Summary of Dualtime: a Dual-adapter Multimodal Language Model For Time Series Representation, by Weiqi Zhang et al.
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representationby Weiqi Zhang, Jiexia Ye, Ziyue…
Summary of Ensemble Model with Bert,roberta and Xlnet For Molecular Property Prediction, by Junling Hu
Ensemble Model With Bert,Roberta and Xlnet For Molecular property predictionby Junling HuFirst submitted to arxiv…
Summary of Discrete Multimodal Transformers with a Pretrained Large Language Model For Mixed-supervision Speech Processing, by Viet Anh Trinh et al.
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processingby Viet Anh…
Summary of Diffusion-rpo: Aligning Diffusion Models Through Relative Preference Optimization, by Yi Gu et al.
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimizationby Yi Gu, Zhendong Wang, Yueqin Yin, Yujia…
Summary of Foundation Inference Models For Markov Jump Processes, by David Berghaus et al.
Foundation Inference Models for Markov Jump Processesby David Berghaus, Kostadin Cvejoski, Patrick Seifner, Cesar Ojeda,…
Summary of Profeat: Projected Feature Adversarial Training For Self-supervised Learning Of Robust Representations, by Sravanti Addepalli et al.
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representationsby Sravanti Addepalli, Priyam Dey,…
Summary of Graph Mining Under Data Scarcity, by Appan Rakaraddi et al.
Graph Mining under Data scarcityby Appan Rakaraddi, Lam Siew-Kei, Mahardhika Pratama, Marcus de CarvalhoFirst submitted…
Summary of Error Bounds Of Supervised Classification From Information-theoretic Perspective, by Binchuan Qi
Error Bounds of Supervised Classification from Information-Theoretic Perspectiveby Binchuan QiFirst submitted to arxiv on: 7…
Summary of Proofread: Fixes All Errors with One Tap, by Renjie Liu et al.
Proofread: Fixes All Errors with One Tapby Renjie Liu, Yanxiang Zhang, Yun Zhu, Haicheng Sun,…
Summary of Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities For Out-of-sample Extension, by Shuang Ni et al.
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extensionby Shuang Ni, Adrien…