82 citations · 257 across the 28 of their papers we have counts for
26 papers
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying
Thommen George Karimpanal, Laknath Buddhika Semage, Santu Rana +4
Large language models (LLMs) have recently demonstrated their impressive ability to provide context-aware responses via text. This ability could potentially be used to predict plau…
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
Hung Tran, Vuong Le, Svetha Venkatesh +1
Humans are highly adaptable, swiftly switching between different modes to progressively handle different tasks, situations and contexts. In Human-object interaction (HOI) activitie…
Memory-Augmented Theory of Mind Network
Dung Nguyen, Phuoc Nguyen, Hung Le +3
Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cogni…
Video Dialog as Conversation about Objects Living in Space-Time
Hoang-Anh Pham, Thao Minh Le, Vuong Le +2
It would be a technological feat to be able to create a system that can hold a meaningful conversation with humans about what they watch. A setup toward that goal is presented as a…
Improving Generalization and Stability of Generative Adversarial Networks
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
Generative Adversarial Networks (GANs) are one of the most popular tools for learning complex high dimensional distributions. However, generalization properties of GANs have not be…
Multilevel Anomaly Detection for Mixed Data
Kien Do, Truyen Tran, Svetha Venkatesh
Anomalies are those deviating from the norm. Unsupervised anomaly detection often translates to identifying low density regions. Major problems arise when data is high-dimensional…