Rob Fergus

2/ Meta's commitment to FAIR & research is unwavering. We're working towards building human-level experiences that transform technology & are dedicated to advancing AI research.

1/ Excited to share that I’m taking on the role of leading Fundamental AI Research (FAIR) at Meta. Huge thanks to Joelle for everything. Look forward to working closely again with Yann & team.

@ylecun @ylecun @AravSrinivas recent Proto-RL (arxiv.org/pdf/2102.11271…) that uses ideas from both CURL and DrQ gets us closer to the LeCake, as it's contrastively learned representations are **fully detached** from RL, besides they can be learned with just the MaxEnt objective.

Happy to share my new work -- Proto-RL, a task-agnostic pre-training scheme that reconciles exploration and representation learning in image-based RL! with: @rob_fergus, Alessandro Lazaric, and @LerrelPinto. paper: arxiv.org/pdf/2102.11271… code: github.com/denisyarats/pr… [1/N]

Excited to share an update to our work on evolutionary-scale modeling (ESM)! Over the past year, we rewrote our paper with better pretraining and downstream models, leading to state-of-the-art results across multiple benchmarks. (1/8) biorxiv.org/content/10.110…

Excited to share our new paper “Automatic Data Augmentation for Generalization in Deep Reinforcement Learning” w/ @maxagoldstein8, @denisyarats, @ikostrikov, and @rob_fergus! Paper: arxiv.org/pdf/2006.12862… Code: github.com/rraileanu/auto… Website: sites.google.com/view/ucb-drac

@koraykv @DeepMind @koraykv @demishassabis Thanks for the warm welcome - excited to be working with you both and look forward to getting to know the rest of the team!

Welcome @Rob_Fergus to @DeepMind. He's a computer vision and deep learning pioneer & a leading scientist in AI. I’m delighted he’s joined @DeepMind (remaining Prof @ NYU), looking forward to working with him again many years after we were at NYU.

Great work from my PhD students @denisyarats and @ikostrikov !