Learning physics constrained dynamic using autoencoder NeurIPS 2022
2023.02.08
한민석
Neural Ordinary Differential Equations, NIPS 2018 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates, ICML 2020
2023-02-03
윤재섭
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Paper review 1. Distilling the Knowledge in a Neural Network (G Hinton et al, 2014 NIPS) 2. Self-training with Noisy Student improves ImageNet classification (Q Xie et al, 2020 CVPR) 3. Knowledge …
2023.01.18
김태욱
Topic: Clustering using silhouette coefficients Keywords: Cluster analysis Cluster validity index Silhouette coefficient Objective function clustering Reference: F. Batool, "Clustering wit…
김주헌
Topic: Feedback loop in machine learning Keywords: Feedback loop Recommender system Control system Reference: A. Khritankov, "Hidden Feedback Loops in Machine Learning Systems: A Simulation…
2023.01.03
Physics-Informed neural network - Concept & Practice
2023.01.10
Topic: Merging Components in Linear Gaussian Cluster-Weighted Models Keywords: Mixture Models, Cluster Weighted Models, Model based clustering Reference: 1. Oh, Sangkon, and Byungtae Seo.…
2023-01-03
김현호
Contrastive learning
2022-12-22
Dall-E
Out-of-distribution detection using union of 1-dimensional subspaces
2022.11.24
NET-DNF Tabular 데이터에 알맞는 Inductive bias로써, DNNF block을 제안함
2022.11.17
Topic: LIME & SHAP Keywords: Explanable AI Model-agnostic local surrogate model Shapley value, LIME, Reference: 1. Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. "" Why should …
2022-11-17
Topic: Incorporating Prior Domain Knowledge into Loss Function Keywords: Noisy Data Domain Knowledge Neural Networks Deep Learning Limited Training Data Reference: N. Muralidhar, M. R. Is…
2022.11.03
Bayesian Linear Regression and Gaussian process regression - full derivation of Bayesian LR - GPR tutorial
2022.10.06