IDEA Lab.

2026 졸업식

admidea — Thu, 26 Feb 2026 15:08:08 +0000

2025 하반기

admidea — Wed, 04 Feb 2026 13:25:43 +0000

20251202

20251216

20251223

20251230

이해영

TabLLM

김초은

NanoBanana-Pro

이성은

AnoLLM

정한교

Scaling Context Requires Rethinking Attention

박석훈

The Kernel Density Integral Transformation

한상문

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

이경선

Anomaly 전체 리뷰

정유립

Gemini20 Live

20251104

20251111

20251125

이경선

Normal-Abnormal Guided Generalist Anomaly Detection

신윤섭

Grok Imagine and Grokipedia

이지후

Video generation models

한상문

Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data

안영민

AI Browser : Comet & Atlas

20251102

Neuro-science

이지후

Neuroscience Seminar Introduction

이관호

Understanding Transformer from the Perspective of Associative Memory

이지후

Brief Explanation on Hopﬁeld Network

정한교

Associative Transformer

이해영

Associative Recurrent Memory Transformer

이지후

Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory

20251026

LLM Persona

이해영

LLM 페르소나 개요

김초은

LaMP: When llms meet personalization

정유립

User Embedding Model for Personalized Language Prompting

박세현

LLMs + Persona-Plug = Personalized LLMs

이경선

Synthesizeme!

박석훈

Persona vector monitoring and controlling character trait in language models

20251014

김초은

Diffusion models

정한교

Google Deepmind 2025 – On the Theoretical Limitations of Embedding-Based Retrieval

20250928

Fairness

김건웅

Fair Regression

한상문

Fair learning with Wasserstein barycenters non decomposable performance measures

이성은

Leveraging Labeled and Unlabeled Data Fair Classification

안영민

Fair Regression via Plug In Estimator and Recalibration

신윤섭

Regression under demographic parity

20250928

Asymtotics

Asymtotics 자료

20250907

Hyperbolic

&Unlearning

박세현

Hyperbolic Image-Text Representations

김초은

Hyperbolic vs. Euclidean Embeddings Few-shot Learning

이지후

Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU

한상문

Erasing Concepts from Diffusion Models

이해영

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation

정유립

Memories of Forgotten Concepts

20250904

이해영

Conformal prediction with LLM

안영민

An effective method for high dimensional log density ANOVA estimation with application to nonparametric graphical model building

Discretization Privacy Preserving Data Publishing for Causal Discovery

한상문

DDPM: Denoising Diffusion Probabilistic Models

20250806

이관호

Efficient Detection of LLM-generated Texts with a Bayesian

한상문

BIRD

안영민

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

신윤섭

Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference

김찬우

Ensemble Bayesian Inference

이해영

Bayesian reward models for llm alignment

20250708

20250722

20250729

박세현

Reasoning in LLM

김초은

Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling

이지후

CBLLMs

이관호

Data Privacy를 위한 데이터 익명화와 비식별화

정한교

Knowledge Graph

정유립

ChatGPT Agent Mode

Professor's pick

admidea — Mon, 13 Oct 2025 15:04:12 +0000

1. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity 2. PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models 3. Continuous Thought Machines 4. Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers 5. Learning to Reason without External Rewards 6. WhyKnowledge Distillation Works in Generative Models: A Minimal Working Explanation 7. Absolute Zero: Reinforced Self-play Reasoning with Zero Data 8. Learning without training: The implicit dynamics of in-context learning 9. AI ResearchAgentsforMachineLearning: Search, Exploration, and Generalization in MLE-bench 10. Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory 11. Memento: Fine-tuning LLM Agents without Fine-tuning LLMs 12. Transformers are SSMs: generalized models and efficient algorithms through structured state space duality. Proceedings of the 41st International Conference on Machine Learning. 13. Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation

