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20250708
20250715
20250722
20250729

박세현

Reasoning in LLM

김초은

Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling

20250501
20250508
20250520
20250525

이해영

Tracing the thoughts of a LLM

정한교

이경선

LLMs Coding Capabilities

이경선

Noise contrastive Estimation of Unnormalized Statistical Models

이지후

OpenAI Safety Hub

정한교

Ontology papers

이관호

20250401
20250408
20250415

김초은

Fair AI platform

이해영

Bayesian Low-Rank Adaptation for Large Language Models

정유립

AI Agent: Microsoft and Anthropic

정유립

AI Agent: MCP and A2A

박석훈

ChatGPT for Research and Publication

20250401
20250415
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

이해영

5. Foulds et al. – An Intersectional Definition of Fairness

김초은

6. Shui et al. – On Learning Fairness and Accuracy on Multiple Subgroups

이지후

7. Hu et al. – 2024 – A Sequentially Fair Mechanism for Multiple Sensitive AttributesFair AI platform

박세현

8. Tian et al. – Multifair Model Fairness with Multiple Sensitive Attributes

2018-상반기

작성자

admidea

작성일

2025-03-25

조회

125

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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