Results 1 to 10 of about 17,402,519 (190)
LAION-5B: An open large-scale dataset for training next generation image-text models [PDF]
Neural Information Processing Systems, 2022 Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of training on large amounts of noisy image-text data, without relying on expensive accurate labels used in standard vision unimodal supervised learning.
Christoph Schuhmann +15 more
semanticscholar +1 more source
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
Sanyuan Chen +16 more
semanticscholar +1 more source
Baichuan 2: Open Large-scale Language Models [PDF]
arXiv.org, 2023 Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering.
Ai Ming Yang +54 more
semanticscholar +1 more source
The Large Scale Structure of Space-Time
, 2023 First published in 1973, this influential work discusses Einstein's General Theory of Relativity to show how two of its predictions arise: first, that the ultimate fate of many massive stars is to undergo gravitational collapse to form 'black holes'; and
S. Hawking, G. Ellis
semanticscholar +1 more source
Modeling the Effects of Threading Dislocations on Current in AlGaN/GaN HEMT
Micromachines, 2023 The aim of this paper is to model the effects of threading dislocations on both gate and drain currents of AlGaN/GaN high electron mobility transistors (HEMTs).
Censong Liu +4 more
doaj +1 more source
Array databases: concepts, standards, implementations
Journal of Big Data, 2021 Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image, simulation output, or statistics “datacubes”.
Peter Baumann +3 more
doaj +1 more source
Micromachines, 2023 A surface-potential-based analytical large-signal model, which is applicable to both ballistic and quasi-ballistic transport in InGaAs high electron mobility transistors, is developed.
Jinye Wang +3 more
doaj +1 more source
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions [PDF]
Computer Vision and Pattern Recognition, 2022 Compared to the great progress of large-scale vision transformers (ViTs) in recent years, large-scale models based on convolutional neural networks (CNNs) are still in an early state.
Wenhai Wang +11 more
semanticscholar +1 more source
Large Scale GW Calculations [PDF]
Journal of Chemical Theory and Computation, 2015 We present GW calculations of molecules, ordered and disordered solids and interfaces, which employ an efficient contour deformation technique for frequency integration, and do not require the explicit evaluation of virtual electronic states, nor the inversion of dielectric matrices.
Govoni, Marco, Galli, Giulia
openaire +4 more sources
LINE: Large-scale Information Network Embedding [PDF]
The Web Conference, 2015 This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classification, and link prediction.
Jian Tang +5 more
semanticscholar +1 more source