62 citations · 84 across the 6 of their papers we have counts for
4 papers · 1 filter
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
Tan Nguyen, Nhat Ho, Ankit Patel +3
Inspired by the success of Convolutional Neural Networks (CNNs) for supervised prediction in images, we design the Deconvolutional Generative Model (DGM), a new probabilistic gener…
Towards a Better Understanding and Regularization of GAN Training Dynamics
Weili Nie, Ankit Patel
Generative adversarial networks (GANs) are notoriously difficult to train and the reasons underlying their (non-)convergence behaviors are still not completely understood. By first…
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Wanjia Liu, Huaijin Chen, Rishab Goel +3
Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks. In such framework, besides…
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
Backpropagation-based visualizations have been proposed to interpret convolutional neural networks (CNNs), however a theory is missing to justify their behaviors: Guided backpropag…