Dalin Guo (@dalinguo) 's Twitter Profile
Dalin Guo

@dalinguo

currently @GoogleDeepMind previously @twitter

ID: 2326230866

linkhttps://dalinguo.github.io/ calendar_today04-02-2014 00:28:39

121 Tweet

239 Followers

441 Following

Neuromatch (@neuromatch) 's Twitter Profile Photo

🚀 Applications for NMA-CN and NMA-DL opens NOW! 🚀 Applications for interactive students and teaching assistants stay open until May 7th 2021. Faculty interested in being project mentors can use the same portal to apply: portal.neuromatchacademy.org

Rosanne Liu (@savvyrl) 's Twitter Profile Photo

In 2020, my life was turned upside down -- I was encountering failure after failure and in deep depression. But that also turned out to be the most enlightening period. In October I was invited to give a talk at Google (thanks to Orhan Firat). It's out today: youtu.be/0blQp0_9NwY

In 2020, my life was turned upside down -- I was encountering failure after failure and in deep depression. But that also turned out to be the most enlightening period. In October I was invited to give a talk at Google (thanks to <a href="/orf_bnw/">Orhan Firat</a>). It's out today: youtu.be/0blQp0_9NwY
Chaitanya (Chay) Ryali (@wrong_whp) 's Twitter Profile Photo

Can self-supervised learning (SSL) perform on par or better than supervised learning? (Spoiler: Yes!) How can we improve semantic focus in SSL? How robust are high performing SSL methods? If you've wondered about any of these, check out our paper! bit.ly/3rnCBv2. A 🧵👇

Wenzhe Shi 🐕🐎 (@trustswz) 's Twitter Profile Photo

We describe a method for maximising long term engagements by using model-based reinforcement learning. The policy is then used to make decisions about whether to send push notifications or not. More details are in the paper if you are interested. arxiv.org/abs/2202.08812

Arya Mazumdar (@mountainofmoon) 's Twitter Profile Photo

The Halıcıoğlu Data Science Institute and ECE dept. at UC San Diego have a joint faculty position in the area of Machine Learning Theory/System focusing on Optimization methods. Please apply? apol-recruit.ucsd.edu/JPF03448

Corey Zhou (@cor2yz) 's Twitter Profile Photo

Thrilled to share this new preprint w/ Deborah Talmi Nathaniel Daw Marcelo Mattar: psyarxiv.com/3sqjh/ Starting with the question “what is episodic memory for?”, we propose an algorithmic theory of decision making where model-based evaluation is achieved by episodic recall.

CosyneMeeting (@cosynemeeting) 's Twitter Profile Photo

Dear Cosyne Community, Last week, An Wu, a postdoc in the Komiyama lab at UCSD who presented at this year’s meeting, has been reported missing. Our current information is that after Cosyne, she stayed at a building that burnt down in fire in Old Montreal. #cosyne2023 1/2

Dear Cosyne Community,

Last week, An Wu, a postdoc in the Komiyama lab at UCSD
who presented at this year’s meeting, has been reported missing. Our current information is that after Cosyne, she stayed at a building that burnt down in fire in Old Montreal.

#cosyne2023  1/2
AK (@_akhaliq) 's Twitter Profile Photo

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles abs: arxiv.org/abs/2306.00989 Modern hierarchical vision transformers have added several vision-specific components in the pursuit of supervised classification performance. While these components lead to

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

abs: arxiv.org/abs/2306.00989

Modern hierarchical vision transformers have added several vision-specific components in the pursuit of supervised classification performance. While these components lead to
AI at Meta (@aiatmeta) 's Twitter Profile Photo

📝 New research from Meta AI — Hiera is an extremely simple hierarchical vision transformer that's both more accurate than previous models + significantly faster at inference and during training. Paper ➡️ bit.ly/45K4TU2

📝 New research from Meta AI — Hiera is an extremely simple hierarchical vision transformer that's both more accurate than previous models + significantly faster at inference and during training.

Paper ➡️ bit.ly/45K4TU2
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

As society becomes more digital, it’s critical to improve the code powering the world's computing. Today in nature, we present AlphaDev, an AI system using reinforcement learning to discover enhanced computer science algorithms. How does it work? 🧵 dpmd.ai/alphadev-tw

Christoph Feichtenhofer (@cfeichtenhofer) 's Twitter Profile Photo

At #ICML2023, Chay (Chaitanya (Chay) Ryali) will present Hiera, a hierarchical vision transformer that is fast, powerful, and simple. Code+models at: github.com/facebookresear… If interested, please come to the oral presentation on Tue 25 Jul 5:30pm HST or poster #219 on Wed 26 Jul 2pm HST.

Demis Hassabis (@demishassabis) 's Twitter Profile Photo

Thrilled to share #Lyria, the world's most sophisticated AI music generation system. From just a text prompt Lyria produces compelling music & vocals. Also: building new Music AI tools for artists to amplify creativity in partnership w/YT & music industry deepmind.google/discover/blog/…

Kim Stachenfeld (neurokim.bsky.social) (@neuro_kim) 's Twitter Profile Photo

Applications open for student researchers (formerly interns)! deepmind.google/about/careers/… There will likely be projects with me+colleagues (including Kevin Miller!) on comp neuro, and ML directions on memory+retrieval. Locations in NYC/London. Reach out if any questions!

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

We’re excited to announce 𝗚𝗲𝗺𝗶𝗻𝗶: Google’s largest and most capable AI model. Built to be natively multimodal, it can understand and operate across text, code, audio, image and video - and achieves state-of-the-art performance across many tasks. 🧵 dpmd.ai/announcing-gem…

Demis Hassabis (@demishassabis) 's Twitter Profile Photo

The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…

The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable &amp; general AI model. Built to be natively multimodal, it can understand many types of info. Efficient &amp; flexible, it comes in 3 sizes each best-in-class &amp; optimized for different uses blog.google/technology/ai/…
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

Introducing FunSearch in nature: a method using large language models to search for new solutions in mathematics & computer science. 🔍 It pairs the creativity of an LLM with an automated evaluator to guard against hallucinations and incorrect ideas. 🧵 dpmd.ai/x-funsearch

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. 🕹️ It can complete tasks similar to a human, and outperforms an agent trained in just one setting. 🧵 dpmd.ai/3TiYV7d

bioRxiv Neuroscience (@biorxiv_neursci) 's Twitter Profile Photo

Multiple and subject-specific roles of uncertainty in reward-guided decision-making biorxiv.org/cgi/content/sh… #biorxiv_neursci

Google (@google) 's Twitter Profile Photo

Coming soon, we’ll bring new multi-step reasoning capabilities to Google Search. It breaks your bigger question down into parts and figures out which problems to solve and in what order, so research that might've taken you minutes or even hours can be done in seconds. #GoogleIO