🔥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

🔗 Visit our GitHub repository for further insights: github.com/facebookresear… Special thanks to my amazing collaborators: Diane Bouchacourt Mark Ibrahim Nicolas Ballas, Pascal Vincent, and David Lopez-Paz

Representation learning is often done by considering samples to be either identical (same class, positive pairs) or not–with no middle ground. We propose 𝕏-CLR to learn from soft inter-sample relationships, and get better accuracy & improved robustness. arxiv.org/abs/2407.18134

A soft similarity graph improves contrastive learning for image recognition. By Vlad Sobal and a cast of characters from Meta FAIR, NYU, and Brown.

Meta announces UniBench Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling discuss: huggingface.co/papers/2408.04… Significant research efforts have been made to scale and improve vision-language model (VLM) training approaches. Yet, with an ever-growing number of

New research from Meta FAIR: UniBench is a unified implementation of 50+ VLM benchmarks spanning a comprehensive range of carefully categorized capabilities from object recognition to spatial awareness, counting and much more. Research paper ➡️ go.fb.me/fa97z9

Work done w/ amazing collaborators Oscar Mañas @ ICLR, Reyhane Askari, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada, Marton Havasi, Yohann Benchetrit, Dr. Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

🚀 Excited to share our work at #NeurIPS2024! We show how billion parameter VLMs lose to a two-layer MLP on MNIST. Come by our poster presentation at West Ballroom A-D #5211, today from 4:30–7:30 PM PST. A 🧵:

𝕏-CLR got accepted to ICLR 2025 ICLR 2026! See you in Singapore! It was also recently mentioned in The Batch by DeepLearning.AI (issue 284) Thank you again to my collaborators: Mark Ibrahim Randall Balestriero Vivien Cabannes Diane Bouchacourt Pietro Astolfi Kyunghyun Cho Yann LeCun

The last paper of my PhD is finally out ! Introducing "Intuitive physics understanding emerges from self-supervised pretraining on natural videos" We show that without any prior, V-JEPA --a self-supervised video model-- develops an understanding of intuitive physics !

Join us as a PhD research intern at FAIR w/ Polina Kirichenko @ CVPR Kamalika Chaudhuri to start this summer or fall with a focus on open science into multimodal models, agents and beyond! Email [email protected] with the title [Prospective Intern 2025] and attach your CV if interested!

Join us at #CVPR2025 Demographic Diversity in Computer Vision workshop tomorrow! 📅 Wednesday, June 11, 9am-6pm 📍 room 213 (main session) + Hall D (poster sessions), the Music City Center We have an amazing lineup of speakers and panelists! Can't wait to meet you all there :)