MLBBQ: Estimating Training Data Influence by Tracing Gradient Descent by Mahfuz Rahman
Estimating Training Data Influence by Tracing Gradient Descent.
https://arxiv.org/abs/2002.08484
This paper proposes a simple but interesting idea of how we can explain prediction of a test sample by the order of influences of training examples. Looking forward to see you there and have a discussion together!
Видео MLBBQ: Estimating Training Data Influence by Tracing Gradient Descent by Mahfuz Rahman канала Sergey Plis
https://arxiv.org/abs/2002.08484
This paper proposes a simple but interesting idea of how we can explain prediction of a test sample by the order of influences of training examples. Looking forward to see you there and have a discussion together!
Видео MLBBQ: Estimating Training Data Influence by Tracing Gradient Descent by Mahfuz Rahman канала Sergey Plis
Комментарии отсутствуют
Информация о видео
30 сентября 2023 г. 0:40:01
00:55:21
Другие видео канала
CS8850: Independence
MLBBQ: Quantum Machine Learning by Pavel Popov
Advanced Machine Learning: Introduction
CS8850: Linear algebra micro refresher
MLBBQ: Where do Models Go Wrong by Mahfuz Rahman
MLBBQ: Unsupervised Deep Learning for Bayesian Brain MRI Segmentation by William Ashbee
MLBBQ: Evaluating interpretability methods using Quantas by Mahfuz Rahman
Word Embeddings: Semantic Matrix
MLBBQ: integrating Large Language Models (LLMs) with knowledge graphs by Mrinal Mathur
MLBBQ: Efficiently Modeling Long Sequences with Structured State Spaces by Eloy Geenjaar
CS8850: Lagrange multipliers
On Model Calibration
MLBBQ: Cortical surface generation models (Part 1) by William Ashbee
CS8850: Gaussian Mixture Models
CS8850 Maximum Likelihood Estimation
MLBBQ: Spatiotemporal Patterns in Brain Network Dynamics by TJ LaGrow
MLBBQ: The unfolding argument against causal theories of consciousness by Kseniya
MLBBQ: learning interpretable dynamical systems from fMRI data by Eloy Geenjaar
MLBBQ: A graph neural network framework for causal inference in brain networks by William Ashbee
Towards real-time object detection with region proposal networks by Minoo Jafarlou