Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering

no code implementations • 6 Jul 2021 • Dumindu Tissera, Kasun Vithanage, Rukshan Wijesinghe, Alex Xavier, Sanath Jayasena, Subha Fernando, Ranga Rodrigo

The network parameters pose as the parameters of those distributions.

Clustering Deep Clustering +2

Transferring Domain Knowledge with an Adviser in Continuous Tasks

no code implementations • 16 Feb 2021 • Rukshan Wijesinghe, Kasun Vithanage, Dumindu Tissera, Alex Xavier, Subha Fernando, Jayathu Samarawickrama

Recent advances in Reinforcement Learning (RL) have surpassed human-level performance in many simulated environments.

OpenAI Gym reinforcement-learning +2

Feature-Dependent Cross-Connections in Multi-Path Neural Networks

no code implementations • 24 Jun 2020 • Dumindu Tissera, Kasun Vithanage, Rukshan Wijesinghe, Kumara Kahatapitiya, Subha Fernando, Ranga Rodrigo

As opposed to conventional network widening, multi-path architectures restrict the quadratic increment of complexity to a linear scale.

Context-Aware Multipath Networks

no code implementations • 26 Jul 2019 • Dumindu Tissera, Kumara Kahatapitiya, Rukshan Wijesinghe, Subha Fernando, Ranga Rodrigo

In view of this, networks which can allocate resources according to the context of the input and regulate flow of information across the network are effective.

Image Classification