activity
20102022
most citedMemorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

143 citations · 1.1k across the 106 of their papers we have counts for

collaborators

121 papers

cs.CV2022

Persistent-Transient Duality in Human Behavior Modeling

Hung Tran, Vuong Le, Svetha Venkatesh +1

We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages th…

cs.LG2022

Learning Theory of Mind via Dynamic Traits Attribution

Dung Nguyen, Phuoc Nguyen, Hung Le +3

Machine learning of Theory of Mind (ToM) is essential to build social agents that co-live with humans and other agents. This capacity, once acquired, will help machines infer the m…

cs.LG2021

Episodic Policy Gradient Training

Hung Le, Majid Abdolshah, Thommen K. George +3

We introduce a novel training procedure for policy gradient methods wherein episodic memory is used to optimize the hyperparameters of reinforcement learning algorithms on-the-fly.…

cs.LG2021★ 3 cited

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Hung Le, Thommen Karimpanal George, Majid Abdolshah +2

Episodic control enables sample efficiency in reinforcement learning by recalling past experiences from an episodic memory. We propose a new model-based episodic memory of trajecto…

cs.CV2021

Semantic Host-free Trojan Attack

Haripriya Harikumar, Kien Do, Santu Rana +2

In this paper, we propose a novel host-free Trojan attack with triggers that are fixed in the semantic space but not necessarily in the pixel space. In contrast to existing Trojan…

cs.LG2021★ 1 cited

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research

Thomas P Quinn, Sunil Gupta, Svetha Venkatesh +1

Deep learning has become popular because of its potential to achieve high accuracy in prediction tasks. However, accuracy is not always the only goal of statistical modelling, espe…