agentic learning ai lab
@agentic-ai-lab.bsky.social
AI research lab at New York University led by Mengye Ren
@mengyer.bsky.social
agenticlearning.ai
@mengyer.bsky.social
agenticlearning.ai
Reposted by agentic learning ai lab
Midway networks are cool: representation learning of motion and reconstruction jointly. I see similar motivation in V-JEPA 2 "AC", but I really like the execution here:
- hierarchical,
- backwards features with cross-attention.
arxiv.org/abs/2510.05558
C. Hoang, @mengyer.bsky.social
NYU
- hierarchical,
- backwards features with cross-attention.
arxiv.org/abs/2510.05558
C. Hoang, @mengyer.bsky.social
NYU
October 27, 2025 at 12:12 PM
Midway networks are cool: representation learning of motion and reconstruction jointly. I see similar motivation in V-JEPA 2 "AC", but I really like the execution here:
- hierarchical,
- backwards features with cross-attention.
arxiv.org/abs/2510.05558
C. Hoang, @mengyer.bsky.social
NYU
- hierarchical,
- backwards features with cross-attention.
arxiv.org/abs/2510.05558
C. Hoang, @mengyer.bsky.social
NYU
Check out our latest paper on representation learning from naturalistic videos →
How can we leverage naturalistic videos for visual SSL? Naturalistic, i.e. uncurated, videos are abundant and can emulate the egocentric perspective.
Our paper at ICLR 2025, PooDLe🐩, proposes a new SSL method to address the challenges of learning from naturalistic videos. 🧵
Our paper at ICLR 2025, PooDLe🐩, proposes a new SSL method to address the challenges of learning from naturalistic videos. 🧵
April 20, 2025 at 8:35 PM
Check out our latest paper on representation learning from naturalistic videos →
Reposted by agentic learning ai lab
New research by CDS MS student Amelia (Hui) Dai, PhD student Ryan Teehan, and Asst. Prof. Mengye Ren (@mengyer.bsky.social) shows that models’ accuracy on current events drops 20% over time—even when given the source articles. Presented at #NeurIPS2024.
nyudatascience.medium.com/language-mod...
nyudatascience.medium.com/language-mod...
Language Models’ Prediction of Current Events Degrades Over Time, Even With Latest Information
Language models lose accuracy on predicting events over time, even with access to up-to-date information.
nyudatascience.medium.com
January 22, 2025 at 4:57 PM
New research by CDS MS student Amelia (Hui) Dai, PhD student Ryan Teehan, and Asst. Prof. Mengye Ren (@mengyer.bsky.social) shows that models’ accuracy on current events drops 20% over time—even when given the source articles. Presented at #NeurIPS2024.
nyudatascience.medium.com/language-mod...
nyudatascience.medium.com/language-mod...