63 citations · 319 across the 19 of their papers we have counts for
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Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Jialin Pan
In deep reinforcement learning (RL) tasks, an efficient exploration mechanism should be able to encourage an agent to take actions that lead to less frequent states which may yield…
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Jialin Pan
How to develop slim and accurate deep neural networks has become crucial for real- world applications, especially for those employed in embedded systems. Though previous work along…
Multi-task memory networks for category-specific aspect and opinion terms co-extraction
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier
In aspect-based sentiment analysis, most existing methods either focus on aspect/opinion terms extraction or aspect terms categorization. However, each task by itself only provides…