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11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
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08/24/2022
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning
In real-world scenarios, reinforcement learning under sparse-reward syne...
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08/24/2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
The sparsity of extrinsic rewards poses a serious challenge for reinforc...
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08/10/2022
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization
Aggregating messages is a key component for the communication of multi-a...
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07/12/2022
Trusted Multi-Scale Classification Framework for Whole Slide Image
Despite remarkable efforts been made, the classification of gigapixels w...
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04/28/2022
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
We present an approach to learn voice-face representations from the talk...
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02/17/2022
The Development and Prospect of Code Clone
The application of code clone technology accelerates code search, improv...
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11/26/2021
Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism
While many forms of financial support are currently available, there are...
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08/23/2021
Pull Request Latency Explained: An Empirical Overview
Pull request latency evaluation is an essential application of effort ev...
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05/25/2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Recently, deep reinforcement learning (RL) algorithms have made great pr...
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03/27/2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
Recently, deep Reinforcement Learning (RL) algorithms have achieved dram...
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01/27/2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Federated learning (FL) enables distributed participants to collectively...
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07/16/2020
Audio Tagging by Cross Filtering Noisy Labels
High quality labeled datasets have allowed deep learning to achieve impr...
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03/11/2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Off-Policy Actor-Critic (Off-PAC) methods have proven successful in a va...
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02/22/2020
Multi-Representation Knowledge Distillation For Audio Classification
As an important component of multimedia analysis tasks, audio classifica...
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10/05/2019
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems
The aim of multi-agent reinforcement learning systems is to provide inte...
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02/19/2019
Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network
A challenge in speech production research is to predict future tongue mo...
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01/22/2019
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
The RGB-D camera maintains a limited range for working and is hard to ac...
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11/12/2018
Learning data augmentation policies using augmented random search
Previous attempts for data augmentation are designed manually, and the a...
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10/30/2018
General audio tagging with ensembling convolutional neural network and statistical features
Audio tagging aims to infer descriptive labels from audio clips. Audio t...
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10/16/2018
Collaborative Deep Learning Across Multiple Data Centers
Valuable training data is often owned by independent organizations and l...
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08/12/2018