2025 상반기

admidea — Wed, 09 Jul 2025 11:18:55 +0000

20250501
20250508
20250520
20250525

이해영

Tracing the thoughts of a LLM

정한교

TabPFNv2

이경선

LLMs Coding Capabilities

이경선

Noise contrastive Estimation of Unnormalized Statistical Models

이지후

OpenAI Safety Hub

정한교

Ontology papers

이관호

Cursor

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

20250306
20250320
20250325

정한교

Palantir

이경선

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

이지후

TabPFN

김초은

Training Unbiased Diffusion Models from Biased Dataset

신윤섭

Deep research

정유립

Label-free CBM

20250211
20250225

이성은

Prompt Engineering

박세현

Deepseek-R1 PPT

박석훈

XBART

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

2025 통계학회

admidea — Tue, 24 Jun 2025 13:26:50 +0000

2024-하반기

admidea — Tue, 25 Mar 2025 16:36:34 +0000

202408
LLM

이경선

The Evolution of Translation Models: From DNN to Transformer

이성은

A Critical Review of Recurrent Neural Networks for Sequence Learning

조영래

Long Short-Term Memory

김초은

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

이해영

Sequence to Sequence Learning with Neural Networks

정한교

Neural Machine Translation by jointly learning to align and translate

박세현

Attention is all you need

신윤섭

(ViT) AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE (ICLR 2021)

이해영

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

박세현

Improving Language Understanding by Generative Pre-Training

조영래

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

이성은

GPT-2: Language Models are Unsupervised Multitask Learners

정한교

GPT-3: GLanguage models are few show Learners

김초은

LLMs are Zero Shot Reasoners

이경선

CLIP: Learning Transferable Visual Models From Natural Language Supervision

신윤섭

Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models

정휘창

Diffusion Model

20241004
LLM with Prof.

이성은

RNN & LSTM

정한교

Seq2Seq & Attention

신윤섭

Transformer

이해영

Speech & Vision Transformer

김초은

GPT1,2,3 + LLM(In-context learning)

박세현

Transformer-based Multivariat time Series. Foundation model for time series

조영래

BERT & GPT

이경선

Multimodal

2024-상반기

admidea — Tue, 25 Mar 2025 16:33:54 +0000

20240108
2023 NeurIPS

이경선

TabMT: Generating tabular data with masked transformers

이지후

Flat Seeking Bayesian Neural Networks

김초은

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

박찬무

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions

신윤섭

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

박유하

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

박진원

Students Parrot Their Teachers: Membership Inference on Model Distillation

박석훈

Feature learning for interpretable , performant decisition treess

정휘창

Causal normalizing flows: from theory to practice

최성식

A Measure-Theoretic Axiomatisation of Causality

정한교

Are Emergent Abilities of Large Language Models a Mirage?

박세현

Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization

공인성

A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

김건웅

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-trained Models in Few-Shot Learning

20240119
Fairness

이경선

ICLR 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

정휘창

ICML 2023 Differential Privacy has Bounded Impact on Fairness in Classification

김초은

Adapting fairness interventions to missing values

박진원

ICML 2023 Approximation Algorithms for Fair Range Clustering

20240120
MiniMax

박유하

minimax_1: Preliminaries ~ General strategy

공인성

minimax_1: Le Cam ~ Assouad

박찬무

minimax_2: Information theory ~ Fano

김건웅

minimax_2: Yang \& Barron ~ Devroye \& Lugosi

박석훈

minimax_3: Extension of Le Cam

정휘창

minimax_3: Extension of Assouad

이지후

minimax_3: Extension of Fano ~ Non finite case

최성식

minimax_4: Rate optimality ~ Examples (M-estimator)

박세현 정한교

minimax_4: Examples (Smooth density estimation) ~ Examples (Functional estimation)

이경선 김초은

minimax_4: Asymptotic efficiency ~ Asymptotic equivalence

세미나 자료

Minimax.zip

20240222
Fairness

김초은

Loss Balancing for Fair Supervised Learning (ICML 2023)

박세현

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks (ICML 2023)

정휘창

Fair Neighbor Embedding (ICML 2023)

정한교

On the Within-Group Fairness of Screening Classifiers (ICML 2023)

박진원

Balanced Fair K-Means Clustering (IEEE 2023)

