← Authors

Truyen Tran

43 papers · 2011–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (12) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (3) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🀝 Dynamic Duo (29) 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (41) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (168) ⚑ Prolific Year (5)

Conferences

AAAI (7) ACML (7) ICLR (7) IJCAI (5) NIPS (4) CVPR (3) ECCV (2) ICCV (2) ICML (2) WACV (2) MLHC (1) NAACL (1)

Top co-authors

Svetha Venkatesh (29) Hung Le (14) Kien Do (10) Vuong Le (9) Dung Nguyen (8) Thao Minh Le (7) Dinh Phung (6) Sunil Gupta (4) Man Ngo (4) Phuoc Nguyen (4)

Keywords

representation learning (5) neural network (5) restricted boltzmann machine (3) collaborative filtering (3) theory of mind (3) visual question answering (3) multi-agent system (3) relational reasoning (3) large language model (2) causal inference (2) graph neural network (2) variational inference (2) video question answering (2) latent binary variable (2) latent variable model (2) markov random field (2) human-object interaction (2) video understanding (2) unsupervised learning (2) episodic memory (2)

Papers

Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning AAAI 2026
Robust SDE Parameter Estimation Under Missing Time Information Setting AAAI 2026
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering ICLR 2025
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models AAAI 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025
SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse NAACL 2025
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences IJCAI 2025
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach IJCAI 2024
Guiding Visual Question Answering With Attention Priors WACV 2023
Improving Out-of-distribution Generalization with Indirection Representations ICLR 2023
Memory-Augmented Theory of Mind Network AAAI 2023
Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction ICCV 2023
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training IJCAI 2023
Towards Effective and Robust Neural Trojan Defenses via Input Filtering ECCV 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation NIPS 2022
Video Dialog As Conversation about Objects Living in Space-Time ECCV 2022
Generative Pseudo-Inverse Memory ICLR 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization NIPS 2022
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering IJCAI 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021
Goal-Driven Long-Term Trajectory Prediction WACV 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls NIPS 2021
Learning Asynchronous and Sparse Human-Object Interaction in Videos CVPR 2021
Clustering by Maximizing Mutual Information Across Views ICCV 2021
Dynamic Language Binding in Relational Visual Reasoning IJCAI 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020
Hierarchical Conditional Relation Networks for Video Question Answering CVPR 2020
Theory and Evaluation Metrics for Learning Disentangled Representations ICLR 2020
Neural Stored-program Memory ICLR 2020
Self-Attentive Associative Memory ICML 2020
Improving Generalization and Stability of Generative Adversarial Networks ICLR 2019
Learning to Remember More with Less Memorization ICLR 2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos CVPR 2019
Variational Memory Encoder-Decoder NIPS 2018
Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data MLHC 2016
Preference Relation-based Markov Random Fields for Recommender Systems ACML 2015
Ordinal Random Fields for Recommender Systems ACML 2014
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
Mixed-Variate Restricted Boltzmann Machines ACML 2011