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Found 4 papers, 0 papers with code
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Diffusion models have recently received increasing research attention for their remarkable transfer abilities in semantic segmentation tasks.
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
With an increase in the number of applications where data is represented as graphs, the problem of graph generation has recently become a hot topic.
Asynchronous Decentralized SGD with Quantized and Local Updates
Perhaps surprisingly, we show that a variant of SGD called \emph{SwarmSGD} still converges in this setting, even if \emph{non-blocking communication}, \emph{quantization}, and \emph{local steps} are all applied \emph{in conjunction}, and even if the node data distributions and underlying graph topology are both \emph{heterogenous}.
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
We prove that, under standard assumptions, SGD can converge even in this extremely loose, decentralized setting, for both convex and non-convex objectives.
