Mengmi Zhang
@MengmiZhangNanyang assistant professor in AI and computational neuroscience @ NTU Singapore, principal scientist and PI of Deep NeuroCognitionLab @ A*star
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The era of post training has begun.
Exciting news! 🚨 Our lab will have two poster presentations at #NeurIPS this year! 🎉 I’ll be at the conference and would love to chat—whether it’s about science, our work, or opportunities in the lab (we’re hiring PhD positions!). Stop by and say hi! 👋
I don't wanna say "I told you so", but I told you so. Quote: "Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that results from scaling up pre-training - the phase of training an AI model that uses a vast amount of unlabeled…
The video presentation of our work on Adaptive visual scene understanding in continual learning is LIVE! 🌍 youtu.be/BRRdyI9cWiY See you all in Vancouver next month!✨ #NeurIPS #AI #ContinualLearning
The video presentation of our work on generalization to biological motion perception is LIVE! 🌍 youtu.be/bZz1UZa5QLc?si… See you all in Vancouver next month!✨ #NeurIPS #AI #MachineLearning #HumanAI
🌟Imagine an AI that can continually learn to recognize new objects and build relationships in real time! Our latest #NeurIPS work on adaptive scene understanding tackles real-world complexities in dynamic environments: arxiv.org/pdf/2310.01636 #AI #ContinualLearning #NeurIPS2024
📢 Can you recognize what these dots are doing? 🕺 You can—but AI can’t! Our latest work at #NeurIPS explores human and AI perception of biological motion patterns. Discover how we're bridging this gap here: arxiv.org/abs/2405.16493! #AI #Neuroscience #NeurIPS2024
Ciao! 🇮🇹 I'll be at ECCV this afternoon (Sep 29), presenting a talk on neuroscience-inspired AI at the Human-inspired Computer Vision workshop. Looking forward to seeing you there! I'm also available to chat on any other day during the conference. sites.google.com/view/hcvworksh…
Current language models are useful tools but NOT intelligent. They lack continual learning abilities, and zero-shot approaches are not the answer for catastrophic forgetting. Frustrated with #NeurIPS reviews. We need a shift in how we evaluate progress in AI. #ContinualLearning
👀 Calling all vision science researchers! Excited to announce that abstract submissions and conference registrations are now open for 16th Asia Pacific Conference on Vision in Singapore. 🌟Submit your abstracts at apcv2024.com #APCV2024 #VisionScience #Singapore 📝🔬
Spend 3 weeks in Woods Hole with a great NeuroAI crowd! (note that the application is open to internationals)
Applications are invited to participate in the Brains, Minds and Machines summer school [08/04/2024 -- 08/25/2024] in Woods Hole, MA. Deadline = 03/20/2024. More information here: klab.tch.harvard.edu/academia/class….
My paper showing Invariant Neural Correlates for Parts of Speech in the Human Brain using Intracranial Depth Electrodes biorxiv.org/cgi/content/sh…
How can compositionality and external memory play a part in replay for continual learning? This work is in collaboration with amazing colleagues from KreimanLab @gkreiman
New ideas on using an external memory and efficient feature replays for continual learning by Talbot et al in IEEE Transactions in Neural Networks and Learning Systems, 2023. See paper here: klab.tch.harvard.edu/publications/p…
🎓 My lab is hiring for multiple roles: full-time and part-time Ph.D. positions for August intake,2024 + Postdoc positions. If you're passionate about interdisciplinary research in AI and computational neuroscience, send your CV to me #NTUsg #ResearchJobs #PhD #Postdoc #HiringNow
Only academics care about generalization, industry cares about profit. When google still publishes such stuff, OpenAI directly trains on testing set without asking :) So for every industry guy, start to collect all testing case as training data now!
Ummm ... why is this a surprise? Transformers are not elixirs. Machine learning 101: gotta cover the test distribution in training! LLMs work so well because they are trained on (almost) all text distribution of tasks that we care about. That's why data quality is number 1…
Exciting news!🚀Our NeurIPS paper on "Object-centric Learning with Cyclic Walks between Parts and Whole" is now live! Learn compositionality via walks between entities in external memory and features wo decoders. 🧠🤖Paper is here: [arxiv.org/pdf/2302.08023…] #NeurIPS #AIResearch
🎉 Proud to share our latest NeurIPS publication, "Decoding the Enigma" @sikarwar_ank! We've benchmarked humans and AIs on the intricate aspects of Working Memory. Check out the research here: arxiv.org/pdf/2307.10768… 🧠💡 #NeurIPS #WorkingMemory #AIResearch
Introducing SignAvatars [signavatars.github.io], to the best of my knowledge, the first large-scale, multi-prompt 3D #SignLanguage motion #dataset designed to bridge the communication gap for hearing-impaired people. It is also my first take on this important problem. #CVPR👇
Behold: the #ICCV2023 proceedings has been released! openaccess.thecvf.com/ICCV2023 See you in Paris!
Excited to share that two NeurIPS papers have been accepted in our lab! Congratulations to two amazing lab members @sikarwar_ank and Ziyu Wang! Camera-ready versions with code and supp materials will be made public soon! Stay tuned! #NeurIPS2023
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