Sequential Cross-Domain Recommendation (CDR) has been popularly studied to utilize
different domain knowledge and users' historical behaviors for the next-item prediction. In …

Abstract Dynamic Time War** (DTW) is used for matching pairs of sequences and
celebrated in applications such as forecasting the evolution of time series, clustering time …

For weakly supervised object localization (WSOL), how to avoid the network focusing only
on some small discriminative parts is a main challenge needed to solve. The widely-used …

Windshear is a microscale meteorological phenomenon that can be dangerous to aircraft
during the take-off and landing phases. Accurate windshear detection plays a significant role …

Capacity constrained optimal transport is a variant of optimal transport, which adds extra
constraints on the set of feasible couplings in the original optimal transport problem to limit …

Abstract Graph Contrastive Learning (GCL) generates graph-level embeddings by
maximizing Mutual Information between different augmented views of the same graph …

In this paper, we propose the optimal production transport model, which is an extension of
the classical optimal transport model. We observe in economics, the production of the …

Supervised dimensionality reduction for sequence data learns a transformation that maps
the observations in sequences onto a low-dimensional subspace by maximizing the …

Distance between sequences is structural by nature because it needs to establish the
temporal alignments among the temporally correlated vectors in sequences with varying …

Much like the classical Fisher linear discriminant analysis (LDA), the recently proposed
Wasserstein discriminant analysis (WDA) is a linear dimensionality reduction method that …