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Korean AI Association

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µî·Ï 9:00∼ µî·Ï <±×·£µåº¼·ë ·Îºñ>
Æ©Å丮¾ó ¼¼¼Ç 1 13:00-15:00  Vision-centric Multi-modal Learning: Introduction and Applications 
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3D Generation via 2D Priors and Neural Rendering: Recent Advances, Limitations, and Future Directions 
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Causal Inference
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ÈÞ½Ä 15:00-15:20 Coffee Break <±×·£µåº¼·ë ·Îºñ/ ¸±¸® ·Îºñ>
Æ©Å丮¾ó ¼¼¼Ç 2 15:20-17:20   AI Fairness: Model-centric and Data-centric Approaches 
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Large Language Models: Introduction and Recent trends 
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Recent Trends in Neural Data Compression: From Generative Models to Neural Fields 
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ÈÞ½Ä 17:20-17:40 ÈÞ½Ä ¹× À̵¿ Á¤±âÃÑȸ <±×·£µåº¼·ë ¥°>
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17:50-18:30 ¿ì¼ö³í¹®½Ã»ó & ¼ö»ó³í¹® ¹ßÇ¥ <±×·£µåº¼·ë ¥°>
18:30-19:00 ¸®¼Á¼Ç <±×·£µåº¼·ë ¥°>
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µî·Ï 08:00-09:00 µî·Ï <±×·£µåº¼·ë ·Îºñ>
Plenary Talk 1 09:00-10:00 Neuro-Causal Models/ Prof. Pradeep Ravikumar(Carnegie Mellon University) <±×·£µåº¼·ë >
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±â¾÷ Ưº°¼¼¼Ç 10:10-11:10 ±â¾÷ Ưº°¼¼¼Ç 1(LG AI¿¬±¸¿ø ÁÖ°ü) <±×·£µåº¼·ë > ±â¾÷ Ưº°¼¼¼Ç 2(¿ÀºêÁ¨, AI´õ´ºÆ®¸®Áø, µö¿ÀÅä) <¸±¸®>
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13:00-14:00 ICML preview <±×·£µåº¼·ë > ºñÁ¯/NLP <¸±¸®>
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±âȹ¼¼¼Ç 1 14:10-15:10 ¸ÖƼ¸ð´Þ ÇнÀ ¿¬±¸ ¿öÅ©¼¥ 
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Recent Advances in Neural
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New and Emerging Issues for AI Governance 
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Next step in Visual Recognition 
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AI Platform to Fully Adapt Privacy-Policy Changes
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ÈÞ½Ä 15:10-15:20 Coffee Break <±×·£µåº¼·ë ·Îºñ/ ¸±¸® ·Îºñ>
±âȹ¼¼¼Ç 2 15:20-16:50 °­È­µÇ´Â À±¸® Á¤Ã¥¿¡ ¹ß¸ÂÃá ÀΰøÁö´É ±â¼ú °³¹ß ¿¬±¸ ¿öÅ©¼¥            <¸±¸® ¥°> ETRI ÃÊÁö´ÉâÀÇ¿¬±¸¼Ò
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Recent advances in    generative models 
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ÈÞ½Ä 16:50-17:00 ÈÞ½Ä ¹× À̵¿
Plenary Talk 2 17:00-18:00 Towards Trustworthy Machine Learning/ Prof. Masashi Sugiyama(The University of Tokyo) <±×·£µåº¼·ë >
ÃÊû°­¿¬ 18:00-18:40 Technology meets Entertainment in HYBE/ Á¤¿ì¿ë ´ëÇ¥(ÇÏÀ̺êIM) <±×·£µåº¼·ë >
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