Publication

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Related publications (439)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Graph Chatbot

Chat with Graph Search

Deep Feature Factorization for Concept Discovery

DroNet: Learning to Fly by Driving

Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Geographical Feature Extraction for Entities in Location-based Social Networks

Check Out This Place: Inferring Ambiance from Airbnb Photos

Deep Convolutional Neural Network for Ultrasound Image Enhancement

SIPS: Unsupervised Succinct Interest Points