20240321
Fairness

김초은

Fairness Aware Counterfactuals for Subgroups (NeurIPS 2023)

박세현

FairFed: Enabling Group Fairness in Federated Learning (AAAI 2023)

정휘창

A Fair Generative Model Using LeCam Divergence (AAAI 2023)

이경선

Achieving Counterfactual Fairness for Anomaly Detection PAKDD 2023

이지후

Fair Representation Learning for Recommendation: A Mutual Information Perspective (AAAI 2023)

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification (AAAI 2023)

2023

admidea — Tue, 25 Mar 2025 16:31:31 +0000

20230130
Fairness

박석훈

Fair Bayes-Optimal classifiers under predictive parity

정연호

Counterfactual Fairness with Partially Known Causal Graph

양동윤

On the Tradeoff Between Robustness and Fairness

정휘창

Fair and Efficient Allocations Without Obvious Manipulations

최성식

Fairness without Demographics through Knowledge Distillation

김건웅

박진원

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

이지후

Fairness Reprogramming

박유하

Fair Ranking with Noisy Protected Attributes

박세현

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

박찬무

Conformalized Fairness via Quantile Regression

이종진

Self-Supervised Fair Representation Learning without Demographics

김성현

Fairness Transferability Subject to Bounded Distribution Shift

이경선

Pushing the limits of fairness impossibility: Who’s the fairest of them all?

20231219
XAI

조영래

박찬무

김건웅

박석훈

최성식

신윤섭

2022

admidea — Tue, 25 Mar 2025 16:30:18 +0000

20220114

최성식

Some Methods for Estimating CATE

20220117
Overparameterization

박유하

Benign overfitting in linear regression

정휘창

Benign overfitting in ridge regression

김건웅

Just interpolate: Kernel “ridgeless” regression can generalize

박진원

On uniform convergence and low-norm interpolation learning

최성식

Exact gap between generalization error and uniform convergence in random feature models

이종진

Uniform convergence of interpolators: Gaussian width, norm bounds, and benign overfitting

공인성

In defense of uniform convergence: Generalization via derandomization with an application to interpolating predictors

박석훈

Minimum ℓ1-norm interpolators: Precise asymptotics and multiple descent

이지후

A random matrix analysis of random fourier features: beyond the gaussian kernel, a precise phase transition, and the corresponding double descent

양동윤

Generalization of two-layer neural networks: An asymptotic viewpoint

2021-하반기

admidea — Tue, 25 Mar 2025 16:29:01 +0000

202107

양동윤

Review of Fair Clustering Papers

이종진

Review of Sparsity

최성식

Causal paper review

공인성

Approximate function with DNN

2021-상반기

admidea — Tue, 25 Mar 2025 16:27:46 +0000

20210216

최성식

Ranking problem

20210513

정휘창

Implicit regularization in matrix factorization

김건웅

Characterizing Implicit Bias in Terms of Optimization Geometry

최성식

Implicit Bias of Gradient Descent on Linear Convolutional Networks

양동윤

Gradient descent aligns the layers of deep linear networks

공인성

The Implicit Bias of Gradient Descent on Separable Data

20210520

박석훈

Implicit regularization in deep matrix factorization

박진원

Kernel and rich regimes in overparametrized models

이지후

Implicit bias of gradient descent for wide two-layer neural networks Trained with the Logistic Loss

박유하

The implicit bias of depth, How incremental learning drives generalization

이종진

A unifying view on implicit bias in training linear neural networks

2020-하반기

admidea — Tue, 25 Mar 2025 16:26:37 +0000

20200702

김사라

Constrained Fairness AI Reviews

최용찬

Counterfactual Fairness

20200715

이종진

Practical Secure Aggregation for Privacy-Preserving Machine Learning

정휘창

Abstract Algebra

20200729

공인성

Practical Secure Aggregation for Privacy-Preserving Machine Learning (Ch 3.2, 3.4)

김건웅

Practical Secure Aggregation for Privacy-Preserving Machine Learning (Ch 3.3, 3.5, and 3.6)

