Ivanna Kramer
@IvannaKramer
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Research Associate at University of Koblenz
Joined January 2022
New YouTube video: 1hr general-audience introduction to Large Language Models https://t.co/Bl4WNuNyFJ Based on a 30min talk I gave recently; It tries to be non-technical intro, covers mental models for LLM inference, training, finetuning, the emerging LLM OS and LLM Security.
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We are beyond excited to announce the location for EEML2024: beautiful Novi Sad, Serbia, on the shore of the Danube, just after the EXIT festival and before ICML, 15-20 July 2024. Amazing speakers confirmed already, this is bound to be an epic experience! https://t.co/PcVYImZOFb
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This is an absolute gem, a phenomenal work of art, an award-worthy invention, whoever did this has my eternal respect and gratitude, it is by far my most favorite meme of all time and I will never get enough of it ♥️
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🎉 Excited to share our #3DV2024 paper: "Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration". We show how to incorporate a powerful diffusion prior into cloth 3D registration, and achieve wrinkle-accurate alignment! Project: https://t.co/i2ocDjs3sD
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Who is up for the scariest costume tonight?
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What are the most spooky things you saw in a paper?
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Anyone who thinks he or she can truly and fully understand the mechanisms of intelligence without rigorous and systematic mathematical reasoning is seriously mistaken.
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Funny how the more overvalued a company is, the more alarmist about AI.
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Over the next few days I will be tweeting about amazing graph machine learning projects coming out of the Stanford's CS224W class on Machine Learning with Graphs: https://t.co/JB2XQwPIdo
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Want to learn about meta-learning & few-shot learning? All of the latest lecture videos for Stanford CS330 are now online! https://t.co/PqNK2yqQ16 New topics in Fall '22 include: - self-supervised pre-training - large scale meta-optimization - domain adaptation & generalization
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While deep learning has achieved remarkable success in many problems such as image classification, natural language processing, and speech recognition, these...
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Reviewer 1: lacks novelty Reviewer 2: useless in practice Reviewer 3: strong accept https://t.co/KYT1CD7OlE
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PhD students, don't worry. Technologies, trends, and even whole fields come and go. A PhD makes you an expert in a field but, more importantly, teaches you how to become an expert. Once you know that you can learn anything, you can adapt to major disruptions in your field.
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Research is where failure is the norm. Don’t let social media posts convince you otherwise. Managing failure is an important skill to develop.
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What makes your paper special? Must read for reviewers ...
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