We've all been there 🤓 #DeepLearning

Are you a Master's student with excellent CV in cancer bioinformatics who is about to defend or recently defended? Would like to do a PhD in the Nordics on cancer network modeling? I have an opportunity with tight deadline. Email your CV and motivation: med.uio.no/ncmm/english/p…

Please RT: If you are excited to do a PhD in a vibrant place in Germany and interested in applications of ML in the context of bioinformatics please apply! Deadline 20.9.2024 schulzlab.github.io/Jobs/PosPhd202…

Friends, as the saying approximately goes: "Fortune favours the bald" 👴 👉 My proposal "HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology" was successfully funded with a 1.5M € European Research Council (ERC) Starting Grant! 👈 🤯🤯🤯 This will allow me to pursue

🚨 A postdoc position in rational machine learning in our group @CISPA. If you want to collaborate with us to create more rational, efficient, and reliable machine learning systems, don't hesitate to reach out. 📄 tinyurl.com/2jksdehr RT Appreciated 🙏

Happy to announce that I will have open PhD slots for the IMPRS-IS program Universität Tübingen ! You can apply here: imprs.is.mpg.de/application Deadline is Nov 15th. Ask me European Conference on Computer Vision #ECCV2026 for any details!

We are looking for two postdoctoral researchers in our Explainable Machine Learning group TU München Helmholtz Munich | @HelmholtzMunich ELLIS, application deadline is November 19th (fully funded, flexible starting dates, flexible topics, duration negotiable). More details 👇

Hello from Vancouver! Visit us at our posters at #NeurIPS2024 to know about our latest work! A summary 🧵

"Pruning neural network models for gene regulatory dynamics using data and domain knowledge" by Intekhab Hossain*, Jonas Fischer*, Rebekka Burkholz^, and John Quackenbush^. Fri 13 Dec 11 a.m. PST–2 p.m. PST, East Exhibit Hall A-C #1100

I am hiring for a Ph.D. student to work in the areas of social network analysis, algorithms and fair machine learning. Please apply and join our highly motivated team. For more information please see the link to call in the tweet below.

Excited to see our paper "Tokenformer: Rethinking transformer scaling with tokenized model parameters" accepted as a spotlight at #ICLR2025 ! Hope our idea of ​​tokenizing everything can inspire the future of AI. Paper: arxiv.org/abs/2410.23168 Code: github.com/Haiyang-W/Toke…

The feeling you get with every post from #CVPR2025 account at the moment 

PhD Position in Trustworthy AI at the Lamarr Institute (TU Dortmund, Germany)! I’m looking for outstanding PhD student working on: ✅ Federated & Multi-Agent Learning ✅ Theory of Deep Learning ✅ Causality and Causal Representations (1/7)

Disentangling Polysemantic Channels in Convolutional Neural Networks by Robin Hesse, Jonas Fischer, Simone Schaub, and Stefan Roth Paper: arxiv.org/abs/2504.12939 Talk: Thursday 11:40 AM, Grand ballroom C1 (4th floor) Poster: Thursday, 12:30 PM, ExHall D, Poster 31-60

when you rely on data augmentation because your model doesn’t have scale equivariance built-in

🚀 UTD is now fully released! Code ✅ Models ✅ 2M video descriptions ✅ Debiased splits for 12 datasets ✅ Everything you need to benchmark video models more fairly is now public: 🔗 github.com/ninatu/utd-pro… 🎥 Let’s make video understanding actually about video understanding.

Are you an XAI researcher attending #ICCV2025? Submit your recently published work — at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI etc. — to the eXCV Workshop for the opportunity to further showcase your work! Published papers can be submitted as is, no rewriting necessary.