20200804

김사라

Individual Fairness AI Reviews

20200825

이종진

Practical Secure Aggregation for Privacy-Preserving Machine Learning (Ch 4, 5)

20200829

문상준

Unconstrained convex optimization through first-order approximation methods

20200907

양동윤

Class activation map

이종진

Neural network pruning

2020-상반기

admidea — Tue, 25 Mar 2025 16:25:06 +0000

20200103

이상엽

Adam, AMSGrad, AdamX

20200107

이종진

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

백규승

Learning Sparse DNN Architecture

20200516

양동윤

Review of DeLiGAN:Generative Adversarial Networks for Diversed and Limited Data

최용찬

VEEGAN : Reducing Mode Collapse in GANs using Implicit Variational Learning

이종진

Bayesian GAN

김건웅

Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images

공인성

Mixture of GANs for Clustering

김성현

On GANs and GMMs

정휘창

Mixture Density Generative Adversarial Networks

백규승

PROBGAN: Towards probabilistic GAN with theoretical guarantees

예성주

Variational Bayesian GAN

최용찬

Label-removed generative adversarial networks incorporationg with K-Means

최성식

A Style-Based Generator Architecture for Generative Adversarial Networks

20200606

채민우

Introduction to Hamiltonian Monte Carlo methods

2019-하반기

admidea — Tue, 25 Mar 2025 16:24:10 +0000

20190701

서지인

A Survey of Algorithms and Analysis for Adaptive Online Learning

20190708

이상엽

백규승

20190909

이상엽

Sparse VAE

백규승

Generalization error bound – via Compressing Deep Neural Network

최용찬

Semi-supervised learning with MixUp method – ICT

김사라

Data Augmentation Reviews

2019-상반기

admidea — Tue, 25 Mar 2025 16:23:23 +0000

20190115
Recommender seminar with 라인 플러스, TL AI DEV팀

최용찬

Causal Embeddings for Recommendation

김주은

Generation Meets Recommendation: Proposing Novel Items for Groups of Users

백규승

Origin of Native FTRL-Proximal

주여진

I mpact of Item Consumption on Assessment of Recommendations in User Studies

김호철

Translation-based Factorization Machines for Sequential Recommendation

20190125
워크샵

황재성

Exact Solution Path Algorithm Of Generalized Lasso For Non Full Rank Case

이상엽

SGD 기반 최적화 기법들의 이론적 성질

김사라

Outcome uncertainty and attendance demand in sport: the case of English soccer

백규승

김성현

Attention Networks for Aspect-Level Sentiment Classification

이종진

20190211

온일상

Sparse variable clustering models

김성현

Selecting climate change scenarios for regional hydrologic impact studies based on climate extremes indices

이종진

Towards dynamic catchment modelling: a Bayesian Hierarchical mixtures of experts framework

20190218

이상엽

SGD 기반 최적화 기법들의 이론적 성질

최용찬

Explainable AI paper

황재성

The Solution Of Generalized Lasso For Non Full Rank Case

20190528

최용찬

Bayesian clinical trials

김주은

공인성

이상엽

이종진

주여진

20190603

김보영

A generalized online mirror descent with applications to classification and regression

김사라

Adaptive Bound Optimization for Online Convex Optimization

백규승

서지인

AdaGrad stepsizes : sharp convergence over nonconvex landscapes, from any initialization

