ACML The First International Workshop
on Machine Learning
for Artificial Intelligence Platforms

Asian Conference on Machine Learning 2017
Seoul, Korea / 15 November 2017

Motivation and Goal

Recently, several successful AI systems such as Amazon Alexa, Google Assistant, and NAVER X LINE Clova are developed based on AI-assistant platforms. These AI platforms contain several common technologies including speech recognition/synthesis, natural language understanding, image recognition, and dialog recommendation.
Building a successful MLAIP is a challenging mission because it requires a novel combination of heterogeneous machine learning models in a unified framework with efficient data processing. The goals of this workshop are to investigate and advance important topics in Machine Learning for AI Platforms (MLAIPs) further. In addition, we expect to provide the collaboration opportunities to researchers on ML theory and diverse application domains as well as industrial engineers

Important dates

Extended abstracts deadline Author Notification Workshop day
30 Sep 2017 10 Oct 2017 15 Nov 2017

Keynote Speech

· Masashi Sugiyama (University of Tokyo)

Invited Speakers

  • · Kyomin Jung (Seoul National University)
  • · Nako Sung (CLAIR, NAVER Corp.)
  • · Jaesik Choi (UNIST)
  • · Lucy Eunjung Park (Papago, NAVER Corp.)

Program Schedule

Start End Contents Speaker
8:20 8:30 Opening Byoung-Tak Zhang
(Seoul National Univ.)
8:30 9:20 Keynote speech Masashi Sugiyama
(Univ. of Tokyo)
9:20 9:50 Invited talk Nako Sung
9:50 10:00 Coffee break
10:00 10:30 Invited talk Kyomin Jung
(Seoul National Univ.)
10:30 11:00 Invited talk TBD
11:00 11:30 Invited talk TBD
11:30 12:30 Lunch
12:30 13:00 Invited talk Lucy Park
(Papago, NAVER)
13:00 14:30 Poster Session Jaesik Choi
14:30 15:20 Panel Discussion: Next-generation AI Platforms for AGI Byoung-Tak Zhang
(Seoul National Univ.)
15:20 15:30 Wrap-up & Closing Byoung-Tak Zhang
(Seoul National Univ.)

Call for Posters

We request 2-page extended abstracts with free-style be submitted by 30 Sep. Accepted abstracts will be presented as posters. Works that had published can be submitted due to no proceeding publication. Topics are below but not limited to:

  • · Novel machine learning models and algorithms for AI platforms
  • · MLAIP for heterogeneous, multi-modal deep learning
  • · Speech recognition and synthesis with MLAIP
  • · Natural language processing applications with MLAIP
  • · Computer vision applications with MLAIP
  • · Recommendation systems with MLAIP
  • · MLAIP for novel integration of multiple application domains
  • · Deep learning for large-scale data

Papers should be submitted to the following address:


  • · Byoung-Tak Zhang (Seoul National University)
  • · Sungroh Yoon (Seoul National University)
  • · Dit-Yan Yeung (Hong Kong University of Science and Technology)
  • · Sung Kim (Hong Kong University of Science and Technology)
  • · Jaesik Choi (Ulsan National Institute of Science and Technology)
  • · Jung-Woo Ha (Clova, NAVER Corp.)