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20202026
most citedMomentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation

18 citations · 22 across the 19 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 18 cited

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation

Kien Do, Hung Le, Dung Nguyen +5

Data-free Knowledge Distillation (DFKD) has attracted attention recently thanks to its appealing capability of transferring knowledge from a teacher network to a student network wi…

cs.LG2022★ 2 cited

Learning to Transfer Role Assignment Across Team Sizes

Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh +1

Multi-agent reinforcement learning holds the key for solving complex tasks that demand the coordination of learning agents. However, strong coordination often leads to expensive ex…

cs.LG2022

Learning Theory of Mind via Dynamic Traits Attribution

Dung Nguyen, Phuoc Nguyen, Hung Le +3

Machine learning of Theory of Mind (ToM) is essential to build social agents that co-live with humans and other agents. This capacity, once acquired, will help machines infer the m…

cs.LG2022

Learning to Constrain Policy Optimization with Virtual Trust Region

Hung Le, Thommen Karimpanal George, Majid Abdolshah +4

We introduce a constrained optimization method for policy gradient reinforcement learning, which uses a virtual trust region to regulate each policy update. In addition to using th…

cs.CR2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Kien Do, Haripriya Harikumar, Hung Le +6

Trojan attacks on deep neural networks are both dangerous and surreptitious. Over the past few years, Trojan attacks have advanced from using only a single input-agnostic trigger a…