Skip to content

Add new contrastive papers #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Add new contrastive papers #7

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -259,6 +259,10 @@ Current NLP models heavily rely on effective representation learning algorithms.

### Information Extraction

1. **Contrastive Learning for Neural Topic Model** *Thong Nguyen, Anh Tuan Luu* `NeurIPS 2021` [[pdf]](https://arxiv.org/abs/2110.12764) [[code]](https://github.com/nguyentthong/CLNTM)

1. **Topic Modeling as Multi-Objective Contrastive Optimization** *Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu* `ICLR 2024` [[pdf]](https://arxiv.org/abs/2402.07577)

1. **ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning** *Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou* `ACL 2021` [[pdf]](https://arxiv.org/abs/2012.15022) [[code]](https://github.com/thunlp/ERICA)

1. **CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction** *Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang* `ACL 2021` [[pdf]](https://arxiv.org/abs/2106.10855)
Expand Down Expand Up @@ -420,6 +424,14 @@ Current NLP models heavily rely on effective representation learning algorithms.

### Vision-and-Language

1. **Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning** *Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan* `ECCV 2024` [[pdf]](https://arxiv.org/abs/2407.03788)

1. **Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions** *Thong Nguyen, Xiaobao Wu, Anh-Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing* `EMNLP 2022` [[pdf]](https://arxiv.org/abs/2211.03524) [[code]](https://github.com/nguyentthong/adaptive_contrastive_mrhp)

1. **Kdmcse: Knowledge distillation multimodal sentence embeddings with adaptive angular margin contrastive learning** *Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu, Anh Tuan Luu* `NAACL 2024` [[pdf]](https://arxiv.org/abs/2403.17486) [[code]](https://github.com/duyngtr16061999/KDMCSE)

1. **Improving multimodal sentiment analysis: Supervised angular margin-based contrastive learning for enhanced fusion representation** `EMNLP 2023 (Findings)` *Cong-Duy Nguyen, Thong Nguyen, Duc Anh Vu, Luu Anh Tuan* [[pdf]](https://arxiv.org/abs/2312.02227)

1. **Language Models Can See: Plugging Visual Controls in Text Generation** *Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier* `arXiv` [[pdf]](https://arxiv.org/abs/2205.02655) [[code]](https://github.com/yxuansu/magic)

1. **Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding** *Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He* `NeurIPS 2020` [[pdf]](https://papers.nips.cc/paper/2020/file/d27b95cac4c27feb850aaa4070cc4675-Paper.pdf)
Expand Down