Explainable Classifiers Using Counterfactual Approach | AISC

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
20,300
Published on ● Video Link: https://www.youtube.com/watch?v=qWojfLS6Erg


Duration: 47:46
368 views
9

For slides and more information on the paper, visit https://ai.science/e/explainable-classifiers-using-counterfactual-approach--kmySI49bG8m4ZfXUm0b8

Speaker: Agnieszka Mikolajczyk; Host: Ali El-Sharif

Motivation:
Agnieszka will present a new approach to detect Bias in data. Learn about GEBI – Global Explanations for Bias Identification. The proposed method aims to detect bias in data with attribution-based locally-summarized global explanations, coming from post-hoc Explainable Artificial Intelligence (XAI).



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2021-02-12Non-Euclidean Universal Approximation | AISC
2021-02-10Explainable AI with Layer-wise Relevance Propagation (LRP)
2021-02-05An Introduction to Quantum Computing
2021-02-04Predicting compound activity from phenotypic profiles
2021-02-04A Survey on the Explainability of Supervised Machine Learning
2021-01-29Reinforcement learning in sports analytics | AISC
2021-01-28We Can Measure XAI Explanations Better with Templates | AISC
2021-01-27Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods | AISC
2021-01-21Deep Learning in Healthcare and Its Practical Limitations
2021-01-15Introduction to NVIDIA NeMo - A Toolkit for Conversational AI | AISC
2021-01-15Explainable Classifiers Using Counterfactual Approach | AISC
2021-01-14Machine learning meets continuous flow chemistry: Automated process optimization | AISC
2021-01-13Screening and analysis of specific language impairment | AISC
2021-01-08High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC
2021-01-07Locality Guided Neural Networks for Explainable AI | AISC
2021-01-06Explaining image classifiers by removing input features using generative models | AISC
2020-12-24An Introduction to the Quantum Tech Ecosystem | AISC
2020-12-23Explaining by Removing: A Unified Framework for Model Explanation | AISC
2020-12-18The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
2020-12-18Dirichlet Pruning for Neural Network Compression | AISC
2020-12-17Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation | AISC