Ruth Fong
8 papers · 2018–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (18) 🏆 Keyword Champion (2)
📈
Trend Setter
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI · Artificial Intelligence
(5)
Deep Learning
(4)
Computer Vision
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Core AI · Computer Vision
(2)
Optimization & Theory
(2)
Techniques
(2)
Architectures
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
representation learning
(3)
semantic concept
(2)
neural network
(2)
deep neural network
(2)
feature attribution
(1)
perturbation analysis
(1)
transformation invariance
(1)
visual concept
(1)
convolutional neural network
(1)
bias mitigation
(1)
model explanation
(1)
feature visualization
(1)
dataset bia
(1)
visual dataset
(1)
textual description
(1)
human evaluation
(1)
gradient analysis
(1)
video representation
(1)
gender bia
(1)
interpretability method
(1)
Papers
Gender Artifacts in Visual Datasets
ICCV 2023
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
CVPR 2023
HIVE: Evaluating the Human Interpretability of Visual Explanations
ECCV 2022
On Compositions of Transformations in Contrastive Self-Supervised Learning
ICCV 2021
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
NeurIPS 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
CVPR 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
ICCV 2019
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks
CVPR 2018