Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance

Yeongmin Kim, Dongjun Kim, HyeonMin Lee, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization

Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, and Il-Chul Moon , 2022 , Workshop on Spurious Correlations, Invariance and Stability, International Conference on Machine Learning (ICML Workshop 2022) , Jul 22 , Baltimore , USA

Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation

Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon , 2022 , Social Simulation Conference (SSC 2022) , Sep 14 , Milan , Italy

Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters

Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, and Jang Won Bae , 2022 , International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022) , May 9 , Virtual Conference

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model

HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, and Il-Chul Moon , 2022 , International Conference on Machine Learning (ICML 2022) , Jul 17 , Baltimore , USA

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, and Il-Chul Moon , 2022 , International Conference on Machine Learning (ICML 2022) , Jul 17 , Baltimore , USA

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, and Il-Chul Moon , 2021 , Neural Information Processing Systems (NeurIPS 2021) , Dec 7-10 , Virtual Conference

Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation

Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, and Il-Chul Moon , 2021 , Conference on Computer Vision and Pattern Recognition (CVPR 2021) , Jun 19-25 , Virtual Conference

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference

Implicit Kernel Attention

Kyungwoo Song, Yohan Jung, Dongjun Kim, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference

Categorization of AI-Enabled Command and Control in Ballistic Missile Defense

Mu Hyun Byun, and Il-Chul Moon , 2021 , International Command and Control Research and Technology Symposium (ICCRTS 2021) , Oct 18 , Virtual Conference

FEWER: Federated Weight Recovery

Yongjin Shin, Gihun Lee, Seungjae Shin, Se-Young Yun, and Il-Chul Moon , 2020 , Workshop on DistributedML, CoNEXT Conference (CoNEXT Workshop 2020) , Dec 1 , Virtual Conference

Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation

Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, and Il-Chul Moon , 2020 , Findings of EMNLP (Findings@EMNLP 2020) , Nov 16-20 , Virtual Conference