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11/06/2022
Collaborative Video Analytics on Distributed Edges with Multiagent Deep Reinforcement Learning
Deep Neural Network (DNN) based video analytics empowers many computer v...
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08/30/2022
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Lossless image compression is an essential research field in image compr...
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07/09/2022
Multi-label Classification with High-rank and High-order Label Correlations
Exploiting label correlations is important to multi-label classification...
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05/12/2022
Ensemble Clustering via Co-association Matrix Self-enhancement
Ensemble clustering integrates a set of base clustering results to gener...
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03/07/2022
RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media
With the development of social media, various rumors can be easily sprea...
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07/16/2021
Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems
This paper develops a systematic data-based approach to the closed-loop ...
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04/04/2021
PDWN: Pyramid Deformable Warping Network for Video Interpolation
Video interpolation aims to generate a non-existent intermediate frame g...
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01/29/2021
Adversarial Learning with Cost-Sensitive Classes
It is necessary to improve the performance of some special classes or to...
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11/28/2020
Generalized Adversarial Examples: Attacks and Defenses
Most of the works follow such definition of adversarial example that is ...
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11/27/2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
This paper shows a Min-Max property existing in the connection weights o...
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11/21/2020
On the Convergence of Reinforcement Learning
We consider the problem of Reinforcement Learning for nonlinear stochast...
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11/17/2020
A Review of Generalized Zero-Shot Learning Methods
Generalized zero-shot learning (GZSL) aims to train a model for classify...
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11/11/2020
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications
The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological...
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11/09/2020
Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension
Machine reading comprehension (MRC) is the task that asks a machine to a...
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07/09/2020
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
The development of renewable energy generation empowers microgrids to ge...
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04/02/2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Existing question answering systems can only predict answers without exp...
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02/21/2020
On the Search for Feedback in Reinforcement Learning
This paper addresses the problem of learning the optimal feedback policy...
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08/06/2019
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Classifier chain (CC) is a multi-label learning approach that constructs...
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07/09/2019
To Tune or Not To Tune? How About the Best of Both Worlds?
The introduction of pre-trained language models has revolutionized natur...
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06/27/2019
A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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04/17/2019
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
This paper addresses the problem of learning the optimal control policy ...
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11/18/2018
Realtime Scheduling and Power Allocation Using Deep Neural Networks
With the increasing number of base stations (BSs) and network densificat...
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11/06/2018