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Found 7 papers, 2 papers with code
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Notably, FinAgent is the first advanced multimodal foundation agent designed for financial trading tasks.
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
Unsupervised methods have been proposed for graph convolutional models but they require ground truth correspondence between the source and target inputs.
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies
The simulation results show that the model established in this paper can reduce economic cost by 72%, primary energy consumption by 73%, and pollutant emission by 88%.
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Whilst both branches are required during training, the RGB branch is our primary network and the semantic branch is not needed for inference.
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand.
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
We perform augmentation by randomly sampling sensible labels from the label space of the few labelled examples available and assigning them as target labels to the abundant unlabelled examples from the same distribution as that of the labelled ones.
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
The key in our proof is that random projections embed stably the set of sparse vectors or a low-dimensional smooth manifold into a low-dimensional subspace.
