Rewriting the digitilized version of the book "Naive Set Theory" by Paul Halmos in LaTeX

Keypoint-Guided Optimal Transport (NeurIPS 2022)

Code for paper: Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling

About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)

A Novel Federated Multi-View Clustering Method for Unaligned and Incomplete Data Fusion

Learning generative models with Sinkhorn Loss

ImageBind One Embedding Space to Bind Them All

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"

The official code repository of ShaSpec model from CVPR 2023 [paper](https://arxiv.org/pdf/2307.14126) "Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling"

Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"

Official implementation of Multi-modal Latent Diffusion

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch

Official Repository For Learning Multimodal VAEs through Mutual Supervision

Learning Autoencoders with Relational Regularization

[ICML2023] InfoOT: Information Maximizing Optimal Transport

PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)

Alignment between clustered datasets via hierarchical Wasserstein distance

Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data

implement Domain-Adversarial Training of Neural Networks

[CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning

Multimodal Variational Auto-encoder based Audio-Visual Segmentation [ICCV2023].

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.