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03/27/2023
Learning Harmonic Molecular Representations on Riemannian Manifold
Molecular representation learning plays a crucial role in AI-assisted dr...
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01/28/2023
On Pre-trained Language Models for Antibody
Antibodies are vital proteins offering robust protection for the human b...
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11/28/2022
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model
Antimicrobial peptide (AMP) is a promising therapy in the treatment of b...
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10/12/2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Learning from non-stationary data streams, also called Task-Free Continu...
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07/20/2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization
Due to their inference, data representation and reconstruction propertie...
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07/11/2022
Learning an evolved mixture model for task-free continual learning
Recently, continual learning (CL) has gained significant interest becaus...
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03/25/2022
Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model
In this article, we provide the appendix for Lifelong Generative Modelli...
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12/15/2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Variational Autoencoders (VAEs) suffer from degenerated performance, whe...
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08/25/2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
Recent research efforts in lifelong learning propose to grow a mixture o...
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07/09/2021
Lifelong Twin Generative Adversarial Networks
In this paper, we propose a new continuously learning generative model, ...
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07/09/2021
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood
Learning disentangled and interpretable representations is an important ...
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07/09/2021
Lifelong Mixture of Variational Autoencoders
In this paper, we propose an end-to-end lifelong learning mixture of exp...
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07/09/2021
Lifelong Teacher-Student Network Learning
A unique cognitive capability of humans consists in their ability to acq...
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05/29/2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
In this survey, we systematically summarize the current literature on st...
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12/09/2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
This paper explores semi-supervised anomaly detection, a more practical ...
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12/09/2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Surrogate task based methods have recently shown great promise for unsup...
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08/28/2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Recent advances in supervised learning and reinforcement learning have p...
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07/25/2020
Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning
The rapid development of artificial intelligence and deep learning techn...
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07/20/2020
Learning latent representations across multiple data domains using Lifelong VAEGAN
The problem of catastrophic forgetting occurs in deep learning models tr...
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02/07/2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
Lane-change maneuvers are commonly executed by drivers to follow a certa...
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12/02/2019
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Most of the data-driven approaches applied to bearing fault diagnosis up...
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11/25/2019
Inverse-Transform AutoEncoder for Anomaly Detection
Reconstruction-based methods have recently shown great promise for anoma...
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07/06/2012
