Summary of Scaling Capability in Token Space: An Analysis Of Large Vision Language Model, by Tenghui Li and Guoxu Zhou and Xuyang Zhao and Qibin Zhao
Scaling Capability in Token Space: An Analysis of Large Vision Language Modelby Tenghui Li, Guoxu…
Summary of A Statistical Framework For Ranking Llm-based Chatbots, by Siavash Ameli et al.
A Statistical Framework for Ranking LLM-Based Chatbotsby Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W.…
Summary of Rdpm: Solve Diffusion Probabilistic Models Via Recurrent Token Prediction, by Xiaoping Wu and Jie Hu and Xiaoming Wei
RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Predictionby Xiaoping Wu, Jie Hu, Xiaoming WeiFirst…
Summary of Extract Free Dense Misalignment From Clip, by Jeongyeon Nam et al.
Extract Free Dense Misalignment from CLIPby JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho KilFirst submitted…
Summary of Mixmas: a Framework For Sampling-based Mixer Architecture Search For Multimodal Fusion and Learning, by Abdelmadjid Chergui et al.
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learningby Abdelmadjid Chergui,…
Summary of Gefl: Model-agnostic Federated Learning with Generative Models, by Honggu Kang et al.
GeFL: Model-Agnostic Federated Learning with Generative Modelsby Honggu Kang, Seohyeon Cha, Joonhyuk KangFirst submitted to…
Summary of An Overview and Discussion Of the Suitability Of Existing Speech Datasets to Train Machine Learning Models For Collective Problem Solving, by Gnaneswar Villuri et al.
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning…
Summary of An Empirical Analysis Of Federated Learning Models Subject to Label-flipping Adversarial Attack, by Kunal Bhatnagar and Sagana Chattanathan and Angela Dang and Bhargav Eranki and Ronnit Rana and Charan Sridhar and Siddharth Vedam and Angie Yao and Mark Stamp
An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attackby Kunal Bhatnagar, Sagana…
Summary of Vortex: a Spatial Computing Framework For Optimized Drone Telemetry Extraction From First-person View Flight Data, by James E. Gallagher et al.
VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Databy…
Summary of Subsampling, Aligning, and Averaging to Find Circular Coordinates in Recurrent Time Series, by Andrew J. Blumberg et al.
Subsampling, aligning, and averaging to find circular coordinates in recurrent time seriesby Andrew J. Blumberg,…