Hung Le

Orcid: 0000-0002-3126-184X

Affiliations:
  • Deakin University, Applied Artificial Intelligence Institute, Geelong, Australia
  • Deakin University, Geelong, Australia (PhD 2020)


According to our database1, Hung Le authored at least 56 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the effectiveness of discrete representations in sparse mixture of experts.
CoRR, 2024

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning.
CoRR, 2024

ALIAS: DAG Learning with Efficient Unconstrained Policies.
CoRR, 2024

Large Language Models Prompting With Episodic Memory.
CoRR, 2024

SimSMoE: Solving Representational Collapse via Similarity Measure.
CoRR, 2024

Multi-Reference Preference Optimization for Large Language Models.
CoRR, 2024

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory.
CoRR, 2024

Automatic Prompt Selection for Large Language Models.
CoRR, 2024

Variational Flow Models: Flowing in Your Style.
CoRR, 2024

Variable-Agnostic Causal Exploration for Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Large Language Model Prompting with Episodic Memory.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Revisiting the Dataset Bias Problem from a Statistical Perspective.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Beyond Surprise: Improving Exploration Through Surprise Novelty.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.
Artif. Intell., December, 2023

Universal Graph Continual Learning.
Trans. Mach. Learn. Res., 2023

LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying.
CoRR, 2023

Intrinsic Motivation via Surprise Memory.
CoRR, 2023

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust.
CoRR, 2023

BO-Muse: A human expert and AI teaming framework for accelerated experimental design.
CoRR, 2023

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Out-of-distribution Generalization with Indirection Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Domain Generalization with Interpolation Robustness.
Proceedings of the Asian Conference on Machine Learning, 2023

Memory-Augmented Theory of Mind Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection.
CoRR, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.
CoRR, 2022

Memory-Constrained Policy Optimization.
CoRR, 2022

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Constrain Policy Optimization with Virtual Trust Region.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Improving Document Image Understanding with Reinforcement Finetuning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Neurocoder: General-Purpose Computation Using Stored Neural Programs.
Proceedings of the International Conference on Machine Learning, 2022

Generative Pseudo-Inverse Memory.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Theory of Mind via Dynamic Traits Attribution.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Episodic Policy Gradient Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Plug and Play, Model-Based Reinforcement Learning.
CoRR, 2021

Memory and attention in deep learning.
CoRR, 2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Deep Learning to Deep Reasoning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Robust Deep Reinforcement Learning for Extractive Legal Summarization.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

A New Representation of Successor Features for Transfer across Dissimilar Environments.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs.
CoRR, 2020

LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-Attentive Associative Memory.
Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Stored-program Memory.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory.
CoRR, 2019

Learning to Remember More with Less Memorization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Memory-Augmented Neural Networks for Predictive Process Analytics.
CoRR, 2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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