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] …
2024.02.15
김철규
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
이형권
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.
김찬호
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.
변유정
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.
부도현
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
Topic: Object pose estimation Keywords: Two dimensional displays Pose estimation Real-time Multiple person Part affinity fields Reference: Cao et al., “OpenPose: Realtime Multi-Person 2D …
2023.11.30
김주헌
Topic: MAML: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Keywords: meta learning MAML few shot learning Reference: Chelsea Finn, Pieter Abbeel, Sergey Levine. " Model-…
최승준
Topic: TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks keywords: Anomaly detection Generative adversarial network Time series data Reference: A. Geiger, D. Liu, …
2023.11.16
Keywords: Probabilistic prediction, Gradient boosting Reference: Duan, Tony, et al. "Ngboost: Natural gradient boosting for probabilistic prediction." International conference on machine l…
2023.11.09
김현호
Topic: BART: Bayesian Additive Regression Trees Keywords: Bayesian backfitting MCMC Sum-of-trees model Reference: Hugh A. Chipman, Edward I. George, Robert E. McCulloch "BART: Bayesian addi…
구본영
Topic: Weight Uncertainty in Neural Networks Keywords: model uncertainty bayesian neural network bayesian inference Reference: Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wi…
2023.10.26
Topic: Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts keywords: Test-time adaptation with Domain generalization Meta-learning Knowledge distillation Mixture…
2023.10.12
김태욱
Topic: Domain Adapation for regression Keywords: Covariate Shift [EXPERIMENT1] Distribution matching on source space for Regression [EXPERIMENT2] Distribution matching on latent space for Reg…
2023.09.07
