Neel Joshi (@neelsj) 's Twitter Profile
Neel Joshi

@neelsj

Researcher at Microsoft working in computer vision and machine learning

ID: 30160016

linkhttp://research.microsoft.com/~neel/ calendar_today10-04-2009 04:24:36

446 Tweet

346 Followers

692 Following

Microsoft Research (@msftresearch) 's Twitter Profile Photo

At Microsoft Research, we aim to empower the next generation of exceptional computing research talent. Today, we're thrilled to announce and congratulate this year's Microsoft Research PhD Fellowship recipients from around the world: aka.ms/AAe3tub

Microsoft Research (@msftresearch) 's Twitter Profile Photo

How can we fully leverage online videos for self-supervised learning? Today, we are releasing ACAV100M, an automatic dataset curation pipeline and the largest video dataset for self-supervised video representation learning. aka.ms/AAehz35

Neel Joshi (@neelsj) 's Twitter Profile Photo

The Computer Vision Group @ MSR Redmond is hiring interns. Please spread the word and apply if you are interested! Microsoft Research careers.microsoft.com/us/en/job/1196…

Neel Joshi (@neelsj) 's Twitter Profile Photo

Grr, americanair cancelled our held reservation before the time the email said it was held for. Had to book a new ticket and it cost us $400 more. What’s the purpose of providing an option to hold tickets if you don’t actually hold them?!?

Philadelphia Phillies (@phillies) 's Twitter Profile Photo

It's been an unbelievable journey. We didn't just hear your support, we felt it. None of this would have been possible without you. Thank you for everything.

It's been an unbelievable journey. We didn't just hear your support, we felt it. None of this would have been possible without you.

Thank you for everything.
Microsoft Research (@msftresearch) 's Twitter Profile Photo

HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks: msft.it/60139Uv4d

HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks: msft.it/60139Uv4d
Besmira Nushi 💙💛 (@besanushi) 's Twitter Profile Photo

📣Spring hiring: AI Frontiers at Microsoft Research is looking for researchers passionate about in-depth understanding and rigorous evaluation of foundation models and multi-agent systems: jobs.careers.microsoft.com/global/en/job/…. Learn more about the group here: microsoft.com/en-us/research…. This

Ece Kamar (@ecekamar) 's Twitter Profile Photo

Join us in shaping the future of AI! AI Frontiers is a lab inside Microsoft Research with a mission to unlock new AI capabilities and solve real-world problems. We are hiring researchers and engineers in our teams based in Redmond and NYC. Apply here: microsoft.com/en-us/research…

Taein Kwon (@taeinkwon1) 's Twitter Profile Photo

I am delighted to announce our HoloAssist challenges at the EgoVis (egovis.github.io) #CVPR2024 workshop. HoloAssist is a large-scale egocentric human interaction dataset, where two people collaboratively complete physical manipulation tasks using HoloLens2.

I am delighted to announce our HoloAssist challenges at the EgoVis (egovis.github.io) #CVPR2024 workshop. 

HoloAssist is a large-scale egocentric human interaction dataset, where two people collaboratively complete physical manipulation tasks using HoloLens2.
Neel Joshi (@neelsj) 's Twitter Profile Photo

Excited to announce the release of Eureka, an open-source framework for evaluating and understanding large language and multimodal models! I’m really proud of the team. This is important work and crucial to have it be public and open.

Microsoft Research (@msftresearch) 's Twitter Profile Photo

Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows. Learn more: msft.it/6012ohgli

Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows. Learn more: msft.it/6012ohgli
John Langford (@johnclangford) 's Twitter Profile Photo

A new post: Headroom for AI Development hunch.net/?p=13763046 . It's quite interesting to compare biological and silicon capabilities.

Dimitris Papailiopoulos (@dimitrispapail) 's Twitter Profile Photo

We’ve been cooking... a new open weights 14B Phi-4 reasoning model, SFT’d on ~1.4M carefully curated reasoning demonstrations from o3-mini and RL’d for a tiny bit. This model is a little beast.

We’ve been cooking... a new open weights 14B Phi-4 reasoning model, SFT’d on ~1.4M carefully curated reasoning demonstrations from o3-mini and RL’d for a tiny bit. This model is a little beast.
Suriya Gunasekar (@suriyagnskr) 's Twitter Profile Photo

I am thrilled to share our newest Phi models. This time we went all in on post-training to produce Phi-4-reasoning (SFT only) and Phi-4-reasoning-plus (SFT + a touch of RL) — both 14B models that pack a punch in a small size across reasoning and general purpose benchmarks🧵

I am thrilled to share our newest Phi models. This time we went all in on post-training to produce Phi-4-reasoning (SFT only) and Phi-4-reasoning-plus (SFT + a touch of RL) — both 14B models that pack a punch in a small size across reasoning and general purpose benchmarks🧵
Ahmed Awadallah (@ahmedhawadallah) 's Twitter Profile Photo

Tech Report: aka.ms/phi-reasoning/… Azure Foundry: ai.azure.com/explore/models… HF: huggingface.co/microsoft/Phi-… huggingface.co/microsoft/Phi-… huggingface.co/microsoft/Phi-…

Ahmed Awadallah (@ahmedhawadallah) 's Twitter Profile Photo

One of the secret weapons we had in doing the phi-4-resoning report is Eureka: github.com/microsoft/eure… Eureka and our eval team have been doing an amazing job with adding new benchmarks to doing deeper analysis of results beyond single-score statistics.

Vidhisha Balachandran (@vidhisha_b) 's Twitter Profile Photo

📌 You can now find all the evaluation logs (and reasoning traces for common benchmarks!) from our inference-time scaling report and the Phi-4 reasoning report at  huggingface.co/datasets/micro…. The evaluation code can be found at Eureka ML Insights: github.com/microsoft/eure….

Neel Joshi (@neelsj) 's Twitter Profile Photo

My team at Microsoft Research, working in multimodal, AI is hiring! Please apply if you are interested in working at the cutting edge of multimodal generative AI. jobs.careers.microsoft.com/global/en/job/…