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09/06/2023
Image Aesthetics Assessment via Learnable Queries
Image aesthetics assessment (IAA) aims to estimate the aesthetics of ima...
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09/01/2023
Efficient RLHF: Reducing the Memory Usage of PPO
Reinforcement Learning with Human Feedback (RLHF) has revolutionized lan...
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08/29/2023
FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models
Leveraging “chain-of-thought (CoT)” reasoning to elicit rapid and precis...
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08/24/2023
LR-XFL: Logical Reasoning-based Explainable Federated Learning
Federated learning (FL) is an emerging approach for training machine lea...
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08/14/2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interf...
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08/07/2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers
Federated learning (FL) addresses data privacy concerns by enabling coll...
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07/25/2023
Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing
Quantum cloud computing (QCC) offers a promising approach to efficiently...
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07/20/2023
Fairness-Aware Client Selection for Federated Learning
Federated learning (FL) has enabled multiple data owners (a.k.a. FL clie...
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07/20/2023
Flatness-Aware Minimization for Domain Generalization
Domain generalization (DG) seeks to learn robust models that generalize ...
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07/01/2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation
Accurately estimating gas usage is essential for the efficient functioni...
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06/26/2023
Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing
In this paper, we aim to address the challenge of hybrid mobile edge-qua...
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06/16/2023
Towards Quantum Federated Learning
Quantum Federated Learning (QFL) is an emerging interdisciplinary field ...
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05/25/2023
Meta Adaptive Task Sampling for Few-Domain Generalization
To ensure the out-of-distribution (OOD) generalization performance, trad...
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05/24/2023
Rethinking the Evaluation Protocol of Domain Generalization
Domain generalization aims to solve the challenge of Out-of-Distribution...
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05/11/2023
Multi-Tier Client Selection for Mobile Federated Learning Networks
Federated learning (FL), which addresses data privacy issues by training...
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05/11/2023
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
Auction-based Federated Learning (AFL) has attracted extensive research ...
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04/19/2023
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation
Visual surveillance technology is an indispensable functional component ...
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04/10/2023
Entangled Pair Resource Allocation under Uncertain Fidelity Requirements
In quantum networks, effective entanglement routing facilitates remote e...
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03/16/2023
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect
As mobile health (mHealth) studies become increasingly productive due to...
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03/03/2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Recently, flat minima are proven to be effective for improving generaliz...
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02/27/2023
Towards Interpretable Federated Learning
Federated learning (FL) enables multiple data owners to build machine le...
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02/22/2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Artificial intelligence (AI)-empowered industrial fault diagnostics is i...
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02/03/2023
Clustered Embedding Learning for Recommender Systems
In recent years, recommender systems have advanced rapidly, where embedd...
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01/23/2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Spiking neural networks (SNNs), a variant of artificial neural networks ...
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01/06/2023
Evolutionary Carrier Selection for Shared Truck Delivery Services
With multiple carriers in a logistics market, customers can choose the b...
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12/28/2022
Towards AI-Empowered Crowdsourcing
Crowdsourcing, in which human intelligence and productivity is dynamical...
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12/02/2022
Stable Learning via Sparse Variable Independence
The problem of covariate-shift generalization has attracted intensive re...
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11/21/2022
PiRL: Participant-Invariant Representation Learning for Healthcare
Due to individual heterogeneity, performance gaps are observed between g...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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11/06/2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Recent advances in NLP are brought by a range of large-scale pretrained ...
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11/01/2022
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems
This work poses a distributed multi-resource allocation scheme for minim...
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10/22/2022
Stochastic Qubit Resource Allocation for Quantum Cloud Computing
Quantum cloud computing is a promising paradigm for efficiently provisio...
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10/18/2022
Measure-Theoretic Probability of Complex Co-occurrence and E-Integral
Complex high-dimensional co-occurrence data are increasingly popular fro...
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10/13/2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
Contrastive learning, a self-supervised learning method that can learn r...
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10/13/2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
Deep learning has performed remarkably well on many tasks recently. Howe...
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10/06/2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Prompt tuning, or the conditioning of a frozen pretrained language model...
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09/24/2022
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication
Increasing privacy and security concerns in intelligence-native 6G netwo...
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09/21/2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
Artificial intelligence-empowred Real-Time Bidding (AIRTB) is regarded a...
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09/16/2022
DQC^2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks
With the advantages of high-speed parallel processing, quantum computers...
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09/16/2022
Optimal Stochastic Resource Allocation for Distributed Quantum Computing
With the advent of interconnected quantum computers, i.e., distributed q...
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08/24/2022
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning
Increasing privacy and security concerns in intelligence-native 6G netwo...
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08/17/2022
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks
Space-air-ground integrated networks (SAGIN) are one of the most promisi...
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08/10/2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Large-scale neural networks possess considerable expressive power. They ...
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08/07/2022
Bias Reducing Multitask Learning on Mental Health Prediction
There has been an increase in research in developing machine learning mo...
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04/17/2022
NICO++: Towards Better Benchmarking for Domain Generalization
Despite the remarkable performance that modern deep neural networks have...
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02/22/2022
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild
Physiological and behavioral data collected from wearable or mobile sens...
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02/16/2022
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
Accurately recognizing health-related conditions from wearable data is c...
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02/15/2022
Towards Verifiable Federated Learning
Federated learning (FL) is an emerging paradigm of collaborative machine...
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02/15/2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
With its powerful capability to deal with graph data widely found in pra...
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01/31/2022