Summary of Zigma: a Dit-style Zigzag Mamba Diffusion Model, by Vincent Tao Hu et al.
ZigMa: A DiT-style Zigzag Mamba Diffusion Modelby Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui,…
Summary of Learning From Synthetic Data For Visual Grounding, by Ruozhen He et al.
Learning from Synthetic Data for Visual Groundingby Ruozhen He, Ziyan Yang, Paola Cascante-Bonilla, Alexander C.…
Summary of Editing Massive Concepts in Text-to-image Diffusion Models, by Tianwei Xiong et al.
Editing Massive Concepts in Text-to-Image Diffusion Modelsby Tianwei Xiong, Yue Wu, Enze Xie, Yue Wu,…
Summary of Rar: Retrieving and Ranking Augmented Mllms For Visual Recognition, by Ziyu Liu et al.
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognitionby Ziyu Liu, Zeyi Sun, Yuhang Zang,…
Summary of A Machine Learning Approach to Predict University Enrolment Choices Through Students’ High School Background in Italy, by Andrea Priulla et al.
A machine learning approach to predict university enrolment choices through students’ high school background in…
Summary of On Pretraining Data Diversity For Self-supervised Learning, by Hasan Abed Al Kader Hammoud et al.
On Pretraining Data Diversity for Self-Supervised Learningby Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio…
Summary of Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role, by Kazuhiro Yamada et al.
Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Roleby…
Summary of Identity Information Based on Human Magnetocardiography Signals, by Pengju Zhang et al.
Identity information based on human magnetocardiography signalsby Pengju Zhang, Chenxi Sun, Jianwei Zhang, Hong GuoFirst…
Summary of Smart: Automatically Scaling Down Language Models with Accuracy Guarantees For Reduced Processing Fees, by Saehan Jo and Immanuel Trummer
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Feesby Saehan Jo,…
Summary of Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects, by Pengfei Ding and Yan Wang and Guanfeng Liu
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospectsby Pengfei Ding, Yan Wang, Guanfeng LiuFirst…