I really worry that the new generation of researchers regard the "model release" moments as the acme of research, or the ability to launch yolo runs as the epitome of a good researcher. I'm not saying those metrics are wrong, but you'll suffer a lot if that's what you optimize.

This work is truly inspiring and groundbreaking. It goes beyond merely applying existing ML techniques to genomic data, further pushing the boundaries of what is possible in the field of AI4DNA.

Thrilled to see such a massive dataset just dropped! This is HUGE for autonomous driving research!🚗🌍

Really cool🤖🤖

314B parameters🙀

When Do We Not Need Larger Vision Models? repo: github.com/bfshi/scaling_… abs: arxiv.org/abs/2403.13043 **Abstract:** In this work, we explore the necessity of larger models for enhanced visual understanding. Our findings suggest that scaling based on the dimension of image

Same vibe, same reviewer, same copy-paste rejection from the last conference.😩🤦‍♂️ICML Conference #ICML2024

Quite confused about the ICML Conference rebuttal process. If "multiple rebuttals per review are allowed”, why we could only use the "Rebuttal" button instead of the "Official Comment" for submitting rebuttals? (1) The character limit for "Rebuttal" is too restrictive, and authors

🤣🤣🤣

An Academic Baby Step: Reaching 100 Citations on My Research Journey! 🎉📈 I am deeply grateful to all my incredible mentors, collaborators, and friends who have shaped my path.🙏📚 There is still so much to learn and contribute. I look forward to working towards more impactful

Sadly, I can't make it to #ICLR2024 in person, but thrilled our work will be there! 🎉 Wishing my collaborator Siyuan Li a fantastic time in Vienna!🇦🇹Can't wait for you to share the buzz about our MogaNet and SemiReward with the #ICLR community. Enjoy the conference! ✈️

Excited to present our MogaNet poster at #ICLR2024! 🇦🇹 Come and join Siyuan Li at Hall B #17 to exchange insights in network architecture design and representation learning.💡 Looking forward to engaging conversations with the ICLR 2025 community! #MogaNet Paper:

Thanks for featuring our MogaNet poster, Peymàn M. Kiasari! 🙌 Your #ICLR2024 work has been truly inspiring to me as well. Unfortunately, I missed the chance to communicate with you in person at iclrconf 🇦🇹. Looking forward to catching up at a future conference and discussing our

Excited to introduce our #ICML2024 paper “VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling”! 🧬🔥 Another co-first authored work w/ Siyuan Li. VQDNA reconstructs tokenization in genomic sequence modeling as a vocabulary learning

Happy to announce our new learning framework for genomics on #ICML2024. Thanks to my co-first author Zedong Wang and other co-authors👍