Summary of Carte: Pretraining and Transfer For Tabular Learning, by Myung Jun Kim et al.
CARTE: Pretraining and Transfer for Tabular Learningby Myung Jun Kim, Léo Grinsztajn, Gaël VaroquauxFirst submitted…
Summary of A Self-matching Training Method with Annotation Embedding Models For Ontology Subsumption Prediction, by Yukihiro Shiraishi et al.
A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Predictionby Yukihiro Shiraishi, Ken…
Summary of Repetition Improves Language Model Embeddings, by Jacob Mitchell Springer et al.
Repetition Improves Language Model Embeddingsby Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi…
Summary of Mobilellm: Optimizing Sub-billion Parameter Language Models For On-device Use Cases, by Zechun Liu et al.
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Casesby Zechun Liu, Changsheng Zhao, Forrest…
Summary of 2d Matryoshka Sentence Embeddings, by Xianming Li et al.
2D Matryoshka Sentence Embeddingsby Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing LiFirst submitted…
Summary of Mape-ppi: Towards Effective and Efficient Protein-protein Interaction Prediction Via Microenvironment-aware Protein Embedding, by Lirong Wu et al.
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embeddingby Lirong Wu, Yijun…
Summary of Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap For Prompt-based Large Language Models and Beyond, by Xinyu Wang et al.
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models…
Summary of Vn Network: Embedding Newly Emerging Entities with Virtual Neighbors, by Yongquan He and Zihan Wang and Peng Zhang and Zhaopeng Tu and Zhaochun Ren
VN Network: Embedding Newly Emerging Entities with Virtual Neighborsby Yongquan He, Zihan Wang, Peng Zhang,…
Summary of E2usd: Efficient-yet-effective Unsupervised State Detection For Multivariate Time Series, by Zhichen Lai et al.
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Seriesby Zhichen Lai, Huan Li, Dalin Zhang,…
Summary of Analysis Of Using Sigmoid Loss For Contrastive Learning, by Chungpa Lee et al.
Analysis of Using Sigmoid Loss for Contrastive Learningby Chungpa Lee, Joonhwan Chang, Jy-yong SohnFirst submitted…