Gao Huang

Joint Adversarial Domain Adaptation

2019

Domain adaptation aims to transfer the enriched label knowledge from large amounts of source data to unlabeled target data. It has raised significant interest in multimedia analysis. Existing researches mainly focus on learning domain-wise transferable …

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Self-supervised learning has shown its great potential to extract powerful visual representations without human annotations. Various works are proposed to deal with self-supervised learning from different perspectives: (1) contrastive learning methods (e.g., MoCo, SimCLR) utilize …

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength

2024 · IEEE Transactions on Cybernetics

Differentiable architecture search (DARTS) has emerged as a promising technique for effective neural architecture search, and it mainly contains two steps to find the high-performance architecture. First, the DARTS supernet that consists of mixed operations …

Supervised word mover's distance

2016 · PolyPublie (École Polytechnique de Montréal)

Recently, a new document metric called the word mover’s distance (WMD) has been proposed with unprecedented results on kNN-based document classification. The WMD elevates high-quality word embeddings to a document metric by formulating the distance …