Sunghwan Joo
5 papers · 2019–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (2) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Conference Pioneer
Conferences
AAAI (3)
NIPS (2)
Top co-authors
Keywords
neural network interpretation
(2)
contrastive learning
(1)
multi-task learning
(1)
adversarial robustness
(1)
self-supervised learning
(1)
feature attribution
(1)
image denoising
(1)
brain imaging
(1)
saliency map
(1)
energy disaggregation
(1)
functional magnetic resonance imaging
(1)
local smoothness
(1)
convolutional neural network
(1)
gradient alignment
(1)
brain dynamics
(1)
deep network
(1)
multiplicative noise
(1)
spatiotemporal analysis
(1)
neural network
(1)
adversarial manipulation
(1)
Papers
SwiFT: Swin 4D fMRI Transformer
NIPS 2023
Towards More Robust Interpretation via Local Gradient Alignment
AAAI 2023
Fooling Neural Network Interpretations via Adversarial Model Manipulation
NIPS 2019
Subtask Gated Networks for Non-Intrusive Load Monitoring
AAAI 2019
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
AAAI 2019