Truyen Tran

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

Achievements

+12 more ↓

🌍 Conference Polyglot (12) 🗺️ Taxonomy Completionist (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (14)

🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🤝 Dynamic Duo (29) 🧬 Topic Evolution 🏆 Grand Slam 💎 Century Club (41) 🔥 Unstoppable (8) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ 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