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20142023
most citedUnderstanding Neural Networks Through Deep Visualization

1.5k citations · 2.1k across the 26 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 3 cited

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Hai Phan, Anh Nguyen

Face identification (FI) is ubiquitous and drives many high-stake decisions made by law enforcement. State-of-the-art FI approaches compare two images by taking the cosine similari…

cs.CL2021★ 2 cited

Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

Thang M. Pham, Trung Bui, Long Mai +1

A principle behind dozens of attribution methods is to take the prediction difference between before-and-after an input feature (here, a token) is removed as its attribution. A pop…

cs.LG2021★ 1 cited

The DEformer: An Order-Agnostic Distribution Estimating Transformer

Michael A. Alcorn, Anh Nguyen

Order-agnostic autoregressive distribution (density) estimation (OADE), i.e., autoregressive distribution estimation where the features can occur in an arbitrary order, is a challe…

cs.CV2021★ 27 cited

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Giang Nguyen, Daeyoung Kim, Anh Nguyen

Explaining the decisions of an Artificial Intelligence (AI) model is increasingly critical in many real-world, high-stake applications. Hundreds of papers have either proposed new…

cs.LG2021★ 8 cited

baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

Michael A. Alcorn, Anh Nguyen

Multi-agent spatiotemporal modeling is a challenging task from both an algorithmic design and computational complexity perspective. Recent work has explored the efficacy of traditi…