200 citations · 557 across the 42 of their papers we have counts for
4 papers · 1 filter
Transfer Learning with Binary Neural Networks
Sam Leroux, Steven Bohez, Tim Verbelen +3
Previous work has shown that it is possible to train deep neural networks with low precision weights and activations. In the extreme case it is even possible to constrain the netwo…
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
Cedric De Boom, Rohan Agrawal, Samantha Hansen +5
The amount of content on online music streaming platforms is immense, and most users only access a tiny fraction of this content. Recommender systems are the application of choice…
Decoupled Learning of Environment Characteristics for Safe Exploration
Pieter Van Molle, Tim Verbelen, Steven Bohez +3
Reinforcement learning is a proven technique for an agent to learn a task. However, when learning a task using reinforcement learning, the agent cannot distinguish the characterist…
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Steven Bohez, Tim Verbelen, Elias De Coninck +3
Deep reinforcement learning is becoming increasingly popular for robot control algorithms, with the aim for a robot to self-learn useful feature representations from unstructured s…