CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

18 November 2018

Papers citing "CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans"

6 / 6 papers shown

Title
LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning Beichen Li Yuanfang Guo Heqi Peng Yangxi Li Yun-an Wang 26 0 0 19 Apr 2024
Cliff-Learning T. T. Wang I. Zablotchi Nir Shavit Jonathan S. Rosenfeld 47 0 0 14 Feb 2023
Adversarial Policies Beat Superhuman Go AIs T. T. Wang Adam Gleave Tom Tseng Kellin Pelrine Nora Belrose ... Michael Dennis Yawen Duan V. Pogrebniak Sergey Levine Stuart Russell AAML 26 21 0 01 Nov 2022
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components Boyue Caroline Hu Lina Marsso Krzysztof Czarnecki Rick Salay Huakun Shen Marsha Chechik 24 21 0 08 Feb 2022
Neural ODEs as the Deep Limit of ResNets with constant weights B. Avelin K. Nystrom ODL 40 31 0 28 Jun 2019
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 192 2,946 0 15 Dec 2014