Topic: ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation keywords: Semantic segmentation Uncertainty estimation Predictive uncertainty Aleatoric …
2024.04.16
이형권
Topic: Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Keywords: Bayesian Optimization Few-Shot Deep Kernels Meta-Learning
2024.04.02
김철규
Topic : Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Keywords: Gradient-weighted class activation map Visual Explanations Localization Map Reference: 1. …
2024.03.19.
김찬호
Topic : Federated Bayesian Optimization via Thompson Sampling Keywords: Federated Learning Bayesian Optimization Random Fourier Features Thompson Sampling Federated Bayesian Optimization Hyp…
2024.04.02.
구본영
Topic : Linear Coefficient Estimation under Interaction Effect Keywords: Generalized Additive Models Distributional Regression Semi-Structured Effects Mixture Density Networks Reference: 1…
2024.03.26.
부도현
Topic : Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Keywords: Causal Inference Heterogeneous Treatment Effects Estimation Causal Tree Confoundi…
2024.02.29.
변유정
Topic : Tabular Data and Neural Nerworks Keywords: Deep tabular learning, Numerical Feature embedding, Reference: 1. Grinsztajn, Léo, Edouard Oyallon, and Gaël Varoquaux. "Why do tree-b…
2024-02-29
김현호
Topic: Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy keywords: Transformer Anomaly detection Time series Anomaly Detection Reference: [Presentation] Trans…
2024.02.22
Topic: Collaborative and Distributed Bayesian Optimization via Consensus Keywords: Bayesian Optimization Federated Learning Distributed [이 게시물은 관리자님에 의해 2024-02-26 13:28:36 Seminar에서 이동 됨] [이…
2024.02.15
Topic: Are We Certain It's Anomalous? keywords: Anomaly detection Time series Anomaly Detection GAN(TadGAN) Hyperbolic neural networks Hyperbolic space (Poincaré ball) Model uncertainty Re…
2024.02.01
Topic: Feature Selection keywords: Embedded Feature Selection Feature Importance Self-Supervised Learning [이 게시물은 관리자님에 의해 2024-02-26 13:30:13 Seminar에서 이동 됨] [이 게시물은 관리자님에 의해 2024-02-26 13:3…
2024.01.25.
Topic: Neural Collaboratvie Filtering keywords: Collaborative Filtering Neural Networks Deep Learning Matrix Factorization, Implicit Feedback Reference: Xiangnan He, Lizi Liao, Hanwang Z…
2024.01.25
김남현
Topic: Causality Inspired Representation Learning for Domain Generalization keywords: Causal Inference Domain Adaptation Out-of-Distribution Representation Learning Adversarial Learning Re…
2024.01.18.
Topic - Domain Adaptation under monotonic causal shift via Surrogate Domain Estimation (DASDE) - Domain Adaptation under monotonic causal shift via Causal Distribution Transformation (DACDT) Keyw…
2024.01.11.
Topic: Heterogeneous Matrix Factorization keywords: Matrix Factorization Heterogeneous sources Feature Extraction Distributed [이 게시물은 관리자님에 의해 2024-02-26 13:30:13 Seminar에서 이동 됨] [이 게시물은 관리자…
2024.01.16