Cross-modal reasoning tasks face persistent challenges such as cross-modal inference of causal dependencies with coarse-grained, weak resistance to noise, and weak interaction of spatial-temporal ...

Dynamic neural network architectures systematically adjust their internal configuration at inference time to balance computational cost against predictive performance. Rather than executing every ...