CLOVA AI x KAIST Joint AI Workshop

On June 19, KAIST AI/ML and Clova AI held the second joint AI workshop. Leading professors and veteran researchers in artificial intelligence and machine learning gave lectures about their recent publications.

Lectures from the workshop (in Korean)

14:00-14:10	Opening Remarks and AI in KAIST	Prof. Alice Oh
14:10-14:30	ML for Underwater Perception	Prof. Ayoung Kim
14:30-14:50	Human-AI Interaction	Prof. Juho Kim
14:50-15:10	Lightweight Visual Recognition	Youngjoon Yoo Ph.D.
15:10-15:30	Large-Scale Graph Mining	Prof. Kijung Shin
15:30-16:30	Poster Session and Coffee Break	KAIST AI Labs
16:30-16:50	Latest ML Research	Prof. Jinwoo Shin
16:50-17:10	Information Theory-Based ML	Prof. Hye Won Chung
17:10-17:30	Curiosity-Based RL and Practical AutoML	Jihoon Kim Ph.D.
17:30-17:50	Computational Social Science Problems	Prof. Meeyoung Cha
17:50-18:00	Closing Remarks and Research Opportunity in Clova AI	Prof. Sung Kim

Between the lectures, 24 students from KAIST AI/ML also delivered a poster presentation on their research works.

Name	Research Advisor	Poster Title	The Venue where the Research was Originally Presented (Conference, Journal, or under Review)
Hwanjun Song	Prof. Jae-Gil Lee	SELFIE: Refurbishing Unclean Samples for Robust Deep Learning	ICML 2019
송경우	Prof. Il-Chul Moon	Hierarchical Context enabled Recurrent Neural Network for Recommendation	AAAI-19
Kyunghwan Son	Prof. Yung Yi	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement learning	ICML 2019
Dae Woo Kim	Prof. Yung Yi	Learning to Schedule Communication in Multi-agent Reinforcement Learning	ICLR 2019
Wissam J. Baddar	Prof. Yong Man Ro	Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition	AAAI
Hyungseok Song	Prof. Yung Yi	Solving Continual Combinatorial Selection via Deep Reinforcement Learning	IJCAI
Raehyuk Jung	Prof. Jean-Charles Bazin	Deep360Up: Deep learning-based approach for automatic upright adjustment of VR images	Published in IEEE VR 2019
Taewon Jeong	Prof. Heeyoung Kim	Ladder Capsule Network	ICML 2019
Dongkwan Kim	Prof. Alice Oh	Homogeneity-Based Transmissive Process To Model True and False News in Social Networks	WSDM 2019
JinYeong Bak	Prof. Alice Oh	Variational Hierarchical User-based Conversation Model	Under Review
박성준	Prof. Alice Oh	Conversation model fine tuning for classifying client’s utterances in counseling dialogues	NAACL 2019
Giwon Hong	Prof. Sung-Hyon Myaeng )	Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding	IWCS 2019
Taehyun Kim	Prof. Se-Young Yun	Orthogonal Feature Regularization: A Novel Approach for training robust models	Under review of NeurIPS 2019
Taegyun Kwon	Prof. Juhan Nam	Graph Neural Network for Music Score Dataand Modeling Expressive Piano Performance	ICML 2019
김수민	Prof. Sungeui Yoon	Single Image Reﬂection Removal with Physically-based Rendering	Under review of ICCV
Tae Kihyun	Prof. Steven Euijong Whang	Data Cleaning for Accurate, Fair, and Robust Models: A Big Data – AI Integration Approach	3rd Int’l Workshop on Data Management for End-to-End Machine Learning, DEEM @ ACM SIGMOD, June 2019
Hankook Lee	Prof. Jinwoo Shin	Learning What and Where to Transfer	ICML2019
Jongheon Jeong	Prof. Jinwoo Shin	Training CNNs with Selective Allocation of Channels	ICML 2019
Geon Heo	Prof. Steven Whang	Inspector Gadget: Massive Image Labeling for Machine Learning	under review
Jinhan Kim	Prof. Shin Yoo	Guiding Deep Learning System Testing using Surprise Adequacy	ICSE 2019
Giseop Kim	Prof. Ayoung Kim	1-Day Learning, 1-Year Localization: Long-term LiDAR Localization using Scan Context Image	ICRA 2019
Hajin Shim	Prof. Eunho Yang	Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding	NeurIPS 2018
Jinwon Yoon	Prof. Hwasoo Yeo	AI-based Mobility: Traffic Predictive Solutions for Large Urban Area	Conference