Novel Problems in VLA [R]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I'm currently doing a research internship and my supervisor is constantly pushing me to have a novel idea, I've read about 15-20 papers about VLA and I think that most of the things are saturated, I thought about an equivariant VLA based on equivariant CNN which was published in 2016 and successfully implemented that, and then I found that someone published that too, do you guys have any advice on what I should do next,? Any suggestions are welcome!
[link] [comments]
More from r/MachineLearning
-
Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P]
Jul 2
-
How papers are selected for Best Paper, Oral, or Highlight presentation at major ML/CV conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR? [D]
Jul 2
-
BMVC 2026 Review Discussion Thread [D]
Jul 2
-
Has anyone tried this approach with Fast Byte Latent Transformers ? [R]
Jul 2
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.