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20250401
Fairness

정유립

1. Kearns et al. – Preventing Fairness Gerrymandering

이경선

3. Kearns et al. – An Empirical Study of Rich Subgroup Fairness for Machine Learning

신윤섭

2. Gohar and Cheng – A Survey on Intersectional Fairness

정한교

4. Molina and Loiseau – Bounding and Approximating Intersectional Fairness

김초은

Fair AI platform

20250306
20250320
20250325

정한교

이경선

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

이지후

김초은

Training Unbiased Diffusion Models from Biased Dataset

신윤섭

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-상반기

작성자

admidea

작성일

2025-03-25

조회

25

20180108

최세민

Introduction to GAN variants

Recommender seminar with 네무스텍(Nemustech)

논문

Deep Learning based Recommender System: A Survey and New Perspectives

20171122
이종진

Multilayer Perceptron based Recommender System

20171122
김보영

Autoencoder based Recommendation System

20171128
서지인

Convolutional Neural Network based Recommender System

20171226
최용찬

Recurrent Neural Network based Recommender System

20171226
이지수

Learning deep structured semantic models for web search using clickthrough data

20180124
정구환

Restricted Boltzmann Machine based Recommender System

20180124 유찬우

NADE, GAN Recommender

20180202

정구환

Wide and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning

김사라

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

서지인

Hierarchical Attentive Recurrent Tracking(HART)

최세민

Dilated Recurrent Neural Networks

온일상

MaskRNN: Instance level video object segmentation

이종진

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

백규승

Z-Forcing: Training Stochastic Recurrent Networks

김보영

Gated Recurrent Convolution Neural Network for OCR

최용찬

Learning Hierarchical Information Flow with Recurrent Neural Modules

김동하

Cortical microcircuits as gated-recurrent neural networks

20180425 Recommender seminar with 네무스텍(Nemustech)

김호철

Factorization Machines, Field-aware Factorization Machines

유찬우

Simple and Scalable Response Prediction for Display Advertising

김보영

이종진

Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising

김사라

Personalized click prediction in sponsored search

20180426

이상엽

DeepDocClassifier: Document Classification with Deep Convolutional Neural Network

김성현

Distributed Representations of Sentences and Documents

최용찬

김사라

김보영

Hierarchical Recurrent Neural Network for Document Modeling

김동하

Document Embeddings

이종진

Classify of Select: Neural Architectures for Extractive Document Summarization

백규승

정구환

최세민

20180628 Recommender seminar with 네무스텍(Nemustech)

서지인

최용찬

CTR prediction models

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