Summary of Velociti: Can Video-language Models Bind Semantic Concepts Through Time?, by Darshana Saravanan et al.
VELOCITI: Can Video-Language Models Bind Semantic Concepts through Time?by Darshana Saravanan, Darshan Singh, Varun Gupta,…
VELOCITI: Can Video-Language Models Bind Semantic Concepts through Time?by Darshana Saravanan, Darshan Singh, Varun Gupta,…
First-Order Manifold Data Augmentation for Regression Learningby Ilya Kaufman, Omri AzencotFirst submitted to arxiv on:…
Scale Equivariant Graph Metanetworksby Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis PanagakisFirst submitted to arxiv on: 15…
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptationby Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun…
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classificationby Oluwaseun T.…
A Theory of Interpretable Approximationsby Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran,…
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directionsby Xiao Yang, Gaolei Li, Jianhua LiFirst…
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Gamesby Yi Feng, Ping Li,…
A Label is Worth a Thousand Images in Dataset Distillationby Tian Qin, Zhiwei Deng, David…
Active, anytime-valid risk controlling prediction setsby Ziyu Xu, Nikos Karampatziakis, Paul MineiroFirst submitted to arxiv…