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Hung Le

5 papers hereh-index 7180 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
same name
  • Hung Le — 16 papers, h 15
  • Hung Le — 12 papers, h 18
  • Hung Le — 10 papers, h 10
  • Hung Le — 9 papers, h 3
  • Hung Le — 7 papers, h 1
  • Hung Le — 5 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

18 citations · 22 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

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.LG2021★ 3 cited

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Hung Le, Thommen Karimpanal George, Majid Abdolshah +2

Episodic control enables sample efficiency in reinforcement learning by recalling past experiences from an episodic memory. We propose a new model-based episodic memory of trajecto…

cs.LG2021★ 1 cited

Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets

Thommen George Karimpanal, Hung Le, Majid Abdolshah +4

The optimistic nature of the Q-learning target leads to an overestimation bias, which is an inherent problem associated with standard Q−learning. Such a bias fails to account for…

cs.LG2021

Plug and Play, Model-Based Reinforcement Learning

Majid Abdolshah, Hung Le, Thommen Karimpanal George +3

Sample-efficient generalisation of reinforcement learning approaches have always been a challenge, especially, for complex scenes with many components. In this work, we introduce P…

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