Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

22 May 2024

Papers citing "Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks"

20 / 20 papers shown

Title
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 48 9 0 16 Feb 2023
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 137 14 0 16 Jun 2022
MaxViT: Multi-Axis Vision Transformer Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li ViT 105 660 0 04 Apr 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 138 5,137 0 10 Jan 2022
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection Yanghao Li Chaoxia Wu Haoqi Fan K. Mangalam Bo Xiong Jitendra Malik Christoph Feichtenhofer ViT 144 686 0 02 Dec 2021
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 203 1,801 0 18 Nov 2021
Multiscale Vision Transformers Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 127 1,257 0 22 Apr 2021
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 99 2,682 0 01 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 411 21,347 0 25 Mar 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 52 10 0 23 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 47 21 0 23 Mar 2021
The relationship between trust in AI and trustworthy machine learning technologies Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Carlos Vladimiro Gonzalez Zelaya Aad van Moorsel FaML 53 257 0 27 Nov 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 327 6,737 0 06 May 2019
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 162 471 0 30 May 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification Saining Xie Chen Sun Jonathan Huang Zhuowen Tu Kevin Patrick Murphy 3DH 137 1,325 0 13 Dec 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 338 4,700 0 15 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 489 10,305 0 16 Nov 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 318 7,971 0 23 May 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014