Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   aim at facilitating generalization for deep networks while supporting interpretability of the learned representations. Towards this goal,  propose a clustering based regularization that encourages parsimonious representations. Our k-means style objective is easy to optimize and flexible supporting various forms of clustering, including sample and spatial clustering as ll as co-clustering.  demonstrate the effectiveness of our approach on the tasks of unsupervised learning, classification, fine grained categorization and zero-shot learning.
['Renjie Liao', 'Alexander G. Schwing', 'Richard S. Zemel', 'Raquel Urtasun']
I am writing a research paper on a idea Learning Deep Parsimonious Representations
[{"from": "human", "value": "I am writing a research paper on a idea Learning Deep Parsimonious Representations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   aim at facilitating generalization for deep networks while supporting interpretability of the learned representations. Towards this goal,  propose a clustering based regularization that encourages parsimonious representations. Our k-means style objective is easy to optimize and flexible supporting various forms of clustering, including sample and spatial clustering as ll as co-clustering.  demonstrate the effectiveness of our approach on the tasks of unsupervised learning, classification, fine grained categorization and zero-shot learning."}]