Results 1 to 10 of about 23,732,778 (76)
Nörobilişsel Yaşlanma Modelleri: Kaybedilenin Telafisi Mümkün mü?
Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2023 Yaşlanma sürecinde bilişsel işlevlerin birçoğunda düşüş görülmektedir. Yaşlanmayla birlikte bilişsel işlevlerde ortaya çıkan bu değişim ile nöral süreçler arasındaki ilişkinin incelenmesine olanak sağlayan nörobilişsel modeller, beyindeki aktivasyon ...
Handan Can, Elif Güldemir
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Şizofreni hastalarında TSH, fT3 ve fT4 düzeylerinin nörobilişsel belirtiler üzerine etkisi
Cukurova Medical Journal, 2022 Amaç: Bu çalışmamızda ötiroid psikoz hastalarında tiroid hormon düzeyleri ile pozitif, negatif, genel ve bilişsel belirtiler arasındaki ilişkiyi incelemeyi amaçladık. Gereç ve Yöntem: Çalışmaya 33 şizofreni hastası dahil edildi.
Hatice Kaya, Batuhan Ayik
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Visual Instruction Tuning [PDF]
Neural Information Processing Systems, 2023 Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field. In this paper, we present the first attempt to use
Haotian Liu +3 more
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DINOv2: Learning Robust Visual Features without Supervision [PDF]
Trans. Mach. Learn. Res., 2023 The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision.
M. Oquab +25 more
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Improved Baselines with Visual Instruction Tuning [PDF]
Computer Vision and Pattern Recognition, 2023 Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning. In this paper, we present the first systematic study to investigate the design choices of LMMs in a controlled setting under the LLaVA framework.
Haotian Liu +3 more
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BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models [PDF]
International Conference on Machine Learning, 2023 The cost of vision-and-language pre-training has become increasingly prohibitive due to end-to-end training of large-scale models. This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from
Junnan Li +3 more
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Dilbilim Araştırmaları Dergisi, 2020 Bu yazıda, dil sisteminin uzaysal ve zamansal işlemlenişini, İşitsel Tümce Anlamlandırmanın Dinamik Çift-Yönlü İşlemleme Modeli (Friederici, 2002, 2011, 2012) çerçevesinde inceleyerek alanyazına çok sayıda araştırmayı kazandıran sinirdilbilimci Angela D.
İpek Pınar UZUN
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Adding Conditional Control to Text-to-Image Diffusion Models [PDF]
IEEE International Conference on Computer Vision, 2023 We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers ...
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
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MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models [PDF]
International Conference on Learning Representations, 2023 The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such as directly generating websites from handwritten text and identifying humorous elements within images.
Deyao Zhu +4 more
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Classifier-Free Diffusion Guidance [PDF]
arXiv.org, 2022 Classifier guidance is a recently introduced method to trade off mode coverage and sample fidelity in conditional diffusion models post training, in the same spirit as low temperature sampling or truncation in other types of generative models. Classifier
Jonathan Ho
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