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Found 5 papers, 2 papers with code
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Deep equilibrium models (DEQs), as a typical implicit neural network, have demonstrated remarkable success on various tasks.
Robust and Communication-Efficient Federated Domain Adaptation via Random Features
As a result, there is a growing trend to leverage federated learning (FL) techniques to train large ML models in a distributed and collaborative manner.
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Existing works tend to use either image-guided methods, which provide a visual reference but lack control over semantic coherence, or text-guided methods, which ensure faithfulness to text guidance but lack visual quality.
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
To overcome these limitations, we propose a novel adaptive mechanism for cross-silo FL, towards incentivizing organizations to contribute data to maximize their long-term payoffs in a real dynamic training environment.
Color Recognition for Rubik's Cube Robot
We finally design a Rubik's cube robot and construct a dataset to illustrate the efficiency and effectiveness of our online methods and to indicate the ineffectiveness of offline method by color drifting in our dataset.
