activity
20172026
most citedJoint Variational Autoencoders for Recommendation with Implicit Feedback

3 citations · 8 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CY2021

Improving Peer Assessment with Graph Convolutional Networks

Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari

Peer assessment systems are emerging in many social and multi-agent settings, such as peer grading in large (online) classes, peer review in conferences, peer art evaluation, etc.…

cs.CR2021

Long Passphrases: Potentials and Limits

Christopher Bonk, Zach Parish, Julie Thorpe +1

Passphrases offer an alternative to traditional passwords which aim to be stronger and more memorable. However, users tend to choose short passphrases with predictable patterns tha…

cs.CR2021

A Study on Priming Methods for Graphical Passwords

Zach Parish, Amirali Salehi-Abari, Julie Thorpe

Recent work suggests that a type of nudge or priming technique called the presentation effect may potentially improve the security of PassPoints-style graphical passwords. These nu…

cs.AI2021★ 1 cited

DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback

Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari

Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Many of these systems, however, either…

cs.LG2021★ 1 cited

Distilling Knowledge via Intermediate Classifiers

Aryan Asadian, Amirali Salehi-Abari

The crux of knowledge distillation is to effectively train a resource-limited student model with the guide of a pre-trained larger teacher model. However, when there is a large dif…