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09/04/2023
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval
As the size of Large Multi-Modal Models (LMMs) increases consistently, t...
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08/28/2023
When hard negative sampling meets supervised contrastive learning
State-of-the-art image models predominantly follow a two-stage strategy:...
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03/31/2023
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers
Vision Transformers have been incredibly effective when tackling compute...
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02/11/2023
Divergence-Based Domain Transferability for Zero-Shot Classification
Transferring learned patterns from pretrained neural language models has...
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02/02/2022
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions
Transfer learning approaches have shown to significantly improve perform...
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07/26/2020
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models
Effective methodologies for evaluating recommender systems are critical,...
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09/17/2019