바로가기 메뉴: 본문 바로가기; 푸터 바로가기

서울대학교

회원가입

로그인

IDEA Lab.

사이트맵

TOP

Home · Lab Seminar2

Home · Lab Seminar2

20250306
20250320
20250325

정한교

이경선

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

이지후

김초은

Training Unbiased Diffusion Models from Biased Dataset

신윤섭

Deep research

정유립

20250211
20250225

이성은

Prompt Engineering

박세현

Deepseek-R1 PPT

박석훈

202502
Conformal Prediction

박석훈

Stable Conformal Prediction sets – 2022 ICML

이경선

Derandomized novelty detection with FDR control via conformal e-values – 2023 NeurIPS

박진원

Conformalized fairness via quantile regression – 2022 NeurIPS

신윤섭

Improving Expert Predictions with Conformal Prediction – ICML 2023

이지후

Improving Uncertainty Quanitifcaion of Deep Classifiers via Neighborhood Conformal Prediction – AAAI 2023

안영민

Class-conditional conformal prediction with many classes – 2023 NeurIPS

김건웅

Conformal Prediction with Large Language Models for Multi-choice Question Answering – ICML 2023 workshop

정휘창

Conformal Prediction with Missing Values – 2023 ICML

정한교

Conformal Prediciton via Regression-as-classification – 2024 ICLR

박찬무

Testing for outliers with conformal p-values – 2023 Annals

박세현

Verifiably Robust Conformal Prediction – 2024 NeurIPS

최성식

Conformal meta-learners for predictive inference of individual treatment effects. – 2024 NeurIPS

정유립

Conformal Prediction for Deep Classifier via Label Ranking – 2024 ICML

이해영

Conformal Language Modeling – 2024 ICLR

김초은

An Information Theoretic Perspective on Conformal Prediction – 2024 NeurIPS

이성은

Large language model validity via enhanced conformal prediction methods – 2024 NeurIPS

202501
Statistical learning theory

세미나 자료

Localization_Analysis.pdf

세미나 발표 영상

2018-하반기

작성자

admidea

작성일

2025-03-25

조회

24

20180705

정구환

백규승

김동하

20180726 Recommender seminar with 네무스텍(Nemustech)

윤철환

AD Click Prediction a View from the Trenches

유찬우

DEEP NEURAL NETWORKS FOR YOUTUBE RECOMMENDATIONS

이지홍

Related Pins at Pinterest: The Evolution of a Real-World Recommender System

정구환

Online Learning to Rank in Stochastic Click Models

20180809

이상엽

Anomaly Detection: A Survey

이종진

Outlier Detection for Temporal DATA: A Survey

이지수

A survey of outlier detection

김사라

Deep autoencoding gaussian mixture model for unsupervised anomaly detection

최용찬

Semi-Supervised Anomaly Detection

20180921

김성현

Online Incremental Feature Learning with Denoising Autoencoders

이상엽

Bayesian Incremental Learning for Deep Neural Networks

김사라

Error-Driven Incremental Learning in Deep Convolutional Neural Network for Larg-Scale Image Classification

최용찬

Evolutive deep models for online learning on data streams with no storage

백규승

minimax seminar
김경희 교수님

20181006

Minimax lower bounds I

20181013

Minimax bounds II

20181201

Minimax bounds III

20181208

Minimax bounds IV

20181017

백규승

Mirror descent, Hedge

이상엽

Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization

20181115

이상엽

Learning AND-OR Templates for Object Recognition and Detection

김주은

Visualizing and Understanding Convolutional Networks

주여진

“Why Should I Trust You?” Explaining the Predictions of Any Classifier

이종진

Generating Visual Explanations

김성현

Attentive Explanations: Justifying Decisions and Pointing to the Evidence

최용찬

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning models

김보영

20181207
Recommender seminar with 라인 플러스, TL AI DEV팀

김보영

Unbiased Online Recommender Evaluation for Missing-Not-At-Random Implicit Feedback

김사라

Adaptive Collaborative Topic Modeling for Online Recommendation

서지인

Spectral Collaborative Filtering

유찬우

20181207
Recommender seminar with 라인 플러스, TL AI DEV팀

김보영

Unbiased Online Recommender Evaluation for Missing-Not-At-Random Implicit Feedback

김사라

Adaptive Collaborative Topic Modeling for Online Recommendation

서지인

Spectral Collaborative Filtering

유찬우

20181228

김사라

Reviews of DeepLDA

전체 0

답글쓰기

목록보기

다음 2019-상반기
이전 2018-상반기