Summary of Active Learning with Simple Questions, by Vasilis Kontonis et al.
Active Learning with Simple Questionsby Vasilis Kontonis, Mingchen Ma, Christos TzamosFirst submitted to arxiv on:…
Summary of Sensitivity Analysis For Active Sampling, with Applications to the Simulation Of Analog Circuits, by Reda Chhaibi et al.
Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuitsby Reda Chhaibi,…
Summary of Localized Adaptive Risk Control, by Matteo Zecchin et al.
Localized Adaptive Risk Controlby Matteo Zecchin, Osvaldo SimeoneFirst submitted to arxiv on: 13 May 2024CategoriesMain:…
Summary of Glira: Black-box Membership Inference Attack Via Knowledge Distillation, by Andrey V. Galichin et al.
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillationby Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin,…
Summary of Evaluating the Explainable Ai Method Grad-cam For Breath Classification on Newborn Time Series Data, by Camelia Oprea et al.
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Databy Camelia…
Summary of Noisebench: Benchmarking the Impact Of Real Label Noise on Named Entity Recognition, by Elena Merdjanovska et al.
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognitionby Elena Merdjanovska, Ansar…
Summary of On-device Online Learning and Semantic Management Of Tinyml Systems, by Haoyu Ren et al.
On-device Online Learning and Semantic Management of TinyML Systemsby Haoyu Ren, Xue Li, Darko Anicic,…
Summary of Analysis Of the Rate Of Convergence Of An Over-parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent, By Michael Kohler et al.
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned…
Summary of Towards Adaptive Imfs — Generalization Of Utility Functions in Multi-agent Frameworks, by Kaushik Dey et al.
Towards Adaptive IMFs – Generalization of utility functions in Multi-Agent Frameworksby Kaushik Dey, Satheesh K.…
Summary of Anomalyllm: Few-shot Anomaly Edge Detection For Dynamic Graphs Using Large Language Models, by Shuo Liu et al.
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Modelsby Shuo Liu, Di…