Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports
Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports explores MTAC is a framework for reconstructing urban events from residents' reports by inferring latent causes through multi-task anti-causal learning.. Commercial viability score: 4/10 in Causal Inference.
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