Nathan Inkawhich
8 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
WACV (3)
NIPS (2)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
image classification
(1)
adversarial learning
(1)
risk management
(1)
anomaly detection
(1)
ensemble learning
(1)
object detection
(1)
model robustness
(1)
knowledge distillation
(1)
confidence calibration
(1)
adversarial training
(1)
fine-grained classification
(1)
adversarial attack
(1)
convolutional neural network
(1)
ensemble method
(1)
out-of-distribution detection
(1)
image classifier
(1)
adversarial example
(1)
hybrid architecture
(1)
feature distillation
(1)
model efficiency
(1)
Papers
Tunable Hybrid Proposal Networks for the Open World
WACV 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
ICML 2024
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments
WACV 2023
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks
WACV 2022
Transferable Perturbations of Deep Feature Distributions
ICLR 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NIPS 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
NIPS 2020
Feature Space Perturbations Yield More Transferable Adversarial Examples
CVPR 2019