Tag Archives: Bayesian Deep Learning nips workshop
Meet us at the NIPS workshops were we will be presenting the following works:
- Sample-Efficient Imitation Learning via Generative Adversarial Nets (Lionel Blondé, Alexandros Kalousis), in the Deep RL and in the Imitation Learning and its Challenges in Robotics workshops.
- Continual Classification Learning Using Generative Models (Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis), in the Continual Learning workshop.
- Variational Saccading: Efficient Inference for Large Resolution Images (Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis), in the Bayesian Deep Learning workshop.