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12 Results
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Poster
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Wed 1:00 |
Explainable Deep One-Class Classification Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller |
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Poster
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Tue 9:00 |
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag · Mung Chiang · Prateek Mittal |
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Poster
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Thu 17:00 |
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh · Steven L Waslander |
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Poster
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Wed 9:00 |
Provably robust classification of adversarial examples with detection Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter |
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Poster
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Wed 17:00 |
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection wu xiongwei · Doyen Sahoo · Steven HOI |
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Workshop
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Fri 9:59 |
TADPOLE: Task ADapted Pre-training via anOmaLy dEtection Vivek Madan |
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Workshop
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Fri 8:29 |
Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging Dennis Núñez-Fernández |
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Poster
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Tue 1:00 |
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood · Junier Oliva · Martin A Styner |
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Workshop
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What is Wrong with One-Class Anomaly Detection? JuneKyu Park |
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Poster
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Tue 9:00 |
Systematic generalisation with group invariant predictions Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville |
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Spotlight
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Mon 12:35 |
Systematic generalisation with group invariant predictions Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon |