Kien Do
17 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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(85)
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Methods
(3)
Models
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Reasoning
(2)
Keywords
reinforcement learning
(3)
multi-agent system
(2)
theory of mind
(2)
representation learning
(2)
episodic memory
(2)
policy gradient
(2)
semi-supervised learning
(1)
causal discovery
(1)
adversarial learning
(1)
data-free learning
(1)
variational inference
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
preference learning
(1)
adaptive learning
(1)
domain generalization
(1)
knowledge distillation
(1)
image editing
(1)
direct preference optimization
(1)
policy optimization
(1)
Papers
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform
CVPR 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models
AAAI 2025
Multi-Reference Preference Optimization for Large Language Models
AAAI 2025
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
IJCAI 2025
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
ICLR 2025
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
IJCAI 2024
Domain Generalisation via Risk Distribution Matching
WACV 2024
Memory-Augmented Theory of Mind Network
AAAI 2023
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
IJCAI 2023
Black-Box Few-Shot Knowledge Distillation
ECCV 2022
Episodic Policy Gradient Training
AAAI 2022
Learning to Constrain Policy Optimization with Virtual Trust Region
NeurIPS 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
NeurIPS 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
ECCV 2022
Clustering by Maximizing Mutual Information Across Views
ICCV 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
AAAI 2021
Theory and Evaluation Metrics for Learning Disentangled Representations
ICLR 2020