Optimization
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way Ming Chen
These features are then fed into a V alue Classification Network (VCN) which directly generates classification solutions.
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling Peter Halmos
We leverage these advantages to derive a new algorithm Factor Relaxation with Latent Coupling (FRLC), which uses coordinate mirror descent to compute the LC factorization.
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection Y ujin Wang
Image Signal Processors (ISPs) play a fundamental role in camera systems.
Efficient Combinatorial Optimization via Heat Diffusion
To overcome this challenge, diverging from conventional efforts of expanding the solver's search scope, we focus on enabling information to actively propagate to the solver through heat diffusion.
Rehearsal Learning for Avoiding Undesired Future
Machine learning (ML) models have been widely used to make predictions.