Introspective Learning : A Two-Stage Approach for Inference in Neural Networks

17 September 2022

Papers citing "Introspective Learning : A Two-Stage Approach for Inference in Neural Networks"

11 / 11 papers shown

Title
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior Jorge Quesada Chen Zhou Prithwijit Chowdhury Mohammad Alotaibi Ahmad Mustafa Yusufjon Kumamnov Mohit Prabhushankar Ghassan AlRegib AI4CE 39 0 0 13 May 2025
Hierarchical and Multimodal Data for Daily Activity Understanding Ghazal Kaviani Yavuz Yarici Seulgi Kim Mohit Prabhushankar Ghassan AlRegib Mashhour Solh Ameya Patil 54 0 0 24 Apr 2025
Effective Data Selection for Seismic Interpretation through Disagreement Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 37 2 0 01 Jun 2024
FOCAL: A Cost-Aware Video Dataset for Active Learning Kiran Kokilepersaud Yash-yee Logan Ryan Benkert Chen Zhou Mohit Prabhushankar Ghassan AlRegib Enrique Corona Kunjan Singh Mostafa Parchami 16 4 0 17 Nov 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 29 7 0 06 Apr 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 20 9 0 16 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks Mohit Prabhushankar Ghassan Al-Regib 12 3 0 11 Feb 2023
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 84 0 21 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 288 36,371 0 25 Aug 2016
Efficient Per-Example Gradient Computations Ian Goodfellow 186 74 0 07 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015