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活动简介

The Indian Workshop on Machine Learning (iWML) was first started by Prof. Harish Karnick and Prof. Purushottam Kar of the Department of Computer Science and Engineering at IIT Kanpur in 2013 that brought together several leading researchers and experts in machine learning and related areas from both the academia as well as the industry. Its second edition was held in 2016 again at IIT Kanpur. With the effort to carry forward this prestigious event, IIT(BHU) is organizing the 3rd edition of iWML during July 1-3, 2018.

The third workshop seeks to further this effort and foster growth and excellence in the emerging machine learning community in India. We have significantly expanded the scope of the workshop, including talks and tutorials on modern and cutting edge topics such as reinforcement learning, non-convex optimization, deep learning, and contemporary applications of machine learning to medicine, social media, and vision. We hope attendees will benefit from the wide variety of topics being covered in the workshop, as well as the interaction with leading researchers.

组委会

Program Committee

  • Aditya Nigam, School of Computing and Electrical Engineering , Indian Institute of Technology, Mandi
  • Amrita Chaturvedi, Department of Computer Science and Engineering , Indian Institute of Technology (BHU), Varanasi
  • Balamurugan Palaniappan, Industrial Engineering and Operations Research , Indian Institute of Technology, Bombay
  • Debi Prosad Dogra, School of School of Electrical Sciences , Indian Institute of Technology, Bhubaneswar
  • Lakshmanan Kailasam, Department of Computer Science and Engineering , Indian Institute of Technology (BHU), Varanasi
  • Naresh Manwani, International Institute of Information Technology, Hyderabad
  • Pratik Chattopadhyay, Department of Computer Science and Engineering , Indian Institute of Technology (BHU), Varanasi
  • Premkumar Karumbu, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram
  • Raju Halder, Department of Computer Science and Engineering , Indian Institute of Technology, Patna
  • Rishi Ranjan Singh, Department of Computer Science and Engineering , Indian Institute of Technology, Bhilai
  • Surya Prakash Agnihotri, Department of Computer Science and Engineering , Indian Institute of Technology, Indore
  • V. Vijaya Saradhi, Department of Computer Science and Engineering , Indian Institute of Technology, Guwahati

General Chair

  • Balaraman Ravindran , Department of Computer Science and Engineering , Indian Institute of Technology, Madras

Program Chairs

  • Piyush Rai, Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur
  • Anirban Dasgupta, Department of Computer Science and Engineering, Indian Institute of Technology, Gandhinagar

Organising Chair

  • Amrita Chaturvedi, Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi

Organizing Committee

  • K. Lakshmanan , Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi
  • Pratik Chattopadhyay, Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi
征稿信息

重要日期

2018-05-30
初稿截稿日期
2018-06-07
初稿录用日期

Technical Areas: Papers are solicited in all areas of machine learning including, but not limited to:

• Learning algorithms: Bayesian learning, graphical models, deep learning, kernel and non-parametric methods, approximate inference, structured prediction, ranking, multi-label classification, neural net- works, dimensionality reduction, and optimization.

• Applications: applications to natural language processing, text analysis, recommendation systems, computer vision, systems biology, web and social network analysis, and data mining. • Reinforcement learning: online learning, bandit learning, planning, decision and control, Markov decision processes, and multi-agent systems.

• Theory: statistical learning theory, generalization error bounds, lower bounds or hardnessresults.

• Signal processing: coding, denoising, segmentation, sparse recovery, and source separation.

作者指南

Submissions must be no longer than 4 pages (including figures, references, and all appendices) and must be typeset in LATEX or MS Word using style files available on the submission website. Please note that weare implementing a single-blind reviewing system for the workshop. Accordingly, submissions must clearly mention names and affiliations of all the authors. Any submissions deviating substantially from the prescribed format will be rejected without review. All papers must be submitted according to instructions given on the workshop website.

Submission Instructions

Authors are requested to closely follow the submission procedure

  1. Download the iWML 2018 style package here . Use only the LaTeX or MS Word style files provided therein to prepare your paper.
  2. Read the instructions regarding paper formatting given here.
  3. If your paper falls under the Dual Submissions category, please remember to include a section in your paper detailing the same.
  4. We accept only PDF submissions. Authors using MS Word must convert their paper to PDF themselves.
  5. Submit your paper on this email : iwml.iitbhu@gmail.com
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重要日期
  • 会议日期

    07月01日

    2018

    07月03日

    2018

  • 05月30日 2018

    初稿截稿日期

  • 06月07日 2018

    初稿录用通知日期

  • 07月03日 2018

    注册截止日期

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