Understanding intermediate layers using linear classifier probes

5 October 2016

Papers citing "Understanding intermediate layers using linear classifier probes"

8 / 158 papers shown

Title
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 13 10 0 19 Apr 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 13 328 0 19 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick D. McDaniel OOD AAML 6 502 0 13 Mar 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 31 1,789 0 30 Nov 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition Che-Wei Huang Shrikanth. S. Narayanan HAI 19 25 0 07 Jun 2017
Deep LSTM for Large Vocabulary Continuous Speech Recognition Xudong Tian Jun Zhang Zejun Ma Yi He Juan Wei Peihao Wu Wenchang Situ Shuai Li Yang Zhang 13 30 0 21 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 19 1,386 0 02 Mar 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces Wojciech M. Czarnecki G. Swirszcz Max Jaderberg Simon Osindero Oriol Vinyals Koray Kavukcuoglu 20 81 0 01 Mar 2017