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08/07/2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
Continual lifelong learning is an machine learning framework inspired by...
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08/07/2023
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
Deep neural networks (DNNs) have demonstrated promising results in vario...
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06/01/2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Aiming at promoting the safe real-world deployment of Reinforcement Lear...
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05/25/2023
Efficient Approximation Algorithms for Spanning Centrality
Given a graph 𝒢, the spanning centrality (SC) of an edge e measures the ...
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04/05/2023
Relative Entropy-Based Waveform Optimization for Rician Target Detection with Dual-Function Radar Communication Systems
In this paper, we consider waveform design for dualfunction radar-commun...
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12/13/2022
Connectivity-constrained Interactive Panoptic Segmentation
We address interactive panoptic annotation, where one segment all object...
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11/28/2022
DGI: Easy and Efficient Inference for GNNs
While many systems have been developed to train Graph Neural Networks (G...
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08/25/2022
MIMO Multifunction RF Systems: Detection Performance and Waveform Design
This paper studies the detection performance of a multiple-input-multipl...
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08/16/2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Multi-server Federated learning (FL) has been considered as a promising ...
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07/16/2022
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion
We utilize an offline reinforcement learning (RL) model for sequential t...
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06/28/2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
In deterministic optimization, it is typically assumed that all paramete...
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06/28/2022
Manu: A Cloud Native Vector Database Management System
With the development of learning-based embedding models, embedding vecto...
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06/06/2022
Generalized Federated Learning via Sharpness Aware Minimization
Federated Learning (FL) is a promising framework for performing privacy-...
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04/09/2022
Fundamental Limits on Detection With a Dual-function Radar Communication System
This paper investigates the fundamental limits on the target detection p...
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01/08/2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
Federated learning (FL) provides a high efficient decentralized machine ...
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12/23/2021
Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks
Heterogeneous Information Networks (HINs) capture complex relations amon...
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12/22/2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Federated Learning (FL) is a decentralized machine learning architecture...
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12/04/2021
Overcome Anterograde Forgetting with Cycled Memory Networks
Learning from a sequence of tasks for a lifetime is essential for an age...
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11/23/2021
Reviewing continual learning from the perspective of human-level intelligence
Humans' continual learning (CL) ability is closely related to Stability ...
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11/21/2021
Learning by Active Forgetting for Neural Networks
Remembering and forgetting mechanisms are two sides of the same coin in ...
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05/12/2021
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective
Offline reinforcement learning (RL) has increasingly become the focus of...
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02/12/2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Federated learning (FL) is a new machine learning framework which trains...
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01/18/2020
RCELF: A Residual-based Approach for Influence Maximization Problem
Influence Maximization Problem (IMP) is selecting a seed set of nodes in...
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01/18/2020
RCELF: A Residual-based Approach for InfluenceMaximization Problem
Influence Maximization Problem (IMP) is selecting a seed set of nodes in...
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12/13/2018
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Natural language understanding is a challenging problem that covers a wi...
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10/06/2018
Towards Self-Tuning Parameter Servers
Recent years, many applications have been driven advances by the use of ...
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06/28/2016
A Local Density-Based Approach for Local Outlier Detection
This paper presents a simple but effective density-based outlier detecti...
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06/21/2016
Kernel-based Generative Learning in Distortion Feature Space
This paper presents a novel kernel-based generative classifier which is ...
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06/20/2016
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization
In this paper, we present a new wrapper feature selection approach based...
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05/11/2016
EEF: Exponentially Embedded Families with Class-Specific Features for Classification
In this letter, we present a novel exponentially embedded families (EEF)...
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02/09/2016