Summary of Extracting Pac Decision Trees From Black Box Binary Classifiers: the Gender Bias Study Case on Bert-based Language Models, by Ana Ozaki et al.
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on…
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on…
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generationby SeungBum Ha, Taehwan Lee, Jiyoun…
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learningby Wenbin Pei,…
Feature Selection for Latent Factor Modelsby Rittwika Kansabanik, Adrian BarbuFirst submitted to arxiv on: 13…
Multi-Head Encoding for Extreme Label Classificationby Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao ZhangFirst submitted…
Performance evaluation of predictive AI models to support medical decisions: Overview and guidanceby Ben Van…
Analyzing Fairness of Classification Machine Learning Model with Structured Datasetby Ahmed Rashed, Abdelkrim Kallich, Mohamed…
When Can Memorization Improve Fairness?by Bob Pepin, Christian Igel, Raghavendra SelvanFirst submitted to arxiv on:…
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialoguesby Mengze Hong, Di Jiang, Yuanfeng…
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselinesby Svetlana Pavlitska, Leopold Müller, J.…