Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sep 14, 2020
Speakers
Sindy Löwe
Speaker · 0 followers
Peter O'Connor
Speaker · 0 followers
Bastiaan S. Veeling
Speaker · 0 followers
About
International Workshop on Active InferenceInternational Workshop on Active Inference…
Organizer
ECML-PKDD 2020
Account · 255 followers
Categories
AI & Data Science
Category · 10.8k presentations
About ECML-PKDD 2020
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place from the 14nd to the 18nd of September 2020. ECML-PKDD is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.
Like the format? Trust SlidesLive to capture your next event!
Professional recording and live streaming, delivered globally.
Sharing
Recommended Videos
Presentations on similar topic, category or speaker
Topological Insights into Sparse Neural Networks
Watch later
Shiwei Liu, …
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Incremental training of a recurrent neural network exploiting a multi-scale dynamic memory
Watch later
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Estimating Precisions for Multiple Binary Classifiers Under Limited Samples
Watch later
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Energy consumption forecasting using a stacked nonparametric Bayesian approach
Watch later
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Watch later
Luwei Yang, …
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization
Watch later
Qi Deng, …
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%