ai-research-papersSummaries of AI Research PapersPrompt EngineeringText-driven Prompt Generation for Vision-Language Models in Federated Learning (summary | paper) Reverse Stable Diffusion: What prompt was used to generate this image? (summary | paper) Prompt-ICM: A Unified Framework towards Image Co...
Modern vision models are trained on very large noisy datasets. While these models acquire strong capabilities, they may not follow the user’s intent to output the desired results in certain aspects, e.g., visual aesthetic, preferred style, and responsibility. In this paper, we target the real...
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In this paper, we perform a very comprehensive systematic study to measure the impact of many key hyperparameters and training strategies from previous. As a result, we find out that previous baselines for ultra-low bit precision quantization are significantly ...
I really liked this paper because it brings together both insights from machine learning models as well as deep knowledge of hardware and memory design. This can be a prelude to the kind of practical and applicable research we can expect from Apple in the future. We can expect these innovatio...
Who is more polarized about AI—the tech community or the general public? The tech community is more strongly divided in how they feel about artificial intelligence (AI) than the general public according to a study of Reddit discourse following the launch of ChatGPT. Jul 30, 2024 0 18 ...
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Newly-published Apple research argues that seniors not only use iPhone apps differently than their younger counterparts, but that their habits can predict future brain decline. A paper, "App Usage Predicts Cognitive Ability in Older Adults," was shared during the ongoing ACMCHI Conferen...
rederive it from scratch (start from a blank paper): gives you the ability to derive new novel pieces of math yourself Code: run open-source code reimplement from scratch: some algorithm Sources of papers twitter ML subreddit NIPS/ICML/ICLR/... ...
BISHOP:I was a pencil-and-paper theoretician up to that point. Persuade my boss to buy me a workstation and then started to play with these neural nets. So right from the get-go, I was applying machine learning 35 years ago to data from science experiments. And that was a gre...