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Be careful ordering expensive items from Amazon.co.uk Looks like an internal scam is gng on where u receive wrong cheap similar size/shape item Ordered iPhone 15, received cheap light on 1st Nov, refunded d item, no refund yet Ineffective customer support Prime customer :-(

Want to make your model aware of some new objects, rare classes etc? 🔬 👉🏼 No need to collect new datasets. 👉🏼 Just augment the old one using our pipeline and then fine-tune the model. That’s it!! ⭐️ Please check our work for more details.

Finally, after ~3.5 months, 6 reviewers -our paper is accepted 2 Transactions on Machine Learning Research ⭐️Fine-tuning can cripple your foundation model; preserving features may be the solution: arxiv.org/abs/2308.13320 Last paper of our ex-student Jishnu Mukhoti as part f his PhD 👏 Yarin Oxford Torr Vision Group

Google DeepMind postdoc University of Oxford in AI/ML with emphasis on DE&I, application deadline this Friday July 5!

What a lovely workshop on the robustness of LLMs by ELLIS Oxford. Fantastic speakers. Beautiful Keble College, Oxford (always love going there). Thanks Yee Whye Teh (the CEO :P) and the wonderful team for organizing this! Learned more compared to overwhelmingly big conferences

👉🏼 If you are attending European Conference on Computer Vision #ECCV2026, and r interested in reliable AI, please attend our oral session today 👉🏼 We talk about ways to quantify miscalibration in object detectors and how to effectively make them calibrated 🐣 Paper arxiv.org/abs/2405.20459

Very sad situation. Looks like there is no willingness to help.

Wow, very nicely and honestly written. Loved it. Filling the manifold — as u said — can still be useful in providing some new useful insights — if not extraordinary.

My group Foerster Lab for AI Research is recruiting a postdoc and looking for someone who can get started by the end of April. Deadline to apply is in one week (!), 19th of March at noon, so please help spread the word: my.corehr.com/pls/uoxrecruit…

Check new work!!

I love ChatGPT, however, it does make factual mistakes How about a subscription model where every time ChatGPT makes a factual mistake, the subscription cost for the next month decreases by a factor? Sam Altman thoughts? (not expecting a reply as I'm sure you are too buys ;))