Fixing SimCLRs Main Problem - BYOL Paper Explained

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Let's talk about the paper "Bootstrap Your Own Latent: A new approach to self-supervised Learning" by researchers at DeepMind!
This paper introduced a new idea to solving Self-Supervised Learning which is now the main technique used in the current state-of-the-art models like DINO or I-JEPA!
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Опубликовано:

4 окт 2024

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Комментарии : 12

@RKN998 5 месяцев назад

Content of this quality on contrastive learning is rare. Thanks a lot!

@leokonto6860 Год назад

Thank you for your infinitely beautiful explanations theyre fabulous 👏

@borismeinardus Год назад

💚💚💚

@samilyalciner 7 месяцев назад

Bro this is a great explanation. Well done! Subscribed.

@JuantheJohn1 4 месяца назад

Great video! Would be cool if you re-iterated what collapse means at the beginning.

@anubhav8366 10 месяцев назад

Amazing presentation!

@borismeinardus 10 месяцев назад

Thanks!! ☺️

@pananananas 4 месяца назад

great video! helped me a lot! Have a nice day! :>

@jatinsoni2612 Год назад

how much do you earn in bachelor and masters at part time and how much do you still earning from your ML internship please make a video on this

@borismeinardus Год назад

I work at a public institution, so my rates are fixed. I earn about 1k for 60h/ month. If I would work in the private industry it would very likely be more. I didn‘t do an internship, I have just always been working as a part time student researcher. :) I hope this helps :)

@jatinsoni2612 Год назад

@@borismeinardusohk thanks Actually iam from India Can you make a detailed video on ml career options how to do freelancing in ML or how to start a ML startup cause I think there will be many students in tu Berlin that are doing this including you 2. How to approach big ML project Or university assignment 3. How to write a research thesis

@borismeinardus Год назад

@@jatinsoni2612 I‘ll see where I feel confident enough, that I can provide actual value. I was indeed thinking of one day making a video on how to build a cool ML project, but let‘s see if I will eventually have enough actually useful insights to share haha