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Evan Freed

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedRevealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

8 citations · 13 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 5 cited

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

Mathias Löwe, Jennifer Villareale, Evan Freed +3

Applying neural network (NN) methods in games can lead to various new and exciting game dynamics not previously possible. However, they also lead to new challenges such as the lack…

cs.HC2020

iNNk: A Multi-Player Game to Deceive a Neural Network

Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro +10

This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other throug…

cs.HC2020★ 8 cited

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

Chelsea M. Myers, Evan Freed, Luis Fernando Laris Pardo +3

AI algorithms are not immune to biases. Traditionally, non-experts have little control in uncovering potential social bias (e.g., gender bias) in the algorithms that may impact the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.