Search Results for author:
Found 5 papers, 2 papers with code
Diffusion on the Probability Simplex
However, the desired continuous nature of the noising process can be at odds with discrete data.
DiffuDetox: A Mixed Diffusion Model for Text Detoxification
Text detoxification is a conditional text generation task aiming to remove offensive content from toxic text.
Bayesian Knowledge-driven Critiquing with Indirect Evidence
This work enables a new paradigm for using rich knowledge content and reasoning over indirect evidence as a mechanism for critiquing interactions with CRS.
LogicRec: Recommendation with Users' Logical Requirements
In this work, we formulate the problem of recommendation with users' logical requirements (LogicRec) and construct benchmark datasets for LogicRec.
The Exponentially Tilted Gaussian Prior for Variational Autoencoders
An important property for deep neural networks is the ability to perform robust out-of-distribution detection on previously unseen data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
