Summary of Impact Of Sampling Techniques and Data Leakage on Xgboost Performance in Credit Card Fraud Detection, by Siyaxolisa Kabane
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detectionby…
Summary of Reconstructing Deep Neural Networks: Unleashing the Optimization Potential Of Natural Gradient Descent, by Weihua Liu et al.
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descentby Weihua Liu, Said…
Summary of A Causal World Model Underlying Next Token Prediction in Gpt, by Raanan Y. Rohekar et al.
A Causal World Model Underlying Next Token Prediction in GPTby Raanan Y. Rohekar, Yaniv Gurwicz,…
Summary of Tazza: Shuffling Neural Network Parameters For Secure and Private Federated Learning, by Kichang Lee et al.
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learningby Kichang Lee, Jaeho Jin,…
Summary of Ahsg: Adversarial Attacks on High-level Semantics in Graph Neural Networks, by Kai Yuan et al.
AHSG: Adversarial Attacks on High-level Semantics in Graph Neural Networksby Kai Yuan, Xiaobing Pei, Haoran…
Summary of Score-matching-based Structure Learning For Temporal Data on Networks, by Hao Chen et al.
Score-matching-based Structure Learning for Temporal Data on Networksby Hao Chen, Kai Yi, Lin Liu, Yu…
Summary of Real-time Sign Language Recognition Using Mobilenetv2 and Transfer Learning, by Smruti Jagtap et al.
Real-time Sign Language Recognition Using MobileNetV2 and Transfer Learningby Smruti Jagtap, Kanika Jadhav, Rushikesh Temkar,…
Summary of Configx: Modular Configuration For Evolutionary Algorithms Via Multitask Reinforcement Learning, by Hongshu Guo et al.
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learningby Hongshu Guo, Zeyuan Ma, Jiacheng…
Summary of Anomaly Detection Using Diffusion-based Methods, by Aryan Bhosale et al.
Anomaly detection using Diffusion-based methodsby Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio CuzzolinFirst submitted to…
Summary of Quantifying the Prediction Uncertainty Of Machine Learning Models For Individual Data, by Koby Bibas
Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Databy Koby BibasFirst submitted to…