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arXiv
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Apple Machine Learning Journal
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Cram
Papers with CodeStudents who need to memorize information quickly, individuals preparing for exams, language learners, and anyone who prefers interactive learning methods through digital flashcards.
Based on our record, Papers with Code should be more popular than Cram. It has been mentiond 100 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is what I did....lots of flash cards. I used cram.com, but most sites work. I strongly suggest making your own, though. Don't put everything on them, just put the things you're struggling with. It's way more efficient to just work on the areas you don't know than to spend ages reviewing facts you already know. Source: about 3 years ago
I used Cantrill's course, TutorialDojo's practice exams, and cram.com for flash cards. I used the practice exams to help me identify where I was weak, and I'd go back and study those topics in more depth. Also, whenever I got a practice question wrong (or right only out of luck), I made up flash cards with whatever bits of information I was missing that would have helped me *know* what the right answer was. ... Source: over 3 years ago
Use flashcards. I used cram.com and made a bunch of cards to memorise stats, dates and quotes. Source: almost 4 years ago
I don't use Anki but I used to make my own flash cards when I first started using cram.com lol. Source: about 4 years ago
I made a set of flash cards at cram.com. These are from 2017 though, so I'm not sure if they're still applicable or if the test covers significantly different material now. Source: about 4 years ago
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 9 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / about 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
ML5.js - Friendly machine learning for the web
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Brainscape - Find, create, and study SMART FLASHCARDS on any device. DOUBLE your learning speed using the most effective study system on the planet. Keep all your content in sync across Brainscape's website and your Android devices.
Spell - Deep Learning and AI accessible to everyone