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Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
The core operation of Graph Neural Networks (GNNs) is the aggregation en...
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Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
The performance limit of Graph Convolutional Networks (GCNs) and the fac...
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META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning
Temporal-Difference (TD) learning is a standard and very successful rein...
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Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Image captioning is a research hotspot where encoder-decoder models comb...
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Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Recently, neural network based approaches have achieved significant impr...
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Faster and More Accurate Learning with Meta Trace Adaptation
Learning speed and accuracy are of universal interest for reinforcement ...
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A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
The infeasible parts of the objective space in difficult many-objective ...
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Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization
Out of practical concerns and with the expectation to achieve high overa...
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An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning
Researches have shown difficulties in obtaining proximity while maintain...
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