arxiv.org/abs/2407.03036v1
Handling distribution shifts from training data, known as out-of-distribution (OOD) generalization, poses a significant challenge in the field of machine learning. While a pre-trained vision-language model like CLIP has demonstrated remarkable zero-s...
arxiv.org/abs/2410.14758v2
By embedding discrete representations into a continuous latent space, we can leverage continuous-space latent diffusion models to handle generative modeling of discrete data. However, despite their initial success, most latent diffusion methods rely...
arxiv.org/abs/2303.03717v1
Self-supervised learning (SSL) has recently shown remarkable results in closing the gap between supervised and unsupervised learning. The idea is to learn robust features that are invariant to distortions of the input data. Despite its success, this...
arxiv.org/abs/2001.11739v3
Intrinsic dimensionality (ID) is one of the most fundamental characteristics of multi-dimensional data point clouds. Knowing ID is crucial to choose the appropriate machine learning approach as well as to understand its behavior and validate it. ID c...
arxiv.org/abs/2304.11663v1
Deep equilibrium models (DEQs) have proven to be very powerful for learning data representations. The idea is to replace traditional (explicit) feedforward neural networks with an implicit fixed-point equation, which allows to decouple the forward an...
en.wikipedia.org/wiki/RDF_query_language
declare rules for matching data in RDF. XUL uses RDF extensively for databinding. Adenine (programming language written in RDF). XQuery, or XML Query
arxiv.org/abs/2510.12720v1
Fine-grained perception of multimodal information is critical for advancing human-AI interaction. With recent progress in audio-visual technologies, Omni Language Models (OLMs), capable of processing audio and video signals in parallel, have emerged...
www.bing.com/ck/a?!&&p=a751ebc3bc4ab6e48facd4712ae0ff35506b6d165574bb98b2a3972f21b8b5a0JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=008a4b56-7733-6562-0d47-5c4676f56407&u=a1aHR0cHM6Ly9qcHkuaWQuY3VycmVuY3lyYXRlLnRvZGF5L2NvbnZlcnQvYW1vdW50LTUwMDAtdG8taWRyLmh0bWw&ntb=1
3 days ago · Cari tahu ke ¥5,000 Yen Jepang (JPY) ke Rupiah Indonesia (IDR). Dapatkan nilai tukar langsung, nilai tukar historis dan data stat & grafik mata uang.
arxiv.org/abs/1812.06955v1
We developed software for detection of variable stars using CCD photometry. It works with "varfind data" that could be exported after processing CCD frames using C-Munipack. Our goals were maximum automation and support of large fields of view with t...
www.bing.com/ck/a?!&&p=fcc4d4e995ff48562d1a2cf1668153d3dbfae58d9db381749d3f29293f7484d8JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=19799b69-45c6-64f6-0267-8c7944df6580&u=a1aHR0cHM6Ly90ZWNoY29tbXVuaXR5Lm1pY3Jvc29mdC5jb20vYmxvZy9ub25wcm9maXR0ZWNoaWVzL2V4cGxvcmluZy1taWNyb3NvZnQtZm9ybXMtYS1jb21wcmVoZW5zaXZlLW92ZXJ2aWV3LzM4OTgwMTY&ntb=1
Aug 11, 2023 · Microsoft Forms simplifies the process of data collection and feedback gathering, making it a versatile tool for various applications. Its user-friendly interface, integration with Microsoft 365, …
arxiv.org/abs/2410.13853v2
As deep learning continues to evolve, the need for data efficiency becomes increasingly important. Considering labeling large datasets is both time-consuming and expensive, active learning (AL) provides a promising solution to this challenge by itera...
arxiv.org/abs/1606.06129v1
DIANE is a digital assistant system that aims to fasten the doctor access to various informations at the hospital such as health care facility, medical records, and also human resource data. The fasten access could be achieved by implementing face re...
arxiv.org/abs/1412.0248v1
The old adage says that it is better to be lucky than to be good, but when it comes to winning NCAA tournament pools, do you need to be both? This paper attempts to answer this question using data from the 2014 men's basketball tournament and more th...
arxiv.org/abs/2109.09658v6
The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI solutions across the whole value chain of medical imaging, including im...
arxiv.org/abs/2309.02564v1
Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting in online service interruptions and economic loss. Existing works foc...
www.reddit.com/r/Superstonk/comments/pnzf76/peaking_behind_yahoo_curtain_analyzed_past_year/
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en.wikipedia.org/wiki/List_of_datasets_in_computer_vision_and_image_processing
Lake, Brenden (2019-11-09). "Omniglot data set for one-shot learning". GitHub. Retrieved 2019-11-10. LeCun, Yann; et al. (1998). "Gradient-based learning
github.com/Philliec459/Estimations-of-Mode-of-Pore-Throat-Distribution-using-Tensorflow
Utilized Tensorflow to estimate the Mode of a Pore Throat Distribution based on Carbonate Core Data (⭐ 7)
arxiv.org/abs/2402.13779v1
In recent years, self-supervised learning has emerged as a powerful tool to harness abundant unlabelled data for representation learning and has been broadly adopted in diverse areas. However, when applied to molecular representation learning (MRL),...
github.com/tarequeh/DES
Implementation of Data Encryption Standard (DES) in C (⭐ 283)