2018-하반기

admidea — Tue, 25 Mar 2025 16:19:18 +0000

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

2018-상반기

admidea — Tue, 25 Mar 2025 16:19:04 +0000

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

2017-하반기

admidea — Tue, 25 Mar 2025 16:17:16 +0000

20170703

김동하

Neural Machine Translation, Answer Sentence Selection

최세민

Deep Learning Models for Information Retrieval

김보영

Next Basket Recommendation

황참이

Generalized Additive Model

전종준

Primal path algorithm for compositional data analysis

20170708

백규승

Learnable pooling with context Gating for video classification

20170714

김동하

Supervised learning exploiting clustering information

온일상

Adaptive Face Verication

최세민

Introduction to face verification

20170722

김동하

Deep Decision Network for Multi-Class Image Classification

최세민

Generative Adversarial Nets

20170731

정구환

Recommendation with Non-Random Missing Data

20171021

온일상

Mixture models with a prior on the number of components

백규승

On the Expressive Power of Deep Neural Networks

김사라

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples

김보영

Instacart 장바구니 자료 분석

20171129

최세민

Capsule Networks

2017-상반기

admidea — Tue, 25 Mar 2025 16:13:32 +0000

20170110

김보영

김동하

Some discovery of deep learning

김성현

DNN & visualization in R

온일상

정구환

김사라

Self Consistency

최세민

Sparse CCA via Precision Adjusted Iterative Thresholding

조성현

Comparison of Ridge Penalized Logistic Model and Ridge Penalized Simple Linear model in Dichotomous response

백규승

Wavelets and high order numerical differentiation

20170303 GS-Shop

김동하

딥러닝에서의 준 지도 학습법에 관한 연구

최세민

Personalized Regression for Recommender System

김보영

Recommender System and Data Analysis

정구환

토픽모형을 이용한 마이크로 세그멘테이션

온일상

Sparse Bayesian factor analysis

20170414 네트워크 시각화

황참이

Glossary of terms

김성현

Network Cohesion & Graph Partitioning

최용찬

자료와 코드

20170504

김사라

김성현

Google Cloud & YouTube-8M Video Understanding Challenge

김보영

Learning without forgetting

백규승

최세민

Hierarchical Multi-Label Classification Using Local Neural Networks

최용찬

ImageNet Classication with Deep Convolutional Neural Networks

20170511

김성현

Google Cloud & YouTube-8M Video Understanding Challenge

백규승

Exploratory data analysis of labels

20170519

김보영

Google Cloud & YouTube-8M Video Understanding Challenge

*회의록

20170519 회의록

20161203

admidea — Tue, 25 Mar 2025 16:00:50 +0000

고세윤

Active Learning

김보영

김사라

Explaining Nonlinear Classification Decisions with Deep Taylor Decomposition

정구환

온일상

Measuring Invariances in Deep Networks

권용찬

3D Multiscale Residual U-Net Architecture for Brain Lesion Segmentation

최세민

백규승

Visualizing and Understanding Convolutional Networks

김성현

Visualizing Higher-Layer Features of a Deep Network

IDEA Lab.

2026 졸업식

2025 하반기

20251202

20251216

20251223

20251230

20251104

20251111

20251125

20251102

Neuro-science

20251026

LLM Persona

20251014

20250928

Fairness

20250928

20250907

Hyperbolic

&Unlearning

20250904

20250806

20250708

20250722

20250729

Professor's pick

2025 상반기

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2025 통계학회

2024-하반기

202408LLM

20241004LLM with Prof.

2024-상반기

202401082023 NeurIPS

20240119Fairness

20240120MiniMax

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20240321Fairness

2023

20230130Fairness

20231219XAI

2022

20220114

20220117Overparameterization

2021-하반기

202107

2021-상반기

20210216

20210513

20210520

2020-하반기

20200702

20200715

20200729

20200804

20200825

20200829

20200907

2020-상반기

20200103

20200107

20200516

20200606

2019-하반기

20190701

20190708

20190909

2019-상반기

20190115Recommender seminar with 라인 플러스, TL AI DEV팀

20190125워크샵

20190211

20190218

20190528

20250501
20250508
20250520
20250525

20250401
20250408
20250415

20250401
20250415
Fairness

20250306
20250320
20250325

20250211
20250225

202502
Conformal Prediction

202501
Statistical learning theory

202408
LLM

20241004
LLM with Prof.

20240108
2023 NeurIPS

20240119
Fairness

20240120
MiniMax

20240222
Fairness

20240321
Fairness

20230130
Fairness

20231219
XAI

20220117
Overparameterization

20190115
Recommender seminar with 라인 플러스, TL AI DEV팀

20190125
워크샵

minimax seminar
김경희 교수님

20181207
Recommender seminar with 라인 플러스, TL AI DEV팀

20181207
Recommender seminar with 라인 플러스, TL AI DEV팀