks so much for organizing! @davidpicard.bsky.social @vickykalogeiton.bsky.social and @matthieucord.bsky.social
➡️Use VLMs to generate frame-wise video descriptions
➡️Use LLMs to filter concepts: objects, verbs, activities (see example below)
➡️Analyze three types of bias:
🔹Concept bias (objects only? verbs only? )
🔹Temporal bias (single frame enough?)
🔹Common sense vs dataset bias
➡️Use VLMs to generate frame-wise video descriptions
➡️Use LLMs to filter concepts: objects, verbs, activities (see example below)
➡️Analyze three types of bias:
🔹Concept bias (objects only? verbs only? )
🔹Temporal bias (single frame enough?)
🔹Common sense vs dataset bias
Remember to sign off the checklist before going to 🛌 or going 🏠!
Two more points on personal experience:
- NO! acknowledgements to funding sources or urls which can be considered identifying information.
-Entered the paper ID in latex?
Remember to sign off the checklist before going to 🛌 or going 🏠!
Two more points on personal experience:
- NO! acknowledgements to funding sources or urls which can be considered identifying information.
-Entered the paper ID in latex?
Convolutional Differentiable Logic Gate Networks
It's what it says - a ConvNet builds exclusively from logic gates (the basic stuff).
And Felix did a great video:
Convolutional Differentiable Logic Gate Networks
It's what it says - a ConvNet builds exclusively from logic gates (the basic stuff).
And Felix did a great video: