Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

[CVPR 2024] "Taming Mode Collapse in Score Distillation for Text-to-3D Generation" by Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

Mode collapse example of GANs in 2D (PyTorch).

This repository summarizes techniques for KL divergence vanishing problem.

Tensorflow implementation of ICLR2019 paper "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency"

Multilayer Perceptron GAN, and two Convolutional Neural Network GANs for MNIST and CIFAR.

This 'Generative Adversarial Network' project was implemented in grad course CSE-676 : Deep Learning [Fall 2019 @UB_SUNY] Course Instructor : Sargur N. Srihari(https://cedar.buffalo.edu/~srihari/)

Summer 2019 undergraduate research exploring interconnection of Generative Adversarial Networks

Lessons for training cGANs with embedding - housekeeping