Tag: GANs

Enhancing Task-Specific Adaptation for Video Foundation Models: Introducing Video Adapter as a Probabilistic Framework for Adapting Text-to-Video Models

AI Shorts
Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...

This AI Paper Presents An Efficient Solution For Solving Common Practical Multi-Marginal Optimal Transport Problems

AI Paper Summary
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation. Existing methods...

tsBNgen, a Python Library to Generate Synthetic Data From an Arbitrary Bayesian Network.

AI Paper Summary
When we think of machine learning, the first step is to acquire and train a large dataset. However, many times the data isn’t available...

Deep Learning : Write your own Bible

Applications
An Application of Generative Adversarial Networks (GAN) If you are planning to start your own religion the first thigh you would need is a holy...

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