🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

The Optimal Transport and Machine Learning #OTML workshop NeurIPS Conference #NeurIPS2021 is now open for submissions via @OpenReviewnet. Deadline is September 18, 2021! We look forward to your contributions! otml2021.github.io/call

We are looking for several Ph.D. interns for 2022 spring/summer/fall. We plan to cover several topics, including neural rendering, zero-shot segmentation, text--image modeling, speech/music generation, and denoising diffusion models. If interested, send your CV to me.

The ongoing consolidation in AI is incredible. Thread: ➡️ When I started ~decade ago vision, speech, natural language, reinforcement learning, etc. were completely separate; You couldn't read papers across areas - the approaches were completely different, often not even ML based.

Our team at NVIDIA Research has an open PhD internship position to work on 3D reconstruction & view synthesis problems -- please send me your CV (via email) if you're interested!

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. ERM learns multiple features that can be reweighted for SOTA on spurious correlations, reducing texture bias on ImageNet, & more! w/ Pavel Izmailov and Andrew Gordon Wilson arxiv.org/abs/2204.02937 1/11

To hear the whole story, check out our talk at #CVPR2022 oral session 4.2.3 at ⏰1:30pm⏰ in Great Hall A-D (or visit poster 39b) Paper: arxiv.org/abs/2201.10766 *Richly Annotated* Dataset: mmoayeri.github.io/RIVAL10 Joint work with Phil Yogesh Soheil Feizi

I’m looking for researchers with experiences and strong passion in large-scale image-text models to join our research team at CA. Strong knowledge on diffusion models, contrastive learning, or data curation is preferred. Team-work first, extreme hard-core, and perfection-driven.

📢📢 Our team at NVIDIA (Toronto AI Lab, nv-tlabs.github.io) is looking for strong and motivated PhD research interns! We are working at the cutting edge in diffusion models, 3D generation and much more. Email or message me with your CV and website, if you are interested.

The Megatron team at NVIDIA is hiring! We're looking for people who can contribute to any aspect of foundation model research and development: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…

Our team @NVIDIA is looking for PhD research interns for fall/winter 2023 to work on 3D generative AI applications -- please send me your CV (via email) if you're interested!

We are hiring a Ph.D. intern @ NVIDIA for research on multi-modal generative models, reinforcement learning, self-supervised representations, and 3D perception for video conferencing. If you have experience leading insightful contributions on any of these topics, DM / email me.

Interested in a commercially safe image generator? Check out this latest collaboration of Getty Images with NVIDIA. Super excited to be a part of this effort. newsroom.gettyimages.com/en/getty-image…

Excited to share PYoCo! PYoCo is a state-of-the-art text-to-video diffusion model that can generate videos up to 1024^2 resolution.

Yogesh and I will be presenting our SOTA text-to-video model PYoCo at ICCV 2023! Check out our poster this afternoon in Room "Foyer Sud" - 092!!! 📽️ Website: research.nvidia.com/labs/dir/pyoco/

🚀 Exciting news! We’re launching RELAI with a mission to make AI reliability accessible and achievable for everyone. Our first release: RELAI agents for real-time hallucination detection in popular LLMs. 👉Try it now for free at: relai.ai

Congratulations Soheil! This is a really cool tool for making LLM responses reliable.

Very excited to share our work on building Edify Image - a family of diffusion models for various image generation applications. Please check it out.

Check out NVIDIA Cosmos - world foundation model platform for advancing physical AI. I am really excited to be a part of this incredible effort. Paper link: research.nvidia.com/publication/20… Try out our models here: github.com/NVIDIA/Cosmos

Catch our #CVPR2025 poster today! 🖼️ “A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation” 📍 Exhibit Hall D, Poster #230 🕓 4:00–6:00 PM We explore how LLMs perform as text encoders for image generation—with some interesting findings! 🔗 Webpage: