A Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Air-to-Ground Active Object Tracking via Reinforcement Learning
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-Processing of Recurrent Neural Networks
Group-Agent Reinforcement Learning
Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules
Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration
Multi-fusion Recurrent Network for Argument Pair Extraction
Pacesetter Learning For Large Scale Cooperative Multi-Agent Reinforcement Learning
Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks
Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams
An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting
Generating Sparse Counterfactual Explanations For Multivariate Time Series
Graph Neural Network-Based Representation Learning for Medical Time Series
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting
MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting
MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification
Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering
Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting
Temporal Attention Signatures for Interpretable Time-Series Prediction
Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network
WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting
A Novel Encoder and Label Assignment for Instance Segmentation
A Transformer-based Framework for Biomedical Information Retrieval Systems
A Transformer-Based Method for UAV-View Geo-Localization
Cross-graph Transformer Network for Temporal Sentence Grounding
EGCN: A Node Classification Model based on Transformer and Spatial Feature Attention GCN for Dynamic Graph
Enhance Representational Differentiation Step By Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification
GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction
Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer
Hierarchical Vision and Language Transformer for Efficient Visual Dialog
ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection
Imbalanced Conditional Conv-Transformer For Mathematical Expression Recognition
Knowledge Graph Transformer for Sequential Recommendation
LorenTzE: Temporal Knowledge Graph Embedding based on Lorentz Transformation
MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion
NeuralODE-based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-dimensional Dynamical Systems
RRecT: Chinese Text Recognition with Radical-enhanced Recognition Transformer
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition
SHGAE: Social Hypergraph AutoEncoder for Friendship Inference
Temporal Deformable Transformer For Action Localization
Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.