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Kong Aik Lee
42 publications

∙ 06/15/2023

Behavioral Cloning via Search in Embedded Demonstration Dataset

Behavioural cloning uses a dataset of demonstrations to learn a behaviou...

0 Federico Malato, et al. ∙

∙ 03/23/2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

To facilitate research in the direction of fine-tuning foundation models...

0 Stephanie Milani, et al. ∙

∙ 12/27/2022

Behavioral Cloning via Search in Video PreTraining Latent Space

Our aim is to build autonomous agents that can solve tasks in environmen...

0 Federico Malato, et al. ∙

∙ 10/27/2022

Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs

We study a novel neural architecture and its training strategies of spea...

0 Ruijie Tao, et al. ∙

∙ 05/14/2022

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters

Playing games with cheaters is not fun, and in a multi-billion-dollar vi...

0 Anssi Kanervisto, et al. ∙

∙ 03/09/2022

The Transitive Information Theory and its Application to Deep Generative Models

Paradoxically, a Variational Autoencoder (VAE) could be pushed in two op...

0 Trung Ngo, et al. ∙

∙ 01/24/2022

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

As automatic speaker verification (ASV) systems are vulnerable to spoofi...

1 Anssi Kanervisto, et al. ∙

∙ 01/19/2022

Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation

Behavioural cloning has been extensively used to train agents and is rec...

0 Federico Malato, et al. ∙

∙ 10/03/2021

PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction

Speech enhancement aims to improve the perceptual quality of the speech ...

0 Yi Ma, et al. ∙

∙ 09/28/2021

VoxCeleb Enrichment for Age and Gender Recognition

VoxCeleb datasets are widely used in speaker recognition studies. Our wo...

0 Khaled Hechmi, et al. ∙

∙ 07/01/2021

Distilling Reinforcement Learning Tricks for Video Games

Reinforcement learning (RL) research focuses on general solutions that c...

0 Anssi Kanervisto, et al. ∙

∙ 04/21/2021

Multi-task Learning with Attention for End-to-end Autonomous Driving

Autonomous driving systems need to handle complex scenarios such as lane...

0 Keishi Ishihara, et al. ∙

∙ 12/08/2020

Cost Sensitive Optimization of Deepfake Detector

Since the invention of cinema, the manipulated videos have existed. But ...

0 Ivan Kukanov, et al. ∙

∙ 12/02/2020

Policy Supervectors: General Characterization of Agents by their Behaviour

By studying the underlying policies of decision-making agents, we can le...

0 Anssi Kanervisto, et al. ∙

∙ 06/13/2020

Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya

In recent years, transformer models have achieved great success in natur...

0 Abrhalei Tela, et al. ∙

∙ 05/07/2020

Playing Minecraft with Behavioural Cloning

MineRL 2019 competition challenged participants to train sample-efficien...

0 Anssi Kanervisto, et al. ∙

∙ 04/02/2020

Benchmarking End-to-End Behavioural Cloning on Video Games

Behavioural cloning, where a computer is taught to perform a task based ...

0 Anssi Kanervisto, et al. ∙

∙ 04/02/2020

Action Space Shaping in Deep Reinforcement Learning

Reinforcement learning (RL) has been successful in training agents in va...

0 Anssi Kanervisto, et al. ∙

∙ 02/06/2020

An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning

The spoofing countermeasure (CM) systems in automatic speaker verificati...

0 Anssi Kanervisto, et al. ∙

∙ 07/06/2019

Towards Debugging Deep Neural Networks by Generating Speech Utterances

Deep neural networks (DNN) are able to successfully process and classify...

0 Bilal Soomro, et al. ∙

∙ 05/10/2019

Do Autonomous Agents Benefit from Hearing?

Mapping states to actions in deep reinforcement learning is mainly based...

0 Abraham Woubie, et al. ∙

∙ 05/02/2019

From Video Game to Real Robot: The Transfer between Action Spaces

Training agents with reinforcement learning based techniques requires th...

0 Janne Karttunen, et al. ∙

∙ 04/16/2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST s...

0 Kong Aik Lee, et al. ∙

∙ 11/08/2018

Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search

The popularization of science can often be disregarded by scientists as ...

0 Ville Vestman, et al. ∙

∙ 07/26/2018

ToriLLE: Learning Environment for Hand-to-Hand Combat

We present Toribash Learning Environment (ToriLLE), an interface with vi...

0 Anssi Kanervisto, et al. ∙

∙ 04/30/2018

Staircase Network: structural language identification via hierarchical attentive units

Language recognition system is typically trained directly to optimize cl...

0 Trung Ngo Trong, et al. ∙

∙ 04/24/2018

Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification

Voice disguise, purposeful modification of one's speaker identity with t...

0 Rosa González Hautamäki, et al. ∙

∙ 02/05/2016

Fantastic 4 system for NIST 2015 Language Recognition Evaluation

This article describes the systems jointly submitted by Institute for In...

0 Kong Aik Lee, et al. ∙

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