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Found 3 papers, 0 papers with code
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
In this paper, we provide a causal inference framework to show that the correlative features caused by the target object and its co-occurring objects can be regarded as a mediator, which has both positive and negative impacts on model predictions.
Distributed Storage Allocations for Optimal Service Rates
For the large file model, the optimal spreading depends on the system parameters.
Information Theory Distributed, Parallel, and Cluster Computing Information Theory
Auto-encoders for compressed sensing
Compressed sensing is about recovering a structured high-dimensional signal ${\bf x}\in R^n$ from its under-determined noisy linear measurements ${\bf y}\in R^m$, where $m\ll n$.
