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Found 9 papers, 3 papers with code
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation
The proposed label-embedded pose regression strategy interprets the learnt latent space representations utilising continuous pose representations.
Faster Adaptive Decentralized Learning Algorithms
To fill these gaps, we propose a class of faster adaptive decentralized algorithms (i. e., AdaMDOS and AdaMDOF) for distributed nonconvex stochastic and finite-sum optimization, respectively.
Code Representation Pre-training with Complements from Program Executions
The test cases are obtained with the assistance of a customized fuzzer and are only required during pre-training.
Understanding Programs by Exploiting (Fuzzing) Test Cases
The effectiveness of the proposed method is verified on two program understanding tasks including code clone detection and code classification, and it outperforms current state-of-the-arts by large margins.
Graph Reinforcement Learning for Radio Resource Allocation
Deep reinforcement learning (DRL) for resource allocation has been investigated extensively owing to its ability of handling model-free and end-to-end problems.
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
Deep reinforcement learning has been applied for a variety of wireless tasks, which is however known with high training and inference complexity.
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming
Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning.
LSICC: A Large Scale Informal Chinese Corpus
Deep learning based natural language processing model is proven powerful, but need large-scale dataset.
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification
This paper focuses on learning both local semantic and global structure representations for text classification.
