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Researchers from Tel Aviv Propose Long-Text NLP Benchmark Called SCROLLS

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Although lengthier texts contain a significant quantity of natural language in the wild, NLP benchmarks have always primarily focused on short texts, such as...

Researchers from the University of Chicago and Tel Aviv University Introduce...

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In recent years, neural-based generative models have been at the center of attention for their exceptional capability of creating aesthetically attractive graphical content seemingly...

NVIDIA and Tel Aviv Researchers Propose ‘StyleGAN-NADA’, A Text-Driven Method That...

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GANs have revolutionized the image generation process, allowing for better results in classification and regression tasks. They can capture distribution of images through their...

Tel Aviv Researchers Propose An AI Method Using Neural Networks To...

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Researchers from Tel Aviv University, Israel, have recently published a research report, "Generating Master Faces for Dictionary Attacks with Network-Assisted Latent Space Evolution". This...

Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’,...

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The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with localization in...

Researchers From Tel Aviv University Propose LARGE, Latent-Based Regression through GAN...

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Researchers at Tel-Aviv University have created a method to solve regression tasks with little supervision effectively. The researchers noted that GANs are great for...
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