[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
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Updated
May 30, 2022 - HTML
[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
Multimodal and multilingual topic model with pretrained embeddings
This is an implementation of Contrastive Captioner. The aim is to train self supervised representation learning model from scratch to compare performances of various ssl methods such as masked modelling, contrastive learning, non contrastive learning, language supervision.
Project Page of [NeurIPS-2025] "STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data"
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