270 citations · 1.4k across the 97 of their papers we have counts for
10 papers · 1 filter
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg +1
The widespread use of Text-to-Image (T2I) models in content generation requires careful examination of their safety, including their robustness to adversarial attacks. Despite exte…
Interpretable Diffusion via Information Decomposition
Xianghao Kong, Ollie Liu, Han Li +2
Denoising diffusion models enable conditional generation and density modeling of complex relationships like images and text. However, the nature of the learned relationships is opa…
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan +1
Causal inference of exact individual treatment outcomes in the presence of hidden confounders is rarely possible. Recent work has extended prediction intervals with finite-sample g…
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
Elan Markowitz, Ziyan Jiang, Fan Yang +4
This work explores unifying knowledge enhanced recommendation with multi-domain recommendation systems in a conversational AI assistant application. Multi-domain recommendation lev…
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Efficient finetuning of pretrained language transformers is becoming increasingly prevalent for solving natural language processing tasks. While effective, it can still require a l…
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Neal Lawton, Anoop Kumar, Govind Thattai +2
Parameter-efficient tuning (PET) methods fit pre-trained language models (PLMs) to downstream tasks by either computing a small compressed update for a subset of model parameters,…