System Performance
System performance research focuses on optimizing the efficiency and accuracy of various computational systems, from machine learning models to robotic controllers and even quantum computers. Current research emphasizes improving model architectures (e.g., graph-oriented databases for language models, retention-based networks for multi-agent reinforcement learning) and training techniques (e.g., hard sample mining, co-optimization of design and control), while also addressing issues like fairness, robustness, and explainability. These advancements have significant implications for diverse fields, impacting the development of more efficient and reliable AI systems, improved medical diagnostics, and enhanced manufacturing processes.
Papers
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan, Gokhan Yurdakul, Berk Canberk
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift
Bruno Laboissiere Camargos Borges, Bruno Machado Pacheco, Danilo Silva
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks
Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David Clifton, Alejo Nevado-Holgado
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
Akash K Rao, Shashank Uttrani, Vishnu K Menon, Darshil Shah, Arnav Bhavsar, Shubhajit Roy Chowdhury, Varun Dutt
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Shashank Uttrani, Ayushman Dixit, Dipanshu Verma, Varun Dutt