Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
-
Updated
Jan 16, 2019 - Python
Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
Tripod is a tool/ML model for computing latent representations for large sequences
Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.
Working towards deliverable 5.3
Investigate mapping of articulations from the image space to the latent space using neural networks.
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Variational Interpretable Concept Embeddings
ICCV23 "Householder Projector for Unsupervised Latent Semantics Discovery"
Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".
Add a description, image, and links to the latent-representations topic page so that developers can more easily learn about it.
To associate your repository with the latent-representations topic, visit your repo's landing page and select "manage topics."