Probing the Purview of Neural Networks via Gradient Analysis

6 April 2023

Papers citing "Probing the Purview of Neural Networks via Gradient Analysis"

7 / 7 papers shown

Title
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 72 1 0 28 May 2024
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar Ghassan AlRegib 46 19 0 17 Sep 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification Kevin Duarte Yogesh S Rawat M. Shah 39 15 0 22 May 2021
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 58 101 0 16 Oct 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016