Asst. Professor at UC Merced CSE Mi3 Lab: Machine Intelligence, Interaction, and Imagination Intelligent Vehicles Research w/ UCSD LISA (https://xitter.cf/t.co/N4FmD93H8B)
La Jolla, CA
Joined December 2022
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Ross Greer retweeted
I gradually realized just how lucky I was to have an advisor with such first reaction
Let us protect our community together
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Ross Greer retweeted
ICLR has placed OpenReview in a difficult position, so I want to offer a few words about the OpenReview team working behind the scenes.
OpenReview has long been operated at UMass Amherst as a non-profit organization founded by Andrew McCallum. Each year, Andrew must raise more than $2 million to support a 20-person team that provides essential infrastructure for most major conferences.
I once asked Andrew what might have been a naïve question: whether he had considered developing a business model for OpenReview, given its prominence and the seemingly obvious opportunities. He pushed back, explaining that everything he has done for OpenReview is driven by a commitment to serve and strengthen the academic community. He is willing to devote significant personal effort to ensure the platform remains freely accessible to all.
We should not blame such a brilliant and dedicated team for an accidental issue. Otherwise, fewer people would be willing to shoulder this kind of responsibility in the future.
Deep respect to the OpenReview team! I’m grateful for their work and happy to support in any way!
Ross Greer retweeted
Active Learning selects samples iteratively during training (online), while
Data Filtering rejects samples upfront before training starts (offline).
This significantly impacts how we approach data selection, but why should we phrase this as "selection vs. rejection"?
2/11
📣 4 days left to submit your work to the Foundation Models for V2X Cooperative Autonomous Driving workshop at CVPR (drivex-workshop.github.io)
📝 Deadline: March 26, 2025
🗣️𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: T. Darrell, C. Stachniss, M. Pavone, L. Leal-Taixé, and many more!
Ross Greer retweeted
Fixing the RANSAC Stopping Criterion
Johannes Schönberger, @visionviktor @mapo1
tl;dr: original RANSAC formula for number of iterations underestimates for hard cases and overestimates for easy. Here is corrected one -> better results
arxiv.org/abs/2503.07829
Ross Greer retweeted
Introducing Gaze-LLE, a new model for gaze target estimation built on top of a frozen visual foundation model!
Gaze-LLE achieves SOTA results on multiple benchmarks while learning minimal parameters, and shows strong generalization
paper: arxiv.org/abs/2412.09586
Very excited to be at ICPR in Kolkata this week!
I will presenting with Mohan Trivedi at the Intelligent Mobility in Unstructured Environments workshop, sharing ways that VLMs may be used in novelty recognition and control transitions.
Please reach out if you are attending!
Ross Greer retweeted
🎉 New Pre-print! 🎉
Do CLIP models truly generalize to new, out-of-domain (OOD) images, or are they only doing well because they’ve been exposed to these domains in training? Our latest study reveals that CLIP’s ability to “generalize OOD” may be more limited than previously assumed!
Preprint available at: arxiv.org/abs/2410.08258 🧵 1/8
Ross Greer retweeted
Proud to be an alumnus of the amazing AI x Music group at @UCSanDiego 🤘
Go Tritons 🔱
We’ve just launched our official Twitter (X) account! We’ll be sharing exciting AI x Music projects from UCSD (PIs: @McAuleyLabUCSD @BergKirkpatrick and Shlomo Dubnov) Stay tuned for updates on our ISMIR participation!
Ross Greer retweeted
We figured out a way to solve long-horizon planning problem by composing a bunch of modular diffusion models in a factor graph!
This allows us to reuse the diffusion models in unseen new tasks and achieve zero-shot generalization to multi-robot collaborative manipulation tasks.
This is another solid step in our effort to Task and Motion Planning as a fully generative problem. More to come & stay tuned.
How can robots compositionally generalize over multi-object multi-robot tasks for long-horizon planning?
At #CoRL2024, we introduce Generative Factor Chaining (GFC), a diffusion-based approach that composes spatial-temporal factors into long-horizon skill plans. (1/7)
Ross Greer retweeted
"Make sure that your model can overfit on small training set" might be the single best sanity check when building ML models. It helped me solve countless implementation errors and to better understand capacity. I first heart it from @fchollet, thanks!
Ross Greer retweeted
The year is 2027, NeurIPS tickets are now sold on Ticketmaster and the black market for thousands. Only 5 companies and friends can get in. It's easier to get tickets to the Taylor Swift concert next door so you can sneak into the poster halls
Due to a high demand for registrations, NeurIPS will be moving towards a randomized lottery system, effective immediately. Authors of accepted conference and workshop papers are still guaranteed registration, but this may change as we release spots to the lottery, so we urge authors to register ASAP.
Read more:
blog.neurips.cc/2024/10/29/n…
Ross Greer retweeted
Super excited to finally get this dataset out!
250K MusicXML files.
All public domain/CC-0 🎉
Here's to open, ethical AI Music! Full thread in a bit 👀
``PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing,'' Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian McAuley, ift.tt/TzLHuEQ
Ross Greer retweeted
This is absolutely wild 🤯, I just downloaded the "Attention is all you need paper", uploaded to NotebookLM and and it generated a podcast-style conversation between two people discussing the paper. And it gets the gist of the paper pretty accurately.
Check out NotebookLM! Create a notebook, upload one or more sources (e.g. PDFs of research papers, your favorite PhD thesis, a newspaper article, etc) then click on 'Generate' to create a podcast of two voices talking about the content you've uploaded.
blog.google/technology/ai/no…
