Novelty Detection Through Model-Based Characterization of Neural Networks

13 August 2020

Papers citing "Novelty Detection Through Model-Based Characterization of Neural Networks"

9 / 9 papers shown

Title
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 68 8 0 24 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 92 9 0 16 Feb 2023
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior Chenchao Zhou Ghassan AlRegib Armin Parchami Kunjan Singh 69 2 0 14 Jan 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 76 9 0 12 Jan 2023
Explainable Machine Learning for Hydrocarbon Prospect Risking Ahmad Mustafa Ghassan AlRegib 54 2 0 15 Dec 2022
Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng Kristjan Greenewald Kangwook Lee Justin Solomon Mikhail Yurochkin 48 2 0 13 Oct 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar Ghassan AlRegib 123 20 0 17 Sep 2022
Anomaly Detection via Self-organizing Map Ning Li Kaitao Jiang Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong 85 34 0 21 Jul 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 80 10 0 23 Mar 2021