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03/15/2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge distillation (KD) has been extensively studied in single-label...
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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...
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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...
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09/29/2021
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
This paper investigates the feasibility of learning good representation ...
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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...
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08/04/2020
