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09/04/2023
ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction
This paper proposes a hybrid radiance field representation for unbounded...
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04/11/2023
Federated Learning with Classifier Shift for Class Imbalance
Federated learning aims to learn a global model collaboratively while th...
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12/09/2022
AuE-IPA: An AU Engagement Based Infant Pain Assessment Method
Recent studies have found that pain in infancy has a significant impact ...
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11/30/2022
Predicting Properties of Quantum Systems with Conditional Generative Models
Machine learning has emerged recently as a powerful tool for predicting ...
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10/23/2022
Attention Based Relation Network for Facial Action Units Recognition
Facial action unit (AU) recognition is essential to facial expression an...
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09/02/2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
One of the key challenges of learning an online recommendation model is ...
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08/28/2022
Asynchronous Training Schemes in Distributed Learning with Time Delay
In the context of distributed deep learning, the issue of stale weights ...
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04/18/2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
The vast majority of existing algorithms for unsupervised domain adaptat...
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03/17/2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Model-agnostic meta-learning (MAML) and its variants have become popular...
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01/30/2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Domain generalization asks for models trained on a set of training envir...
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06/16/2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Multi-task learning (MTL) aims to improve the generalization of several ...
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11/12/2020
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Smart meter devices enable a better understanding of the demand at the p...
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06/25/2020
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets
Gradient-based meta-learning (GBML) with deep neural nets (DNNs) has bec...
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12/12/2019
Robust Data-driven Profile-based Pricing Schemes
To enable an efficient electricity market, a good pricing scheme is of v...
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11/18/2019
Vulnerability Analysis for Data Driven Pricing Schemes
Data analytics and machine learning techniques are being rapidly adopted...
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06/22/2017
A Novel VHR Image Change Detection Algorithm Based on Image Fusion and Fuzzy C-Means Clustering
This thesis describes a study to perform change detection on Very High R...
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12/14/2016
Super-resolution Reconstruction of SAR Image based on Non-Local Means Denoising Combined with BP Neural Network
In this article, we propose a super-resolution method to resolve the pro...
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04/22/2016