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Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
MAMA: A Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
A survey on neural topic models: methods, applications, and challenges
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
TOPIC MODELING AS MULTI-OBJECTIVE CONTRASTIVE OPTIMIZATION
Effective Neural Topic Modeling with Embedding Clustering Regularization
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Contrastive Learning for Neural Topic Model
Enriching and Controlling Global Semantics for Text Summarization
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