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02/02/2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
The goal of continual learning is to provide intelligent agents that are...
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09/12/2022
β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck
We present a framework for learning disentangled representation of CapsN...
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09/12/2022
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Continual learning aims to rapidly and continually learn the current tas...
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09/09/2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
graph neural networks (GNNs) are the dominant paradigm for modeling and ...
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09/09/2022
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Continual learning aims to learn a sequence of tasks by leveraging the k...
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03/28/2022
Optimistic Online Convex Optimization in Dynamic Environments
In this paper, we study the optimistic online convex optimization proble...
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01/25/2022
GMM Discriminant Analysis with Noisy Label for Each Class
Real world datasets often contain noisy labels, and learning from such d...
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01/25/2022
Bilevel Online Deep Learning in Non-stationary Environment
Recent years have witnessed enormous progress of online learning. Howeve...
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01/24/2022
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
The extensive research leveraging RGB-D information has been exploited i...
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01/19/2022
Online Deep Learning based on Auto-Encoder
Online learning is an important technical means for sketching massive re...
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01/15/2022
Multi-View representation learning in Multi-Task Scene
Over recent decades have witnessed considerable progress in whether mult...
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01/09/2022
Auto-Encoder based Co-Training Multi-View Representation Learning
Multi-view learning is a learning problem that utilizes the various repr...
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01/08/2022
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss
Multi-view learning accomplishes the task objectives of classification b...
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01/05/2022
Adaptive Online Incremental Learning for Evolving Data Streams
Recent years have witnessed growing interests in online incremental lear...
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01/01/2022
Multi-view Subspace Adaptive Learning via Autoencoder and Attention
Multi-view learning can cover all features of data samples more comprehe...
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01/01/2022
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity
Multi-view learning attempts to generate a model with a better performan...
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12/29/2021
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Asynchronous events sequences are widely distributed in the natural worl...
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12/29/2021
Temporal Attention Augmented Transformer Hawkes Process
In recent years, mining the knowledge from asynchronous sequences by Haw...
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12/27/2021
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
In this paper, we use the Hawkes process to model the sequence of failur...
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12/24/2021
Tri-Transformer Hawkes Process: Three Heads are better than one
Abstract. Most of the real world data we encounter are asynchronous even...
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12/23/2021
