research
∙
03/15/2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge distillation (KD) has been extensively studied in single-label...
share
research
∙
07/12/2022
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training
Vision-Language Pre-training (VLP) with large-scale image-text pairs has...
research
∙
12/13/2021
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Multi-label learning in the presence of missing labels (MLML) is a chall...
research
∙
09/29/2021
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
This paper investigates the feasibility of learning good representation ...
research
∙
07/30/2021
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
It is a consensus that small models perform quite poorly under the parad...
research
∙
08/04/2020