51 citations · 117 across the 14 of their papers we have counts for
3 papers · 1 filter
Hyperparameter Tuning for Deep Reinforcement Learning Applications
Mariam Kiran, Melis Ozyildirim
Reinforcement learning (RL) applications, where an agent can simply learn optimal behaviors by interacting with the environment, are quickly gaining tremendous success in a wide va…
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran +2
Currently, the divergence in distributions of design and operational data, and large computational complexity are limiting factors in the adoption of CNNs in real-world application…
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran +2
Although deep neural networks (NNs) have achievedstate-of-the-art accuracy in many visual recognition tasks,the growing computational complexity and energy con-sumption of networks…