Improving reconstruction autoencoder out-of-distribution detection with mahalanobis distance T Denouden, R Salay, K Czarnecki, V Abdelzad, B Phan, S Vernekar arXiv preprint arXiv:1812.02765, 2018 | 115 | 2018 |
Out-of-distribution Detection in Classifiers via Generation S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki NeurIPS 2019, Safety and Robustness in Decision Making Workshop, 2019 | 85 | 2019 |
Detecting out-of-distribution inputs in deep neural networks using an early-layer output V Abdelzad, K Czarnecki, R Salay, T Denounden, S Vernekar, B Phan arXiv preprint arXiv:1910.10307, 2019 | 44 | 2019 |
A novel approach for classification of normal/abnormal phonocardiogram recordings using temporal signal analysis and machine learning S Vernekar, S Nair, D Vijaysenan, R Ranjan 2016 computing in cardiology conference (CinC), 1141-1144, 2016 | 37 | 2016 |
Calibrating Uncertainties in Object Localization Task B Phan, R Salay, K Czarnecki, V Abdelzad, T Denouden, S Vernekar NeurIPS 2018 Bayesian Deep Learning Workshop, 2018 | 26 | 2018 |
Analysis of Confident-Classifiers for Out-of-distribution Detection S Vernekar, A Gaurav, T Denouden, B Phan, V Abdelzad, R Salay, ... ICLR SafeML Workshop 2019, 2019 | 22 | 2019 |
Simple Continual Learning Strategies for Safer Classifers A Gaurav, V Abdelzad, S Vernekar, K Czarnecki, J Lee, S Sedwards AAAI SafeAI workshop, 2020, 0 | 7* | |
Improving reconstruction autoencoder out-of-distribution detection with mahalanobis distance. CoRR abs/1812.02765 (2018) T Denouden, R Salay, K Czarnecki, V Abdelzad, B Phan, S Vernekar | 6 | 1812 |
A novel approach for Robust Detection of Heart Beats in Multimodal Data using neural networks and boosted trees S Vernekar, D Vijaysenan, R Ranjan 2016 Computing in Cardiology Conference (CinC), 1137-1140, 2016 | 5 | 2016 |
Improving reconstruction autoencoder out-ofdistribution detection with mahalanobis distance. arXiv 2018 T Denouden, R Salay, K Czarnecki, V Abdelzad, B Phan, S Vernekar arXiv preprint arXiv:1812.02765, 0 | 5 | |
Training reject-classifiers for out-of-distribution detection via explicit boundary sample generation S Vernekar University of Waterloo, 2020 | 2 | 2020 |
Minimizing Change in Classifier Likelihood to Mitigate Catastrophic Forgetting A Gaurav, S Vernekar, S Sedwards, J Lee, V Abdelzad, K Czarnecki | | 2019 |
Improving Confident-Classifiers For Out-of-distribution Detection S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki | | 2019 |